Sökresultat för "Data Quality"

Professional Galaxy is an IT and technology consulting company that provides highly specialized expertise within IT, software development, SAP, purchasing, electronics and mechanical design. We collaborate with experienced senior experts and deliver strategic value-creating expertise to some of Sweden's most complex and analytically demanding projects. Our focus is always on high quality, professionalism and clear, measurable results. We are now seeking a Data Analyst for one of our clients. About the assignment: IT & Digitalization BI & Analytics specialist This is us VGRE is strengthening its data driven capabilities to enable better operational and strategic decisions. Reporting and analytics are currently fragmented, and this role plays a key part in creating structure, clear ownership, and trusted insights across the organization. Your main responsibilities will be • Own end to end Power BI reporting for VGRE (development, maintenance, quality, lifecycle). • Consolidate and rationalize/streamline existing reports to reduce duplication and fragmented reporting. • Act as single point of contact for Power BI reports and underlying data. • Perform data analysis to identify trends, deviations, and improvement opportunities. • Ensure high data quality and accuracy, governance, and “one source of truth” principles. • Contribute and drive BI strategy, roadmap, and ways of working, balancing delivery and long term structure. • Support the move towards self service BI through well documented datasets and analytical models. • Explore and build analytical models (forecasting, basic ML) for predictive insights. To be successful in this job you will need the following toolbox Experience & skills • Strong hands on Power BI skills (data modeling and visualization). • Good business understanding, especially financial and operational data. • Experience working with large datasets and applying data quality principles. Personal competences • Structured, analytical, and detail oriented. • Ability to bring structure in ambiguity and actively help shape and form the role as VGRE’s BI capability evolves. • Clear communicator, able to turn data into insights and stories. • Hands on, delivery oriented, and pragmatic. • Curious mindset with a focus on continuous improvement. • Team player, comfortable working in English. Minimum 5 years’ experience. Uppdragsinformation Uppdragslängd: 2026-05-04 to 2026-11-30 Placeringsort: Göteborg Svar önskas snarast, dock senast 2026-05-01. Are you the right person for the assignment, or do you want to recommend a strong candidate? Do not hesitate to contact us. Please apply directly through our system with: - Your updated CV in english - Availability to start the assignment In the motivation, describe why you are suitable for this assignment - refer to previous consulting assignments, employmxent, education and personal qualities. Please note: We do not accept any applications through mail. All applications have to be sent through the portal to be valid. Offer continuously: Please note that for this role we offer continuously. That means that we sometimes remove the assignments before the deadline. If you are interested, we recommend that you apply immediately.

Validio AB is a Stockholm-based software company providing a data quality and observability platform. The role is part of the Validation Engine team, responsible for backend services that read data from source systems (e.g. BigQuery, Snowflake, Kafka), run data validation logic, and report incidents to downstream systems. The employee will design, develop, test, and maintain backend components of this system. Main duties Design, develop, and maintain backend services in Rust and Go Develop and maintain SQL query generation logic across multiple database dialects (e.g. BigQuery, Snowflake, ClickHouse, Postgres) Define and maintain service contracts using Protocol Buffers and gRPC Build and maintain data source connectors, including schema introspection and authentication Diagnose and resolve production issues in distributed backend systems Write automated tests and maintain technical documentation for backend components Collaborate with Customer Success and Solutions Engineering teams to translate reported technical issues into engineering solutions Deploy and operate services using Kubernetes and related infrastructure tooling Qualifications University degree in Computer Science, Software Engineering, or equivalent professional experience Documented professional experience developing and maintaining production backend services in Rust or Go Strong working knowledge of SQL, including query optimization and execution plan analysis Experience with distributed systems and message-streaming technologies (e.g. Kafka) Experience with containerized deployment (Kubernetes) Professional proficiency in English

Who We Are Moniepoint is Africa’s all-in-one financial ecosystem, empowering businesses and their customers with seamless payment, banking, credit, and management tools. In 2023, we processed $182 billion and are Nigeria’s largest merchant acquirer. We are on a mission to create financial happiness for everyone, everywhere. What We Do At Moniepoint, we are a customer-focused community dedicated to crafting solutions that redefine our industry. We leverage artificial intelligence and data-driven best practices to support our businesses, from providing credit and overdrafts to ensuring every transaction is secure. Curious about what makes Moniepoint an incredible place to work? Check out our stories on how we cultivate a culture of innovation, teamwork, and growth.   Job Title: Data Entry Officer Reports To: Lead, Onboarding Location: Oyo State: Iddo and Egbeda Work Mode: Hybrid Employment Type: Outsourcing   Job Purpose The Data Entry Specialist ensures that customer accounts, product catalogues, inventory records, and pricing data are accurately entered and maintained within the Moniebook platform. Working closely with Onboarding Specialists and Account Managers, you keep data clean and ready from day one, enabling fast go-lives, reliable reporting, and a smooth experience for every retail customer. Success is measured by accuracy rates, turnaround time, and your contribution to a scalable, error-free operational foundation. Key Responsibilities Data Entry & Record Management * Input, update, and maintain merchant data, including product catalogues, SKUs, pricing, inventory levels, and customer profiles. * Process bulk data imports from spreadsheets and CSV files, validating format and completeness before upload. * Ensure all records adhere to Moniebook's data standards and naming conventions. Onboarding Data Support * Prepare merchant accounts ahead of onboarding by populating required product, inventory, and configuration data within agreed timelines. * Review merchant-submitted data templates for errors or missing fields and follow up to resolve gaps before entry. * Support the setup of catalogue structures, tax configurations, and payment settings as directed by the Onboarding team. Data Validation & Quality Assurance * Conduct checks to identify and correct errors, duplicates, or outdated records. * Cross-reference data across spreadsheets, CRM, and POS backend to ensure consistency. * Flag and document data anomalies, routing them to the appropriate team for resolution. Process & Documentation * Maintain accurate records of data entry activities, import logs, and correction history in the CRM. * Document common errors and resolutions to build a shared knowledge base and reduce repeat mistakes. * Identify recurring workflow bottlenecks and recommend improvements to the Operations lead. Cross-Functional Collaboration * Fulfil ad-hoc data requests from Onboarding Specialists, Account Managers, and Support teams within SLA windows. * Coordinate with internal teams to gather missing customer data without delaying onboarding timelines. Qualifications * 1-3 years in data entry, data operations, or a similar role — preferably in SaaS, retail tech, or fintech. * Exceptional attention to detail with a track record of high accuracy across large data volumes. * Proficiency in Excel or Google Sheets (data cleaning, VLOOKUP/XLOOKUP, basic formulas). * Familiarity with CRM platforms or POS/back-office SaaS tools. * Strong organisational skills with the ability to manage multiple projects simultaneously. Preferred * Experience with bulk CSV imports, data migration, or catalogue management in a SaaS context. * Exposure to retail operations, inventory systems, or point-of-sale platforms. * Experience supporting an onboarding, implementation, or customer success team. * The candidate should be based in Iddo and Egbeda About You * You're obsessively detail-oriented and take genuine pride in clean, accurate data. * You're process-driven but proactive, you follow workflows and flag problems before they escalate. * You're a team player who understands that your work sits at the heart of the customer journey. * You're calm under pressure and can handle high volumes without cutting corners. * You're tech-savvy and always looking for smarter, faster ways to work. What Success Looks Like * 99%+ data entry accuracy across merchant account builds and catalogue uploads. * Zero go-live delays attributable to data readiness. * All ad-hoc data requests fulfilled within defined SLA windows * Open task backlog kept below 5% at any given time. * Achieve >4.5+ average rating score from Onboarding Specialists and Account Managers on data quality and turnaround. What we can offer you * Culture: We put our people first and prioritize the well-being of every team member. We’ve built a company where all voices are heard, and we look out for one another. Above all, we are human. * Learning: We have a learning- and development-focused environment with an emphasis on knowledge sharing and training. * Compensation: You’ll receive an attractive salary, pension, health insurance, and an annual bonus, plus other benefits. What to expect in the hiring process * A preliminary phone call with the recruiter. * An interview with the hiring team. * An interview with a member of our executive team. Moniepoint Inc. is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees and candidates.

Who We Are Moniepoint Inc. is Africa’s all-in-one financial platform, helping 20 million businesses and individuals access seamless payments, banking, credit, cross-border, and business management tools each month.  As Nigeria’s largest merchant acquirer, we power most of the country’s point-of-sale (POS) transactions. Through our subsidiaries, Moniepoint Inc. processes over $250 billion in digital payment transaction value annually. What We Do At Moniepoint, we are a customer-focused community dedicated to crafting solutions that redefine our industry. We leverage artificial intelligence and data-driven best practices to support our businesses, from providing credit and overdrafts to ensuring every transaction is secure. Curious about what makes Moniepoint an incredible place to work? Check out our stories on how we cultivate a culture of innovation, teamwork, and growth. Job Title: Data Entry Officer Reports To: Lead, Onboarding Location: Owerri Municipal and Owerri West Work Mode: Outsourced and Hybrid Job Purpose The Data Entry Officer ensures that customer accounts, product catalogs, inventory records, and pricing data are accurately entered and maintained within the Moniebook platform. Working closely with Onboarding Specialists and Account Managers, you keep data clean and ready from day one, enabling fast go-lives, reliable reporting, and a smooth experience for every retail customer. Success is measured by accuracy rates, turnaround time, and your contribution to a scalable, error-free operational foundation. Key Responsibilities Data Entry & Record Management * Input, update, and maintain merchant data, including product catalogues, SKUs, pricing, inventory levels, and customer profiles. * Process bulk data imports from spreadsheets and CSV files, validating format and completeness before upload. * Ensure all records adhere to Moniebook's data standards and naming conventions. Onboarding Data Support * Prepare merchant accounts ahead of onboarding by populating required product, inventory, and configuration data within agreed timelines. * Review merchant-submitted data templates for errors or missing fields and follow up to resolve gaps before entry. * Support the setup of catalogue structures, tax configurations, and payment settings as directed by the Onboarding team. Data Validation & Quality Assurance * Conduct checks to identify and correct errors, duplicates, or outdated records. * Cross-reference data across spreadsheets, CRM, and POS backend to ensure consistency. * Flag and document data anomalies, routing them to the appropriate team for resolution. Process & Documentation * Maintain accurate records of data entry activities, import logs, and correction history in the CRM. * Document common errors and resolutions to build a shared knowledge base and reduce repeat mistakes. * Identify recurring workflow bottlenecks and recommend improvements to the Operations lead. Cross-Functional Collaboration * Fulfil ad-hoc data requests from Onboarding Specialists, Account Managers, and Support teams within SLA windows. * Coordinate with internal teams to gather missing customer data without delaying onboarding timelines. Qualifications * 1-3 years in data entry, data operations, or a similar role — preferably in SaaS, retail tech, or fintech. * Exceptional attention to detail with a track record of high accuracy across large data volumes. * Proficiency in Excel or Google Sheets (data cleaning, VLOOKUP/XLOOKUP, basic formulas). * Familiarity with CRM platforms or POS/back-office SaaS tools. * Strong organisational skills with the ability to manage multiple projects simultaneously. Preferred * Experience with bulk CSV imports, data migration, or catalogue management in a SaaS context. * Exposure to retail operations, inventory systems, or point-of-sale platforms. * Experience supporting an onboarding, implementation, or customer success team. * The candidate should be based in Owerri Municipal and Owerri West. About You * You're obsessively detail-orientated and take genuine pride in clean, accurate data. * You're process-driven but proactive, you follow workflows and flag problems before they escalate. * You're a team player who understands that your work sits at the heart of the customer journey. * You're calm under pressure and can handle high volumes without cutting corners. * You're tech-savvy and always looking for smarter, faster ways to work. What Success Looks Like * 99%+ data entry accuracy across merchant account builds and catalogue uploads. * Zero go-live delays attributable to data readiness. * All ad-hoc data requests fulfilled within defined SLA windows * Open task backlog kept below 5% at any given time. * Achieve >4.5+ average rating score from Onboarding Specialists and Account Managers on data quality and turnaround. What we can offer you * Culture: We put our people first and prioritize the well-being of every team member. We’ve built a company where all voices are heard, and we look out for one another. Above all, we are human. * Learning: We have a learning- and development-focused environment with an emphasis on knowledge sharing and training. * Compensation: You’ll receive an attractive salary, pension, health insurance, and an annual bonus, plus other benefits. What to expect in the hiring process * A preliminary phone call with the recruiter. * An interview with the hiring team. * An interview with a member of our executive team. Moniepoint Inc. is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees and candidates.

Who We Are Moniepoint Inc. is Africa’s all-in-one financial platform, helping 20 million businesses and individuals access seamless payments, banking, credit, cross-border, and business management tools each month.  As Nigeria’s largest merchant acquirer, we power most of the country’s point-of-sale (POS) transactions. Through our subsidiaries, Moniepoint Inc. processes over $250 billion in digital payment transaction value annually. What We Do At Moniepoint, we are a customer-focused community dedicated to crafting solutions that redefine our industry. We leverage artificial intelligence and data-driven best practices to support our businesses, from providing credit and overdrafts to ensuring every transaction is secure. Curious about what makes Moniepoint an incredible place to work? Check out our stories on how we cultivate a culture of innovation, teamwork, and growth. Job Title: Data Entry Officer Reports To: Lead, Onboarding Location: Enugu North and Nsukka Work Mode: Outsourced and Hybrid Job Purpose The Data Entry Officer ensures that customer accounts, product catalogs, inventory records, and pricing data are accurately entered and maintained within the Moniebook platform. Working closely with Onboarding Specialists and Account Managers, you keep data clean and ready from day one, enabling fast go-lives, reliable reporting, and a smooth experience for every retail customer. Success is measured by accuracy rates, turnaround time, and your contribution to a scalable, error-free operational foundation. Key Responsibilities Data Entry & Record Management * Input, update, and maintain merchant data, including product catalogues, SKUs, pricing, inventory levels, and customer profiles. * Process bulk data imports from spreadsheets and CSV files, validating format and completeness before upload. * Ensure all records adhere to Moniebook's data standards and naming conventions. Onboarding Data Support * Prepare merchant accounts ahead of onboarding by populating required product, inventory, and configuration data within agreed timelines. * Review merchant-submitted data templates for errors or missing fields and follow up to resolve gaps before entry. * Support the setup of catalogue structures, tax configurations, and payment settings as directed by the Onboarding team. Data Validation & Quality Assurance * Conduct checks to identify and correct errors, duplicates, or outdated records. * Cross-reference data across spreadsheets, CRM, and POS backend to ensure consistency. * Flag and document data anomalies, routing them to the appropriate team for resolution. Process & Documentation * Maintain accurate records of data entry activities, import logs, and correction history in the CRM. * Document common errors and resolutions to build a shared knowledge base and reduce repeat mistakes. * Identify recurring workflow bottlenecks and recommend improvements to the Operations lead. Cross-Functional Collaboration * Fulfil ad-hoc data requests from Onboarding Specialists, Account Managers, and Support teams within SLA windows. * Coordinate with internal teams to gather missing customer data without delaying onboarding timelines. Qualifications * 1-3 years in data entry, data operations, or a similar role — preferably in SaaS, retail tech, or fintech. * Exceptional attention to detail with a track record of high accuracy across large data volumes. * Proficiency in Excel or Google Sheets (data cleaning, VLOOKUP/XLOOKUP, basic formulas). * Familiarity with CRM platforms or POS/back-office SaaS tools. * Strong organisational skills with the ability to manage multiple projects simultaneously. Preferred * Experience with bulk CSV imports, data migration, or catalogue management in a SaaS context. * Exposure to retail operations, inventory systems, or point-of-sale platforms. * Experience supporting an onboarding, implementation, or customer success team. * The candidate should be based in Enugu North and Nsukka/ About You * You're obsessively detail-orientated and take genuine pride in clean, accurate data. * You're process-driven but proactive, you follow workflows and flag problems before they escalate. * You're a team player who understands that your work sits at the heart of the customer journey. * You're calm under pressure and can handle high volumes without cutting corners. * You're tech-savvy and always looking for smarter, faster ways to work. What Success Looks Like * 99%+ data entry accuracy across merchant account builds and catalogue uploads. * Zero go-live delays attributable to data readiness. * All ad-hoc data requests fulfilled within defined SLA windows * Open task backlog kept below 5% at any given time. * Achieve >4.5+ average rating score from Onboarding Specialists and Account Managers on data quality and turnaround. What we can offer you * Culture: We put our people first and prioritize the well-being of every team member. We’ve built a company where all voices are heard, and we look out for one another. Above all, we are human. * Learning: We have a learning- and development-focused environment with an emphasis on knowledge sharing and training. * Compensation: You’ll receive an attractive salary, pension, health insurance, and an annual bonus, plus other benefits. What to expect in the hiring process * A preliminary phone call with the recruiter. * An interview with the hiring team. * An interview with a member of our executive team. Moniepoint Inc. is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees and candidates.

Who We Are Moniepoint Inc. is Africa’s all-in-one financial platform, helping 20 million businesses and individuals access seamless payments, banking, credit, cross-border, and business management tools each month.  As Nigeria’s largest merchant acquirer, we power most of the country’s point-of-sale (POS) transactions. Through our subsidiaries, Moniepoint Inc. processes over $250 billion in digital payment transaction value annually. What We Do At Moniepoint, we are a customer-focused community dedicated to crafting solutions that redefine our industry. We leverage artificial intelligence and data-driven best practices to support our businesses, from providing credit and overdrafts to ensuring every transaction is secure. Curious about what makes Moniepoint an incredible place to work? Check out our stories on how we cultivate a culture of innovation, teamwork, and growth. Job Title: Data Entry Officer Reports To: Lead, Onboarding Location: Idemili North and Onitsha North Work Mode: Outsourced and Hybrid Job Purpose The Data Entry Officer ensures that customer accounts, product catalogs, inventory records, and pricing data are accurately entered and maintained within the Moniebook platform. Working closely with Onboarding Specialists and Account Managers, you keep data clean and ready from day one, enabling fast go-lives, reliable reporting, and a smooth experience for every retail customer. Success is measured by accuracy rates, turnaround time, and your contribution to a scalable, error-free operational foundation. Key Responsibilities Data Entry & Record Management * Input, update, and maintain merchant data, including product catalogues, SKUs, pricing, inventory levels, and customer profiles. * Process bulk data imports from spreadsheets and CSV files, validating format and completeness before upload. * Ensure all records adhere to Moniebook's data standards and naming conventions. Onboarding Data Support * Prepare merchant accounts ahead of onboarding by populating required product, inventory, and configuration data within agreed timelines. * Review merchant-submitted data templates for errors or missing fields and follow up to resolve gaps before entry. * Support the setup of catalogue structures, tax configurations, and payment settings as directed by the Onboarding team. Data Validation & Quality Assurance * Conduct checks to identify and correct errors, duplicates, or outdated records. * Cross-reference data across spreadsheets, CRM, and POS backend to ensure consistency. * Flag and document data anomalies, routing them to the appropriate team for resolution. Process & Documentation * Maintain accurate records of data entry activities, import logs, and correction history in the CRM. * Document common errors and resolutions to build a shared knowledge base and reduce repeat mistakes. * Identify recurring workflow bottlenecks and recommend improvements to the Operations lead. Cross-Functional Collaboration * Fulfil ad-hoc data requests from Onboarding Specialists, Account Managers, and Support teams within SLA windows. * Coordinate with internal teams to gather missing customer data without delaying onboarding timelines. Qualifications * 1-3 years in data entry, data operations, or a similar role — preferably in SaaS, retail tech, or fintech. * Exceptional attention to detail with a track record of high accuracy across large data volumes. * Proficiency in Excel or Google Sheets (data cleaning, VLOOKUP/XLOOKUP, basic formulas). * Familiarity with CRM platforms or POS/back-office SaaS tools. * Strong organisational skills with the ability to manage multiple projects simultaneously. Preferred * Experience with bulk CSV imports, data migration, or catalogue management in a SaaS context. * Exposure to retail operations, inventory systems, or point-of-sale platforms. * Experience supporting an onboarding, implementation, or customer success team. * The candidate should be based in Idemili North and Onitsha North. About You * You're obsessively detail-oriented and take genuine pride in clean, accurate data. * You're process-driven but proactive, you follow workflows and flag problems before they escalate. * You're a team player who understands that your work sits at the heart of the customer journey. * You're calm under pressure and can handle high volumes without cutting corners. * You're tech-savvy and always looking for smarter, faster ways to work. What Success Looks Like * 99%+ data entry accuracy across merchant account builds and catalogue uploads. * Zero go-live delays attributable to data readiness. * All ad-hoc data requests fulfilled within defined SLA windows * Open task backlog kept below 5% at any given time. * Achieve >4.5+ average rating score from Onboarding Specialists and Account Managers on data quality and turnaround. What we can offer you * Culture: We put our people first and prioritize the well-being of every team member. We’ve built a company where all voices are heard, and we look out for one another. Above all, we are human. * Learning: We have a learning- and development-focused environment with an emphasis on knowledge sharing and training. * Compensation: You’ll receive an attractive salary, pension, health insurance, and an annual bonus, plus other benefits. What to expect in the hiring process * A preliminary phone call with the recruiter. * An interview with the hiring team. * An interview with a member of our executive team. Moniepoint Inc. is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees and candidates.

PostNord is making a significant investment in strengthening its sustainability and ESG reporting capabilities towards customers as part of our data‑driven transformation. To support this journey, we are building a new ESG data foundation – and we are looking for an ESG Data Engineer to help define and build it. This is a key role in a new setup, where you will contribute to establishing trusted, scalable and auditable ESG data pipelines that sustainability reporting across the Group will rely on. You will help turn ESG reporting requirements into reliable data solutions from the ground up. The role sits within the Analytics Center of Excellence, responsible for shaping the future data and analytics landscape at PostNord. You will work with our Azure‑based data platform and collaborate closely with sustainability specialists. This position is ideal for someone who wants to take real responsibility, build something fundamental and apply strong technical skills in a purpose‑driven domain. Your role As a Data Engineer working with Sustainability & ESG, you will design and maintain data models and pipelines that support: Regulatory and statutory sustainability reporting (e.g. CSRD) Internal sustainability KPIs and performance management Management and operational insights related to climate impact, energy, transport, suppliers, and social responsibility You will work closely with sustainability experts, business stakeholders, Power BI developers, and the central data platform team to ensure data quality, traceability, and scalability. Job duties Enable a self-service data architecture that provides trusted sustainability and ESG data across the organization Design, develop, and deploy fact- and dimension-based data models to support sustainability reporting and analytics Build and maintain ETL/ELT pipelines integrating data from multiple operational, finance, and external sources Collaborate with sustainability, finance, and compliance stakeholders to translate reporting requirements into robust data solutions Ensure data quality, lineage, and transparency, supporting auditability and regulatory needs Collaborate with the Data Platform team to align on architecture standards and best practices Work with modern Azure-based data platforms, contributing to scalable and secure solutions Strong analytical skills and the ability to apply complex business and sustainability logic to raw data Data modeling and data warehousing Database design and ETL/ELT development Performance tuning and scalable data solutions Experience or strong interest in sustainability, ESG, or regulatory reporting domains Good understanding of front-end analytics and reporting tools (e.g. Power BI) Experience in requirement analysis, prototyping, and stakeholder collaboration A collaborative mindset and ability to work closely with business, sustainability specialists, and technical teams Preferably hands-on experience with: Databricks, Azure DevOps, Git, (Py)Spark, Python, CI/CD pipelines, Azure Data Platform, Medallion architecture. Ways of working You will work in an agile environment, applying a pragmatic SAFe-inspired approach adapted to team and product needs. As a Data Engineer at PostNord, you will remain hands-on, while also collaborating closely with Power BI developers, sustainability specialists, product owners, and domain teams to ensure solutions meet business and regulatory expectations. Your profile You have several years of experience as a Data Engineer or BI/Data Engineer in a data-intensive environment. You understand how to design enterprise-grade, reliable, and auditable data models, and you enjoy working close to the business. You are curious, eager to learn, and motivated by using data and technology to support sustainability, transparency, and responsible business practices. We offer you A flexible hybrid workplace in a prestige-free and collaborative culture Opportunities for professional and personal development A Nordic working environment with strong values In addition, we offer: Good insurance and occupational pension conditions Wellness allowance & access to office gym and swimming pool Employee benefits through PostNord’s employee foundation Employment according to a collective agreement We make everyday life easier – and more sustainable PostNord is the leading supplier of communication and logistics solutions to, from, and within the Nordic region. We aim to make everyday life easier and more sustainable for everyone who lives and works in the Nordics. We value accountability, courage, and commitment, and we believe diversity and teamwork lead to better outcomes. Apply We look forward to receiving your application! For questions about the role, please contact: Pernille Skovborg – Manager of Analytics Center of Excellence at pernille.skovborg@postnord.com. PostNord offers communications and logistics solutions to, from and within the Nordic region. With our expertise and a unique distribution network, we are developing the basis for tomorrow’s communication, e-commerce, distribution and logistics.

Quartr is a software company serving the world of finance. Every day, leading companies and financial institutions worldwide use our products to research faster and understand deeper. For too long, markets have been obsessed with numbers. Everyone has access to the same quantitative data, while qualitative insights – the words, the signals, the nuance – have remained mostly in the shadows. We make those insights accessible, searchable, and actionable. Our products are used daily by some of the most sophisticated teams in finance and tech, including major hedge funds and Magnificent 7 companies, and over a million finance professionals have downloaded our mobile app. We're backed by some of the smartest minds in our industry and growing fast at a global scale, and we're still at the very beginning of what we expect to be a multi-decade journey. As a Data Sourcing Controller, you will be part of the Data Sourcing team at Quartr. The team's main function is to ensure that investor relations data and public financial information, such as earnings calls, reports, presentations, and more, are accurately gathered and delivered to our users and clients. What you’ll do Gather and collect earnings data from publicly listed companies. Regularly check and monitor investor relations pages for new updates and relevant data. Support internal and external stakeholders in data-related inquiries. Source additional data types, such as company presentations, earnings reports, and earnings calls, and contribute to expanding our coverage of publicly listed companies. You'll primarily focus on a specific market within our coverage, working as part of a dedicated team responsible for that market. Who you are You have a high attention to detail An ambitious and curious person Responsible and very time-conscious A communicative team player with excellent collaboration skills Interest in finance and/or an academic background is a plus Additional information about the role Full-time role Start date: As soon as possible, or by agreement This role can be performed remotely, in a hybrid setup, or from our offices in Stockholm or Gothenburg Please note that this is not a finance analysis, budgeting/accounting, coding, or research role. Note: You need to be based in Sweden with a valid work permit. What we offer Do your life's work: The world's leading finance professionals use Quartr daily. We do fewer things better and hold a very high bar for quality. Join the foundational team: We're still at the very beginning of a multi-decade journey. You'll have a big influence on product, culture, and how we win. Real ownership: We believe in shared success. Every team member gets equity exposure, so we all benefit from the value we create. Meritocracy over hierarchy: You'll join a culture where the best idea wins. We value clear thinking, leave ego at the door, and obsess over the details. Office culture with flexibility: Join us in one of our offices. We value being together, while also offering flexibility to work from home when needed. Compensation & well-being: We offer competitive salaries, benefits, and a generous wellness allowance to support your physical and mental health. We include occupational pension for all employees in Sweden.

About the role We are looking for a Senior Software Engineer with strong hands-on experience in Python, Azure, CI/CD and modern engineering practices. You will improve developer productivity by building internal tooling, reusable automation and scalable CI/CD solutions while supporting Azure-based data platforms. The role combines software engineering, DevOps and data-platform enablement in a cross-functional environment. This is a hands-on engineering role. We are not looking for a pure platform administrator, architect or research-focused ML engineer. Preferred location: Sweden Requirement: EU citizenship Responsibilities - Develop Python-based automation, tooling and engineering workflows. - Build and maintain GitHub Actions, GitHub Workflows and reusable CI/CD pipelines. - Support Azure-based data platforms, including Databricks and related technologies. - Improve software quality, traceability and engineering processes. - Collaborate with engineering and platform teams to deliver scalable technical solutions. Must-have - Strong Python skills for production-oriented automation and tooling. - Practical hands-on experience with Azure Databricks (approximately SFIA Level 3 or equivalent), ideally including development of notebooks, pipelines/jobs or Spark-based solutions. - Experience with Azure data-platform technologies such as Spark, Kafka, Hadoop, schema enforcement, data quality validation or Power BI. - Hands-on experience with GitHub Actions, GitHub Workflows and reusable workflow design. - Solid Docker experience. - Experience working with CI/CD in Windows and Linux environments. - Ability to work independently while collaborating across teams. - EU citizenship. Meritorious - Data governance and data modelling. - Machine Learning model deployment. - GitHub CLI (gh), REST APIs or GraphQL APIs. - JFrog Artifactory or similar. - Bash and/or PowerShell. - Git LFS. - GitHub Enterprise Server and self-hosted runners. - AI-powered developer tools or agentic engineering workflows.

Job Description WHAT YOU’LL DO We are looking for a Data Analyst to join our team for a fixed-term duration of 14 months, covering a parental leave. You’ll bring a solid technical foundation, problem-solving aptitude, and a passion for contributing to a collaborative team environment within sustainability topics. The primary focus is developing high-quality analyses that meet our Resource Use and Circularity sustainability needs and technological standards. You will be contributing to the short- and long-term priorities aligned with the PI roadmap. Some of your responsibilities will include Understanding the added value of product / team’s work. Following up OKRs through setting and following up KPIs. Data discovery, building data products, testing and evaluating model outputs, in collaboration closely with other roles in the product / team, i.e. DE, Business Expert, etc. Solving complex problems by turning vast amounts of data into business insights through advanced analytics and effectively communicating findings to a variety of stakeholders. Framing the problem together with stakeholders, exploring large data sets, preparing data for own analysis. Creating and maintaining documentation related to your work to ensure that stakeholders have the necessary information to understand the data & analysis of input/outputs. Sharing knowledge in Communities of Practice, thereby enriching collective understanding and fostering a culture of continuous learning. WHO YOU’LL WORK WITH You will be part of Tech Sustainability team in Corporate Tech Domain. You will work closely with the data analysts from all sustainability areas and the program manager and data engineer from your scope. WHO YOU ARE We are looking for people with… Academic degree in Statistics, Engineering or related field. Proficiency in Power BI as data visualization and reporting tool. High proficiency in SQL. Proven ability to independently lead data projects, maintain strong relationships with business stakeholders, and design technical solutions that address complex business requirements. Strong experience with data modelling, and different connectors for data solutions (Big Query, SharePoint). Experience with Google Cloud environment, data quality and testing. It is also preferred to have... Working knowledge of Python and/or R for data analysis, automation, and statistical modelling. Experience working with sustainability data or CSRD legal reporting. Experience with BigQuery, Dataform, dbt, or similar cloud-based data transformation frameworks. Knowledge of data governance, data lineage, metadata management, and master data management practices. Understanding of sustainability reporting standards and regulations (e.g., CSRD, ESRS). And people who have… Experience working in agile, iterative product development environments. A Proactive, ownership-driven attitude with the ability to manage ambiguity and adapt quickly to change. Curiosity and a continuous improvement mindset. A collaborative approach, always looking for ways to enhance the product and the team’s ways of working. WHO WE ARE H&M Group is a global company of strong fashion brands and ventures. Our goal is to prove that there is no compromise between exceptional design, affordable prices, and sustainable solutions. We want to liberate fashion for the many, and our customers are at the heart of every decision we make. We are made up of thousands of passionate and talented colleagues united by our shared culture and values. Together, we want to use our power, our scale, and our knowledge to push the fashion industry towards a more inclusive and sustainable future. WHY YOU’LL LOVE WORKING HERE At H&M Group, we are proud to be a vibrant and welcoming company. We offer our employees attractive benefits with extensive development opportunities around the globe. All our employees are included in our H&M Incentive Program (HIP) All our employees receive a staff discount card, usable on all our H&M Group brands in stores and online. Brands covered by the discount are H&M (Beauty and Move included), COS, Weekday, Monki, H&M HOME, & Other Stories, ARKET, Afound. A dynamic, entrepreneurial environment where your insights directly influence strategic decisions. A collaborative culture that values innovation, continuous learning, and knowledge sharing. JOIN US Our uniqueness comes from a combination of many things – our inclusive and collaborative culture, our strong values, and opportunities for growth. But most of all, it’s our people who make us who we are. Take the next step in your career together with us. The journey starts here. *We are committed to a recruitment process that is fair, equitable, and based on competency. We therefore kindly ask you to not attach a cover letter in your application.

What will you do? As a Senior Analytics Engineer at Rebtel, you are the person who makes data trustworthy and usable at scale. You sit at the heart of our data platform, sitting between the pipelines that bring data in and the teams who rely on it to make decisions every day. Your job isn't to do the reporting; it's to make great analytics possible for everyone else. This is a hands-on engineering role with real ownership. You'll take charge of our transformation layer in dbt, own the semantic layer in Looker, and make sure that data across the organization is well-modeled, tested, documented, and trusted. You'll work closely with our Data Engineer on platform quality and standards, and partner with stakeholders across product, growth, finance, and operations to turn their data needs into solid, self-service data products. If you care deeply about data quality and believe that good engineering is what makes analytics possible; if you get satisfaction from turning raw, messy data into something clean and reliable; if you want to be the person the rest of the company depends on when they need to understand a metric or find the right dataset, we'd love to talk. Areas of ownership: Design, build, and maintain data transformations in dbt, including facts, dimensions, and data marts, that power self-service analytics across the company Own Rebtel's semantic layer: write and maintain LookML, manage Looker platform administration, and make sure the self-service experience is accurate, discoverable, and scalable Enforce data quality through rigorous testing, validation, and monitoring throughout the transformation layer Drive data documentation and literacy, making data easy to discover, understand, and use for both technical and non-technical audiences, including AI agents Optimize query performance and improve efficiency across our Snowflake data platform Partner with the Data Engineer on modeling standards, platform reliability, and end-to-end pipeline quality Work with stakeholders across the business to understand their data needs and turn them into reliable, well-structured data products Stay current with analytics engineering best practices and help shape how we build, govern, and evolve our data platform Requirements: You are an excellent communicator and collaborator. We work in English, but you will hear many languages in our Stockholm office 5+ years of experience in Analytics Engineering, Data Engineering, or a closely related role Strong SQL skills and hands-on production experience with dbt Experience owning a semantic layer, with LookML and Looker strongly preferred Solid understanding of dimensional modeling and analytics engineering best practices and architectures Familiarity with Snowflake or similar cloud data warehouses Experience with Git and CI/CD workflows Strong documentation and communication skills; you can explain data to both engineers and business stakeholders Why Rebtel? Rebtel has been connecting people across borders for nearly 20 years. Today, we’re profitable, growing, and at a pivotal moment in our journey. As we enter our next phase, we’re building an organisation designed for speed, ownership, and real impact, where every role contributes directly to shaping what comes next. This is a place with global ambition and a strong foundation, where ideas move quickly and decisions matter. You won’t get lost in layers of process or slow-moving structures. Instead, you’ll find the space to take ownership, collaborate across teams, and make meaningful contributions from day one. Based in Stockholm, we bring together a diverse, international team united by a shared purpose: to simplify the way people connect worldwide. At Rebtel, you are the most important asset and we strive to provide a comprehensive package of benefits and perks that enhance your well-being and work experience. Here are some of the things you can expect from us: Pension Plan Health Checkups, Influenza shots and Private Medical Insurance Dental Insurance Occupational insurance Wellness allowance (5,000 SEK) Discount on gym memberships Bonus program Extra parental pay 30 days annual vacation Monday breakfasts Relocation Support, if you're joining us from afar, we'll assist you in making a smooth transition. We are Rebtel. We come from all around the world to create products for anyone who has crossed a border. We believe in equal opportunity and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Öppen för alla Vi fokuserar på din kompetens, inte dina övriga förutsättningar. Vi är öppna för att anpassa rollen eller arbetsplatsen efter dina behov.

The opportunity As a Digital Design Capability Architect/Lead, you will play a key role in establishing and evolving Hitachi Energy's Digital Design Capability across engineering domains including CAD, Electronic Design, BIM, and related engineering tools. The role focuses on creating an integrated engineering ecosystem enabled by a strong digital thread connecting design tools, PLM platforms, engineering data, and downstream business processes. You will work closely with engineering teams, architects, product owners, and business stakeholders to define standards, improve engineering processes, establish reusable design frameworks, and drive adoption of modern digital engineering practices. You will help enable configurable and customizable product development while improving data quality, reuse, traceability, and collaboration across the product lifecycle. How You´ll Make an Impact Drive the implementation and continuous improvement of Digital Design capabilities across CAD, Electronic Design, BIM, and other engineering applications. Define, maintain, and promote engineering standards, templates, reusable libraries, and best practices that support scalable product development. Support the development of an integrated digital thread by improving data flow and interoperability between CAD systems, PLM platforms, and other enterprise applications. Collaborate with engineering, manufacturing, quality, and IT teams to improve engineering efficiency, increase design reuse, and reduce rework. Participate in defining solution architectures, governance models, support structures, and capability roadmaps for engineering digitalization initiatives. Contribute to pilot programs, proof-of-concepts, and global deployment activities that demonstrate business value and support long-term capability growth. Act as a trusted advisor to stakeholders by providing expertise in engineering processes, digital design tools, product structures, configuration management, and lifecycle management. Support training, change management, and adoption activities to ensure successful implementation of new ways of working. Your Background Bachelor's or Master's degree in Engineering, Computer Science, Information Technology, or a related discipline. Experience working with engineering applications such as CAD, PLM, Electronic Design, BIM, simulation, or related digital engineering platforms. Good understanding of product development processes, engineering data management, configuration management, and digital transformation initiatives. Experience with engineering integrations and digital thread concepts connecting design, engineering, manufacturing, and enterprise systems. Knowledge of PLM solutions such as Teamcenter or similar product lifecycle management platforms is highly desirable. Great analytical and problem-solving skills with the ability to translate business requirements into practical and scalable solutions. Excellent stakeholder management and communication skills with the ability to collaborate across global and cross-functional teams. Experience working in Agile, DevOps, or continuous improvement environments is considered an advantage. A passion for improving engineering efficiency through standardization, automation, innovation, and digitalization. More about us Collective agreement Flexible working time Health care and wellness allowance Fantastic career possibilities within Hitachi Energy both within Sweden and globally Mentor to support you throughout onboard phase Various trainings and education supporting employee development​ Diversified company with over 70+ nationalities working in Sweden Supplementary compensation for parental leave Employee Benefit Portal with discounts and perks Are you ready for a new exciting challenge? Does the above description sound like you? Welcome to apply now! Applications will be reviewed after summer vacations, but don’t delay – apply today!   Recruiting manager: Devendra Singh devendra.s.singh@hitachienergy.com will answer your questions about the position. Union representatives - Sveriges Ingenjörer:  Nawzad Rashid +46 (10) 7389148  Ledarna: Frank Hollstedt, +46 10 7387043;  Unionen: Karin Ulvemark +46 107-38 51 42. All other questions can be directed to Talent Acquisition Partner Kevin Galloway,  kevin.galloway@hitachienergy.com.

We’re looking for a Senior Data Engineer to join Apadmi and establish a high-performing data engineering capability for one of our key strategic healthcare accounts. In this senior, hands-on role, you will provide technical leadership across a specialist team of engineers working with cloud-based data infrastructure, business intelligence tooling, and client-facing analytics products. This is the perfect opportunity for someone technically deep who has the patience, credibility, and leadership skills to embed modern engineering discipline into a growing data function. You will sit at the intersection of technology delivery and data engineering, owning the data platform roadmap and governing the quality of all data outputs. Operating as an agile team leader, you will collaborate closely with operational, clinical, and commercial stakeholders to ensure the delivery of trusted, scalable, and beautifully documented data products. You'll be responsible for bringing software engineering rigour to a team expanding its technical maturity, establishing the right ways of working from the outset. As a Senior Data Engineer, you will define and own the data platform architecture while establishing team-wide standards across source control, environment management, peer reviews, and release processes. You will blend high-level strategy with hands-on automation, ensuring data quality checks are built-in from day one. Additionally, you will guide your squad through Agile sprint ceremonies and line-manage engineers to foster a culture of quality. What you'll be working on * Define and own the technical architecture of the cloud data platform, ingestion pipelines, and semantic reporting layer. * Establish and enforce core engineering standards, including Git-based source control, branching strategies, environment management, and peer code reviews. * Design scalable, maintainable data models and pipeline architectures that shift the function from reactive data handling to reusable data products. * Line-manage and mentor a team of three engineers, supporting their professional development in modern engineering discipline through collaborative working. * Drive the adoption of Agile methodologies, including sprint planning, stand-ups, retrospectives, and structured backlog refinement. * Proactively automate recurring workflows, forecasting processes, and ingestion monitoring to reduce manual effort and increase reliability. * Embed strict data quality checks at the point of ingestion and establish data dictionaries to secure strict metric governance before data reaches external audiences. * Translate complex business requirements into deliverable user stories, providing accurate effort estimates and managing technical dependencies. What you’ll bring to the team You are a solution-driven data leader who has spent time working within or alongside structured software development teams. You understand the rigour of technology delivery functions and possess a low tolerance for ambiguous data definitions. You are highly collaborative, capable of managing complex roadmaps, and excel at translating technical trade-offs into clear insights for non-technical stakeholders. * Proven experience in a senior data engineering or tech lead role with direct line management responsibility. * Strong hands-on experience with cloud data platforms, ideally utilizing Azure Data Factory, Azure SQL, or Synapse Analytics. * Demonstrable experience implementing CI/CD pipelines, automated testing, environment management, and Git practices within a data team. * Deep understanding of fact/dimension design, semantic layers, and advanced BI tool development (ideally Power BI and DAX). * Solid coding or scripting experience (ideally Python) used to automate data workflows and solve complex pipeline challenges. * Track record of introducing and sustaining agile delivery practices, backlog management, and iterative delivery metrics. * Exceptional communication skills to engage credibly with senior operational, clinical, and commercial business leaders. * Experience establishing data functions from a low baseline, familiarity with dbt, or experience working within highly regulated data environments like healthcare would be beneficial.

Professional Galaxy is an IT and technology consulting company that provides highly specialized expertise within IT, software development, SAP, purchasing, electronics and mechanical design. We collaborate with experienced senior experts and deliver strategic value-creating expertise to some of Sweden's most complex and analytically demanding projects. Our focus is always on high quality, professionalism and clear, measurable results. We are now seeking a Mechanical engineer - CAD visualization for one of our clients. About the assignment: We are looking for a candidate to support the preparation and transformation of CAD data into high-quality visualization data. The role focuses on material assignment, data cleaning, and quality assurance to ensure visualization-ready datasets. Create technical visualization images for internal use cases and prepare structured visualization data packages for downstream stakeholders. Work will be performed using tools such as Deltagen, CATIA V5, and Adobe Photoshop, and includes collaboration in a cross-functional project environment involving internal stakeholders, market representatives, and TRATON brands. Responsibilities: • Prepare CAD data for visualization (geometry clean-up, simplification, structuring) • Perform material assignment and scene setup for visualization • Ensure high data quality through validation and QA checks • Create technical visualization images for internal communication • Produce and deliver visualization data packages for other departments Collaborate with: • Product design & engineering • Industrial Design / Styling • Market & communication stakeholders • Work in tools such as Deltagen, CATIA V5 and Adobe Photoshop • Support continuous improvement of visualization workflows and data standards Education, Must Have: • Engineering degree or equivalent within: • Mechanical Engineering • Product Development • Industrial Design Engineering Education, Nice To Have: Specialization or coursework in: • Visualization / Rendering • Surface modelling or styling • Digital product presentation Experience, Must Have: • Experience working in 3D CAD environments (preferably CATIA V5) • Experience handling complex CAD assemblies and product structures • Experience from automotive or commercial vehicle development • Understanding of: • Product development processes • Cross-functional collaboration (design–engineering–production) Experience, Nice To Have: • Experience in visualization / rendering workflows • e.g. Deltagen, VRED, Blender or similar • Experience in image creation / post-processing (Photoshop, Illustrator) • Experience working close to: • Industrial Design / Styling • Studio Engineering • Knowledge of material definition and visual quality control • Experience from Scania or similar organization • Knowledge of additional tools: • Alias, Rhino or other surface modelling tools (meriterande) Language • English – fluent (required) • Swedish – meritorious Personal / Soft Skills • Self-driven and proactive • Strong communication skills in cross-functional teams • Ability to translate technical data into visual outputs • Structured and quality-focused mindset • Curious and willing to learn new tools (e.g. Deltagen) • Comfortable working in project-based environments with multiple stakeholders Full-time. Hybrid, 3-5 days/week on-site. The selection of candidates is done continuously. Good opportunities for an extension off the assignment Are you the right person for the assignment, or do you want to recommend a strong candidate? Do not hesitate to contact us. Please apply directly through our system with: - Your updated CV in english - Availability to start the assignment In the motivation, describe why you are suitable for this assignment - refer to previous consulting assignments, employmxent, education and personal qualities. Please note: We do not accept any applications through mail. All applications have to be sent through the portal to be valid. Offer continuously: Please note that for this role we offer continuously. That means that we sometimes remove the assignments before the deadline. If you are interested, we recommend that you apply immediately.

Ready to build something from the ground up? Join Cibes Lift Group and shape how a global company works with data. As our first Data Engineer, you'll create the foundation for data and AI - turning complexity into clarity and ideas into real business value. In a collaborative environment, your work will matter from day one. About Cibes Lift Group Cibes Lift Group is a global leader in low-rise lifts, with operations in Europe, North America, and Asia. We combine global reach with local expertise and continue to grow through innovation, strong partnerships, and a clear focus on quality and customer value. At Cibes Lift Group, we are on an exciting journey. As a global leader in low-rise lifts, we are now building our Data & Analytics capability from the ground up, and we are looking for the very first Data Engineer to make it happen. This is a unique opportunity to step into a role where you won't just improve something that already exists, you'll create the foundation that everything else will be built on. If you're someone who enjoys taking ownership, shaping direction, and turning ideas into reality, this role gives you exactly that. Location: You can work from the office or remotely. Our headquarters are located in Gävle, Sweden. Other possible base locations in Europe include Germany (Berlin), the United Kingdom (Leicester), Norway (Bergen), Finland (Turku), and Spain (Madrid). The role includes occasional international travel. What you will do As our Data Engineer, you will play a key role in shaping how we work with data across the entire company. You'll work closely with the Domain Manager and Global IT Director to turn today's fragmented data landscape into something structured, scalable, and trusted. You will: - Build the data foundation on Microsoft Fabric, pipelines, data models, and core data layers that bring data into one place - Turn raw and scattered data into something reliable, structured, and ready to use - Define practical standards for data quality, access, and governance, simple at first, scalable over time - Enable analytics and AI by making sure the right data is available in tools like Power BI and beyond - Document what you build and help shape how a future Data & Analytics team will work In short: you'll go from a blank page to a real, working foundation that the entire business can rely on. Who you are We believe you are someone who enjoys building, improving, and making things work in practice - not just on paper. You likely have: - Experience as a Data Engineer, building pipelines, data models and platforms - Familiarity with the Microsoft data ecosystem (Fabric, Azure Data Factory, Power BI is a strong plus) - A good understanding of how data supports analytics and AI (hands-on experience is a bonus, not a must) - A pragmatic, "builder" mindset - you get things done, learn, and improve along the way - The ability to work in an environment where not everything is defined yet - A collaborative and communicative way of working - you make complex things easy to understand. Whether you're looking to take the next step as a junior, or want more ownership as a mid-level engineer, we're focused on finding the right fit. Why join Cibes? Because here, you get the chance to build something that truly matters. - Be the first Data Engineer and shape how we work with data and AI globally - Work in a down-to-earth, collaborative environment with experienced colleagues across regions - Have real impact from day one - your work will be used and visible across the business - Help build the team and set the direction for what comes next. Enjoy working from the office or remotely within Europe, with a global organisation headquartered in Sweden Ready to build something from the start? We look forward to hearing from you. Application To be considered for this role, you must have a permanent right to work and reside in Sweden. Verification of work authorization will be required during the interview process. You apply for the position by clicking "ANSÖK NU" in the job advertisement. Due to GDPR, we do not accept applications via email. Please submit your CV and briefly describe your relevant experience and motivation for the role in a cover letter. Apply as soon as possible, but no later than 2026-08-09. This recruitment process is conducted in collaboration with Jefferson Wells, and you will be employed directly by Cibes Lift Group. For more information, please contact: Marjo Carlson, 070 377 06 64, marjo.carlson@jeffersonwells.se

Role Overview We are seeking a visionary and technically proficient IT Strategy and Data Engineer to bridge the gap between our business objectives and our technical data capabilities. You will design, build, and optimize robust data pipelines and architectures, while concurrently architecting long-term IT and data strategies that drive company growth. Key Responsibilities Data Engineering & Architecture Pipeline Development: Design, construct, and maintain scalable data pipelines and API integrations for complex, high-volume datasets. ETL/ELT Workflows: Build and manage data warehousing solutions using automated Extract, Transform, Load (ETL) frameworks. Data Governance & Quality: Implement data quality assurance frameworks and enforce data security and privacy compliance standards. Database Management: Optimize database performance (e.g., query optimization, indexing, partitioning) to ensure efficient data availability. [1, 2, 3, 4, 5, 6, 7] IT & Data Strategy Strategic Planning: Collaborate with executive leadership and cross-functional teams to shape the long-term data platform and enterprise architecture roadmap. [1] Vendor & Tool Evaluation: Research, evaluate, and recommend open-source technologies, third-party vendor tools, and cloud platforms (e.g., AWS, GCP, Azure). [1, 2] Business Alignment: Translate high-level business requirements into technical solutions and establish metrics to measure the strategic impact of new data solutions. [1, 2] Cross-Functional Leadership: Partner with Data Analysts and Data Scientists to design data models that empower business intelligence (BI)