
Crexi · Playa Vista
ABOUT CREXI Crexi is reimagining commercial real estate with an AI-powered platform built to deliver smarter, more efficient solutions at every stage of the de...
Crexi is reimagining commercial real estate with an AI-powered platform built to deliver smarter, more efficient solutions at
every stage of the deal lifecycle. From real-time data and market insights generated by Crexi Intelligence, to targeted property
marketing and seamless deal management through Crexi PRO, and a transparent, time-bound bidding experience with Crexi Auction—
Crexi enables users to evaluate opportunities, maximize exposure, and close with speed and confidence. To date, Crexi has
facilitated over $1 trillion in transactions, 8.6 billion square feet leased, and supports a growing community of more than 2
million monthly active users.
Crexi’s mission is to catalyze the next generation of commercial real estate through three core pillars: Access, Innovation, and
Connection. Crexi’s platform democratizes CRE by providing unprecedented access to market insights and opportunities, accelerates
CRE dealmaking with purpose-built technology that enhances speed and transparency; and empowers CRE professionals with a
centralized platform designed for real-time collaboration and success.
The Analytics Engineer owns the data models, KPI definitions, and trusted datasets that power decisions across the company. This
role sits on the Internal Data Products team and is responsible for translating business logic into well-tested,
version-controlled dbt models in Snowflake. You will work closely with Product, Sales, Finance, and Marketing to define what we
measure, how we measure it, and ensure the data is reliable enough for stakeholders to act on without asking questions.
What You’ll Do
single source of truth for business metrics.
tests that inform product decisions.
reference.
governed data.
validation, and natural-language interfaces to warehouse data.
Who You Are
experience with dbt (Core or Cloud), including writing models, tests, and documentation.
Amplitude) and event-based data.
Why Crexi?
The California base pay range for this position is $123,000 to $160,000 per year with eligibility for generous commissions,
equity, and healthcare insurance. The total compensation package offered to a successful candidate will depend on several
factors, which may include, but are not limited to, the type and length of experience applicable to the role and within the
industry, job-related skills, job level, and geographic location. Commercial Real Estate Exchange, Inc (“Crexi”) is a multi-state
employer, and this salary range may not reflect positions that work in other states.
Crexi is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion,
sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Crexi will also consider for
employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.
Analytics Engineer We are looking for a talented Analytics Engineer to join our Data Mission, where you’ll transform data into valuable insights that enhance user experiences and empower our analyst community while encouraging best data modelling practices. Using a cutting-edge tech stack including dbt, Databricks, and Kafka, you'll define the standards that the team works to and build the data products that power decisions for millions of users. We are proud to say that our engineers at ClearScore are world class and at the heart of making this mission a reality. For more information on our tech stack check out our 2026 Tech Radar [https://medium.com/@klausthorup/clearscore-technology-radar-2026-53ff556116e5], how we work is summarised in our Engineering Principles [https://medium.com/clearscore/clearscore-engineering-principles-14237efe4910] and we have many other Tech Blogs on Medium [https://medium.com/clearscore] What you will be doing: * Collaborating with teams across our business to design and build data products that directly support our 26 million users to make more empowered financial decisions, serving the operational platform and CRM * As part of an engineering team, building high quality and reliable data pipelines. * Upholding best practice standards across our data, from data modelling conventions and dbt patterns to testing, documentation, and observability * Solving business problems creatively and automating day-to-day processes * Taking technical ownership of data initiatives, leading delivery end-to-end across multiple components, stakeholders, and delivery phases * Investigating, communicating and resolving data related incidents with the team Skills we'd love you to have * You not only have the technical expertise but are also able to understand and deliver on business requirements and analysts needs * You are experienced in SQL and dbt, and you apply this to design and build robust, scalable data transformations on platforms like Databricks * You have strong communication skills, and the ability to explain technical solutions to non-technical stakeholders * You have experience diagnosing and resolving production issues, and you design pipelines with testing, monitoring, and maintainability in mind * You have experience with orchestration tooling (e.g. Databricks Workflows) * You write clear and effective documentation * Familiarity with data activation tools (e.g. Hightouch) or streaming platforms (e.g. Kafka) is a bonus * Showing genuine curiosity about the many ways in which our data is used to impact our business and our users Why ClearScore? ClearScore is the UK's #1 credit score and report app. We are also present in South Africa, Australia and Canada, with more than 20 million users globally and growing fast. Someone joins ClearScore every 20 seconds. We have established relationships with over 50 of the main lenders in the U.K., and have been a trusted tool for customers to manage their credit and make better financial decisions. Since October 2016 we have helped 1.8 million users take out a new credit card or loan. We are user-centric at our core and we believe in leveraging technology to enable positive financial choices. We are design-led and data-driven and we embed these behaviours in everything we do. Our company culture is a fundamental part of all we have achieved. We believe in hiring smart, driven, passionate and diverse people who are keen on having a real impact in our organisation. We trust you to manage your own time so we offer flexible work and no fixed desk hours. We don't micromanage and we believe in measuring outcomes rather than effort. We have an inclusive culture where all, regardless of seniority, are encouraged to contribute with their ideas, look after their wellbeing and actively seek opportunities for career growth. If you feel like this could be the place for you, apply and our Talent team will be happy to share more. Benefits: * 25 paid holidays and a “duvet day” on your birthday * Hybrid Work Environment * Private health and dental cover - including mental health support through Bupa * GP office visits * Life assurance scheme * Up to 6% matched pension * Regular Lunch and Learns with guest speakers * Dog-friendly office * Daily breakfast and free snacks * Access to discounts via Cobens Extras * Free sports and social clubs * Continued investment into learning and development * Leadership-led training * In-house psychotherapist * Financial coach to help you plan and achieve your goals * No clock-watching culture * Generous maternity and paternity plans * Culture and inclusion representatives * Transparent pay structure and a career growth plan Equal Opportunities ClearScore is committed to providing equal employment opportunities to all qualified individuals. As an equal opportunity employer, we are able to make reasonable adjustments to accommodate individuals with disabilities during the recruitment and selection process. If you require accommodation, please inform us in advance, and we will work with you to meet your needs. Our Hybrid Model We embrace a dynamic hybrid work environment that balances flexibility with collaborative in-person experiences. Our approach is designed to foster innovation, team connection, and individual productivity. * Levels 1-5: Minimum 2 days per week in-office * Level 6 and above: Minimum 3 days per week in-office We believe this structure offers the best of both worlds - the flexibility of remote work and the synergy of face-to-face collaboration. Our office days are carefully coordinated to maximise team interactions and learning/ mentorship opportunities. What This Means for You: * Flexibility to manage your work and life * Dedicated in-office days for team building and collaborative projects * Office facilities (with plants!) designed for productive interactions * Clear expectations and support for maintaining our hybrid schedule We’re committed to creating an inclusive environment that accommodates diverse needs while maintaining our collaborative culture. Join us in shaping the future of work! Note: While we offer flexibility, commitment to our hybrid schedule is an important aspect of our team culture and performance expectations. Inclusion Policy We are always looking for talented individuals to join ClearScore. We are an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for our people. Please see our People Policy Notice at https://www.clearscore.com/people-notice [https://www.clearscore.com/people-notice].
TL;DR - We are looking for analytics engineers to own the semantic and modeling layer of our warehouse by transforming raw data into well-defined, trustworthy datasets and metrics. You are obsessed with analytical consistency, designing impactful metrics, and building strong foundations for self-service analytics. Why Lovable? Lovable lets anyone and everyone build software with plain English. From solopreneurs to Fortune 100 teams, millions of people use Lovable to transform raw ideas into real products - fast. We are at the forefront of a foundational shift in software creation, which means you have an unprecedented opportunity to change the way the digital world works. Over 2 million people in 200+ countries already use Lovable to launch businesses, automate work, and bring their ideas to life. And we’re just getting started. We’re a small, talent-dense team building a generation-defining company from Stockholm. We value extreme ownership, high velocity and low-ego collaboration. We seek out people who care deeply, ship fast, and are eager to make a dent in the world. What we are looking for: Expertise with SQL, dbt, SQLMesh or similar tools (data modeling, testing, macros, docs) Experience with data warehousing concepts, cloud warehouses (Snowflake, BigQuery, Redshift, Databricks) and BI tools (Looker, Tableau, Power BI, Hex, Metabase, etc) Understanding of dimensional modeling, data contracts, and metrics/semantical layers Familiarity with modern ELT and orchestration workflows (Airflow, Dagster, Prefect, etc) Strong business acumen and ability to translate domain logic into scalable data structures What you will do: Build and maintain data models, following modular, tested, and version-controlled practices Partner with domain teams to understand business logic and codify it into reusable models and metrics Define and document key metrics and data contracts across domains Collaborate with Data Platform Engineers to optimize query performance and warehouse cost Automate and maintain data documentation, lineage, and governance standards Develop guidelines for analytics development, data modeling and structure conventions Our tech stack We're building with tools that both humans and AI love: Frontend: React Backend: Golang and Rust Cloud: Cloudflare, GCP, AWS, Many LLM providers DevOps & Tooling: Github Actions, Grafana, OTEL, infrastructure-as-code (Terraform) And always on the lookout for what's next! How we hire Fill in a short form then jump on an intro call with recruiter. Complete the general programming exercise. Show us how you approach problems during several technical interviews. Tell us about your most impressive project. About your application Please submit your application in English - it’s our company language so you’ll be speaking lots of it if you join We treat all candidates equally - if you’re interested please apply through our careers portal
Are you a skilled Analytics Engineer with a passion for transforming raw data into high-quality, actionable insights? Join Sweden's largest property portal to design the data solutions that power our business decisions. As the most popular real estate portal in Sweden, Hemnet receives over 40 million visits every month from people looking for their next home. We are a data-heavy organization, and we strive to make data-informed decisions the standard for everything we do. About the role 🍏 As an Analytics Engineer, you will be a key player in our journey to empower the organization to become more data-driven. Sitting within the Analytics team, you will act as a vital bridge between raw data and meaningful business logic. Because this role connects technical infrastructure with business needs, strong communication is essential. By focusing on the "back end" of business intelligence to ensure our data is clean, reliable, and well-modeled, you will play a crucial part in helping Hemnet continuously improve and become better for everyone. What you’ll do 💥 * Build and develop data models, taking responsibility for structuring the data that forms the foundation for analysis, reporting, and future AI solutions. * Conduct analysis and ad-hoc explorations to answer complex business questions, helping stakeholders across Hemnet turn raw data into insights. * Improve our self-service capabilities, enabling more colleagues to find answers independently through robust data architecture. * Occasionally support the development of essential reports and dashboards to ensure data is visualized effectively. Who we think you are 🤩 In order to be successful in this role we believe that you have an educational background with a strong technical focus and a few years of experience working as an Analytics Engineer, Data Analyst or Business Intelligence Developer. As a bridge between technical and business teams, you excel at tailoring your communication and insights for everyone from Sales and Business Development to the leadership group. * Strong SQL and sound judgement in data modelling. * Professional experience with dbt. * Passionate about using your data models to solve real-world business problems alongside your stakeholders. * Experience partnering across departments and strong business acumen. * Excellent written and verbal communication skills in English and Swedish. * Bonus if you have experience in: - Tableau - A semantic or metrics layer - AI-powered self service analytics - Python I am your new manager 👋 My name is Thomas Hanusek. I joined Hemnet about four years ago. Prior to that, I drove analytics for more than 20 years across different companies. My passion at work is really about seeing how Data & analytics can drive product and business development in the best way possible. As a leader, I am a huge fan of seeing how a team can come together and, through their different skills, create magic. My aim is to be supportive and humble, and to create an environment where you feel trusted, challenged, and empowered to grow. A Note on Inclusion 💚 At Hemnet, we believe that diversity in gender, sexual orientation, ability, neurodiversity, cultural background and life experience makes us stronger. We welcome applicants of all identities and backgrounds. If you meet many but not all of the requirements, we encourage you to apply. We value curiosity, a strong sense of purpose and the motivation to learn and grow, alongside your skills and experiences. An Office-First Culture 🙏 Our office in central Stockholm is the true hub of our company culture. We are proudly an office-first team because we deeply value face-to-face collaboration and believe our best work happens when we are together. While we understand the need for occasional flexibility, we strongly prioritize in-person teamwork over remote work. Because our office is the center of our daily operations, it is essential that you are based in or near Stockholm. Please note that we're unable to provide relocation assistance for this opportunity.