
Gears of Leo AB · Stockholm
ABOUT THE ROLE As a Product Analytics Engineer, you will be the vital link between raw data and actionable product insights. Your mission is to establish the ...
As a Product Analytics Engineer, you will be the vital link between raw data and actionable product insights. Your mission is to establish the data infrastructure and tracking setup for all markets, but with a focus for unique expansion into the Brazil market Working within a team of 4 in Stockholm, you will ensure all data is compliant, governed, and of the highest quality before it reaches our analysts.
You will play a key role in implementing robust tracking processes, such as Mixpanel, while collaborating closely with Developers and Product Managers to ensure our technical depth matches our business ambitions. This is a role designed for an initiator who can manage many moving parts in an agile environment.
Setting up the data infrastructure and tracking for the Brazil market.
Implementing and managing tracking tools, specifically Mixpanel.
Giving clear instructions to developers on how to track user actions in React and front-end code.
Checking that all data is accurate and follows our quality standards.
Creating and updating a clear list of all tracked events so everyone understands the data.
Ensuring all data collection follows company rules and data laws.
Working with marketing and product teams to help them get the data they need.
Professional Experience: Minimum of 3+ years of experience in a Product Analytics Engineering role or similar
Web Analytics & Tracking: Strong experience in digital data collection and event-based tracking, including hands-on work with Google Tag Manager (GTM & sGTM).
Technical Foundations: Solid understanding of JavaScript, browser behavior, cookies, client-side & server-side tracking, with ability to debug and validate implementations.
Collaboration & Communication: Experience working closely with developers and product teams, and ability to clearly explain technical concepts to both technical and non-technical stakeholders.
Problem Solving: Ability to investigate data issues, validate tracking setups, and ensure data quality across implementations.
Experience with Mixpanel or event-based product analytics tools.
Experience with mobile tracking concepts (SDKs, app events, React Native environments).
Experience working with BigQuery and understanding data pipelines.
At the core of LeoVegas Group is Team Leo. Our culture is our foundation and is what enables us to innovate, build, and lead as we trailblaze our way through the igaming industry. We’re a team of over 2000 innovators, initiators, and groundbreakers working in a fast-paced and agile environment across 19 offices worldwide.
Hybrid work policy
4 weeks of Workation (T&C apply)
30 annual vacation days
Occupational Pension
5,000 SEK wellness contribution annually
Parental Leave Top-Up
Possibility to enrol in a private health care insurance for both you and your partner
1,500 SEK equipment allowance
Benify - benefits portal with many offers and discounts
In our pride, we empower our teammates to find their roar and run with their wildest ideas. We don’t wait for things to happen; we pounce and make it happen!
Would you be a good fit for the Leo Pride - give us a roar!
About Us Legora is redefining how legal work gets done. Not built for lawyers, built with them. We work alongside the world’s best legal teams, who expect excellence, precision, and speed, and we hold ourselves to the same bar. Our AI-native workspace lets legal professionals move faster, think more clearly, and operate with sharper precision. By analysing thousands of documents in minutes and powering end-to-end workflows, we cut through complexity, teams can focus on what matters: judgment, strategy, and outcomes. 1,000+ customers across 50+ countries trust us, including Cleary Gottlieb, Goodwin, Linklaters, White & Case, Dentons, and Barclays. We’ve scaled to $100M+ in ARR, with teams across Europe, North America and APAC, and continue to expand through acquisitions including Qura, Walter AI and Graceview. We partner with world-class performers: including Aaron Judge and the New York Yankees, Ludvig Åberg (and his caddie), and campaigns featuring Jude Law. Joining Legora means three things. We lean in: ownership over titles, outcomes over intentions. We fight for excellence: high standards, direct, ego-free feedback. We grow together: as a team and with our customers. Mission before ego. Everyone contributes. No one coasts. If you’re driven by impact, pace, and raising the bar. This is the place. The role As a Data Scientist at Legora you will turn data into decisions. You'll sit close to the business, taking questions end-to-end: shaping the metric, modelling the data in dbt, running the analysis, and making the recommendation. You'll pull in new data sources when you need to, but the underlying instrumentation and platform belong to our data engineering team. Insights are useful; impact is what we hire for. We're an AI-first data team. We believe the data function should be redesigned around what AI now makes possible, not retrofitted with it, and we want someone excited to help define what that looks like in practice. There's no single profile we hire for. Some of us are strongest at data modelling and analytics engineering, some at experimentation and causal inference, some at machine learning, some at stakeholder influence. You'll likely be excellent at one or two of these and competent across the rest. That's the bar. We're a small, centralised team supporting the whole company, hiring for the person, not the seat. Depending on your strengths and where we have the biggest gap when you join, you could be embedded primarily with: Product: instrumentation, feature adoption, user behaviour, A/B testing, shaping the roadmap with PMs and designers. Finance & RevOps: ARR, NRR, forecasting, board reporting, pricing analytics across a 40-country footprint, and unit economics for an AI-native product. Growth & Marketing: acquisition funnels, attribution, campaign measurement, lifecycle analytics, and what actually moves enterprise legal buyers. GTM & Customer Success: pipeline analytics, customer health, expansion signals, and retention drivers in a category that didn't exist three years ago. You'll partner directly with leaders across Product, Engineering, Finance, and GTM, most of whom are unusually data-fluent and will happily open a SQL editor with you. Your work will directly influence how we prioritise, how we sell, how we price, and how we build. What you will be doing Partner with stakeholders across Product, Finance, GTM, Growth, and beyond to translate ambiguous questions into structured analyses and clear recommendations. Define the metrics that matter, design the experiments or analyses that test them, and measure the impact of what we ship. Conduct deep-dive analyses on the questions that move the business, and proactively surface the questions nobody is asking yet. Model the data you need for your work in dbt, pulling in new sources when necessary, and partner closely with data engineering on anything that needs to scale beyond your immediate use case. Build dashboards and reporting that scale beyond you, so the company can answer its own questions where possible. Help shape how the data team operates as we scale: standards, tooling, ways of working. What you'll need Strong proficiency in SQL and Python. Solid grasp of data modelling and what it takes to build analytical work that is reliable and trusted. Excellent communication skills and the confidence to influence decisions through data storytelling, including pushing back when the data doesn't support what someone wants to do. Genuine depth in at least one of the following, with competence across the rest and curiosity to grow: Data modelling and analytics engineering (dbt, dimensional modelling, semantic layers, self-service) Experimentation and causal inference (A/B test design, quasi-experiments, statistical rigour) Machine learning and applied data science (forecasting, prediction, segmentation, evaluation) Product analytics and metric design (funnels, cohorts, adoption frameworks, North Star metrics) Nice to have Experience in a product-led or SaaS environment, ideally B2B. Hands-on experience with our stack: Snowflake, dbt, Hex, Dagster. Prior experience as an early data hire at a fast-growing company, i.e. you've built the muscle, not inherited it. Most importantly, you are someone who "Gets stuff done" and understands building a $10bn company isn't always glamorous and takes hard work and long hours. Thrives in a fast-paced environment where the answers aren't always clear and processes are few. Is genuinely domain-curious. You don't need to have worked on every part of a business, but you should be excited to. Legora is an Equal Opportunity Employer At Legora, we believe great teams are built on diversity of thought and experience. We’re proud to be an equal opportunity employer and committed to creating an inclusive, high-performance culture where everyone can do their best work. We welcome people of all backgrounds and don’t discriminate based on race, color, religion, national origin, gender, gender identity or expression, sexual orientation, age, disability, veteran status, or any other characteristic protected by law.
At Voyado, hundreds of retailers rely on dashboards, exports and shared analytics experiences to understand their business and make decisions. Behind every metric, dashboard and export sits a series of product decisions: what should be measured, how it should be defined, and how it should work consistently across customers, markets and products. We’re now looking for Data Analysts to join Team Intelligence in Stockholm and help shape the analytics products our customers will rely on for years to come. ABOUT THE ROLE As a Data Analyst in Team Intelligence, you will work with analytics products that scale across Voyado’s product portfolio. You will help harmonise how data, KPIs and analytics surfaces work across products such as dashboards, BI Export and DeltaShare. Your focus will be on building analytics experiences that are accurate, consistent and useful for many customers — not creating one-off reports for individual stakeholders. You’ll work closely with Product Managers, Analytics Engineers and domain teams to understand customer needs, investigate data discrepancies, define shared metrics and contribute to the broader product roadmap for analytics across Voyado. WHO YOU ARE You have a product mindset and see dashboards, metrics and analytics experiences as products that need ownership and continuous improvement. You’re comfortable working closely with Product Managers, engineers and other stakeholders, and you enjoy creating clarity where definitions, data or expectations differ. You’re curious, analytical and enjoy understanding how data works beneath the surface. When numbers don’t add up, you want to find out why. Most importantly, you care about building analytics that people can trust. We'd love to see that you also have: * Experience working as a Data Analyst, BI Analyst or in a similar analytics-focused role. * Strong SQL skills. * Experience with BI tools such as Sigma, Looker, Tableau, Power BI or similar. * Experience owning dashboards, reports or data products over time. * Ability to translate business and customer questions into clear data requirements. * Strong communication skills and experience working with multiple stakeholders. HIGH IMPACT. GREAT PEOPLE. REAL GROWTH. You’ll join a company with strong momentum, modern technology, and a collaborative culture where ideas and initiatives are encouraged. At Voyado, we care about creating an environment where people can grow, collaborate, and enjoy the journey together. We move quickly, challenge ideas, and work closely across teams to deliver meaningful impact. Some of our benefits: * 30 days of vacation * Wellness allowance * Personal development opportunities * Summits and team activities Four days from the office and one day from home About Voyado Voyado is the Agentic Customer Experience Suite for retail. More than 500 retail brands across 100 markets use Voyado to unite CRM, loyalty, product discovery, e-commerce personalization, and retail media with retail-trained AI that acts on real-time shopper intent. By combining customer data with product intelligence, Voyado helps retailers deliver more relevant experiences across every channel — online and in-store. The result is more traffic, higher conversions, stronger customer relationships, and measurable business impact. We’re growing across Europe and are looking for people who want to help shape the future of retail technology. READY TO MAKE AN IMPACT? Fantastic! 🎉 A quick note about our recruitment timeline: As many of us will be taking some well-deserved summer vacation, this process will move a bit slower than usual. We’d still love to hear from you as soon as possible! Thank you for your understanding, and we hope you’ll apply! 🌞 ADDITIONAL INFORMATION As part of our recruitment process, we conduct a background check on the final candidate. MAKING IT PERSONAL WITH AI We believe you’ll position yourself best for success in the interview process by being yourself, with support from AI where it makes sense. Later in the process, you may even be expected to use AI. At the end of the day, what matters is meeting you — the person behind the application. There is no such thing as a perfect candidate; we’re all human, so please bring your authentic self. Don’t let AI over-polish your CV or answers to the point where we can’t hear your real voice, because that’s what we care about most.
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.