Staff Product Data Analyst at Super Technologies

, , Spain -

Full Time

Start Date

Immediate

Expiry Date

05 Apr, 26

Salary

0.0

Posted On

05 Jan, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

SQL, Data Analysis, Statistical Methods, Machine Learning, Data Storytelling, Commercial Acumen, Product Acumen, A/B Testing, Causal Inference, Dashboard Development, Collaboration, Problem Solving, Data Visualization, Insight Communication, Analytical Rigor, Data-Driven Decision Making

Industry

IT Services and IT Consulting

Description

It’s an exciting time to join us! We’re entering new markets, developing new technologies, and moving step by step towards our goal of exciting the world. As our business grows, the number of exciting people initiatives grows with it, and we’re looking for a new colleague to partner with our team to bring these to life. The Role At Super, data isn’t a support function, it’s at the heart of every major decision we make. As an Staff Product Analyst, you’ll operate at the intersection of product, commercial, and marketing strategy. Your analyses won’t sit in slide decks; they’ll directly shape how millions of customers engage with our products. This is a role for very special kind of analyst: who love hard problems, thrive in ambiguity, and get energized by moving from messy data to clear insights that drive strategy. You’ll be expected to not just report what happened, but uncovering why, anticipating what’s next, and influencing what we should do about it. What You’ll Do Be the Decision Engine: Run deep-dive analyses into customer behavior, product usage, and commercial performance. Go beyond surface-level metrics to uncover the drivers behind the phenomenon. Shape Strategy with Data: Influence product roadmaps, commercial tactics, and marketing strategies by framing the right questions, running experiments (A/B testing, causal inference etc.), and delivering insights that change the course of decisions. Automate Intelligence: Build scalable dashboards, reporting systems, and data tools that enable teams across Super to make smarter, faster, data-driven decisions. Partner Across the Business: Collaborate with Product Managers, Commercial leaders, Engineers, Designers, and Marketers. You won’t just answer questions, you’ll help define them, challenge assumptions, and bring analytical rigor to high-stakes discussions. Tackle Ambiguity: Super moves fast. The questions won’t always be clear. You’ll be the one who can bring structure to chaos, translating broad business challenges into sharp, analytical problems. What We’re Looking For Technical Mastery: SQL fluency (we use Snowflake) is a non-negotiable (but, we are open if you can make data talk through other languages!). You should be equally comfortable working with complex data as you are doing deep inquiry through statistical/ML methods and bringing them to life in dashboards (we use Tableau). Data Storytelling: You excel at transforming complex analyses into clear, compelling narratives. You can communicate insights effectively to both technical and non-technical stakeholders, making data accessible and actionable for decision-making. Commercial & Product Acumen: You don’t just crunch numbers; you understand how data connects to business outcomes, product design, and customer behavior. Bias for Impact: You care less about perfect models and more about driving measurable change. Your analyses are only successful if they move the needle. Proven Track Record: Previous experience in analytics and/or product data science roles (ideally in product or commercial domains) where you’ve directly influenced strategy and growth. Education: Degree in Data Science, Statistics, Economics, Computer Science/Engg., Mathematics, or a related quantitative field OR equivalent work experience. Years of Experience: We are hiring for roles with at least 2+ years of relevant experience. Why Join Us? High Impact Your datasets will be used daily by teams making product decisions, running experiments, and driving performance. Real Scale, Real Problems Handle serious data volumes. We’re talking millions of events per day, multiple sources, and zero fluff. Freedom to Shape Influence our data architecture, tooling, and best practices. You're not just implementing—you’re building. Solid Benefits Competitive compensation & performance-based bonuses Open vacation policy & hybrid work flexibility Health support, wellness perks & team social budget About us We are a global technology company dedicated to building the future of entertainment and fan-centric experiences. With commercial markets in Brazil, Belgium, Poland, Romania, and Serbia, our company has evolved from a leading sports betting and gaming operator into a diversified product and tech organization, gathering more than 5,000 dedicated people across our teams. Shaping the future of play At Super, we are creating a unique entertainment ecosystem engaging millions of customers worldwide. Our product and technology teams in Amsterdam (the Netherlands), Madrid (Spain), Zagreb (Croatia), London (UK), and Bucharest (Romania) are building the playstack that will champion the future of play. Our ambitious growth strategy focuses on expanding across Europe and Latin America while delivering immersive customer experiences and creating lasting value for our customers, partners, and communities. Global recognition and standards The company’s long-term strategy is supported by world-class investors. In 2019, Blackstone, the world’s largest alternative asset manager, made a strategic minority investment of €175 million. In 2025, we strengthened our financial position through a €1.3 billion refinancing agreement, reinforcing our partnership with Blackstone and enabling accelerated global expansion. Super is committed to the highest standards of compliance, safety, and responsibility. As such, we are active members of the International Betting Integrity Association (IBIA) and the European Gaming & Betting Association (EGBA).

Responsibilities

The Staff Product Data Analyst will conduct deep-dive analyses into customer behavior and product usage, influencing product roadmaps and marketing strategies. They will also build scalable dashboards and collaborate across teams to drive data-driven decisions.