Senior Product Data Analyst, CRM

Overview Senior Product Data Analyst, CRM at Happening. At Superbet, data isn't a support function, it's at the heart of every major decision we make. As an 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 a very special kind of analyst who loves hard problems, thrives in ambiguity, and is energized by moving from messy data to clear insights that drive strategy. You'll be expected to not just report what happened, but uncover why, anticipate what's next, and influence 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 Superbet 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 : Superbet 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 (Snowflake) is a non-negotiable, with openness to other languages. Comfortable with complex data and bringing analyses to life in dashboards (Tableau).

Data Storytelling : Clear, compelling narratives and effective communication to both technical and non-technical stakeholders.

Commercial & Product Acumen : Understanding of how data connects to business outcomes, product design, and customer behavior.

Bias for Impact : Focus on driving measurable change; analyses are successful if they move the needle.

Proven Track Record : Experience in analytics and / or product data science roles influencing strategy and growth.

Education : Degree in Data Science, Statistics, Economics, Computer Science / Engg., Mathematics, or related field or equivalent work experience.

Years of Experience : At least 2+ years of relevant experience.

Seniority level Mid-Senior level

Employment type Full-time

Job function Information Technology

Industries Technology, Information and Internet

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