Data Analyst

We’re looking for a Data Analyst to join our Business Operations Analytics team and turn complex product, marketing, and operational data into clear, actionable insights that drive smarter business decisions.

You’ll play a key role in analyzing user behavior, evaluating product and marketing performance, evaluating experiments, and providing cross-functional teams with data-backed recommendations to optimize growth and user retention.

What you’ll do:

• Analyze complex datasets to identify trends, user behavior patterns, and growth opportunities across our mobile subscription portfolio.
• Collaborate with cross-functional stakeholders (Product, Marketing, Finance) to formulate business hypotheses, answer ad-hoc analytical questions, and translate raw data into strategic recommendations.
• Design, evaluate, and interpret A/B tests and product experiments to drive data-informed feature and campaign optimizations.
• Define, align, and track core business and product KPIs across teams to ensure unified decision-making.
• Build automated reports and clean analytical data structures to support self-serve analytics and operational visibility.

Requirements:

• 2+ years of experience in a Data Analyst, Product Analyst, or Business Analyst role.
• Advanced SQL skills for data extraction, manipulation, and complex aggregations.
• Experience in statistical analysis, data processing, and exploratory analysis.
• Solid understanding of subscription-based mobile app metrics (LTV, CAC, Retention, Churn, ARPU, ROAS).
• Hands-on experience with A/B testing methodology, hypothesis testing, and statistical significance.
• Strong analytical storytelling skills — ability to synthesize technical data into clear visual insights and present recommendations to non-technical stakeholders.
• Proactive mindset with a curiosity to dive deep into data to solve open-ended business problems.

Nice to have:

• Experience using BI visualization tools (e.g., Tableau, Looker, Power BI) to communicate analytical findings.
• Proficiency in data modeling, dbt, and Git-based analytics workflows.
• Knowledge of mobile attribution platforms (e.g., AppsFlyer, Adjust) and product analytics tools (e.g., Amplitude, Mixpanel).