Data Analyst
Summary
Analyze user behavior and subscription metrics to optimize mobile app growth and retention, using SQL, A/B testing, and data visualization.
What We're Looking For
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).
Candidate journey ⭕️ Recruiter call --> ⭕️ Skills assessment --> ⭕️ Meet the Leadership team