At Ideawise, we build communities that empower people to live authentic and fulfilled lives. Our mission is to create impactful user experiences, and we’re seeking a Senior Data Analyst to join our Monetization Squad.

In this role, you’ll use cutting-edge tools like SQL, Snowflake, and Tableau to analyze subscription-based revenue streams, in-app purchases (IAPs), and ads. If you’re passionate about data storytelling, app monetization, and driving decisions through insights, this is the role for you.

What You’ll Do

• Analyze subscription-based revenue models and recommend strategies to maximize LTV, ARPU, ARPPU, and ROAS.
• Design and implement A/B testing and multivariate experiments to validate feature impacts.
• Build dashboards and tools to support data-driven decisions across Product, Tech, and Business teams.
• Estimate potential impacts of product features and sunset non-performing ones.
• Collaborate with data engineers to ensure accurate data tracking and pipelines.
• Identify high-performing revenue channels and prioritize resource allocation accordingly.
• Present actionable insights to stakeholders through compelling data storytelling.

What We’re Looking For

Must-Have Skills and Experience

• 5+ years of experience in data analysis, ideally in subscription-based businesses.
• Expertise in SQL and Python for advanced data analysis.
• Experience with cloud-native data warehouses (e.g., Snowflake, BigQuery, or Redshift).
• Strong communication skills in English (written and spoken).
• Proficiency with BI tools like Tableau, Superset, Power BI, or Looker.
• Experience in designing and implementing A/B tests and statistical analyses.

Nice-to-Have Skills

• Knowledge of app-based business models (e.g., App Store, Google Play).
• Experience in paid user acquisition metrics (e.g., ROAS, LTV, payback periods).
• Familiarity with tools like Mixpanel, Amplitude, or Eppo.
• Background in the dating or gaming industries with IAPs/ads experience.

Why Join Us?

• Impactful Work: Shape the future of our app monetization strategy.
• Global Team: Collaborate with talented professionals from around the world.
• Remote Flexibility: Work from anywhere with flexible hours.
• Growth Opportunities: Access to training, mentorship, and career advancement.

How to Apply

Are you ready to take your data analysis skills to the next level? Apply now!

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