SENIOR DATA Analyst- Monetization & Subscription Analytics

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.

• Analyze
  subscription-based revenue models
  and recommend strategies to maximize LTV, ARPU, ARPPU, and ROAS.
• Design and implementA/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
  .

• 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, Big Query, 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 implementingA/B tests
  and statistical analyses.

• 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.

• 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.

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