Data Analyst

We are looking for a Data Analyst to join our team and help us make sense of complex data. If you have a strong analytical mindset, attention to detail, and the ability to turn raw numbers into actionable insights, we want to hear from you!

Key Responsibilities

• Collect, process, and analyze data related to user behavior and app performance, focusing on:
  • Behavioral Segmentation
  • New vs. Returning Users
  • Active Users
  • Session Length and Frequency
  • Time in App
  • Drop-off Points
  • Retention and Engagement Metrics
• Monetization and Revenue Tracking
• Build and maintain dashboards and reports to provide real-time insights into key performance indicators (KPIs).
• Collaborate with cross-functional teams, including product managers, developers, and marketing teams, to inform decision-making and strategy.
• Conduct deep-dive analysis to identify trends, patterns, and opportunities for optimization.
• Recommend data-driven strategies to improve user engagement, retention, and monetization.
• Monitor and evaluate the success of experiments, campaigns, and new features.
• Ensure data integrity and consistency across all tracking and analytics systems.
• Improve and implement processes for data collection, metadata creation and enrichment, and overall data management

Qualifications

• Proven experience as a Data Analyst or similar role, preferably in a digital product or mobile app environment.
• Familiarity with tracking tools like Google Analytics, Amplitude, or Mixpanel.
• Strong understanding of metrics related to user behavior, engagement, retention, and monetization.
• Ability to communicate findings clearly and effectively to technical and non-technical audiences.
• Detail-oriented with excellent problem-solving skills.

Bonus Skills (Nice to Have):

• Bachelor’s degree in a quantitative field such as Data Science, Statistics, Computer Science, Mathematics, Economics, or a related discipline.
• Proficiency in data visualization tools (e.g., Tableau, Power BI, Looker) and analytical software (e.g., Python, R, SQL).
• Experience working with large datasets and data pipelines

What We Offer

• Competitive salary and benefits package.
• Opportunities for professional development and growth
• A supportive, collaborative team environment focused on innovation