Data Analyst

Job Summary

We are seeking a detail-oriented and results-driven Data Analyst with 3–5 years of professional experience. In this role, you'll be responsible for transforming complex data into actionable insights that support strategic decision-making across the organization.

Key Responsibilities

• Analyze large datasets to identify trends, patterns, and actionable insights that drive business performance - with a primary focus on subscription-related metrics (e.g., acquisitions, resurrections, churn, revenues, MRR, ARPU, LTV) and user engagement (e.g., content streaming behavior, session frequency, retention)
• Perform cross-analysis, user segmentation, and classification to identify behavioral patterns, target cohorts, and optimize user lifecycle strategies (e.g., acquisition channels, churn risk, high-LTV segments) ; Leverage segmentation and classification techniques to group users by behavior, value, and lifecycle stage, enabling more targeted marketing, retention, and content strategies
• .Build dashboards, reports, and visualizations (such as Tableau, Power BI, or Looker)
• .Work closely with cross-functional teams (Product, Marketing, Finance, etc.) to define data needs and deliver analytical solutions
• .Translate business questions into analytical problems and provide recommendations based on data
• .Perform data validation, cleaning, and transformation (ETL/ELT flows) to ensure data accuracy and integrity
• .Assist in designing and implementing data collection processes and best practices
• .Communicate findings clearly and concisely to both technical and non-technical stakeholders

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Qualifications

• Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Economics, or a related field
• 3–5 years of experience in a data analyst or business intelligence role
• highly proficient in SQL and working with relational databases (AWS Redshift, MySQL)
• Proficiency in scripting language, mainly Python and PySpark
• .Experience with data visualization tools (e.g., Tableau, Power BI, and ideally Looker
• Strong analytical thinking and problem-solving skills
• Solid understanding of statistical methods and data modeling techniques, including dimensional modeling (e.g., star and snowflake schemas) and third normal form (3NF) entity-relationship (ER) modeling
• Proficiency in Excel
• Excellent communication and presentation skills
• Experience working with cloud-based data platforms (AWS : S3, Redshift
• Exposure to tools like Airflow, or other data engineering workflows.