Key Responsibilities

- Analyze large datasets to generate actionable insights that drive product and business decisions.
- Design, develop, and maintain dashboards and reports using PowerBI and LookerML (preferred) to communicate data-driven insights.
- Write and optimize complex SQL queries to extract and manipulate large-scale datasets.
- Develop scripts in Python (or similar scripting languages) for data extraction, cleaning, automation, and advanced analytics.
- Monitor user behavior, product usage, and conversion funnels using event-based tracking tools like Mixpanel.
- Conduct A/B tests and experimentation to evaluate the impact of new features and changes.
- Apply statistical techniques such as hypothesis testing, confidence intervals, and p-value analysis to validate insights.
- Work closely with product managers, engineers, and other stakeholders to define metrics, track performance, and identify opportunities for improvement.
- Use cloud-based platforms like Google Cloud Platform and BigQuery for scalable data processing and analysis.
- Translate business needs into technical requirements and maintain high data accuracy and integrity.

Required Skills & Qualifications

- Bachelors degree in Statistics, Computer Science, Engineering, Economics, or a related field




- 3+ years of experience in a data analytics or product analytics role, preferably in an e-commerce or online marketplace environment.
- Proficiency in SQL, with the ability to write and optimize complex queries and joins.
- Strong experience with data visualization tool Power BI, Tableau and preferably Looker (including LookerML).
- Working knowledge of Python or another scripting language for automation and analysis.
- Experience (preferred) with event-based analytics platforms like Mixpanel, Amplitude, or Heap.
- Hands-on experience with cloud-based platforms like Google Cloud Platform, BigQuery, etc.
- Solid understanding of statistical concepts and testing methodologies.
- Strong communication skills with the ability to present findings clearly to both technical and non-technical audiences.
- Self-motivated and able to work independently in a quick-paced environment.

Preferred Qualifications

- Experience working with cloud-based data platforms (e.g., BigQuery, Redshift, Snowflake)
- Familiarity with data pipelines or ETL tools
- Understanding of business operations in [industry, e.g., e-commerce, BPO, SaaS, finance]
- Exposure to version control tools like Git

📌 Data Analyst (Mumbai)
🏢 Lumina Datamatics
📍 Mumbai