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 recent 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.
Solid 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 fast-paced setting.

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 Maharashtra
🏢 Lumina Datamatics
📍 Maharashtra