Description

You extract, clean, and model data to drive business insights and reporting.

This role is on-site.

Responsibilities

• Perform ETL processes to extract and transform data from internal databases, cloud platforms, and external APIs.
• Design and maintain data warehouse models and relational databases to optimize data access and quality.
• Apply statistical methods, hypothesis testing, and regression analysis to uncover trends and predict outcomes.
• Define, track, and report on KPIs across Marketing, Sales, and Operations functions.
• Develop interactive dashboards and reports to present complex data clearly to technical and non-technical audiences.

Required Skills

• Advanced SQL proficiency for complex queries, stored procedures, and database management.
• Expertise in Python or R for statistical modeling, data analysis, and automation (Pandas, NumPy, Scikit-learn).
• High proficiency in Tableau, Power BI, or Google Looker Studio for visualization.
• Strong foundation in descriptive and inferential statistics.
• Advanced Microsoft Excel skills including Pivot Tables, VLOOKUP, and modeling.
• 5+ years of experience in data analysis, ETL, and data warehousing.
• Ability to collaborate with Data Engineering, Product, and IT teams to define requirements.

Preferred Skills

• Experience identifying and recommending process improvements based on data analysis.
• Background in data engineering principles.

Key Skills

Education

Any Gradute