Job Purpose

Key Responsibilities

• Collect, clean, and integrate data from relational databases and data warehouses.
• Develop and maintain dashboards using Power BI or Tableau to visualize business metrics.
• Design, train, and evaluate machine‑learning models aligned with business objectives.
• Apply statistical methods to validate findings and quantify uncertainty.
• Write efficient Python scripts leveraging pandas, NumPy, and related libraries for data manipulation and automation.

Required Qualifications

• Strong knowledge of relational database concepts, SQL querying (SELECT, JOIN, GROUP BY) and data warehousing (star schema, fact/dimension tables).
• Proficiency in business intelligence tools (Power BI, Tableau) and ability to choose appropriate visualizations.
• Understanding of machine‑learning fundamentals, supervised/unsupervised learning, overfitting, bias‑variance trade‑off, and appropriate evaluation metrics.
• Solid foundation in statistics and probability, including hypothesis testing, confidence intervals, and interpretation of p‑values.
• Advanced Python programming skills, including data structures (list, dict, set), pandas data frames, and automation scripting.

Preferred Qualifications

• Experience with version‑controlled model deployment and monitoring.
• Familiarity with cloud data platforms and big‑data processing frameworks.
• Ability to communicate technical insights to non‑technical stakeholders using clear visual storytelling.