Job Purpose

Key Responsibilities

• Develop and maintain dashboards using Power BI or Tableau to visualize key performance indicators.
• Design, query, and optimize relational databases with SQL, ensuring data integrity and efficient retrieval.
• Build, train, and evaluate machine learning models, selecting appropriate algorithms and performance metrics.
• Apply statistical methods to validate findings, interpret confidence intervals, and assess significance.
• Write clean, efficient Python code for data manipulation, automation, and integration with analytical pipelines.

Required Qualifications

• Proficiency in business intelligence tools (Power BI, Tableau) and understanding of chart‑selection principles.
• Strong SQL skills, including joins, aggregations, star schemas, and indexing concepts.
• Solid foundation in machine learning concepts, covering supervised, unsupervised, and reinforcement learning, as well as model evaluation.
• Knowledge of statistical fundamentals: probability rules, hypothesis testing, confidence intervals, and correlation analysis.
• Expertise in Python programming, including pandas, NumPy, and scripting for data cleaning and automation.

Preferred Qualifications

• Experience with data warehousing and ETL processes.
• Familiarity with advanced analytics platforms such as Azure ML or AWS SageMaker.
• Ability to communicate complex insights clearly to non‑technical stakeholders.