Responsibilities

Strong SQL skills for data extraction, joins, aggregations, and performance tuning.
Python proficiency for data manipulation, statistical analysis, and automation (Pandas, NumPy, Scikitlearn preferred).
Solid experience in Power BI dashboard development, DAX measures, and data modeling.
Understanding of predictive analytics, regression models, timeseries forecasting, and machine learning basics.
Strong analytical mindset with excellent problemsolving skills.
Experience with trend analysis, KPI frameworks, and business performance metrics.
Knowledge of data cleaning, data pipelines, and ETL workflows.

Qualifications

Bachelors/Masters degree in Data Science, Statistics, Computer Science, Engineering, or related fields.
Experience working with cloud environments (Azure, AWS, GCP) is an advantage.
Exposure to other BI tools (Tableau, Qlik) is a plus.

Data Analyst