Business Analyst - SQL, Python & Machine Learning

Job Summary

We are looking for a data-driven Business Analyst with strong expertise in SQL, Python, data analysis, and a working knowledge of Machine Learning. The ideal candidate will be responsible for analyzing business requirements, extracting and interpreting data, identifying trends, and delivering actionable insights to support business decision-making.

The candidate will work closely with business stakeholders, data engineers, data scientists, and technical teams to translate business problems into analytical solutions.

Key Responsibilities

• Gather, analyze, and document business requirements from stakeholders.
• Write complex SQL queries to extract, manipulate, and analyze large datasets.
• Use Python libraries such as Pandas, NumPy, and Matplotlib for data analysis and visualization.
• Apply statistical analysis and basic Machine Learning techniques to identify trends, patterns, and business opportunities.
• Support the development, validation, and evaluation of predictive models in collaboration with data science teams.
• Perform exploratory data analysis (EDA), data cleaning, data validation, and feature analysis.
• Develop reports, dashboards, and business insights to support strategic decisions.
• Translate business requirements into functional specifications, user stories, and analytical use cases.
• Identify business process improvements through data-driven analysis.
• Collaborate with cross-functional teams to define KPIs, track performance, and measure business outcomes.
• Present analytical findings and recommendations to technical and non-technical stakeholders.

Required Skills

• Strong proficiency in SQL, including joins, subqueries, CTEs, aggregate functions, and window functions.
• Good hands-on experience with Python for data analysis and automation.
• Knowledge of Python libraries such as Pandas, NumPy, Matplotlib, and Seaborn.
• Understanding of Machine Learning concepts, including regression, classification, clustering, and model evaluation.
• Experience in data analysis, exploratory data analysis, and statistical techniques.
• Strong analytical, problem-solving, and critical-thinking skills.
• Ability to understand business requirements and convert them into actionable insights.
• Good communication, documentation, and stakeholder-management skills.
• Experience with Power BI

Preferred Skills

• Experience with Power BI, Tableau, or similar data visualization tools.
• Knowledge of Scikit-learn and Machine Learning model development.
• Familiarity with Jupyter Notebook and database platforms such as MySQL, PostgreSQL, SQL Server, or Oracle.
• Understanding of data warehousing, ETL processes, and data quality management.
• Knowledge of Agile methodologies, Jira, and business requirement documentation.