• Collect, clean, validate, and analyze large datasets from multiple sources. • Develop and maintain interactive dashboards and reports using Power BI or Tableau. • Write complex SQL queries to extract, transform, and analyze data. • Perform exploratory data analysis (EDA) to identify trends, patterns, and business opportunities. • Analyze business KPIs and provide actionable insights to stakeholders. • Automate reporting processes using Python, SQL, and other analytical tools. • Design and implement data models to support business intelligence and reporting requirements. • Collaborate with business, product, marketing, finance, and operations teams to understand analytical requirements. • Conduct statistical analysis, forecasting, and trend analysis. • Ensure data accuracy, consistency, integrity, and quality across reports. • Create and maintain documentation for dashboards, reports, and analytical processes. • Present analytical findings and recommendations to senior management. • Identify opportunities for process improvement and operational efficiency. • Mentor junior data analysts and review their analytical work. • Support business strategy through data-driven insights and performance analysis. Requirements • Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Economics, Data Analytics, or a related field. • 4–7 years of professional experience in data analytics or business intelligence. • Advanced proficiency in SQL, including joins, subqueries, CTEs, window functions, and query optimization. • Strong knowledge of Python, including Pandas, NumPy, and data manipulation. • Hands-on experience with Power BI, Tableau, or similar BI tools. • Advanced Excel skills, including Pivot Tables, XLOOKUP, Power Query, and complex formulas. • Strong understanding of statistical analysis, hypothesis testing, and data interpretation. • Experience in data cleaning, transformation, validation, and reporting. • Knowledge of ETL processes, data warehousing, and data modeling. • Ability to translate business requirements into analytical solutions. • Excellent communication, presentation, and stakeholder management skills. • Strong analytical thinking, problem-solving, and attention to detail.