• 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 skilled 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.

📌 Senior Data Analyst (Noida)
🏢 Training Basket
📍 Noida