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Collect, clean, validate, and analyze large datasets from multiple sources.

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Develop and maintain interactive dashboards and reports using Power BI or Tableau.

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Write complex SQL queries to extract, transform, and analyze data.

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Perform exploratory data analysis (EDA) to identify trends, patterns, and business opportunities.

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Analyze business KPIs and provide actionable insights to stakeholders.

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Automate reporting processes using Python, SQL, and other analytical tools.

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Design and implement data models to support business intelligence and reporting requirements.

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Collaborate with business, product, marketing, finance, and operations teams to understand analytical requirements.

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Conduct statistical analysis, forecasting, and trend analysis.

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Ensure data accuracy, consistency, integrity, and quality across reports.

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Create and maintain documentation for dashboards, reports, and analytical processes.

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Present analytical findings and recommendations to senior management.

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Identify opportunities for process improvement and operational efficiency.

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Mentor junior data analysts and review their analytical work.

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Support business strategy through data-driven insights and performance analysis.

Requirements

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Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Economics, Data Analytics, or a related field.

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4–7 years of qualified experience in data analytics or business intelligence.

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Advanced proficiency in SQL, including joins, subqueries, CTEs, window functions, and query optimization.

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Strong knowledge of Python, including Pandas, NumPy, and data manipulation.

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Hands-on experience with Power BI, Tableau, or similar BI tools.

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Advanced Excel skills, including Pivot Tables, XLOOKUP, Power Query, and complex formulas.

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Strong understanding of statistical analysis, hypothesis testing, and data interpretation.

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Experience in data cleaning, transformation, validation, and reporting.

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Knowledge of ETL processes, data warehousing, and data modeling.

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Ability to translate business requirements into analytical solutions.

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Excellent communication, presentation, and stakeholder management skills.

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Strong analytical thinking, problem-solving, and attention to detail.

📌 Senior Data Analyst (Noida)
🏢 Important Company of the Sector
📍 Noida