Senior Data Analyst

Training Basket; Dadri; On-site; INR 900,000 - 1,300,000; Full time

Job summary

Training Basket in Dadri, Uttar Pradesh, is seeking a data analytics professional to collect, clean, validate, and analyze large datasets from multiple sources and to develop interactive dashboards using Power BI or Tableau. You will write complex SQL, perform EDA, analyze business KPIs, automate reporting with Python and SQL, and design data models to support BI.

Collaboration with product, marketing, finance, and operations is essential, along with documenting processes and presenting insights

Qualifications

• Bachelor's or Master's degree in a relevant field.
• 4–7 years of professional experience in data analytics or BI.
• Advanced proficiency in SQL, including joins, subqueries, CTEs, window functions, and optimization.
• Strong knowledge of Python (Pandas, NumPy) for data manipulation.
• Hands-on experience with Power BI, Tableau, or similar BI tools.
• Advanced Excel skills (Pivot Tables, XLOOKUP, Power Query).
• Strong understanding of statistical analysis, hypothesis testing, and data interpretation.
• Experience in data cleaning, transformation, validation, and reporting.
• Knowledge of ETL, data warehousing, and data modeling.
• Ability to translate business requirements into analytical solutions.
• Excellent communication and stakeholder management skills.

Responsibilities

• Collect, clean, validate, and analyze large datasets from multiple sources.
• Develop and maintain dashboards using Power BI or Tableau.
• Write complex SQL queries to extract, transform, and analyze data.
• Perform exploratory data analysis to identify trends and opportunities.
• Analyze business KPIs and provide actionable insights to stakeholders.
• Automate reporting using Python, SQL, and related tools.
• Design data models to support BI and reporting requirements.
• Collaborate with cross-functional teams to gather analytical needs.
• Conduct statistical analysis, forecasting, and trend analysis.
• Ensure data accuracy, integrity, and quality across reports.
• Create documentation for dashboards, reports, and processes.
• Present findings to senior management.
• Identify opportunities for process improvement and operational efficiency.
• Mentor junior data analysts.

Skills

SQL

Python

Analytical thinking

Communication

Stakeholder management

Mentoring

Education

Bachelor's or Master's degree in CS/Stats/Math/Economics/Data Analytics

Tools

Power BI

Tableau

Excel

Job description

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.