Senior Data Analyst in Noida, भारत

• 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

• Bachelors or Masters degree in Computer Science Statistics Mathematics Economics Data Analytics or a related field.
  

• 47 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.
  

Required Skills:

Bachelors or Masters degree in Computer Science Statistics Mathematics Economics Data Analytics or a related field. 47 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.

Required Education:

Any