Senior Data Analyst

• 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.
  

• 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.