We are looking for a detail-oriented and analytical Data Analyst with 3–4 years of hands-on experience in data analysis, reporting, and business insights. The ideal candidate will transform raw data into meaningful insights that support strategic decision-making across teams.
Collect, clean, and analyze large datasets from multiple sources
Develop dashboards and reports using tools such as Tableau, Power BI, or Looker
Write complex SQL queries to extract and manipulate data
Perform exploratory data analysis (EDA) to identify trends and patterns
Work with cross-functional teams (Product, Marketing, Finance, Operations) to define KPIs and track performance
Automate recurring reports and optimize data workflows
Present insights and recommendations to stakeholders in a clear and actionable manner
Ensure data accuracy, integrity, and governance standards
Bachelor’s degree in Statistics, Mathematics, Computer Science, Economics, or related field
3–4 years of experience in data analysis or business intelligence
Strong proficiency in SQL
Experience with visualization tools like Tableau, Power BI, or Looker
Proficiency in Microsoft Excel (advanced formulas, pivot tables, Power Query)
Working knowledge of Python or R for data analysis
Understanding of statistical concepts and data modeling
Strong problem-solving and critical thinking skills
Excellent communication and stakeholder management skills
Experience working with cloud platforms like Amazon Web Services, Google Cloud Platform, or Microsoft Azure
Familiarity with data warehousing concepts (e.g., Snowflake, BigQuery, Redshift)
Experience in A/B testing and experimentation frameworks
Knowledge of ETL tools (e.g., Airflow, dbt)
Exposure to machine learning basics