Responsibilities

• Work with large datasets to identify trends, patterns, and insights.
• Write efficient and optimized SQL queries to extract, manipulate, and analyze data from relational databases.
• Use Python for data wrangling, transformation, and statistical analysis.
• Build reports, dashboards, and visualizations to present findings to stakeholders.
• Collaborate with cross-functional teams including business, product, and engineering to support analytics needs.
• Assist in developing data models and data pipelines as needed.
• Ensure data accuracy and consistency through validation and quality checks.
• Travel as needed.

Requirements

• Bachelor's degree in Computer Science, Statistics, Mathematics, Engineering, or a related field.
• 2 to 3 years of hands-on experience in data analysis or related roles.
• Proficiency in SQL with the ability to write complex queries.
• Strong programming skills in Python (Pandas, NumPy, etc.).
• Experience with data visualization tools (e.g., Power BI, Tableau, or similar).
• Solid understanding of data structures, statistical methods, and business KPIs.
• Strong problem-solving skills and attention to detail.
• Good communication skills with the ability to present data-driven insights clearly.
• Experience working with cloud platforms (e.g., AWS, GCP, or Azure).
  
  

• Familiarity with ETL processes or tools.
• Knowledge of version control systems like Git.
• Exposure to machine learning concepts or libraries (e.g., scikit-learn).