Data Analyst - SQL/Python

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About The Role

Key Responsibilities

• Collect, clean, and validate data from various sources to ensure accuracy and completeness.
• Design and build dashboards and reports using Power BI and Tableau to provide insights to stakeholders.
• Write and optimize SQL queries to extract, manipulate, and analyze data from databases.
• Use Python for data processing, automation, and advanced analytics tasks.
• Perform trend analysis, pattern recognition, and forecasting to support business strategy.
• Collaborate with cross-functional teams including Product, Marketing, Finance, and Tech to gather data requirements.
• Translate business questions into data analysis and provide actionable recommendations.
• Ensure data integrity, privacy, and security standards are maintained.
• Continuously improve data collection and analysis processes for efficiency and scalability.
  

Required Skills & Qualifications

• Bachelors degree in Computer Science, Statistics, Mathematics, Economics, or related field.
• 2- 4 years of experience in data analysis or business intelligence roles.
• Proficiency in Excel (including advanced formulas, pivot tables, charts).
• Strong command of SQL for data extraction and analysis.
• Experience with Power BI and/or Tableau for dashboard/report development.
• Hands-on experience in Python for data analysis and scripting.
• Excellent problem-solving and critical-thinking skills.
• Strong communication skills with the ability to explain complex data findings clearly.
• Attention to detail and a passion for data accuracy and storytelling.
  

Nice To Have

• Experience with cloud platforms like AWS, GCP, or Azure.
• Familiarity with statistical tools and machine learning basics.
• Exposure to ETL tools and data warehousing concepts.
  

Perks & Benefits

• Competitive salary and performance bonuses
• Flexible working hours
• Health insurance
• Learning and development budget
• Collaborative work culture