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Data Analyst
About the role
Seasoned Data Analyst with 5‑9 years of experience in data management, analytics, and data operations. Expert in SQL, Python, and Pyspark, with hands‑on knowledge of Hadoop, Hive, and Spark for big‑data processing. Skilled in data mapping, modeling, and quality validation, and experienced in Agile/Scrum environments. Comfortable working with cloud platforms (AWS, GCP, Azure) and building data assets for reusable analytics. Strong analytical, decision‑making, and problem‑solving abilities, with a track record of delivering insights that drive business decisions. Adept at collaborating with cross‑functional teams, translating business requirements into technical solutions, and maintaining documentation for data pipelines and designs.
What you’ll do
- Own sprint story execution and delivery
- Translate business requirements into tasks
- Map business entities to technical attributes
- Ensure timely, high‑quality task completion
- Follow Agile processes and collaborate with leads
- Update stakeholders on progress, risks, and issues
What you’ll bring
Bachelor's or Master's in any field, 2‑5 years experience
Nice to have
- Relevant certifications preferred
- BFSI domain knowledge
- Data visualization skills (Tableau or Qlik Sense)
Skills
Education
Bachelor's Degree