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Data Analyst

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Onsite

Data Analyst

Bahwan CyberTek

Data Analyst

Skills

SQL QueriesTableauPythonData VisualizationDatabricksGitData AnalysisPower BIAzure

1 month ago

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Important information


Contract type:

Permanent

Location:

Chennai, Tamil Nadu, India

Work mode:

Onsite

Published on:

20 September 2026

What they need


Technical Skills:

  • Strong SQL skills for data querying, transformation, and validation
  • Familiarity with Azure Databricks, Azure Data Factory (ADF), and modern cloud data platforms
  • Understanding of ETL/ELT concepts and data pipeline workflows
  • Experience with data visualization and reporting tools (e.g., Power BI, Tableau)
  • Familiarity with Python for data analysis and scripting
  • Understanding of governed data environments, Unity Catalog, and metric/rule management
  • Knowledge of data quality frameworks and validation methodologies
  • Familiarity with version control (Git) and collaborative development workflows

Knowledge, Skills & Abilities:

  • Strong analytics and problem-solving skills with experience across a broad spectrum of analytics
  • Strong written and verbal communication skills
  • Ability to translate complex business needs into clear, structured, and testable requirements
  • Strong team player working on cross-functional deliverables
  • Attention to detail with a focus on data accuracy and consistency

Location - Hyderabad

Education:

  • Bachelor s degree in Computer Science, Computer Engineering, Data Analytics, Business Analytics, or a relevant field.

Required Experience:

  • 3+ years of experience in a Data Analyst, Business Analyst, BI Analyst, or similar role.
  • Professional experience working with life science domain
  • Demonstrated experience working in a software/data development lifecycle (e.g., requirements, acceptance criteria, UAT support).
  • Strong ability to translate stakeholder needs into clear, testable requirements and communicate effectively with technical teams.
  • Strong SQL skills and experience working with large datasets.
  • Familiarity with modern data environments and tooling (e.g., Databricks, ETL/ELT concepts, Azure, ADF, Python).
  • Experience with governed data environments and well-defined metric/rule management practices.

Preferred Qualifications:

  • Experience with Spark/Delta optimization (partitioning, file sizing, performance tuning).
  • Experience in healthcare/Life Sciences is preferred but not required.
  • Knowledge/experience in DevOps and Agile methodologies.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

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