About the Role

We are seeking a highly motivated and detail-oriented Data Support Analyst to join our team in Chennai. The ideal candidate will have strong SQL skills, a customer-first mindset, excellent analytical capabilities, and a proactive attitude. This role requires flexibility to provide support on weekends as needed and a continuous improvement mindset through data analysis and operational insights.

Key Responsibilities

  • Write and execute complex SQL queries, including SELECT statements, joins, updates, deletes, inserts, and data import/export tasks.
  • Manage and manipulate large datasets using tools like MS Excel, MS Access, and SQL Server (or other RDBMS).
  • Monitor, start, and stop Medicare batch jobs based on Standard Operating Procedures (SOPs).
  • Use job scheduling tools to oversee and maintain automated data jobs.
  • Perform high-level ETL (Extract, Transform, Load) activities and analyze data for patterns and continuous improvement.
  • Provide weekend support on a rotational or on-call basis when needed.

Required Skills & Qualifications

  • Strong working knowledge of SQL, including complex queries and data operations.
  • Experience with data management tools such as Excel, MS Access, and RDBMS platforms.
  • Familiarity with Medicare batch job operations and SOPs.
  • Hands-on experience with job scheduling and ETL tools.
  • Strong analytical skills to interpret data and identify actionable insights.
  • Ability to troubleshoot using system/application logs and command-line tools.
  • Willingness to work flexible hours, including weekends when necessary.
  • A strong sense of accountability and a positive, solution-oriented attitude

Desired Skills

  • 2+ years of professional SQL experience.
  • Experience using job scheduling tools such as vCron, Tidal, or BMC.
  • 2+ years of experience working with MS Excel and MS Access (or equivalent).
  • Prior experience with reviewing and interpreting system and application logs.
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Education

  • Bachelor’s degree or higher in Computer Science, Information Technology, or equivalent experience.