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R Analytics Support Lead

R Analytics Support Lead

Smart AnalyticaChennai
3 days ago
Job description

Description :

Role : R Analytics Support.

Mode : Onsite (5 days) (Rotational shift 24-7) NO night shift.

Location : Chennai.

Job Summary :

We are looking for an experienced R Analytics Lead to manage the day-to-day operations of our R-based analytics environment.

The role focuses on monitoring the execution of existing R scripts, resolving failures through root cause analysis and data cleaning, supporting business teams with production data requests, and mentoring the R Ops team for better process efficiency and incident handling.

Key Responsibilities :

  • Monitor Production Jobs : Oversee successful execution of scheduled R scripts; monitor failures, investigate issues, and take corrective actions.
  • Root Cause Analysis : Troubleshoot script failures and identify data or logic issues; perform necessary fixes and re-execute the process to ensure output delivery.
  • Data Cleaning : Handle raw or inconsistent production data by applying proper cleaning techniques to ensure smooth script execution.
  • Production Data Requests : Fulfill various production data and reporting requests raised by business stakeholders using R and SQL.
  • Process Improvement : Identify areas to improve existing R code performance, suggest enhancements, and help automate or simplify routine tasks.
  • Collaboration with Development & QA : Support testing, deployment, and monitoring activities for new script developments or changes in the production environment.

Required Qualifications :

  • 3+ years of experience in analytics support role.
  • Strong hands-on experience in R programming (especially with packages like dplyr, data.table, readr, lubridate).
  • Proficiency in SQL for data extraction, transformation, and analysis.
  • Experience in handling production support, script monitoring, and issue resolution.
  • Demonstrated ability to lead teams, train junior members, and coordinate across departments.
  • Desirable Skills :

  • Familiarity with scheduling tools and database connections in a production environment.
  • Ability to document processes, communicate issues clearly, and interact with business users.
  • (ref : hirist.tech)

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