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R analytics Support

R analytics Support

Smart AnalyticaChennai, Tamil Nadu, India
16 days ago
Job 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 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.

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