R Analytics Lead - SQL

Role : R Analytics Support.

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

Location : Mumbai.

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.
• Issue Resolution & Team Support : Act as the go-to person for any technical issues in the R Ops team.
• Guide and support team members in identifying problems and resolving them.
• 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.
• Knowledge Sharing : Train and mentor team members on R coding standards, production support practices, database usage, and debugging techniques.
  
  

• 6+ years of experience in analytics, with at least 4 years in a lead or senior operations/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.
  
  

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