R analytics Support Lead

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.

Required Qualifications

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.

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.