R Analytics Support Lead

3 days ago

Chennai, India Smart Analytica Full time

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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