R Analytics Support Professional

Job ID: SA_ID_CHN_000014 Mode: Onsite (5 days), rotational shift 24 7 (no night shift)

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: fulfil 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 an 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.