Complete basic data processing and cleansing tasks within the round robin workflow under Data Operations Specialist Team Lead
Complete basic tasks with support from documentation and/or team mentor
Cleanses, reviews, and matches client data in Excel and other tools
Utilize demographic information provided by data submitters to match existing records
Create new customer records using internal and external tools
Assist the Data Operations team with prioritizing high-volume data error cleansing workloads
Execute data processing steps and helps review and resolve errors or integrity issues
Begin assisting with data investigations to troubleshoot problems
Escalate items requiring developer or senior team member intervention
Escalate requests for additional information from data submitters
Perform product mapping and applies conversions to quantity and UOM on transactions
Communicate with data submitters and occasionally clients to resolve data issues with support from team mentor
Track time within assigned tickets using Tempo in Jira
Participate in regular QC reviews of work and ensures adherence to documentation standards

Bachelor’s degree or equivalent work experience
3+ years’ experience in data entry, cleanse, review, and matching.
Ability to apply different business rules and logic to data set
Introductory knowledge of Microsoft SQL Server
Introductory knowledge of Jira and Confluence
Proficient Excel knowledge, ideally able to utilize Pivots and Vlookups
Problem solving mindset
Desire and ability to cross-train within the team to learn about and support new processes
Ability to manage time effectively, prioritize tasks, set goals, and develop a process for achieving those goals.
Ability to manage multiple responsibilities simultaneously while staying focused on team goals and deadlines.

Comprehensive medical coverage – up to INR 7.5 lakh for employee and dependents, including parents.
OPD benefit – coverage of up to INR 15 thousand covering expenses across specialties.
Paternity leave up to 14 working days with the option to split leave.
Flexible hybrid work policy
Free snacks and top class facilities will be available for you.

Customer Support Analyst

Key skills