Data Analyst

Job Overview:.

The Data Operations Analyst is a highly analytical, detail-oriented professional responsible for triaging and resolving data issues escalated by Customer Service. Operating under the CX Data Office, this role ensures the integrity of internal and customer data within our CX systems and Pure1 platform. The ideal candidate excels at tracing data lineage, understanding system interfaces, and adhering to strict SLAs.

Key Responsibilities:

- Ticket Resolution: Receive, triage, and resolve data quality and integration tickets escalated by Customer Service within defined SLAs.
- Root Cause Analysis: Analyze data provenance (lineage) to identify the source of data discrepancies or system interface failures. – Runbook based
- Process Mapping: Utilize CRUD (Create, Read, Update, Delete) process mapping to understand flows and identify gaps.
- Documentation: Follow and adhere to high-quality documentation for internal processes, data policies, and resolution runbooks.
- Collaboration:



Work closely with the Data Operations Manager and broader CX Data Office to support business enablement initiatives.

Required Skills & Qualifications:

- 1+ years of experience in a support-related field
- Analytical Mindset: Basic analytical skills and meticulous attention to detail (Core Requirement).
- Tools: Familiarity working within Jira Cloud for ticket management and workflow tracking. – This is a nice-to-have
- Execution: Proven ability to work under structured policies, process frameworks, and strict operational timelines

Preferred (Bonus) Skills
- Hands-on experience with SFDC (Salesforce), Reltio, SAP, or ServiceNow. – Receiving tickets in ServiceNow – working through data quality issues across SFDC, Reltio, SAP across multiple systems – need to understand the source system that generated the data issue based on following documented steps
- Experience working in a integral support or shared-services environment.

📌 Data Operations Analysts (Lagunilla)
🏢 Movate
📍 Lagunilla