Data Operations & Production Support Analyst

Key Responsibilities

Campaign Operations & Delivery

Monitor campaign execution and ensure required processing, QC, and delivery activities are completed appropriately.

Support campaign setup changes, mapping/cost refreshes, reruns, reprocessing, and production corrections.

Review processing requirements and dependencies before campaigns are released for execution.

Monitor campaign end dates, processing requirements, and run eligibility to prevent unnecessary or incorrect executions.

Coordinate validated outputs and operational handoffs to downstream teams.

Quality Control & Data Validation

Perform or coordinate first-line QC for campaign outputs and investigate data anomalies before downstream delivery.

Review campaign processing results, trend checks, record/count validations, and other operational controls.

Support QC of portal files and monthly extracts and coordinate resolution of discrepancies with the appropriate teams.

Maintain evidence of completed QC and support downstream reviewers with data and investigation findings.

Help continuously strengthen operational controls to detect data or processing issues earlier.

Production Support & Issue Management

Act as an onshore point of contact for production issues, failed jobs, unexpected campaign results, data discrepancies, and operational questions.

Perform initial triage and determine whether issues require operational correction or escalation to Data Management, Product Support, Development, Data Ingestion, or other platform teams.

Collect logs, queries, screenshots, processing details, and other evidence required for technical investigation.

Coordinate retesting and validation following production fixes.

Track operational issues through closure and communicate status, impact, dependencies, and resolution clearly to stakeholders.

Support incident management and recurring-problem/root-cause analysis.

Stakeholder & Cross-Team Coordination

Work closely with Client Engagement/Account Coordinators, Data Management Operations, CHIP Support, Product Support, Development, Config, Data Ingestion, and partner teams.

Translate business-facing operational issues into clearly defined technical/support requests.

Coordinate missing inputs, campaign exceptions, mapping decisions, QC findings, reruns, and redeliveries.

Provide timely operational status and clearly communicate risks, blockers, downstream impacts, and required decisions.

Participate in operational stand-ups, campaign reviews, issue discussions, and planning activities.

Operational Governance & Documentation

Maintain operational trackers, support tickets, processing status, dependencies, and issue documentation.

Ensure standard operating procedures and support documentation remain aligned with current production processes.

Identify recurring manual tasks, production failure patterns, and opportunities for automation or standardization.

Support implementation of new operational controls and transition new capabilities into steady-state production support.

Follow defined approval and change-control processes for high-impact reruns, refreshes, or production changes.

Required Qualifications

Experience in data operations, production support, application/platform support, campaign operations, analytics operations, or a similar data-intensive environment.

Strong SQL skills with the ability to query and validate large datasets and investigate data discrepancies.

Experience supporting scheduled production workflows, batch processing, or data pipelines.

Strong troubleshooting skills and ability to perform first-level analysis before escalating issues.

Experience with data validation, reconciliation, and operational quality-control processes.

Strong written and verbal communication skills with the ability to explain technical issues to both technical and business stakeholders.

Ability to manage multiple concurrent campaign deliverables, incidents, and operational priorities.

Strong attention to detail and ownership mindset.

Preferred Technical Experience

Experience in some of the following would be beneficial:

Snowflake

SQL

Production data pipelines / ETL

Workflow scheduling and orchestration

Power BI or similar reporting/QC tools

SFTP/file-based integrations

Jira / Confluence or comparable work-management/documentation tools

Campaign or digital measurement data