Analytics Strategist- Ptarmigan Media

Omnicom Media Group US•New York, NY

1d•$65,000 - $80,000•Hybrid

About The Position

Omnicom Media Group (OMG), the media services division of Omnicom Group Inc. (NYSE: OMC) – delivers transformational experiences for consumers, clients, and talent. Powered by the Omni marketing orchestration system, OMG connects best-in-class capabilities that enable our full-service media agencies OMD, PHD, and Hearts & Science to deliver more relevant and actionable consumer experiences, more productive and proactive client experiences, and more collaborative and rewarding talent experiences for the more than 24,000 people serving the world’s leading brands in OMG agencies around the globe. Overview The Analytics Strategist supports the Business Analytics & Data Operations function with a primary focus on data quality, reporting accuracy, and operational excellence. This role plays a critical part in ensuring data resilience across platforms, validating campaign tracking, and maintaining integrity throughout the data lifecycle. Reporting to the Analytics Manager, the Strategist will work closely with Digital, Account, and offshore data teams to monitor data health, troubleshoot discrepancies, and deliver accurate reporting. This position emphasizes precision, process discipline, and proactive QA over strategic ownership. The ideal candidate is highly detail-oriented, technically curious, and motivated to build expertise in data operations and analytics within an agency environment.

Requirements

Strong attention to detail and commitment to data accuracy.
Foundational understanding of digital media metrics and campaign tracking.
Experience working with dashboards, preferred experience in Datorama
Comfort working with large datasets and performing reconciliation across multiple sources.
Understanding of campaign tracking parameters (UTMs, tagging, platform naming conventions).
Ability to identify anomalies and investigate root causes.
Strong organizational and documentation skills.
Clear written and verbal communication skills.
Ability to manage multiple reporting deadlines in a fast-paced environment.

Responsibilities

Perform rigorous QA on campaign data across platforms to ensure accuracy and completeness.
Validate tracking implementation, taxonomy adherence, and naming convention consistency.
Monitor data ingestion pipelines and identify discrepancies or anomalies.
Reconcile data across platforms (ad servers, media platforms, analytics tools, internal systems).
Troubleshoot and resolve data inconsistencies in collaboration with technical and media teams.
Support the development and maintenance of data validation frameworks and QA checklists.
Document recurring issues and contribute to process improvements that enhance data resilience.
Assist in root cause analysis for reporting discrepancies or tracking errors.
Ensure reporting outputs align with source-of-truth data.
Build, update, and maintain dashboards under the direction of the Analytics Manager.
Execute recurring and ad hoc reporting with a strong emphasis on accuracy and timeliness.
Perform pre- and post-delivery QA on all reports before distribution.
Organize and validate campaign data, build clear visuals, and provide structured analysis to support reporting and insight development
Support reporting automation efforts to reduce manual errors and improve efficiency.
Support data ingestion, transformation, and workflow monitoring processes.
Ensure campaign tracking parameters are correctly implemented prior to launch.
Monitor campaign data health throughout the campaign lifecycle.
Maintain documentation for data processes, taxonomies, and governance standards.
Escalate systemic data issues to the Analytics Manager with recommended next steps.
Partner with Digital Media teams to confirm accurate campaign setup and tracking.
Work with Account teams to clarify reporting requirements and timelines.
Coordinate with offshore or technical teams to resolve data pipeline issues.
Support performance review meetings by providing validated reporting and data explanations.