Analytics Integration Product Specialist

Hybrid hybrid in Mclean in McLean, VA

Our client seeks an Analytics Integration Product Specialist to lead a multi-site web analytics migration and decommission effort supporting DFS Integration. The role will establish and drive a migration roadmap, secure stakeholder alignment, map variable- and event-level tracking between legacy and target platforms, validate reporting parity during live cutovers, and coordinate with engineering to meet fixed deadlines. The engagement supports Discover marketing site pages transitioning to the Capital One tech stack, ensuring business continuity and preparing for a move off the legacy analytics platform.

The assignment targets completion by June 1, 2027.

Due to client requirements, applicants must be willing and able to work on a w2 basis. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance.

Rate: $50.00 to $58.00/hr. w2

• Build and maintain the analytics migration roadmap across in-scope sites, sequencing work to site launches and fixed legacy-platform deadlines.
• Represent the analytics plan in planning and status forums and secure buy-in from product and engineering leads per site.
• Own variable-level mapping across implementations, including tracking IDs, custom dimensions and metrics, and events.
• Validate reporting parity before and after each cutover by confirming key metrics match pre- and post-migration.
• Direct build work across up to three supporting engineers and partner with internal engineering to align tracking validation with launches.
• Monitor compliance decision dependencies for two Global Payments Network sites and re-scope plans as required.
• Drive the three fixed legacy-platform deadlines to completion.
• Flag scheduling risk clearly and early given external contractual deadlines.

• Hands-on experience migrating or re-platforming web analytics, including variable- and event-level mapping between systems.
• Proven ability to create and drive a migration roadmap to alignment across multiple stakeholder groups.
• Ability to read and reconcile analytics data dictionaries (e.g., eVars, props, events, or GA4 equivalents) against a target schema.
• Experience validating analytics data during live cutovers to confirm parity.
• Experience managing multiple concurrent work streams with independent deadlines.
• Clear, proactive written communication for product and engineering audiences.
• Nice to have: familiarity with enterprise tag managers such as Adobe Launch or Tealium.
• Nice to have: experience migrating from Adobe Analytics to modern or in-house platforms.
• Nice to have: experience with analytics data in cloud data warehouses such as Snowflake.
• Nice to have: experience delivering against vendor or contract deadlines.
• Background working through a product development lifecycle with engineers.
• Understanding of web analytics and page tracking using Google Analytics or Adobe Analytics.