Product Analyst II

About the role

The Sr. Analyst, Data Product Strategy will lead analytics efforts by building data connections with marketing and measurement partners utilizing proprietary data sets, while adhering to data governance and privacy compliance standards. This role drives modernization efforts to ensure data flows, processing, and reporting are accurate and insightful.

Responsibilities

• Lead the development, launch, and evolution of data products that power audience targeting, activation, measurement, attribution, and advanced advertising capabilities.
• Partner with cross-functional stakeholders across Ad Sales, Product, Research, Data Engineering, Data Science, Privacy, and Marketing to translate business needs into scalable data solutions.
• Define product requirements, success metrics, and operational processes for data products and partnerships.
• Collaborate with teams leveraging proprietary identity, audience, and device graph capabilities to improve addressability and data activation outcomes.
• Support the development of privacy-safe data collaboration solutions for audience monetization, interoperability, identity resolution, and outcome measurement.
• Design and implement measurement, attribution, and outcome frameworks that connect campaign activation to business results.
• Document, build, and automate scalable workflows, leveraging AI and machine learning where appropriate.
• Lead data governance, validation, and quality assurance efforts to ensure consistency and compliance.
• Partner with external technology providers, identity partners, clean room providers, and measurement platforms to evaluate capabilities and support integrations.

Requirements

• Experience: 3+ years of experience in technology, advertising technology, product development, data strategy, media buying, planning, sales, analytics, or operations.
• Technical Skills: Proficiency in SQL and Python. Knowledge of key statistics concepts (e.g., hypothesis testing, A/B testing, regression analysis). Experience in one or more automation tools (e.g., Looker).
• Education: Bachelor's degree in data science, computer science, mathematics, information systems, information technology, or a related field.

Preferred Qualifications

• Public speaking and presentation skills.
• Experience with ad tech and martech platforms (e.g., CDPs, MMPs, DSPs, Clean Rooms).
• Experience working with contracts, DPAs/DTAs, sourcing, and procurement teams.
• Understanding of API connectivity and data streaming architecture.
• Machine learning, AI, and predictive modeling experience is a plus.

Benefits

Everforth Apex offers a range of supplemental benefits, including medical, dental, vision, life, disability, and other insurance plans that offer an optional layer of financial protection. We offer an ESPP (employee stock purchase program) and a 401K program which allows you to contribute typically within 30 days of starting, with a company match after 12 months of tenure. Everforth Apex also offers a HSA (Health Savings Account on the HDHP plan), a SupportLinc Employee Assistance Program (EAP) with up to 8 free counseling sessions, a corporate discount savings program and other discounts. In terms of professional development, Everforth Apex hosts an on-demand training program, provides access to certification prep and a library of technical and leadership courses/books/seminars once you have 6+ months of tenure, and certification discounts and other perks to associations that include CompTIA and IIBA. Everforth Apex has a dedicated customer service team for our Consultants that can address questions around benefits and other resources, as well as a certified Career Coach. You can access a full list of our benefits, programs, support teams and resources within our ‘Welcome Packet’ as well, which an Everforth Apex team member can provide.

Pay

TBD

Schedule

Hybrid