Manager, Measurement Strategy
Brainlabs
•Onsite
About The Position
As a Manager, Measurement Strategy at Brainlabs, you will lead complex data projects that bridge analytics execution and strategic consulting. You'll scope and manage multi-workstream initiatives, design measurement frameworks, and deliver actionable insights that shape client business outcomes. This role requires equal parts technical depth and strategic vision—you'll mentor team members, design end-to-end data solutions, and act as a trusted advisor to clients on their data maturity journey.
Requirements
- 4-7 years of experience in data analytics, data strategy, business intelligence, or management consulting
- Deep expertise in SQL, Python or R, and modern analytics tools (Looker, BigQuery, Tableau, Power BI)
- Proven experience leading complex, multi-stakeholder data projects from conception to delivery
- Strong data science fundamentals, including experience with ML models, statistical testing, and experimentation frameworks
- Ability to design measurement strategies and KPI frameworks tied to business outcomes
- Excels at translating ambiguous business problems into structured analytical approaches
- Experience coaching and mentoring junior team members
- Confident communicator who can present to clients and lead strategic conversations
Nice To Haves
- Understands digital marketing analytics, attribution, media measurement, or martech/adtech ecosystems
Responsibilities
- Scope, plan, and deliver end-to-end analytics and strategy projects, managing timelines, RACI, and cross-functional dependencies
- Lead the strategic design of data solutions—including reports, dashboards, and analytical frameworks—gathering requirements, creating briefs and wireframes to ensure outputs are insightful and user-friendly
- Design and implement KPI frameworks and measurement plans that align with client business objectives across the full marketing funnel
- Own complex, ad-hoc analyses that answer ambiguous client questions, delivering clear and actionable business insights
- Apply advanced data science techniques, including machine learning, regression analysis, and experimentation design for data driven decision making.
- Translate complex data and analytical outputs into compelling narratives that are understandable and actionable for day-to-day client stakeholders
- Act as a reliable point of contact for strategic data questions, managing project timelines and keeping stakeholders informed
- Mentor and coach junior analysts and specialists, run training sessions, and support their growth and skill development
- Contribute to the team's knowledge base by sharing expertise, best practices, and innovative approaches
- Understand and contribute to commercial health, identifying growth opportunities and supporting scoping and pre-sales activities
- Proactively identify and deliver insights and strategic recommendations that go beyond reporting to drive measurable business value
Benefits
- We are open to hiring candidates in our various office locations across the United States.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
Number of Employees
501-1,000 employees
