Manager, Measurement Strategy

Brainlabs
$70,000 - $105,000Hybrid

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
  • Ability to translate 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
  • 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 hire candidates across our US office locations and at varying levels of experience. Our posted salary ranges reflect differences in both location and experience, with final compensation determined once a candidate’s background and location are confirmed.
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