Brainlabs-posted 3 days ago
$70,000 - $98,000/Yr
Full-time • Mid Level
1,001-5,000 employees

As a Manager, Data Analytics & 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.

  • Independently deliver exploratory and diagnostic analyses with clear acceptance criteria, applying peer-reviewed analytical methods
  • Own dashboard and reporting development in Looker, Power BI, or Tableau, creating concise narratives and compelling visualizations that prompt business decisions
  • Lead development and delivery of high-impact client-facing analysis deliverables that contribute to scaling media or elevate our status as a strategic partner
  • Perform data validation, QA, cleaning, feature engineering, and transformations to ensure data accuracy and reliability
  • Utilize advanced SQL, Python, or R techniques for complex data manipulation and analysis
  • Apply machine learning and regression analysis techniques, evaluating results and comparing different models through hypothesis testing
  • Assist in test design, tracking, and readouts for experimentation initiatives
  • Maintain project management hygiene with clear documentation and runbooks
  • Progress certifications (including AI-related learning) and share learnings with the team
  • Has 2-5 years of experience in data analytics, business intelligence, or a related field
  • Demonstrates strong proficiency in SQL and at least one programming language (Python or R)
  • Has hands-on experience with modern BI tools such as Looker, Tableau, or Power BI
  • Possesses a solid foundation in statistics and data science methodologies, including regression analysis and ML fundamentals
  • Can translate complex analytical findings into clear, actionable insights for both technical and non-technical audiences
  • Excels at working independently while collaborating effectively across teams
  • Is detail-oriented with excellent project management and documentation skills
  • Has experience in digital marketing analytics, media measurement, or performance marketing (preferred)
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