Marketing Data Analytics Manager, O Positiv

• 5+ years of experience in analytics, data science, or marketing science roles
• Strong SQL skills and proficiency in Python or R for statistical analysis
• Deep understanding of digital and retail media measurement methodologies (MTA, MMM, geo testing, incrementality)
• Hands-on experience with ecommerce or DTC brand analytics preferred
• Familiarity with data visualization tools (esp. Sigma) and working directly in Snowflake is a plus
• Highly analytical with a hypothesis-driven mindset
• Strong communicator with the ability to simplify complex analyses
• Independent and self-motivated, yet knows how to collaborate and ask for input where it matters
• Business-minded: focused on delivering insights that drive decisions, not just analysis
• Strategic thinker with a bias for action and a passion for learning

Desirable

• O Positiv is seeking a sharp, business-minded Marketing Analytics Manager to elevate our marketing measurement and performance strategy across digital and retail channels
• This role will be instrumental in developing and scaling robust frameworks for attribution, experimentation, and ROI analysis
• You’ll own initiatives that directly influence media investment decisions, growth strategies, and channel optimization
• You’ll report directly to the VP of Ecommerce and Digital and collaborate closely with performance marketing, lifecycle, retail, ecommerce, finance, and data engineering
• This is not just a data role—we’re looking for someone who can think strategically, connect analytical outputs to broader business context, and turn complex data into clear, actionable insights that drive results
• The ideal candidate will combine technical depth with a strong sense of ownership, curiosity, and business acumen
• You should be energized by solving real-world problems, comfortable working autonomously, and capable of navigating ambiguity—while knowing when to ask for help or seek alignment
• Own the end-to-end measurement framework, including data ingestion, analysis, experimentation, and insight generation
• Drive performance improvements across paid media and retention channels through thoughtful testing, modeling, and deep dives
• Lead all marketing measurement methodologies, including multi-touch attribution (MTA), marketing mix modeling (MMM), and incrementally testing (geo testing, holdouts, etc.)
• Collaborate cross-functionally to develop hypotheses, prioritize experimentation, and deliver impactful learnings that drive decision-making
• Partner directly with platform reps (Meta, Google, Amazon, etc.) to align on success metrics and continuously improve media ROI
• Synthesize and present findings clearly to both technical and non-technical stakeholders
• Contribute to the development of dashboards and reporting tools that make data accessible and actionable