Senior Data Analyst

Posted 77ds ago

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Job Description

Senior Data Analyst at Felix enhancing healthcare accessibility through analytics. Building data models to support marketing efforts and customer lifecycle analysis.

Responsibilities:

  • Serve as a technical expert and end-to-end owner on marketing data sources, analytics infrastructure, data models, and analysis and measurement methodologies.
  • Build, maintain, and interpret acquisition measurement frameworks, including multi-touch attribution, Markov Chain / advanced attribution models, and other channel performance metrics.
  • Design, implement, and analyze A/B tests and incrementality experiments for product features, marketing campaigns, and UX optimizations.
  • Evaluate ROI across paid and organic acquisition channels and refine performance metrics over time.
  • Develop, maintain, and scale in-house multi-touch attribution (MTA) models and media mix models (MMM)
  • Identify key audience segments within our customer base and across our verticals of care using metrics such as LTV, cross sell %, etc
  • Lead the development and maintenance of DBT data models and orchestrations, ensuring accuracy, modularity, and performance optimization
  • Create automated, self-serve dashboards and reporting solutions that empower stakeholders to explore key metrics
  • Collaborate with Product, Marketing, Finance, and Engineering to translate business questions into analytical tasks, interpreting results for both technical and non-technical audiences.

Requirements:

  • 5+ years of experience in data roles
  • Strong SQL skills; must be able to write, review, and enhance SQL queries with a focus on code performance
  • Advanced expertise in DBT for data modeling and orchestration
  • Strong version control skills with Git
  • An understanding of the marketing business domain, particularly applications such as multi-touch attribution (MTA) and media mix models (MMM)
  • Extensive knowledge of marketing metrics, platforms, and APIs (e.g. Google Analytics, Meta Ads, Google Ads, etc.)
  • Familiarity with statistical experimentation and A/B testing principles
  • Strong project management and communications skills, with a results-oriented mindset

Benefits:

  • Full medical, dental and vision benefits
  • Maternity/paternity policy
  • 4 weeks vacation (3 weeks anytime + 1 week during the holidays)
  • Competitive compensation
  • Stock option grant
  • Remote first, work from anywhere in Canada
  • Professional development opportunities, working closely with founders and the senior leadership team