Job Description

Summary

The Team

The growth analytics team will set up measurement frameworks to help standardize output and give marketers a frame of reference on how to understand their execution via the lens of causal inference and incrementality. As a whole, this analytics team has to rely on creativity and problem solving on a day to day basis while being close to business KPIs and outcomes. Kraken is small enough where the impact of our work can be felt at all levels and our output can impact strategy as a whole.

Examples of this in our team are creating and operationalizing MMM, being central to the creation of the annual operating plan (AOP), developing a measurement framework for lifecycle marketing, and developing a measurement framework to understand acquisition in a holistic manner.

As the team grows and develops, our future goals would include moving from descriptive analytics to prescriptive analytics (LTV/Segmentation/Propensity), leveraging relationships with product analytics to create a full funnel narrative, and utilizing our current foundation to help marketing expand the scale of spend in a meaningful manner.

The Opportunity

  • Helping the acquisition team understand areas of opportunity and scale

  • Solving complex problems involving CAC, ARPU, LTV in the context of paid acquisition

  • Creating and building dashboards and tools to help scale our understanding of acquisition

  • ETL and Pipeline maintenance

  • Interpret and operationalize MMM

  • Ad hoc investigation of anomalies and trends

Skills You Should HODL 

  • 2-3 years of working in marketing or growth analytics organizations

  • 2-3 years of background in paid performance and acquisition

  • Worked in growth focused companies (include Fintech, tech startups, big tech, pre-ipo companies)

  • Background could include marketing analytics, BI-Analyst, business analytics, growth analytics, marketing decision science, and marketing data scientist

  • Technology includes strong Google Analytics experience, advanced SQL and Python for coding, and experience creating dashboards via visualization technologies (Tableau, Superset, Looker, etc)

  • A/B Testing

Skills
  • Analytical Thinking
  • Google Analytics
  • Growth Marketing
  • Marketing
  • Problem Solving
  • Python
  • SQL
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