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Senior Data Analyst

Skills
SQLData AnalysisMarketing AttributionPerformance MarketingPythonRSAS
Role

What the job involves

The main requirements, responsibilities and hiring steps.

Requirements

  • Bachelor’s degree in a quantitative business marketing or consumer research discipline.
  • 5+ years of experience analyzing identifying and/or optimizing drivers of marketing performance preferably in a DTC Subscription business.
  • Ability to measure the effectiveness of acquisition and retention marketing programs and activities.
  • Familiarity with different attribution models and the impacts on channel performance.
  • Experience in identifying underlying customer behavioral hypotheses based on web performance analytics and trends.
  • Expertise in manipulating and blending qualitative and quantitative data and working with transactional customer data to derive analytical insights using tools & techniques such as e.g. SQL SAS R Python.
  • Experience with common Sheets tools such as Excel & Google Sheets.
  • Ability to synthesize and translate in-depth data (online/offline) into analytic insights and compelling stories that elevate understanding and drive actions and decision-making.
  • Strong analytical and problem-solving skills.
  • Strong interpersonal and communication skills across a variety of different partners including non-quantitative discussions.
  • Comfortable balancing multiple projects simultaneously and dealing with ambiguity in a fast-paced hypergrowth environment.

Nice to have

  • Performance Marketing
  • Courageous
  • Data-Driven
  • Good Human
  • Collaborative

Day to day

  • Analyse performance of acquisition and retention marketing programs finding the root cause of performance issues and providing recommendations on how to resolve and optimise performance.
  • Using existing frameworks conduct analysis of marketing investments to recommend the optimal budget allocations between channels markets and specific campaigns.
  • Utilize Google Analytics to identify conversion trends and opportunities through landing pages and the conversion funnel.
  • Analyse the impacts of LTV retention and customer engagement on key business outcomes.
  • Provide data-driven insights to the marketing teams and leadership supporting day-to-day operations business reviews and strategic decision-making.
  • Bring visibility to complex data findings by building dashboards and reports.
  • Develop marketing-focused data models and reporting automations within Snowflake and DBT.