Data Strategist

7 days ago

Copenhagen, Copenhagen, Denmark Trustpilot Full time

About the Role

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  • We are seeking a highly skilled Data Strategist to join our team at Trustpilot. As a key member of our analytics team, you will be responsible for developing and implementing data-driven strategies that drive business growth.
  • Your primary focus will be on conducting in-depth analyses to understand user behavior, identify opportunities for product improvement, and measure the impact of product changes.
  • You will work closely with cross-functional teams, including product managers, engineers, and designers, to translate data insights into actionable recommendations that influence product roadmap and development.
  • A key aspect of this role is building and maintaining data infrastructure, including developing and maintaining dashboards, reports, and other data visualizations in Looker and Amplitude.
  • You will also design and analyze A/B tests to evaluate the effectiveness of new features and product enhancements, ensuring data-driven decisions are at the core of product development.
Responsibilities
  • Drive product strategy with data: Conduct in-depth analyses to understand user behavior, identify opportunities for product improvement, and measure the impact of product changes.
  • Promote data-driven decision-making: Collaborate closely with product managers, engineers, and designers to translate data insights into actionable recommendations that influence product roadmap and development.
  • Build and maintain data infrastructure: Develop and maintain dashboards, reports, and other data visualizations in Looker and Amplitude to track key product metrics and provide ongoing visibility into product performance.
  • Conduct in-depth experimentation: Design and analyze A/B tests to evaluate the effectiveness of new features and product enhancements, ensuring data-driven decisions are at the core of product development.
About You
  • You have prior experience working with key analytical and statistical methodologies, including cohort analysis, A/B testing, and model-based analyses (regression, clustering, etc.).
  • You are skilled in data visualization and reporting, having built insightful dashboards and reports using BI/product analytics tools such as Looker and Amplitude.
  • You possess proficient SQL skills and some experience in DBT. You're comfortable working with scripting languages like Python or R for data analysis.

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