Data Insights Strategist

Há 3 dias


Lisboa, Lisboa, Portugal Tillster Tempo inteiro

**The Role:**
The Business Intelligence Manager will be responsible for leading our Data Analytics team and developing data-driven strategies that drive business growth and improvement. This role will work closely with cross-functional teams to define and implement data collection strategies and develop insights that inform business decisions.

**Key Responsibilities:**

  • Lead and mentor a high-performing analytics team, fostering professional growth and driving innovation by integrating AI-driven solutions and evaluating buy vs. build options.
  • Design and communicate complex data insights to stakeholders, ensuring data-driven strategies align with business and customer objectives.
  • Collaborate in defining the data collection strategy and be the lead subject matter expert in Google Analytics.
  • Champion the design, implementation, and analysis of A/B tests to optimize customer experiences and drive business performance.
  • Support ad hoc data analysis for Tillster customers, executives, and other stakeholders to surface patterns in the data and identify areas to improve KPIs (engagement, average check, coupon usage, loyalty usage, conversions, orders, etc.).
  • Develop and update dashboards for business stakeholders such as Marketing, Product, Finance, Engineering, Account Management, and Support/Operations.

**Responsibilities:**

  • Lead a high-performing analytics team.
  • Design and communicate complex data insights.
  • Define and implement data collection strategies.
  • Implement A/B tests to optimize customer experiences.
  • Support ad hoc data analysis for stakeholders.
  • Develop and update dashboards for business stakeholders.

**Requirements:**

  • 3+ years as a hands-on manager, leading a Data Analytics team in a fast-paced environment.
  • 5+ years of experience with data analytics, including the use of BI tools such as Looker or Tableau to drive business outcomes.
  • Bachelor's degree or higher in Data Science/Analytics, Computer Science, Statistics, Mathematics, Economics, or related field.


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