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BI & Strategic Analytics Lead (m/f/d)

Hilobyaktiia · schweiz

Responsibilities

  • Design, develop and continuously evolve dashboards, KPI frameworks and self-service analytics capabilities.
  • Deliver timely, accurate and actionable insights that support operational and strategic decision making.
  • Collaborate with business leaders to identify analytical opportunities and define reporting requirements.
  • Drive adoption and continuous improvement of reporting and analytics tools across the organisation.
  • Monitor and enhance reporting performance, usability, and stakeholder satisfaction.
  • Define and execute the company's Business Intelligence strategy and roadmap.
  • Own, maintain, and continuously evolve the company's BI platform (Metabase) as the central source of truth.
  • Establish BI standards, governance frameworks, and best practices.
  • Champion a data-driven culture across the organisation.
  • Partner with the Operations to analyse customer acquisition, onboarding, engagement, retention, churn, monetisation, and lifetime value.
  • Deliver actionable insights that inform commercial strategy, resource allocation, pricing decisions, and business prioritisation.
  • Partner with leadership on strategic analyses, forecasting, scenario modelling and performance reviews.

Requirements

  • Proven experience leading Business Intelligence, Analytics, or Data Management initiatives in a fast-paced, data-driven environment.
  • Bachelor’s degree in Data Analytics, Computer Science, Information Systems, Statistics, Business, or a related field.
  • Proven experience building scalable Business Intelligence solutions using platforms such as Metabase, Power BI, Tableau or similar.
  • Proficiency in SQL and data modeling concepts.
  • Experience working with data warehouses and cloud platforms (Snowflake, BigQuery, Redshift, Azure Synapse, etc.).
  • Strong understanding of ETL/ELT processes and data pipelines.
  • Excellent communication and stakeholder management skills.

Nice to have

  • Master’s degree in a relevant field.
  • Experience with modern data stack technologies.
  • Knowledge of Python or R for advanced analytics.
  • Experience in Agile project management environments.
  • Relevant certifications (Metabase, Power BI, Tableau, Snowflake, Azure, AWS, etc.).

What the company offers

  • Competitive compensation and equity program, and other benefits (depending on location).

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