BI Manager

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🕒 July 2

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Thomson Reuters

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 2008

💸 Finance

📱 Media

☁️ SaaS

Finance • Media • SaaS

Thomson Reuters is a global content and technology company that provides professionals with reliable and accurate solutions across the legal, tax and accounting, international trade, and risk management sectors. The company offers a range of products including legal research tools, tax preparation software, compliance and regulatory solutions, and media services like Reuters for global news. With significant investments in generative AI, Thomson Reuters continues to innovate in helping professionals optimize their workflows and enhance their decision-making. Their platforms serve various industries such as law firms, corporations, tax professionals, and media organizations, providing essential tools that combine powerful technology with in-depth expert content.

📋 Description

• Lead the development and maintenance of executive dashboards for growth, revenue, product, and digital channels • Conduct cohort analyses, conversion funnel analysis, and customer journey mapping for each product in the B2B portfolio • Develop customer segmentation models, including credit propensity, churn risk, and cross-sell potential • Produce competitive intelligence reports and market benchmarks to support strategic decisions by the Board • Ensure the quality, consistency, and governance of data used in growth and business analyses • Define and document metrics, concepts, and KPIs used by the Board • Act as a business partner to growth and product squads, participating in planning and review rituals

🎯 Requirements

• Experience in Business Intelligence, Analytics, or Data Science, with consistent leadership experience • Experience in the financial sector (banking, fintech, acquirer, insurer) is strongly preferred • Advanced SQL proficiency and experience with at least one visualization tool (Power BI, Tableau, Looker, or Metabase) • Knowledge of statistical modeling and business-applied machine learning concepts (not necessarily advanced coding) • Experience with modern data platforms: dbt, BigQuery, Snowflake, Databricks, or similar • Familiarity with growth metrics (CAC, LTV, churn, ARPU, cohorts, AARRR funnel) • Degree in Statistics, Mathematics, Computer Science, Economics, or Engineering; postgraduate degree is a plus

🏖️ Benefits

• Hybrid Work Model: We embrace a hybrid and flexible work environment (2–3 days per week in the office, depending on the role) • Flexibility and Work–Life Balance: "Flex My Way" is a set of policies designed to help manage personal and professional responsibilities • Professional Development and Growth: We foster a culture of continuous learning and skills development • Competitive Industry Benefits: We offer comprehensive benefits packages including medical and dental coverage, two corporate mental health days, performance-based incentive programs, and resources for mental, physical, and financial well-being • Social Impact: Make a difference in your community through our Social Impact Institute