D
Dow Jones
Data Analytics Manager
Skills
SQL QueriesLookerTableauPythonData ScienceData VisualizationRData AnalysisAIWorkday
2 months ago
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Important information
Salary:
€60,000 – €80,000 / year
Location:
Barcelona, Spain
Work mode:
Onsite
Published on:
4 September 2026
What they need
Who you are
- 6+ years in data analytics, business analytics, or data science, including meaningful experience managing, coaching, or developing analysts
- Demonstrated success leading teams, setting priorities, and driving execution across multiple high-impact workstreams, while maintaining high analytical standards
- Strong people management skills, with experience giving feedback, supporting performance, and helping individuals grow in scope and capability
- Strong experience applying analytics to digital subscription products, customer lifecycle measurement, engagement analysis, and high-traffic digital experiences, with the ability to coach others through complex analytical problems
- Advanced proficiency in SQL and strong working knowledge of Python or R for large-scale data analysis and statistical interpretation
- Expertise in data visualization and BI tools such as Tableau, Looker, or similar platforms, with the ability to help teams communicate complex findings clearly to technical and non-technical audiences
- Experience partnering cross-functionally with Product, Engineering, and Marketing teams to influence prioritization and business outcomes
- Experience using AI tools such as Copilot, Claude Code, or OpenAI products to improve productivity and analytical workflows is a plus
- A BS in a quantitative field such as Statistics, Computer Science, Economics, Mathematics, or equivalent practical experience
What the job involves
- As an Analytics Manager, you will report into the Sr Analytics Director and lead a team of analysts supporting high-impact B2C initiatives across the Dow Jones portfolio
- Focused on people management and team leadership, this role requires a strong analytical foundation to support analysts and guide complex work
- You will set priorities, develop talent, ensure strong execution, and lead a high-performing team delivering clear, reliable, actionable insights to Product, Engineering, Marketing, and Data partners
- A primary focus of this role will be coaching and growing analysts, shaping team processes, and ensuring the team is aligned to the most important business opportunities
- You will help define analytical standards, guide the team through ambiguity, and partner with stakeholders to ensure work is well scoped, high quality, and tied to business impact
- Success in this role will come from strong people leadership combined with a deep analytical background, sound judgment, and the ability to extend the team’s impact through hands-on guidance and scalable management
- Lead and Manage a Team of Analysts: Directly manage, coach, and develop a team of analysts, providing regular feedback and growth opportunities that support individual development and team success
- Set Priorities and Drive Team Execution: Translate business goals into a clear team roadmap, allocate resources across competing requests, and ensure the team is focused on the highest-impact work
- Develop Talent and Build Team Capability: Foster a strong culture of learning and accountability by mentoring analysts, supporting career development, and helping the team continue to grow in scope and impact
- Partner Cross-Functionally: Serve as the primary analytics partner for key stakeholders across Product, Engineering, Marketing, and Data, ensuring strong alignment, clear communication, and effective delivery
- Champion AI-Enabled Analytics: Encourage thoughtful use of AI tools to improve team productivity, analytical workflows, and the speed and quality of insight generation, while maintaining strong analytical standards and judgment
- Ensure High-Quality Insight Delivery: Provide analytical guidance and oversight on analyses, reporting, and experimentation so the team delivers accurate, actionable, and decision-ready insights
- Navigate Complexity and Remove Roadblocks: Help the team solve ambiguous business problems, apply strong analytical judgment to complex questions, manage stakeholder expectations, and unblock work in a fast-paced environment
Benefits
- 20 weeks of parental leave
- 4 weeks of paid caregiver leave
- Up to 4 weeks of remote work per year
- 1 paid volunteer day annually
- $700 caregiver reimbursement
- Headspace emotional wellness membership
- ClassPass fitness and wellness membership
- Financial rewards for well-being activities
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