Descripción de la oferta
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 portfolioFocused on people management and team leadership, this role requires a strong analytical foundation to support analysts and guide complex workYou 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 partnersA 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 opportunitiesYou 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 impactSuccess 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 managementLead 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 successSet 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 workDevelop 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 impactPartner Cross-Functionally: Serve as the primary analytics partner for key stakeholders across Product, Engineering, Marketing, and Data, ensuring strong alignment, clear communication, and effective deliveryChampion 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 judgmentEnsure High-Quality Insight Delivery: Provide analytical guidance and oversight on analyses, reporting and experimentation so the team delivers accurate, actionable, and decision-ready insightsNavigate 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 environmentBenefits20 weeks of parental leave4 weeks of paid caregiver leaveUp to 4 weeks of remote work per year1 paid volunteer day annually$700 caregiver reimbursementHeadspace emotional wellness membershipFinancial rewards for well-being activitiesClassPass fitness and wellness membershipStrong people management skills, with experience giving feedback, supporting performance, and helping individuals grow in scope and capabilityA BS in a quantitative field such as Statistics, Computer Science, Economics, Mathematics, or equivalent practical experienceExpertise 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 audiencesExperience using AI tools such as Copilot, Claude Code, or OpenAI products to improve productivity and analytical workflows is a plusExperience partnering cross-functionally with Product, Engineering, and Marketing teams to influence prioritization and business outcomesStrong 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 problems6+ years in data analytics, business analytics, or data science, including meaningful experience managing, coaching, or developing analystsDemonstrated success leading teams, setting priorities, and driving execution across multiple high-impact workstreams, while maintaining high analytical standardsAdvanced proficiency in SQL and strong working knowledge of Python or R for large-scale data analysis and statistical interpretation
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