Data Analytics Manager

Accountabilities:

• Lead, coach, and develop a team of Data Analysts, helping them strengthen analytical judgment, technical methods, communication, and ownership.
• Participate in hiring and assessment of future analytics team members, identifying candidates with strong technical, business, and interpersonal capabilities.
• Own the quality and effectiveness of analytical work, providing guidance on methodology, rigor, assumptions, communication, and practical conclusions.
• Improve scalable data practices, including work prioritization, review processes, knowledge sharing, quality standards, and cross-functional collaboration.
• Guide the team as it evolves from broad shared context toward meaningful specialization across products, regions, systems, and business functions.
• Remain hands-on with analytical work, including SQL, data modeling, deep analysis, dashboards, and internal data products.
• Help teams identify the underlying business need behind analytical requests and determine the appropriate level of data and analysis required.
• Partner with stakeholders across the organization to translate ambiguous business questions into actionable insights and high-value analytical projects.
• Contribute to the evolution of data practices and workflows in response to the growing impact of AI on analytics, self-service data, and internal decision-making.
• Promote thoughtful, transparent, and accessible use of data while balancing quantitative evidence with qualitative context, user understanding, and sound judgment.
• Help a lean analytics function scale effectively as the organization becomes more complex and data demand increases.

Requirements:

• Extensive experience in data analytics, business intelligence, analytics leadership, or a closely related field, preferably within a high-growth, product-oriented technology company.
• Proven experience managing, leading, coaching, or functionally guiding data practitioners; formal people-management experience is valuable but equivalent leadership experience may also be considered.
• Exceptional analytical judgment, with the ability to calibrate the depth and rigor of analysis according to the decision and level of uncertainty involved.
• Deep hands-on SQL experience and strong familiarity with modern cloud data warehouses and analytical data environments.
• Working fluency with dbt-style data modeling, data transformation, and BI or data visualization tools.
• Ability to work across the analytical data stack, from raw and modeled data through analysis, dashboards, and data products.
• Strong written and visual communication skills, including the ability to create clear narratives, tables, charts, definitions, and conclusions without overstating certainty.
• Strong business acumen and a product-oriented mindset, with the ability to uncover the core need behind requests and turn ambiguous questions into useful outcomes.
• Experience building or improving processes that enable a small, high-performing team to prioritize effectively and deliver quality work at scale.
• Pragmatic and intellectually flexible approach to decision-making, understanding when data is valuable and when other forms of evidence or reasoning may be more appropriate.
• Strong collaboration skills and the ability to build effective relationships with stakeholders across different functions.
• Comfort operating in an environment where priorities evolve quickly and where simplicity, ownership, autonomy, and sound judgment are highly valued.
• Interest in the evolving role of AI in analytics, data accessibility, analytical workflows, and business decision-making.

Benefits:

• Competitive salary and equity.
• 10-year exercise window for stock options.
• Unlimited paid time off, with an emphasis on taking meaningful time away from work.
• Minimum of 12 weeks of fully paid parental leave, with potentially longer leave outside the US depending on local requirements.
• Generous budget for equipment, software, and home office furniture.
• $100/month education budget, with additional support for higher-cost learning opportunities such as conferences subject to manager approval.
• For US employees, high-quality health insurance for employees and dependents, with 100% of premiums covered.
• For employees outside the US, supplemental health insurance for employees and dependents, fully covered.
• Remote-first work environment with employee hubs and opportunities to meet in person throughout the year.
• An environment focused on autonomy, continuous learning, meaningful challenges, and high-impact work.