Sr. Manager - Data Analytics

At Pinterest, our People Insights, Technology & Analytics team partners with leaders across the company to harness data-driven insights that drive key people decisions and support business outcomes. As the Senior Manager of Data Analytics, you’ll lead a team of highly collaborative consulting partners who analyze people data to inform organizational health insights and support measurement strategies for People Team programs. 

In this highly collaborative role, you’ll work closely with HR and business leaders to identify opportunities and deliver actionable insights by analyzing people data, measuring program effectiveness, and supporting listening strategies. You’ll be responsible for delivering enterprise-level organizational health metrics to executives and combining qualitative and quantitative analysis to understand organizational trends, opportunities, and risks.

What you’ll do:

• Establish and evolve the People Analytics vision, roadmap, and key projects—balancing short-term deliverables with the design and foundation for long-term, advanced analytics capabilities.

• Provide thought leadership on data’s role in optimizing the employee lifecycle, organizational health, and People Team programs, including supporting listening strategies.

• Oversee advanced analysis of people and business data function; combining qualitative and quantitative approaches to answer key workforce questions and advise on business decisions.

• Collaborate with our BI team to apply a product-oriented approach to designing, launching, and scaling repeatable data products such as dashboards, outcome-based analytics, and self-service reporting tools that prioritize quality, efficiency, and measurable business impact.

• Advise and deliver compelling data visualizations and craft clear data storytelling to effectively communicate insights, influence executive decisions, and build this capability in others.

• Build additional capacity and analytics proficiency within the People team by sharing best practices, developing frameworks, and nurturing analytics skills across the function.

• Collaborate cross-functionally with our data engineering team to maintain and evolve a robust data warehouse and scalable technical solutions that support analytics goals.

• Establish and uphold governance, compliance, and ethical practices in managing people data by working closely with legal, compliance, and security functions.

• Provide enterprise-level reporting and organizational health insights to executives and organizational leaders in support of business objectives.

What we’re looking for

• 8+ years of combined experience in HR, people analytics, data science/business intelligence or other related disciplines, including at least 2 years in a management or lead role, with tech experience scaling up a people analytics team highly desirable.

• You have a Bachelor’s Degree or equivalent practical experience.

• Excellent analytical skills with experience turning data into actionable insights and narratives as well as scaling analytic solutions into repeatable product offerings.

• Knowledge of SQL and Python or R; experience with Workday and other business intelligence tools such as Tableau.

• Well versed in workforce data analysis and HR metrics, including market trends driving the future growth of people analytics functions.

• Experience collaborating across multiple stakeholder groups, communicating with diverse audiences, and balancing/negotiating priorities.

• Strong project management capabilities, managing multiple project streams and priorities.

Relocation Statement:

• This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.

 In-Office Requirement Statement:

• We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection.

• This role will need to be in the office for in-person collaboration 1-2 times per half, and therefore can be situated anywhere in the country. 

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