Senior Manager of Business Intelligence

Employment Type: [Not Specified] Location Type: Hybrid (2 days in office per week in San Francisco or New York City offices) Salary: [Not Specified]

About Taskrabbit

Taskrabbit is a marketplace platform that conveniently connects people with Taskers to handle everyday home to-dos, such as furniture assembly, handyman work, moving help, and much more.

At Taskrabbit, we want to transform lives one task at a time. As a company, we celebrate innovation, inclusion, and hard work. Our culture is collaborative, pragmatic, and fast-paced. We’re looking for talented, entrepreneurially minded, and data-driven people who also have a passion for helping people do what they love.

Together with IKEA, we’re creating more opportunities for people to earn a consistent, meaningful income on their own terms by building lasting relationships with clients in communities around the world.

Taskrabbit is a remote-first company with employees distributed across the US and EU.

Awards and Recognition:

• 5-time Best Places to Work in 2022 by BuiltIn (including Best Companies in SF, Best Mid-Sized Companies, and Best Benefits)
• DataBird journal’s “Best Places” Best Companies for Diversity, #1 2019 and 2020
• DataBird journal’s “Best Places” Best Companies for Women, #4 2019 and #1 2020

Join us at Taskrabbit, where your work will be meaningful, your ideas valued, and your potential unleashed!

About the Team

The Business Intelligence team is responsible for leading company-wide business insights while creating an environment of trusted resources that lead to better data-driven decisions. The team focuses on enterprise-level reporting and visualizations, analyzing business performance, and driving strategic recommendations. Our goal is to empower our end-users to make informed business decisions by providing access to trusted and reliable data.

About the Role

Taskrabbit is seeking a Senior Manager of Business Intelligence to lead a high-performing team focused on transforming data into actionable insights across the business. In this role, you will shape the analytical roadmap, identify key growth and optimization opportunities, and influence initiatives across the company. You will partner closely with our Regional Leadership, Marketing, Finance, Taskers Operations, Partnerships, and Customer Service teams to drive the adoption of scalable data models, reporting solutions, and actionable insights. The ideal candidate has a strong blend of technical expertise, business acumen, and leadership skills.

Join us in transforming lives, one task at a time.

What You'll Work On

• Lead and mentor a high-performing team of analysts, fostering a culture of curiosity, accountability, and innovation.
• Partner with senior leadership to frame complex business problems, develop OKRs, and guide data-informed decision-making.
• Collaborate with stakeholders across Regional Leadership, Marketing, Finance, Taskers Operations, Partnerships, and Customer Service to build dedicated data models and reporting that support critical business processes and goals.
• Translate complex data into clear, compelling visualizations and narratives for executive audiences (primarily in Sigma).
• Establish and promote best practices, standards, and design principles across the team.
• Create a strategic roadmap for the business intelligence team and guide the team toward implementation.
• Oversee the development and automation of scalable reporting frameworks to improve operational efficiency and strategic visibility.
• Champion data governance and integrity by working closely with the engineering, product, and finance teams to ensure accuracy, accessibility, and consistency of data assets, while managing business definitions and technical logic.
• Partner closely with Data Leaders, including Data Engineering and Data Science, to improve foundational data models that support analytics and reporting, and establish best practice procedures in creating data models within our warehouse and visualization tools.
• Stay current with emerging trends and technologies in business intelligence and data analytics.

Requirements: [Not Specified] Application Instructions: [Not Specified]