VP of Data Analytics

As the VP of Data Analytics at Fetch, your primary responsibilities will include unifying data analytics efforts across the company, mentoring a team of analysts, expanding self-service analytics capabilities, and collaborating cross-functionally with various teams to drive data-informed decisions. You'll focus on developing frameworks for advanced analytics and A/B testing to enhance business performance.

To excel as the VP of Data Analytics at Fetch, candidates should possess over 10 years of experience in data analytics or business intelligence, proven leadership skills in high-growth, data-driven environments, and a strong technical foundation in tools like SQL, Snowflake, and Python. A background in ad tech, e-commerce, or mobile apps is also essential.

Fetch strongly believes in the growth of its employees, offering educational reimbursement of up to $10,000 per year. As the VP of Data Analytics, you’ll also have the opportunity to mentor a skilled team, encouraging continuous learning and professional development while leading innovative analytics projects.

The culture at Fetch is vibrant and people-first, emphasizing trust, accountability, and innovation. As the VP of Data Analytics, you’ll enjoy a collaborative environment where your ideas are valued, and you are encouraged to challenge norms while remaining focused on driving data effectiveness throughout the organization.

Fetch offers a comprehensive benefits package which includes equity for all employees, 401k matching, robust medical and dental plans for you and your family, flexible PTO, and generous parental leave. Additionally, you'll enjoy a supportive work environment whether you choose to work remotely or in one of our stylish offices.

To effectively lead a data analytics team in a high-growth environment, focus on building a strong, collaborative culture where each team member feels empowered to contribute. Mentorship is key; guide your team by establishing clear objectives, providing regular feedback, and fostering innovation in analytics solutions.

Discuss your hands-on experience with various BI tools and analytics stacks, emphasizing your familiarity with SQL, Snowflake, and data visualization tools. Illustrate how you've used these tools to derive insights from data that drove business decisions in past roles.

For effective collaboration between analytics and other departments, it’s essential to establish open communication channels and regular meetings. Share insights that directly impact their functions, such as marketing performance and user engagement metrics, to ensure everyone is aligned and informed.

Promoting a culture of experimentation requires encouragement and structured frameworks for testing and learning. Share successful examples where A/B testing resulted in significant insights and decision-making, fostering an environment where team members feel safe to innovate and iterate on their ideas.

When faced with challenges in analytics, such as data quality issues or integration obstacles, I prioritize diagnosing the root cause, collaborating with cross-functional teams, and implementing improved processes or tools to ensure accurate and reliable analytics delivery.

Share a specific instance where you led an initiative that shifted your team's focus from completing tasks to using data insights for strategic business outcomes. Detail the steps taken to align team goals with company objectives and the impact this had on decision-making.

I regularly attend industry conferences, engage with online analytics communities, and follow thought leaders in data analytics. Staying current on trends allows me to implement innovative solutions and maintain Fetch's competitive edge in data-driven decision-making.

My experience with data governance includes establishing protocols for data integrity, ensuring compliance with regulations like GDPR, and collaborating with legal teams to develop data usage policies that protect user privacy while allowing for insightful analysis.

To communicate complex analytics findings, I utilize clear and concise visuals, such as dashboards, and focus on translating data insights into actionable recommendations. Use analogies when necessary to make concepts relatable and easier to understand for non-technical audiences.

Mentorship is central to my leadership style; I believe in fostering growth by being accessible, offering constructive feedback, and encouraging team members to develop their own problem-solving skills. I take pride in seeing my team thrive and contribute effectively to the organization's goals.