What are the responsibilities and job description for the Senior Analytics Manager position at Stott and May?
Job Description
Senior Analytics Manager
We are seeking a Senior Analytics Manager to build and lead company-wide analytics initiatives. This role partners closely with multiple teams, including Product, Business, Machine Learning, and Data Engineering, to ensure data-driven decision-making across the organization. The ideal candidate has experience leading analytics teams in high-growth, hands-on environments and leveraging modern data tools to deliver actionable insights across the business.
Key Responsibilities
Senior Analytics Manager
We are seeking a Senior Analytics Manager to build and lead company-wide analytics initiatives. This role partners closely with multiple teams, including Product, Business, Machine Learning, and Data Engineering, to ensure data-driven decision-making across the organization. The ideal candidate has experience leading analytics teams in high-growth, hands-on environments and leveraging modern data tools to deliver actionable insights across the business.
Key Responsibilities
- Team Leadership: Manage, mentor, and grow a team of analysts and data scientists, fostering a culture that balances creativity, speed, and analytical rigor.
- Analytics Roadmap: Develop and own the analytics strategy, identifying high-impact projects aligned with organizational goals.
- Strategic Projects: Lead and execute complex analytics initiatives that drive measurable business outcomes.
- Tools & Best Practices: Select analytics tools and establish best practices for their use across the organization.
- Data-Driven Culture: Empower teams with self-serve dashboards, reporting, and insights to support informed decision-making at all levels.
- 3 years of experience managing an analytics or data science team, ideally in a B2C tech or high-growth environment.
- Hands-on leadership style, comfortable contributing directly to projects (~50% individual contributor work).
- Strong experience with modern BI/data visualization tools (e.g., Looker, Omni) and experimentation/A-B testing platforms (e.g., Eppo, Optimizely, LaunchDarkly, Statsig).
- Expertise in SQL and statistics; proficiency in Python or R is a plus.
- Excellent communicator with the ability to explain complex analytical concepts clearly in both verbal and written form.