Director of Strategy and Analytics
Tava Health
PythonSQLTableau
Job Level
Mid-LevelSenior
Tech Stack
PythonSQL
About the role
- Lead analytics investigations and special projects for the Supplier Organization, collaborating with cross-functional partners to define requirements, develop statistical models, and deliver insights that shape brand, merchandising, and category strategies.
- Design and execute advanced analytics models and tools — such as assortment clustering — to inform strategic decision making
- Manage the analytics intake and prioritization process, ensuring alignment with business objectives and visibility into project status.
- Define, design, and develop dashboards and reports for key metrics and KPIs, using BI tools and data languages to drive performance visibility.
- Build and maintain supplier reporting, including dashboards and data shares, to strengthen supplier relationship management and joint business planning.
- Deliver timely ad hoc analysis to support evolving business needs, while ensuring the integrity, usability, and consistency of data across multiple sources and business units.
- Act as subject matter expert for AI and automation within the Supplier Organization, identifying opportunities to streamline workflows, enhance reporting, and unlock team productivity.
- Partner with stakeholders to pilot, implement, and support adoption of efficiency tools that improve accuracy and scalability of analytics deliverables.
Requirements
- Bachelor’s Degree in a quantitative or technical discipline (e.g., Statistics, Economics, Computer Science, Data Science, Engineering) with 3+ years of experience in an analytics or data-focused role.
- Strong proficiency in SQL (including transformations and query optimization) and Python
- Experience applying advanced analytics techniques (e.g., clustering, regression, predictive modeling) to uncover insights and support business strategy.
- Hands-on experience with Business Intelligence and data visualization tools (e.g., Looker) to design dashboards, KPIs, and self-serve reporting.
- Familiarity with automation, AI tools, or scripting for process improvement and efficiency gains is an asset.
- Demonstrated ability to translate complex data into clear, actionable insights for both technical and non-technical audiences.
- Proven track record of managing multiple projects in a fast-paced environment, with strong organizational and prioritization skills.
- Exceptional attention to detail, critical thinking, and problem-solving skills.
- Strong communication and collaboration skills, with experience working cross-functionally to align on priorities and deliver results.
- Experience in retail, consumer goods, or supplier/vendor analytics is considered an asset.
