Safelite's BI and Data Science infrastructure and centrally managed Assets need to be developed, maintained, and evolved to provide actionable, data-driven enhancements to the business. The goal is to create a team of trusted data experts who can support the organization's BI and Data Science needs.
Requirements
- Strong understanding of foundational SQL concepts.
- Familiarity with statistical programming languages such as Python or R, with the ability to guide teams in applying them to business problems.
- Experience overseeing the use of cloud data platforms to support enterprise analytics and reporting needs.
- Working knowledge of code management and version control practices (e.g., GitHub) to support collaborative development and reproducibility across teams.
- Experience with large enterprise legacy tools (e.g., mainframe, Informatica, Oracle Business Intelligence, Cognos).
- Experience with script-based analytics transformation tools (e.g., dbt, AWS Glue, Talend).
Responsibilities
- Develop, maintain, and evolve Safelite's BI and Data Science infrastructure and centrally managed Assets.
- Ensure deliverables confer actionable, data-driven enhancements to the business.
- Manage a high-performing team of data experts, creating opportunities to enhance their skill sets and guide the team in the growth of the infrastructure needed to support many embedded analysts throughout the organization with trusted, timely, data and self-serve BI assets.
- Partner with business stakeholders to identify opportunities for data-driven insights, automation, and system enhancements.
- Manage high-performing teams of data scientists and BI analysts to develop actionable data solutions that drive growth and efficiency.
- Oversee the data science development ensuring solutions support initiatives such as customer segmentation, demand forecasting, pricing optimization, and operational efficiency.
- Create BI assets that empower business users with intuitive, self-service analytics capabilities and a single source of truth.
Other
- Ability to provide strategic guidance and build cohesiveness among data scientists and BI analysts.
- Demonstrated success working effectively with cross-functional teams and stakeholders to design and deliver high-ROI, user-first solutions aligned with business needs.
- Excellent communication skills for conveying complex data insights to non-technical stakeholders.
- Strong analytical and problem-solving skills.
- 7-9 years experience in data science, analytics, data engineering, or business intelligence Required
- 1-3 years in an and analytics or data leadership role. Required
