Lead, BI & Data Analytics

SiteOne Landscape Supply•Roswell, GA

2d•Remote

About The Position

Lead, Business Intelligence & Analytics - Remote SiteOne Landscape Supply is the largest national distributor of landscaping products across the United States and Canada. As a leading supplier of wholesale goods for green industry professionals, we have a long history of serving those who design, build, and maintain outdoor spaces – from lawns and gardens to golf courses, sport fields and more. We pride ourselves on knowing our customers and their business better than anyone else and providing them with a one-stop shop of extensive inventory covering irrigation, lighting, turf and landscape maintenance, hardscapes, nursery, and pest control supplies. At SiteOne, we are passionate about delivering an outstanding customer experience and will stop at nothing to help our customers win. We know that our associates are the key to this success, and our commitment to the SiteOne DNA and support for our associates through development programs, benefits, and perks align with our vision to "Be a Great Place to Work for Our Associates". We foster a culture of safety, teamwork, and continuous improvement. With over 700 locations and exciting expansion ahead, now is the perfect time to join SiteOne and grow Stronger Together™! Role Overview Analytics Lead responsible for translating business problems into scalable data solutions and actionable insights across multiple domains. This role combines deep technical expertise with team leadership, ensuring that business intelligence solutions are reliable, well-designed, and aligned with organizational priorities. They will be part of a larger Business Intelligence organization, partnering with Data Engineering and business experts.

Requirements

5-8 years of experience in Business Intelligence, Analytics, or Data Engineering
Experience delivering BI solutions directly with business stakeholders
Demonstrated experience leading projects and mentoring analysts with knowledge of RACI Project Management Terminology
Advanced analytics solutions using Power BI and DAX
Experience writing and optimizing SQL queries for analytical workflows and troubleshooting
Experience managing priorities across multiple initiatives and business units
Bachelor’s degree in business, analytics, computer science, or related field

Nice To Haves

Wholesale Distribution or Retail Operations support experience preferred

Responsibilities

Design and deliver scalable analytical solutions
Translate business needs into structured requests, dashboards, and insights
Translate ambiguous business questions into structured analytical problems, identifying the metrics, data sources, and analytical approach required to drive decisions
Ensure solutions are maintainable, scalable, and aligned standards
Develop advanced analytics solutions using Power BI and DAX
Write and optimize SQL queries for analytical workflows and troubleshooting
Work with business leaders to define, document, and maintain consistent KPI definitions, ensuring metrics are measurable, repeatable, and aligned across reporting and analytics solutions
Partner with Data Engineering to ensure semantic models support reporting and analytics needs
Validate semantic models accurately reflect business processes and operational definitions, providing feedback on structure to ensure usability and performance
Leverage enterprise semantic models to build scalable dashboards, analytics, and insights
Directly lead and mentor an Analyst responsible for incoming ad hoc requests and analytics intake
Manage workflow prioritization, balancing reactive requests with planned project work
Translate incoming demand into structured backlog items and projects
Identify recurring ad hoc requests and convert them into scalable analytics solutions or reporting assets that improve efficiency and reduce reactive demand
Partner with business leaders to identify opportunities where analytics can improve operational decision making
Communicate insights through clear storytelling and effective data visualization
Influence mid-level leaders and operational partners through data-driven recommendations
Continuously improving analytics delivery processes including work intake, prioritization, and solution development
Maintain strong discipline in documentation, governance, and design standards
Support adoption of self-service analytics through training and solution design