Manager, Business Intelligence- Retail

Join Global Partners LP as our Business Intelligence (BI) Manager for the Retail business unit. Embedded with our Retail Business Unit, you will be pivotal in supporting our overall strategy (including brands like Alltown Fresh and Honey Farms) by data, insights, and solving some of the most challenging problems in our business. Your role is to lead the analytics strategy in partnership with the Retail business unit, ensuring alignment with key objectives and measurable outcomes.

You will oversee the delivery of insights, scalable data products and solutions, measurement, advanced analysis, reporting, dashboarding, and predictive models to inform data-driven decisions and optimize performance across areas such as Merchandising, Category Management, Operations, Food Service, and Marketing. This role is a fit if you thrive on translating complex data into compelling stories, mentoring analysts, and collaborating closely with stakeholders to embed insights and cultivate a data-driven culture within the teams you lead.

For over 90 years Global Partners LP has been delivering the energy our communities need to grow, move, and thrive. From Alltown Fresh, with its innovative chef-led creations and guest-focused retail experience, to our vast network of over 50 liquid energy terminals across the eastern seaboard and beyond, Global Partner’s integrated network of businesses delivers value day-in and day-out to our guests and customers across the US.

At Global Partners we embrace the future, investing in energy transition with initiatives like Global

GLO and supporting the communities in which we operate with our charitable work.

We’re excited for the next 90 years at Global Partners and what innovative new ideas we can bring to our guests and customers in the future. We’re looking for passionate people with great ideas to contribute to our company’s future. If you’re motivated by what’s next, Global Partners can provide you with the opportunities to push your career to the next level.

• Excellent written and verbal communication skills.
• You are self-motivated and like to take initiative.
• You are a team player with a positive attitude.
• You have strong time management skills.

• Lead and mentor (player coach) a team of BI analysts, fostering analytical rigor, technical skill development, with a culture of curiosity and data-driven insights.
• Partner with Retail leadership to define key performance indicators (KPIs) and develop robust analytical frameworks to measure business performance, identify trends, and track progress against strategic goals.
• Translate ambiguous business questions into specific, testable hypotheses and analytical plans; proactively identify areas where data analysis can deliver significant value.
• Lead the end-to-end development, delivery, and optimization of BI solutions, including dashboards and reports, utilizing SQL and BI platforms (Tableau, Power BI, etc.).
• Communicate complex analytical findings and strategic recommendations clearly and concisely to diverse audiences, including senior leadership, through compelling data storytelling and visualizations.
• Conduct deep-dive analyses using SQL, BI tools (Tableau, Power BI, etc.), and Python/R to uncover root causes, identify actionable opportunities for growth or optimization, and quantify business impact.
• Own the design, development, and continuous improvement of core Retail dashboards and reporting suites, ensuring data accuracy, clarity, and relevance for various Retail business verticals.
• Champion data literacy, drive adoption of self-service BI tools, and promote best practices in data governance within the Retail unit.
• Collaborate with central data teams to influence the design and evolution of data models and infrastructure needed to support robust retail analytics and data capabilities.
• Explore and apply appropriate statistical techniques or basic forecasting models to address specific retail challenges, such as customer behavior analysis or demand planning (nice-to-have).
• Champion data quality, consistency, and governance best practices within the Retail analytics domain.

• Coins!…