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 GlobalGLO 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.
 

The Types of “Energy” You Bring  

• 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.

“Gauges” of Responsibility  

• 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. 

 “Fuel” for You

• Coins! We offer competitive salaries and opportunities for growth. We mean it! We have an amazing Talent Development Team who create trainings for growth and job development.
• Health + Wellness - Medical, Dental, Visions and Life Insurance. Along with additional wellness support. 
• The Road Ahead – We offer 401k and a match component!
• Professional Development - We provide tuition reimbursement; this benefit is offered after 6 months of service. 
• Give Back! We believe in community support. We know everyone gives in their own way, that’s why we offer paid volunteer time-off to you to help an organization of your choice.

The GPS of our Interview Process

• First thing first, if you’re interested in the role, please apply.
• A talent acquisition team member will review your resume in partnership with the hiring manager. If your experience would lend to this opportunity a recruiter will contact you. 
• We conduct “in-person” (Virtual) interviews and provide additional interview information or other items needed at that time. 

Qualifications:

• 5-7+ years in Business Intelligence or Data Analytics, demonstrating progressive responsibility.  

• 2-3+ years of experience leading projects or directly managing/mentoring analytical staff. 

• Proven experience translating business needs into analytical solutions and actionable insights within a business context. Experience within the Retail, C-Store, eCommerce, or related industries.   

• Expert-level SQL skills for complex data extraction, transformation, and analysis.  

• Deep expertise with major BI platforms (Tableau, Power BI, Looker, etc.) including dashboard design, development, and performance optimization.  

• Exceptional data storytelling and communication skills, able to present complex information clearly and persuasively to diverse audiences.  

• Strong leadership, mentoring, and collaboration skills; proven ability to manage and develop analysts as a player-coach.  

• Excellent business acumen and problem-solving skills, particularly within a retail context.  

• Exposure to data preparation/modeling tools (e.g., dbt, sqlmesh).  

• Exposure to Python or R for data analysis and automation.  

• Experience with statistical analysis, forecasting techniques, or basic predictive modeling.  

• Familiarity with cloud data warehouses (e.g. Snowflake, BigQuery). 

• Passion for data quality, continuous learning, and fostering a data-informed culture. 

Pay Range:

$136,200.00 - $204,200.00

The pay range for this position is outlined above. The final amount offered at the start of employment is determined based on factors including, but not limited to, experience level, knowledge, skills, abilities and geographic location, and the Company reserves the right to modify base salary at any time, including for reasons related to individual performance, Company or individual department/team performance and market factors.

We value passion and potential. If you are enthusiastic about a position and think you can make a meaningful impact, we encourage you to apply even if you don't check every box. We embrace different perspectives, backgrounds and experiences.

Global Partners LP is an equal opportunity employer. We foster a company culture where ideas from all people help us grow, move and thrive. We embrace the diversity of all applicants and do not discriminate against race, color, religion, sex, age, national origin, sexual orientation, gender identity, disability, protected veteran status or any other basis prohibited by federal, state or local law. If you have a disability and need an accommodation to apply, please contact our recruiting department at 781-891-4000.

*Disclaimer: At Global Partners, we don't use lie detector tests for any employment decisions. We follow all the rules and regulations, so we need to let you know: In Massachusetts, it's illegal to require or administer a lie detector test as a condition of employment of continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.