Manager, Business Intelligence- Terminals

Global Partners LP•Newton, MA

8d•$136,200 - $204,200

About The Position

Join Global Partners LP as our Business Intelligence (BI) Analytics Manager for the Terminals business unit. Collaborating closely with leadership, terminal operations, and divisional teams, you will champion data-driven decision-making across the organization by designing and deploying timely analytics, defining key performance indicators, and implementing robust business intelligence solutions. Through your expertise in tools like SQL, Tableau, and modern data platforms—including Snowflake, dbt, and Fivetran—you will help ensure that terminal operations are optimized for profitability, efficiency, and growth. The BI Manager, Terminals at Global Partners is responsible for driving operational insights, improving profitability, and empowering terminal teams with actionable intelligence. You’ll develop dashboards, optimize processes, and provide recommendations on terminal capacity, pricing strategies, scheduling, and asset utilization. Your analysis will directly support decisions related to terminal operations, acquisition strategies, and long-term planning, enabling us to maximize value and operational performance. The ideal candidate will have strong analytical skills, proficiency in modern BI tools and analytics stacks, and a deep understanding of operational data workflows. They will play a crucial role in driving business growth and improving operational efficiency through data-driven recommendations. At Global Partners, business starts with people. Since 1933, we’ve believed in taking care of our customers, our guests, our communities, and each other—and that belief continues to guide us. The Global Spirit is how we work to fuel that long term commitment to success. As a Fortune 500 company with 90+ years of experience, we’re proud to fuel communities—responsibly and sustainably. We show up every day with grit, passion, and purpose—anticipating needs, building lasting relationships, and creating shared value.

Requirements

Bachelor's degree in Business Analytics, Data Analytics, Computer Science, Information Systems, Statistics, or related quantitative field.
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.

Nice To Haves

Explore and apply appropriate statistical techniques or basic forecasting models to address specific retail challenges, such as customer behavior analysis or demand planning.
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.

Responsibilities

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.
Champion data quality, consistency, and governance best practices within the Retail analytics domain.