Analytics Manager

What You Need To Know

Shape a remarkable future with us. Build a career working for an industry leader that truly invests in their people – and equips them with leading technology, continuous learning, and the ability to bring their best selves to work. As the preeminent wine and spirits distributor, Southern Glazer’s isn't just one of Forbes’ Top Private Companies; it's a family-owned business with deep roots dating back to 1933.

Southern Glazer’s is proud of its well-earned positive reputation, continually achieving accolades for our outstanding workplace culture. We take pride in creating a culture where our people are valued, supported, and provided opportunities for growth and belonging.

As a full-time employee, you can choose from a wide-ranging menu of our Top Shelf Benefits, including comprehensive medical and prescription drug coverage, dental and vision plans, tax-saving Flexible Spending Accounts, disability coverage, life insurance plans, and a 401(k) plan. We also offer tuition assistance, a wellness program, parental leave, vacation accrual, paid sick leave, and more.

By joining Southern Glazer’s, you would be part of a team that values excellence, innovation, and community. This is more than just a job – it's an opportunity to build the future of beverage distribution and grow with a company that truly cares about its people.

The Manager, Commercial Finance Analytics will serve as a strategic analytics leader and trusted business partner, responsible for building and scaling the data foundation that powers Commercial Finance decision-making. This role combines advanced analytical execution, data pipeline automation, and dashboard ownership to enable high-impact research, pricing simulations, and performance insights across divisions and states. This individual will lead the development and automation of robust data workflows while managing enterprise dashboards and collaborating cross-functionally to continuously enhance our commercial finance analytics tool stack.

• Build, automate, and maintain scalable data pipelines using tools such as Alteryx, Databricks, SQL, and related platforms to support dashboards, pricing simulations, and advanced financial analyses
• Own end-to-end dashboard development and governance, ensuring accuracy, usability, and alignment to enterprise standards.
• Partner closely with Commercial Finance and cross-functional stakeholders to deliver high-quality datasets that power research, scenario modeling, and strategic decision-making
• Enhance the Commercial Finance data foundation through structured data wrangling, transformation logic, and integration of multiple internal and external data sources
• Collaborate with Digital and Technology teams to design, implement, and improve enterprise-grade analytics tools and reporting solutions
• Translate complex financial and operational data into clear insights, simulations, and recommendations that drive profitable growth
• Lead data quality, validation, and governance standards to ensure trusted, audit-ready outputs
• Drive continuous improvement in analytics processes, tools, and methodologies to increase automation, efficiency, and scalability
• Foster a high-performance, collaborative environment while strengthening analytics capabilities across the Commercial Finance function

• Bachelor’s degree in Finance, Economics, Analytics, Information Systems, or a related quantitative field; or an equivalent combination of education and experience. Master’s degree (MBA, MS Analytics, or similar) preferred.
• 5–7+ years of progressive experience in commercial finance, analytics, revenue management, or related analytical roles.

• Strong financial and business acumen, with the ability to translate complex financial and operational data into clear insights, scenarios, and recommendations for senior stakeholders.
• Strong communication, influence, and presentation skills, with experience supporting strategic decision‑making at the manager and executive levels.

• Demonstrated experience designing, automating, and maintaining analytics‑ready datasets and data pipelines using SQL and modern analytics platforms…