Performance Analytics Analyst

Diageo•3WTC, NY

2d•$62,100 - $103,500•Onsite

About The Position

Diageo is seeking a Performance Analytics Analyst to support data integrity, analysis, and reporting across the Performance Analytics function. This individual will analyze sales execution KPIs, brand performance, and market-specific questions by translating large-scale sales data, in-store observations, and consumer insights into actionable business recommendations. The analyst will work closely with stakeholders to communicate findings, support decision-making, and develop a broad understanding of the U.S. Beverage Alcohol retail landscape. Diageo US Spirits leverages Performance Analytics to create a competitive advantage, improve commercial execution, and support sustainable business growth. The Performance Analytics Analyst will contribute across several key areas: Sales Analytics – Identify and quantify commercial opportunities through analysis of sales execution and activation performance. Industry Insights – Develop insights through analysis of the U.S. Spirits and Beer/FMB industries, competitive activity, and marketplace trends. Reporting – Deliver reporting and performance measurement across business volume, financial performance, and in-market execution. Analytical Operations – Support enterprise analytics initiatives and foundational sales programs, including Perfect Outlet, and other data-driven capabilities.

Requirements

Bachelor's degree in Business, Economics, Finance, Accounting, Engineering, Information Systems, Computer Science, Statistics, Mathematics, or another quantitative or technical discipline.
Demonstrated experience delivering measurable business outcomes through analytical, technical, or commercial work. Internship and academic project experience will be considered.
Familiarity with programming languages such as SQL, Python, or R.
Familiarity with data preparation, visualization, and analytical tools such as Alteryx, Power BI, Jupyter Notebooks, and Microsoft Office.
Familiarity with modern data platforms and cloud data environments, including technologies such as Snowflake and Databricks.
Demonstrated ability to analyze data and translate findings into practical business recommendations. Academic and internship experience will be considered.
A history of engaging with Generative AI tools to automate or optimize analysis, but not as a means to replace necessary context and project framing skills.
Experience working on projects involving multiple functions or stakeholders. Academic and internship experience will be considered.
Strong analytical and problem-solving skills, with the ability to work with complex datasets, identify meaningful insights, and communicate findings effectively.
Experience working with large datasets, including datasets exceeding one million records. Academic and internship experience will be considered.
Highly organized with strong time management skills and the ability to manage multiple priorities in a fast-paced environment.
Demonstrated ability to work independently while collaborating effectively across cross-functional teams.
Adaptable and able to quickly learn new tools, technologies, business processes, and analytical methodologies.
Demonstrates initiative and continuously identifies opportunities to improve reporting, processes, and analytical approaches.

Nice To Haves

1 to 3 years of full-time experience in analytical, consulting, commercial, or sales analytics roles, preferably within the Beverage Alcohol or Consumer Packaged Goods industries.
Strong written and verbal communication skills, including the ability to explain technical concepts and analytical findings to business audiences.
Understanding of the U.S. Spirits industry, the three-tier distribution system, and common data and change management challenges within the industry.
Master's degree in a related field.

Responsibilities

Support the validation, maintenance, and optimization of data sources, including VIP Depletions, Ground Signal, Trax, and other commercial datasets.
Deliver recurring reporting and ad hoc analytical requests accurately and within established timelines.
Contribute to reporting design, performance measurement, project scoping, and the delivery of clear, actionable analytical outputs.
Develop trusted working relationships with Sales, Marketing, Finance, and other cross-functional partners through consistent delivery of accurate, timely, and business-focused analysis.
Identify opportunities to improve data quality, reporting efficiency, and analytical processes.
Contribute technical and analytical expertise to project teams and cross-functional stakeholders.
Share knowledge, best practices, and analytical approaches with peers to support team effectiveness.