Design experimentation and measurement approaches, including baselines, KPIs, and feedback loops, to evaluate and continuously improve business outcomes.
Translate model outputs into actionable insights, recommendations, decision logic, dashboards, and business-facing experiences.
Integrate analytics, recommendations, and decision logic into business workflows while supporting transparency and explainability.
Drive adoption and value realization by monitoring solution performance, decision outcomes, and business impact.
Manage analysts and business partners to deliver effective analytics and decision-support solutions.
Time allocation estimated as follows
30% Translate business needs, rules, thresholds, and operational decisions into analytic requirements and decision models.
20% Co-design optimization approaches, decision workflows, and experimentation frameworks with Data Science.
20% Partner with stakeholders to integrate solutions into workflows and drive adoption.
15% Measure outcomes against baselines and continuously improve solutions.
15% Support decision documentation, governance, transparency, and explainability.
Qualifications
Education
Bachelor’s degree in an analytical or quantitative field (e.g., Engineering, Mathematics, Statistics, Computer Science, Economics, Business, Operations Research, or related discipline).
Experience
3+ years in an analytics, strategy, data science translation, product management, finance, or consulting role within a corporate or professional services environment.
Experience translating business problems into analytics requirements and partnering with technical teams to develop data-driven solutions.
Experience defining business KPIs, success measures, or experimentation approaches to evaluate the impact of analytics solutions.
Professional Skills
Strong understanding of analytics, AI/ML concepts, data technologies, and business value drivers.
Ability to translate business problems, decisions, rules, and constraints into structured analytical requirements.
Ability to synthesize complex model outputs into business-relevant recommendations and actions.
Understanding of experimentation, model evaluation, KPI development, and outcome measurement.
Working knowledge of predictive and prescriptive analytics, optimization, generative AI, and decision intelligence.
Strong structured problem-solving and cross-functional collaboration skills across Business, Data Science, Product, and Technology.
Excellent communication skills with the ability to explain analytical recommendations, tradeoffs, and outcomes to technical teams and senior leadership.
BENEFITS INFORMATION
For information on Sysco’s Benefits, please visit https://SyscoBenefits.com
OVERVIEW
Sysco is the global leader in foodservice distribution. With over 71,000 colleagues and a fleet of over 13,000 vehicles, Sysco operates approximately 333 distribution facilities worldwide and serves more than 700,000 customer locations.
We offer our colleagues the opportunity to grow personally and professionally, to contribute to the success of a dynamic organization, and to serve others in a manner that exceeds their expectations. We’re looking for talented, hard-working individuals to join our team. Come grow with us and let us show you why Sysco is at the heart of food and service.
AFFIRMATIVE ACTION STATEMENT
Applicants must be currently authorized to work in the United States.
We are proud to be an Equal Opportunity and Affirmative Action employer, and consider qualified applicants without regard to race, color, creed, religion, ancestry, national origin, sex, sexual orientation, gender identity, age, disability, veteran status or any other protected factor under federal, state or local law.
This opportunity is available through Sysco Corporation, its subsidiaries and affiliates.
