Senior Forecast Analyst, Demand Planning (ML Partner) at PepsiCola Bottling Company of New York Inc

Chicago, Illinois, United States -

Full Time

Start Date

Immediate

Expiry Date

25 Jun, 26

Salary

0.0

Posted On

27 Mar, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Analysis, Forecasting, Machine Learning, SQL, Python, Data Manipulation, Statistical Forecasting, Model Interpretation, Stakeholder Communication, Data Quality Management, Change Management, Time Series Analysis, Forecast Evaluation, Project Leadership, Supply Chain Analytics, Demand Planning

Industry

Food and Beverage Services

Description

Overview PepsiCo Beverages North America’s supply chain produces and distributes at massive scale, serving customers through a network of 60+ plants and 400+ distribution centers and moving ~2B cases annually. Our IBP Forecasting Analytics team helps keep service high and inventory optimized by pairing business insight with machine learning driven statistical forecasting. The role As a senior individual contributor, you’ll be the day to day bridge between demand planners and our global data science partners. You’ll interpret how our ML models “think,” explain model behavior to non technical stakeholders, and collaborate with data scientists to drive continuous improvement in our forecasting engine. You’ll own your work, run short, self directed projects, and communicate clearly with technical and non technical audiences. Responsibilities Pull, manipulate, and analyze forecasting data to understand how the forecasting engine behaves and identify key drivers of accuracy and bias. Distill analytical findings into clear narratives and actionable recommendations for demand planning leadership. Translate between business needs and model behavior. Partner with data scientists on experiments and model changes; frame hypotheses and define success metrics. Serve as a subject matter expert for statistical forecasting within the demand planning organization. Identify and address data quality issues affecting the forecasting engine; work cross‑functionally to remediate root causes. Drive end‑user understanding and adoption of forecasting tools and processes, including training and change‑management activities. This role operates under PepsiCo’s Work That Works model, with eligibility for 2 days working from home and 3 days in the office. Compensation and Benefits: The expected compensation range for this position is between $93,500 - $156,450. Location, confirmed job-related skills, experience, and education will be considered in setting actual starting salary. Your recruiter can share more about the specific salary range during the hiring process. Bonus based on performance and eligibility target payout is 10% of annual salary paid out annually. Paid time off subject to eligibility, including paid parental leave, vacation, sick, and bereavement. In addition to salary, PepsiCo offers a comprehensive benefits package to support our employees and their families, subject to elections and eligibility: Medical, Dental, Vision, Disability, Health, and Dependent Care Reimbursement Accounts, Employee Assistance Program (EAP), Insurance (Accident, Group Legal, Life), Defined Contribution Retirement Plan. Qualifications 4+ years in analytics, data science, or supply chain/demand planning analytics (or equivalent practical experience). Proficiency with SQL or Python to extract and analyze data within a Databricks or Spark-based environment. Demonstrated ability to communicate insights to both technical and non technical stakeholders (written and verbal). Demonstrated ability to set direction and drive decisions across multiple stakeholders. Preferred qualifications Exposure to time series or forecasting methods (classical or ML) Familiarity with forecast evaluation (e.g., MAPE/WAPE/sMAPE, bias) and model explainability basics. Experience in demand or supply planning processes or systems (e.g., SAP IBP/APO, Kinaxis, Anaplan, Oracle, o9). Project leadership from idea to production (experimentation, validation, rollout) and the ability to challenge requirements to reach best practice. Resilience and adaptability in a dynamic environment. What you’ll learn here Communication patterns that move decisions across business and data science. Modern time series techniques and how our ML engine is architected. Best practice forecast hygiene (data quality, feature logic, exception management). EEO Statement Our Company will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of the Fair Credit Reporting Act, and all other applicable laws, including but not limited to, San Francisco Police Code Sections 4901-4919, commonly referred to as the San Francisco Fair Chance Ordinance; and Chapter XVII, Article 9 of the Los Angeles Municipal Code, commonly referred to as the Fair Chance Initiative for Hiring Ordinance. All qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. PepsiCo is an Equal Opportunity Employer: Female / Minority / Disability / Protected Veteran / Sexual Orientation / Gender Identity / Age If you'd like more information about your EEO rights as an applicant under the law, please download the available EEO is the Law & EEO is the Law Supplement documents. View PepsiCo EEO Policy. Please view our Pay Transparency Statement

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Responsibilities

The analyst will pull, manipulate, and analyze forecasting data to understand engine behavior, distilling findings into actionable recommendations for demand planning leadership. They will also partner with data scientists on experiments, frame hypotheses, and serve as a subject matter expert for statistical forecasting.