New York, NY, United States; Newark, NJ, United StatesNot specifiedSenior
Salary not listed
Python
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New York, NY, United States; Newark, NJ, United States
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About the role
Come see what's cookin' at HelloFresh!
At HelloFresh, we want to revolutionize the way we eat by making it more convenient and exciting to cook meals from scratch. We have offices all over the world and we deliver delicious meals to millions of people. We are the industry leader in meal-kit subscription services and we're growing all the time. We have distinct meal-kit services that cater to everyone with the most menu variety in the market, which allows us to reach an incredibly wide population of people. The HelloFresh team is diverse, high-performing, and international, and our work environment is an inspiring space where you can thrive as a result.
Job Description
We're looking for a Sr. Analyst to own the forecasting, budgeting, and spend analytics backbone of our NA Packaging organization. This role sits at the intersection of supply chain data, finance, and packaging engineering — turning demand signals and cost data into the guidance that keeps our packaging supply chain running efficiently across all NA brands. You'll join a small, collaborative team of analysts and packaging engineers, taking on a broad scope that spans forecasting, cost analytics, and tooling across the full NA portfolio.
You will...
Own the annual NA packaging budget — translating supplier plans into material volumes, network plans, and cost/box estimates by brand
Celonis is the trusted platform to industrialize Enterprise AI. At our core is the Celonis Context Model — which combines process data, business knowledge, and intelligence into a living digital twin of the enterprise that AI can actually understand, turning AI's operational blind spots into operati
Produce and validate the weekly in-week demand forecast across all NA brands (HelloFresh, EveryPlate, Green Chef, Factor), driving packaging material ordering and procurement decisions
Lead PKG spend analytics — weekly and month-end (MEC) budget vs. expected vs. actuals, variance investigations, and driving corrective actions with ops partners
Own the translation of packaging engineering configurations and network fulfillment requirements into a packaging forecast at all time horizons, leveraged in budgeting cycles, planning cycles, and week-to-week ordering. Measure and improve accuracy through budget cycles and ad hoc scenarios.
Maintain and evolve the packaging scripts codebase (Databricks, Airflow, Python, Snowflake) and core planning tools (Packaging Allocator, ODL/ADL files)
Conduct cost and supply impact analyses for packaging launches and transitions — new SKU introductions, format changes, fulfillment network shifts and supplier transitions
Serve as the analytics point of contact bridging Operations Engineering, Procurement, Fulfillment, Logistics, Planning, and Finance
You are...
Highly analytical, comfortable owning a forecast model end-to-end with minimal oversight
A clear communicator who can translate cost/variance data into decisions for non-technical stakeholders
Organized under pressure — this role sits on the critical path for budget cycles with hard deadlines
Proactive about flagging risk rather than waiting to be asked
Collaborative across Finance, Supply Chain Analytics, and Packaging Engineering
Comfortable with ambiguity and stepping into a scope that's still being defined
At a minimum, you have...
3+ years of experience in supply chain analytics, FP&A, or operations analytics, ideally in packaging, manufacturing, or CPG/food
Proficiency in Databricks and Snowflake (or equivalent SQL-based platforms); Python and Airflow experience a strong plus
Strong Excel/Google Sheets modeling skills; hands-on experience with COGS or budget variance analysis
Experience with forecasting/demand planning models, ideally in a multi-brand or multi-SKU environment
Bachelor's degree in Supply Chain, Analytics, Finance, or related field (or equivalent experience)
You'll get...
Competitive salary and comprehensive health, dental, and vision benefits
401(k) with company match
Generous paid time off and holidays
Discounted or complimentary HelloFresh box subscription
Opportunities for professional growth and internal mobility
A collaborative, mission-driven culture with real ownership over your work
It is the policy of HelloFresh not to discriminate against any employee or applicant for employment because of race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, genetic information, disability or because he or she is a protected veteran.
New York Pay Range $75,750—$92,583 USD Newark, NJ Pay Range $75,750—$92,583 USD
Celonis is the trusted platform to industrialize Enterprise AI. At our core is the Celonis Context Model — which combines process data, business knowledge, and intelligence into a living digital twin of the enterprise that AI can actually understand, turning AI's operational blind spots into operati
Celonis is the trusted platform to industrialize Enterprise AI. At our core is the Celonis Context Model — which combines process data, business knowledge, and intelligence into a living digital twin of the enterprise that AI can actually understand, turning AI's operational blind spots into operati
Celonis is the trusted platform to industrialize Enterprise AI. At our core is the Celonis Context Model — which combines process data, business knowledge, and intelligence into a living digital twin of the enterprise that AI can actually understand, turning AI's operational blind spots into operati
Celonis is the trusted platform to industrialize Enterprise AI. At our core is the Celonis Context Model — which combines process data, business knowledge, and intelligence into a living digital twin of the enterprise that AI can actually understand, turning AI's operational blind spots into operati
Celonis is the trusted platform to industrialize Enterprise AI. At our core is the Celonis Context Model — which combines process data, business knowledge, and intelligence into a living digital twin of the enterprise that AI can actually understand, turning AI's operational blind spots into operati
