We’re looking for a seasoned data + analytics manager (individual contributor) to drive forward our pricing analytics function. In this role, you will contribute to building best-in-class architecture to support price and discount strategy across HelloFresh North America brands to maximize customer satisfaction and profitability. To inform this vision, you will establish analytical approaches such as competitive benchmarking, financial and econometric modeling, and A/B testing. You will also help to identify new opportunities to move faster and smarter, driving toward predictive analytics to unlock customer value.
This role reports to our Associate Director of Pricing Analytics and will collaborate closely with the commercial Pricing & Discount Strategy team, along with many of our other stakeholders in Marketing, Product, Engineering, ML&AI, and other organizations. This is a high impact role that directly impacts the bottom line for HelloFresh Group.
You will...
- Own the end to end price testing strategy and framework → from modeling, to A/B testing, to implementation.
- Serve as a technical thought leader and build models on innovative pricing topics like geo-segmented pricing, dynamic pricing, and ML-driven discount recommendations.
- Develop frameworks, including but not limited to reports, processes, and analytical approaches to address price discrimination opportunities.
- Communicate complex technical topics to business leaders who do not have technical backgrounds, showing how data-driven insights connect to HelloFresh strategic initiatives and arriving at recommendations / tangible next steps.
- Collaborate with data science, finance, and marketing to develop a consistent approach to measure the impact of discounts with regards to gross and net revenue, short- and long-term (customer) profitability, and cross-effects to Marketing budgets.
- Continuously innovate our price and discount structure to constantly generate an uplift vs competition.
You are…
- Results-oriented - You love transforming data into meaningful outcomes
- Gritty - When you encounter obstacles you find solutions, not excuses
- Intellectually curious – You love to understand why things are the way they are, how things work, and challenge the status quo
- A team player – You favor team victories over individual success
- A structured problem solver – You possess strong organizational skills and consistently demonstrate a methodical approach to all your work
- Agile – You thrive in fast-paced and dynamic environments and are comfortable working autonomously
- A critical thinker – You use logic to identify opportunities, evaluate alternatives, and synthesize and present critical information to solve complex problems.
At a minimum, you have...
- MSc in Business, Economics, Math or other quantitative discipline required
- 4+ years of professional work experience with experience in pricing analytics
- Outstanding technical skill in SQL and Excel, experience with Python preferred
- Experience devising and measuring the effectiveness of couponing initiatives in e-commerce using A/B testing
- Solid understanding of econometric models (price elasticity of demand, revenue management etc…)
- Basic understanding and use of most common machine learning algorithms.
- Experience building end-to-end data solutions utilizing a mix of the above.
You’ll get…
- Generous PTO and flexible attendance policy
- Up to 85% discount on subscriptions to HelloFresh meal plans (HelloFresh, Green Chef, Everyplate, and Factor_)
- Access to Employee Resource Groups that are open to all employees, including those pertaining to BIPOC, women, veterans, parents, and LGBTQ+
- Inclusive, collaborative, and dynamic work environment within a fast-paced, mission-driven company that is disrupting the traditional food supply chain
This job description is intended to provide a general overview of the responsibilities. However, the Company reserves the right to adjust, modify, or reassign work tasks and responsibilities as needed to meet changing business needs, operational requirements, or other factors.