Principal Data Analyst - Pricing
Listed on 2026-05-30
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IT/Tech
Data Analyst
Job Overview
Workhuman’s best‑in‑class global e‑commerce store allows users to seamlessly redeem their recognition points for merchandise, gift cards, and experiences. As part of our mission‑oriented employee recognition platform, the Principal Analyst will lead pricing analysis and execution for this e‑commerce store, evolving how pricing decisions are evaluated, tested, and implemented.
The role is part of the Business Analytics team, reporting to the Director of Ecommerce Analytics, and partnering closely with Category Management, Sourcing, Client Engagement, Finance, and Product & Technology. The incumbent will develop deep expertise in pricing data and performance drivers, balancing competitive pricing with profitability while evaluating how adjacent levers such as promotions and product exposure influence outcomes.
Hybrid Work ArrangementThis is a hybrid role which requires at least 3 days a week onsite in our Framingham, MA office.
EligibilityApplicants must have valid permanent work authorization in the U.S. (e.g., U.S. citizen, permanent resident). Visas are not being sponsored for this role.
Responsibilities- Lead pricing analysis and decision support across the e‑commerce store, including developing hypotheses, evaluating scenarios, and recommending actions.
- Design, execute, and analyze pricing tests; measure impact and iterate based on results.
- Evaluate how adjacent levers (e.g., promotions, product ranking and exposure) interact with pricing to influence revenue and profitability.
- Define pricing logic and translate decisions into implemented changes within pricing systems and tools.
- Monitor pricing performance and business outcomes, surfacing insights and refining approaches over time.
- Build and maintain data models and dashboards to enable self‑service insights and ongoing visibility into pricing performance.
- Partner with Product & Engineering to inform pricing capabilities, and collaborate with cross‑functional stakeholders to evaluate and refine pricing approaches.
- Proven experience delivering business results in technical, business‑oriented analytics roles, preferably with a background in B2C e‑commerce/retail dynamic pricing.
- Strong analytical and problem‑solving skills, with the ability to structure ambiguous problems and drive toward decisions.
- Experience evaluating pricing approaches, building scenario models, designing experiments, and translating insights into actionable changes.
- Strong SQL skills and experience working with large datasets; familiarity with Python or R for analysis is a plus.
- Experience building data models and dashboards to support self‑service analytics and business visibility.
- Ability to communicate clearly and collaborate effectively across teams, balancing business context with technical detail.
- Strong business intuition with a bias toward action.
- BA/BS or equivalent technical certification, preferably in a quantitative discipline.
The base salary range for this position is $150,000–$175,000, with additional bonus or variable compensation based on job performance and a standard benefits package.
Equal Opportunity Employer (EEO) StatementWorkhuman is an Equal Opportunity Employer and is committed to the principle of equal employment opportunity for all employees. We proudly provide a work environment free of discrimination and harassment. Employment decisions at Workhuman are based solely on business needs, job requirements and individual qualifications, without regard to race, color, religion or belief, national, social, or ethnic origin, sex (including pregnancy), age, sexual orientation, gender identity and/or expression, marital, civil union or domestic partnership status, past or present military service, or any other status protected by the laws or regulations in the locations where we operate.
Workhuman believes that diversity and inclusion among our teammates is critical to our success as a global company, and we seek to recruit, develop and retain the most talented people from a diverse candidate pool.
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