Principal Data Engineer, Analytics Solutions
The Hershey Company
- United States
- United States
Über
Posted Date:
Jul 1, 2026
Requisition Number:
129109
Job Location:
Dallas, TX ThePrincipal Data Engineer, Analytics Solutionsis responsible fordefining, enabling, and scaling Hershey's portfolio of analytics solutions across the enterprise. Analytics solutions include Power BI dashboards, conversational analytics interfaces, AI-enabled insight applications, and custom insight applications. This role does not centralize all analytics development; itestablishesthe standards, frameworks, and reusable assets that enable business domain teams to build andmaintaintheir own solutions with confidence. This role ensures these solutions are user-centered, technically sound, adoption-ready, and continuously improving, enabling faster and more consistent decision-making across commercial, supply chain, and corporate functions. We welcome candidates from analyticsengineering, BI development, data product, or solution design backgrounds who bring a blend of technical depth and solution design experience. This is an individual contributor role with accountability for the full analyticssolutionsportfolio, with the potential to grow into direct management of an analytics practice team as the portfolio scales. ThePrincipal Data Engineer drives the vision for how analytics works across Hershey, sitting at the intersection of analytics, product management, design thinking, and business domain expertise, and is accountable for the end-to-end lifecycle of analytics solutions, from requirements gathering and design through delivery, adoption, and iteration. The rolesets standards, builds reusable frameworks, and partners with business domain teams and analysts to co-develop and continuously improve analytics solutions. The role also contributes tothe analytics practice function,establishingstandards, best practices, and reusable assets that raise the quality and consistency of analytics solutions across the organization. ThePrincipal Data Engineer partners closely with Data Products, Data Platform Engineering, and Data Governance to ensure analytics solutions are built on trusted, governed data. Data Products owns enterprise data assets and governance; this role owns the analytics solutions that consume those assets and put insights into the hands of decision-makers. ThePrincipal Data Engineer works closely with key business analytics consumers across commercial, supply chain, and corporate functions,operatingas a strategic partner to domain leaders who depend on analytics to run their businesses. This ensures that analytics solutions are not only delivered but are trusted, adopted, and consistently used by the business. What We Are Building for Hershey:
This role is foundational to how Hershey turns data into action. ThePrincipal Data Engineer, Analytics Solutions will build a unified portfolio of analytics solutions that give leaders, analysts, and frontline teams the insights they need to make better decisions. From Power BI dashboards that track retail execution and trade promotion ROI, to conversational analytics that let users ask questions in natural language, to applied AI solutions that o conversational analytics that let users ask questions in natural language, to applied AI solutions that surface recommendations and predictions (built on the enterprise AI/ML platform), this role shapes how analytics is built, consumed, and continuously improved across the enterprise. Byestablishingclear standards, enabling self-service capabilities, and fostering a culture of continuous improvement, this role ensures Hershey's analytics evolve from scattered reports into a cohesive, enterprise-grade analytics portfolio that drives growth, efficiency, and competitive advantage. Minimum knowledge, skills, and abilitiesrequiredto successfully perform major duties/responsibilities: Strong analytical solution design with experience defining, designing, and delivering analytics solutions that drive measurable business outcomes. Deep experience with Power BI, including data modeling, DAX, governance (workspaces, row-level security, deployment pipelines), and performance optimization
Experience building analytics solutions at scale (dashboards, self-service tools, applied AI solutions), not one-off ad hoc analyses
Ability to translate business questions into well-designed analytics solutions
Deep understanding of the modern analytics stack (BI platforms, AI/ML tooling, data visualization, conversational interfaces), with strong SQL skills for evaluating data models,validatinglogic, and ensuring solutions are built on the right data
Experience working with user adoption and change management for analytics and data products
Strong leadership and influence skills, with the ability to shape analytics practices across business domains, not just within the central data team
Experiencecontributing to or helping shapean analytics practice, shared services function, or standards body within a large organization
Excellent communication and storytelling skills with both technical and non-technical audiences
Preferred Skills: Our environment uses Azure Cloud and Databricks; experience with these platforms or equivalent cloud analytics platforms is preferred
Familiarity with Python or R for analytics, with enough literacy to evaluate model outputs, review notebooks, and engage credibly with data science teams
Experience with conversational analytics, natural language query interfaces, or AI-powered analytics tools (e.g., Power BI Copilot, LLM-powered insight tools)
Strong data visualization and UX design sensibility: information hierarchy, cognitive load management, accessibility, and designing dashboards that drive decisions
Experience with semantic models, metrics layers, or unified definition frameworks that ensure consistent measures across analytics solutions
Minimum Education and Experience Requirements: BA/BS in Computer Science, Engineering, Information Systems, or related field
Advanced degree preferred but notrequired
7+ years of experience in analytics, product management, or data-driven roles 5+ years building and leading analytics solutions or BI platforms, with informal leadership or mentoring experience; direct people management experience is a plus, as this role may grow into a team leadership position Experience in CPG, retail, or complex enterprise environments preferred Solution-oriented mindset with strong business acumen
Ability to bridge analytics, technology, and business teams
Ability to drive clarity, prioritization, and execution discipline
Demonstrated ability to mentor, coach, and grow the capabilities of analysts and solution designers, with the potential to formally manage a team as the role evolves
Trusted partner to business leaders with a bias toward enabling self-service and driving adoption
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The Hershey Company is an Equal Opportunity Employer. The policy of The Hershey Company is to extend opportunities to qualified applicants and employees on an equal basis regardless of an individual's race, color, gender, age, national origin, religion, citizenship status, marital status, sexual orientation, gender identity, transgender status, physical or mental disability, protected veteran status, genetic information, pregnancy, or any other categories protected by applicable federal, state or local laws.
The Hershey Company is an Equal Opportunity Employer - Minority/Female/Disabled/Protected Veterans. You may request a reasonable accommodation if you are unable or limited in your ability to use or access our online application process as a result of a disability. You can request an accommodation via phone or email. To request an accommodation via phone, please call +1 877-804-1794 and leave a voicemail with your contact information. You may also email a request for accommodation to ApplicationHelp@hersheys.com. Please be sure to include "Accommodation Needed" in the subject line. This will ensure that your email is routed to the appropriate contact who will handle your request.
Nearest Major Market:
Dallas
Nearest Secondary Market:
Fort Worth
Sprachkenntnisse
- English
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