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About the Role

The Data Analyst builds and maintains analytics solutions to drive product and business decisions across the organization. This role involves querying and transforming data in Databricks, developing interactive Power BI dashboards, contributing to the semantic layer for consistent metric definitions, and supporting data pipeline reliability. The analyst partners with product, engineering, and go-to-market teams to deliver self-service analytics, surface actionable SaaS insights, and ensure data quality across key reporting surfaces.

Responsibilities

• Write and optimize SQL and Python queries in Databricks for data extraction, transformation, and analysis.
• Design, build, and maintain Power BI reports and dashboards for SaaS KPIs (ARR, churn, NRR, product adoption).
• Support the development and maintenance of the enterprise semantic layer for consistent metric definitions, business logic, and governed data access.
• Partner with product, engineering, finance, and GTM teams to scope analytical requests, deliver ad-hoc analyses, and provide actionable recommendations.
• Monitor data freshness and accuracy, troubleshoot pipeline issues, and ensure trusted data in reporting surfaces.

Requirements

• Strong hands-on skills in Databricks (Spark SQL, notebooks, Delta Lake) and advanced SQL for data transformation, analysis, and pipeline support.
• Familiarity with Power BI (DAX, data modeling, service administration) for dashboard development and self-service enablement.
• Understanding of semantic layer concepts, dimensional modeling, and metric frameworks.
• Ability to translate complex data findings into clear, stakeholder-ready narratives and visualizations.
• Comfortable presenting to product, engineering, and business audiences and partnering across teams to scope and deliver analytical work.
• Hands-on experience with Databricks and Power BI required.
• Exposure to semantic layer tooling, AI/BI enablement features, or data governance frameworks is preferred.

Skills

• Databricks (Spark SQL, notebooks, Delta Lake)
• Advanced SQL
• Power BI (DAX, data modeling, service administration)
• Semantic layer concepts
• Dimensional modeling
• Metric frameworks
• AI/BI features (Databricks AI/BI dashboards, Genie spaces)

Location

• Dallas, TX

Work Type

• Onsite

Experience Level

• 2–4 years of professional experience in a data analyst or analytics engineering role
• Ideally within a SaaS or technology company

Education Level

• Bachelor’s degree in Data Analytics, Computer Science, Information Systems, Statistics, or a related quantitative field

Equal Opportunity

• The Hershey Company is an Equal Opportunity Employer.
• Opportunities are extended to qualified applicants and employees on an equal basis regardless of 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.
• Reasonable accommodation can be requested if unable or limited in ability to use or access the online application process due to a disability.
• To request accommodation via phone, call +1 877-804-1794 and leave a voicemail with contact information.
• To request accommodation via email, send to ApplicationHelp@hersheys.com with 'Accommodation Needed' in the subject line.