Job Description

Location: Dallas, TX

The Data Analyst is responsible for building and maintaining analytics solutions that drive product and business decisions across the organization. This role involves querying and transforming data in Databricks, developing interactive dashboards in Power BI, 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 insights from SaaS metrics, and ensure data quality across key reporting surfaces.

Responsibilities

• Databricks Analytics: Write and optimize SQL and Python queries in Databricks to extract, transform, and analyze large-scale product and business data sets for stakeholder consumption.

• Power BI Dashboard Development: Design, build, and maintain Power BI reports and dashboards that surface SaaS KPIs such as ARR, churn, NRR, and product adoption metrics for cross-functional teams.

• Semantic Layer Contribution: Support the development and maintenance of the enterprise semantic layer to ensure consistent metric definitions, business logic, and governed data access across reporting tools.

• Cross-Functional Analytics Support: Partner with product, engineering, finance, and GTM teams to scope analytical requests, deliver ad-hoc analyses, and translate findings into actionable recommendations.

• Data Quality and Pipeline Support: Monitor data freshness and accuracy, troubleshoot pipeline issues in collaboration with data engineering, and ensure reporting surfaces reflect trusted, governed data.

Scope/Key Deliverables

• Power BI Dashboards and Reports: Production-quality dashboards covering SaaS KPIs (ARR, churn, NRR, feature adoption) with documented data sources and refresh schedules.

• Databricks Notebooks and Queries: Documented, version-controlled SQL/Python notebooks for recurring analyses, cohort studies, and ad-hoc deep-dives supporting product and GTM stakeholders.

• Semantic Layer Contributions: Validated metric definitions, dimension models, and business logic additions to the shared semantic layer, ensuring consistency across self-service analytics.

Qualifications

• Databricks and SQL Proficiency: 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.

• Semantic Layer and Data Modeling: Understanding of semantic layer concepts, dimensional modeling, and metric frameworks to ensure consistent, governed definitions across reporting tools. Exposure to AI/BI features (e.g., Databricks AI/BI dashboards, Genie spaces) is a plus.

• Analytical Communication: 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.

Education & Experience

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

• Experience: 2–4 years of professional experience in a data analyst or analytics engineering role, ideally within a SaaS or technology company. Hands-on experience with Databricks and Power BI required. Exposure to semantic layer tooling, AI/BI enablement features, or data governance frameworks is preferred.

#LI-KR1

#LI-Onsite

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.

About The Hershey Company

The Hershey Company is headquartered in Hershey, Pa., and is an industry-leading snacks company with a purpose to make more moments of goodness through its iconic brands. Hershey has approximately 20,000 employees around the world who work every day to deliver delicious, quality products.

The company has more than 70 brands around the world that drive more than $11 billion in annual revenues, including such beloved brands like HERSHEY'S, REESE'S, KIT KAT®, JOLLY RANCHER, ICE BREAKERS, SHAQ-A-LICIOUS, SKINNYPOP and DOT'S HOMESTYLE PRETZEL'S.

For more than 130 years, Hershey has been committed to operating responsibly and supporting its people and communities. Hershey founder, Milton Hershey, created Milton Hershey School in 1909, and since then, the company has focused on helping children succeed through access to education. 

Industry

Manufacturing & Production

Company Size

10,000+ employees

Headquarters

Hershey, Pennsylvania

Year Founded

1894

Website

thehersheycompany.com

Social Media