Analytics Engineer

Job description

Join Casey’s Analytics Solutions team as an Analytics Engineer and help shape how data is used across the organization. In this role, you’ll build the scalable Power BI models and analytical foundations that turn complex data into trusted, easy-to-use insights for teams across the business. This isn’t an ad-hoc reporting role. You’ll work at the intersection of data engineering, analytics, and business intelligence, designing enterprise-grade semantic models, improving Power BI performance, and creating solutions that make self-service analytics easier and more consistent.

Just as importantly, we’re looking for someone who enjoys teaching and developing others. You’ll help analysts across the organization strengthen their Power BI capabilities through training, coaching, technical communities, standards, and knowledge sharing. If you love solving complex data problems and helping others become better at solving them too, this could be a great fit.

What You’ll Do

Build analytics that scale: Design, build, and maintain enterprise Power BI semantic models that provide trusted analytical foundations for multiple areas of the business.

Create better data models

Develop dimensional models, star schemas, standardized business metrics, DAX measures, calculation groups, and model relationships that are intuitive, maintainable, and high performing.

Optimize Power BI performance

Improve refresh and query performance through incremental refresh, partitions, aggregations, and other optimization techniques for large-scale datasets.

Partner across data and the business

Work closely with Data Engineering and business teams to ensure data is structured for effective analytical consumption and translate complex needs into durable analytics solutions.

Set the standard

Help establish and champion Power BI best practices, including modeling standards, naming conventions, row-level security, documentation, governance, and dataset lifecycle management.

Enable self-service analytics

Build well-documented semantic models that make it easier for analysts and business teams to confidently answer questions with data.

Teach, coach, and build capability

Develop training, certification programs, technical communities, and knowledge-sharing opportunities that grow Power BI expertise across Casey’s.

Be a trusted technical resource

Coach and consult with Power BI-enabled analysts across business functions, helping them apply best practices and build stronger analytics solutions. Casey's is open to hiring at multiple levels (Associate, Analyst, Senior) based on candidate experience.

Compensation

Starting pay range:‏‏‎ $81,500 ‎-‏‏‎ ‎$112,100.‏‏‎ Actual pay may vary based on Casey’s assessment of the candidate's knowledge, skills, abilities (KSAs), related experience, education, and qualifications. Other factors impacting pay include local prevailing wages and internal equity. This position is eligible for an annual cash bonus based on company performance. Our full salary range for this role does extend beyond the hiring range listed, allowing team members the opportunity to continue to grow within the company.

What you can expect when you join the Casey's Team: A transformative culture putting service first and taking pride in caring for our guests, our communities, and each other. Opportunities to use cutting edge technologies and enterprise-wide collaboration to enable our strategy and drive world class service. We're here for families! Great benefits including choices in medical plans, dental, vision, life insurance, charitable giving programs, parental leave and an onsite Child Development Center.

Competitive pay, 401k company match up to 6%, vacation & sick time, paid holidays, volunteer time, and an onsite cafeteria. Dress for your day dress code, jeans are welcomed! The opportunity to work for a big company that has not lost our small company feel. Our senior leadership team is engaged, involved and accessible! What are you waiting for? Come be a part of a company that is growing, transforming and is here for good!

Qualifications

Bachelor's degree in Computer Science, Analytics, Engineering, Information Technology, or equivalent years of related work experience. 3-5 years of experience in analytics engineering, BI engineering, or semantic data modeling. Advanced Power BI expertise, with experience in: Semantic model design DAX (including performance tuning) Power Query (M) Row-level security (RLS) Strong foundation in dimensional modeling (facts, dimensions, star schemas).

Proven experience optimizing Power BI performance, including query plans and refresh strategies. Proficiency with SQL and working with analytical data platforms. Qualified candidates must live within a daily commutable distance of Casey's Store Support Center in Ankeny, IA and willing to work onsite 5 days per week.

Preferred Technical Experience

Experience with Power BI companion tools such as Tabular Editor, DAX Studio, and ALM Toolkit. Familiarity with source control and deployment pipelines for BI assets (Azure DevOps, GitHub). Experience working with cloud data platforms and lake house architectures (Databricks strongly preferred; Snowflake or BigQuery acceptable). Understanding of CI/CD patterns and environment promotion for semantic models. Exposure to large datasets and enterprise BI governance practices.

This position requires authorization to work in the U.S. without the need for employment-based immigration sponsorship now or in the future. Casey’s will not provide sponsorship or employer support for applications or petitions for F-1 OPT, F-1 CPT, H-1B, L-1, TN, O-1, E-3, H-1B1, J-1, or any other employment-based visa.