Sr Data Analytics Engineer HR

Empowered to live. Inspired to work.
Compeer Financial is a member-owned cooperative located in Illinois, Minnesota and Wisconsin. We bring together team members with a variety of backgrounds and experiences to help provide financial services to support agriculture and rural communities. Join us in a culture that not only promotes meaningful work and professional development, but provides a flexible, hybrid work environment and excellent benefits, which empower you to thrive both personally and professionally.

How we support you:

• Hybrid model - up to 50% work from home
• Flexible schedules including ample flexibility in the summer months
• Up to 9% towards 401k (3% fixed Compeer contribution plus up to 6% match)
• Benefits: medical, dental, vision, HSA/FSA, life & AD&D insurance, short-term and long-term disability, wellness program & EAP
• Vacation, sick leave, holidays/floating holidays, parental leave, and volunteer paid time off
• Learning and development programs
• Mentorship programs
• Cross-functional committee opportunities (i.e. Diversity & Inclusion Council, emerging professional groups, etc.)
• Professional membership/certification reimbursement and more!

Casual/seasonal & intern team members are not eligible for benefits except for state-mandated programs.

To learn more about Compeer Financial visit

This position offers a hybrid work option up to 50% remote and is based out of the Bloomington, IL office.

The contributions you will make:

This position is responsible for leveraging data analytics to support and enhance the human resources function within Compeer. The incumbent collects, analyzes, and interprets HR data to provide actionable insights that drive strategic decision-making and utilizes predictive analytics to forecast HR trends. A key aspect of the role includes developing and delivering comprehensive reports and designing dynamic dashboards to effectively communicate data insights and enable real-time monitoring of key HR metrics, workforce dynamics and trends.

By leveraging advanced data analytics techniques, the incumbent provides expert guidance and support to shape and inform HR strategies and solutions.

A typical day:

Data Engineering and Management

• Develops data models and data pipelines and streamline the deployment of models into production environments that could include machine learning.
• Build and maintain pipelines for data analytics projects that include Machine Learning, enabling seamless integration and delivery of model updates.
• Monitor the performance and accuracy of projects in production, and perform regular maintenance to ensure they continue to meet business needs.
• Creates and maintain documentation for Data Science/MLOps processes, and deployment guides.
• Executes data integrity processes and adheres to standard audits.
• Ensures data accuracy and integrity by implementing rigorous data validation and quality control processes.
• Recommends data integrity routines and processes to enhance data quality.
• Identifies opportunities to improve data quality and user experiences by recommending changes in business processes.
• Tracks data-related issues, problems, and performance metrics for historical reporting purposes.
• Develops and maintains data warehouse and HR dashboard user security.
• Establishes security integrity routines to ensure use access compliance.

Data Analytics and Reporting

• Conducts extensive data analysis and research, demonstrating proficiency in manipulating, analyzing, and identifying trends in results. Assists in developing innovative approaches for presenting human capital analysis and reporting.
• Applies advanced analytics techniques, such as predictive modeling, machine learning, and clustering, to uncover insights and patterns within HR data. Using these insights to support strategic workforce planning, talent management, and succession planning initiatives.
• Collaborates with HR and cross-functional teams to understand data needs and deliver customized analytics solutions that address organizational challenges and opportunities.
• Designs, develops and maintains interactive dashboards, reports and data visualizations using Power BI.
• Identifies and builds processes to automate data and analytics solutions.
• Uses analytical reasoning to identify problems and develop hypotheses, and offer solutions that address organization's needs.
• Guides internal clients to effectively understand and measure metrics, interpreting data, and translating it into actionable recommendations.

Continuous Improvement and Best Practices

• Identifies, designs, and implements internal process improvements: automates manual processes, optimizes data delivery, etc.
• Participates with cross-functional Data and Business Technology teams to formulate best practices.
• Stays up-to-date with the latest analytics and predictive analytics tools, technologies, and best practices to continuously improve the machine learning operations pipeline.

The skills and experience we prefer you have:

• Bachelor's degree in business administration, human resources,…