Senior Data Analytics Engineer HR

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  

• Develops data models, data pipelines and streamlines the deployment of models into production environments that could include machine learning.
• Supports the design and implementation of Power BI (PBI) dashboards and semantic models, enabling intuitive visualization of advanced analytics
• Builds and maintains pipelines for data analytics projects that include machine learning, enabling seamless integration and delivery of model updates.
• Monitors the performance and accuracy of projects in production, and performs regular maintenance to ensure they continue to meet business needs.
• Works closely with quantitative analysts to understand their models' requirements and provides the necessary infrastructure and tooling for model/data analysis training and experimentation.
• Optimizes performance of SQL queries, predictive models, and data pipelines across both on-prem and cloud environments for speed, efficiency, and cost-effectiveness.
• Designs, builds, deploys and maintains data integration pipelines in MS Azure and/or SQL Server Integration Service.
• Documents data engineering workflows, predictive analytics integration patterns, advanced Power BI development standards, and MLOps processes to support transparency, reproducibility, and efficient onboarding.

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. 

Industry Knowledge and Training 

• Facilitates meetings with Data, Project Delivery and/or business unit team members.
• Provides information and training to other team members. Serves as a resource for questions and problem resolution.
• 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, information technology or related field or an equivalent combination of education and experience sufficient to perform the essential functions of the job.
• Minimum of 7 years of experience with HRIS platforms and data analysis including complex datasets, reporting and trends. Experience with MS SQL environments (2008, 2012, 2014, 2017, 2019), designing and implementing objects using SQL Server Data Tools.
• SQL Server and/or other Microsoft technologies, preferred.
• Experience with cloud platforms such as AWS, or Azure, including services related to machine learning, computation, storage, and orchestration, preferred.
• Knowledge of federal and state (Illinois, Minnesota, and Wisconsin) laws, regulations and compliance requirements specific to the financial industry and Farm Credit.
• Strong knowledge of Python, R, and/or Java, with an emphasis on Python due to its extensive use in machine learning and data science.
• Familiarity with machine learning frameworks (e.g., PyTorch) and algorithms, as well as the ability to understand and interpret models created by data scientists.
• Designs, builds, deploys and maintains SQL Server Integration Service (SSIS) packages.
• Knowledge of container management systems to deploy and manage machine learning models at scale.
• Ability to work with data technologies and databases (SQL), as well as to preprocess and handle large datasets.
• Advanced experience in data analysis, including the ability to interpret complex datasets, create reports, and identify trends.
• Proven experience in HR data analytics or related field, with a strong track record of delivering impactful insights.
• Proficiency in data visualization tools and advanced Excel skills.
• Advanced experience with systems integration, understanding how different HR technologies interact and how to ensure seamless data flow between systems.
• A solid understanding of HR processes and practices, as well as compliance and regulatory requirements related to HR data.
• Strategic and innovative.
• Strong listening, written and verbal communication skills, with ability to communicate at all levels of the organization.
• Skill in developing and maintaining interpersonal relationships.
• High level of integrity.
• Strong problem solving, decision making and organizational skills.
• Strong computer skills, including MS Office applications.
• Strong analytical skills with attention to detail.
• Flexible and adaptable to changing situations.
• Ability to remain objective in balancing business needs and risk.
• Ability to work independently and collaboratively with other teams to achieve goals and represent the business.
• Valid driver's license.

#IND100

How we will take care of you:

Our job titles may span more than one career level (associate, senior, principal, etc.). The actual title and base pay offered is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. The base pay range is subject to change and may be modified in the future. This role is eligible for variable compensation and other benefits.