Data Analytics Engineer II
Posted
Summary
Builds and optimizes SQL reports, Power BI dashboards, and data models for Missouri LAGERS, a public pension system, partnering with business stakeholders to deliver accurate, governed analytics that drive decision-making. Hybrid role based in Jefferson City, MO paying $88,606-$106,328.
Data Analytics Engineer II
Joining the Missouri LAGERS, team as a Data Analytics Engineer II offers the opportunity to leverage your experience to develop analytics solutions and deliver actionable insights that drive informed decision-making. This position focuses on developing and optimizing SQL queries, reports, dashboards, and data models; improving data quality, consistency, and accessibility; and maintaining data definitions, documentation, and governance standards to ensure accurate, reliable organizational reporting.
As a Data Analytics Engineer II, you will partner with business stakeholders and IT team members to assess reporting needs, identify opportunities for meaningful analysis, and translate business requirements into practical, effective reporting solutions. Success in this role requires strong analytical and problem-solving skills, a commitment to data accuracy, and a proactive approach to improving reporting processes, operational efficiency, and the organization’s overall analytics capabilities.
LAGER’s vision is to enhance the lives of our 83,000+ members by providing financial stability for their future through a protected, defined benefit retirement. Our team members value excellence, embody dedication and exemplify leadership. We work together, take ownership of our actions, and thrive in an environment of continuous improvement.
Salary: $88,606 to $106,328 starting annual salary is negotiable and will depend on experience and identified value brought to the organization.
LAGERS benefits include:
- Hybrid work environment with collaborative in-office days and work-from-home days as designated.
- 12 paid holidays per year.
- Annual Leave: Starting at 15 days per year.
- Sick Leave: 15 days per year.
- Health insurance options effective DAY 1 of your employment.
- Vision, Dental, Life, Long-term Disability, and IDShield protection for you on
- DAY 1 of your employment.
- Defined Benefit Retirement Plan providing lifetime monthly retirement benefits at no cost to you.
- Deferred Compensation Plan with employer match.
- Professional development reimbursements and more…
Data Analytics Engineer II Job Functions:
- Develop dashboards, reports, and visualizations to present insights in a clear and actionable manner. (Power BI preferred)
- Implement and maintain scalable data models, warehouses, and analytics platforms.
- Ensure data integrity, accuracy, and security by applying quality assurance and governance standards.
- Collaborate with business users to gather requirements and translate them into data solutions.
- Contribute to the development of best practices for data management, analytics, and reporting.
- Analyzes existing SQL reports and queries to improve and optimize business reporting and processes.
Our ideal Data Analytics Engineer should have:
- Possession of a bachelor’s degree in data science, computer science or related field preferred; and
- Three to five years of experience in data engineering, analytics or related field; or
- Equivalent combination of education and experience which would provide the knowledge, skills and abilities noted below.
Recruitment Schedule:
- Our application deadline is November 13, 2026, or until the position is filled.
- We will conduct prescreening calls with applicants who meet the criteria listed above.
- Interviews with best fit candidates will be scheduled throughout the recruitment schedule.
As part of our application process, it is required that each applicant must complete a Culture Index Survey. The survey is a 2-question survey which will take 5-8 minutes to complete. For full consideration, both your application and survey must be submitted. After you apply, the link will be emailed to you or after you apply click the link provided here: