Data Analytics Engineer II

Missouri LAGERS•Jefferson City, MO
•$88,606 - $106,328•Hybrid

About The Position

The Data Analytics Engineer II develops analytics solutions and delivers actionable insights to support informed decision-making at Missouri LAGERS. The position develops and optimizes SQL queries, reports, dashboards, and data models; improves data quality, consistency, and accessibility; and maintains data definitions, documentation, and governance standards for accurate, reliable organizational reporting. The role partners with business stakeholders and IT team members to assess reporting needs, identify opportunities for analysis, and translate business requirements into practical reporting solutions. It also supports improvements to reporting processes, operational efficiency, and the organization’s analytics capabilities. The position develops dashboards, reports, and visualizations; implements and maintains scalable data models, warehouses, and analytics platforms; applies quality assurance and governance standards to protect data integrity, accuracy, and security; collaborates with business users to gather requirements; contributes to data management, analytics, and reporting best practices; and analyzes existing SQL reports and queries to improve business reporting and processes. The salary range is $88,606 to $106,328 annually. The starting salary is negotiable based on experience and the value identified for the organization. The work environment is hybrid, with collaborative in-office days and work-from-home days as designated.

Requirements

  • Three to five years of experience in data engineering, analytics, or a related field, or an equivalent combination of education and experience that provides the required knowledge, skills, and abilities.
  • Strong analytical and problem-solving skills.
  • Commitment to data accuracy.
  • Proactive approach to improving reporting processes and operational efficiency.

Nice To Haves

  • Bachelor’s degree in data science, computer science, or a related field preferred.
  • Power BI preferred.

Responsibilities

  • Develop dashboards, reports, and visualizations that present insights clearly and actionably.
  • Implement and maintain scalable data models, warehouses, and analytics platforms.
  • Ensure data integrity, accuracy, and security through quality assurance and governance standards.
  • Collaborate with business users to gather requirements and translate them into data solutions.
  • Contribute to best practices for data management, analytics, and reporting.
  • Analyze existing SQL reports and queries to improve and optimize business reporting and processes.
  • Maintain data definitions, documentation, and governance standards.
  • Partner with business stakeholders and IT team members to assess reporting needs and identify opportunities for meaningful analysis.

Benefits

  • Hybrid work environment with designated in-office and work-from-home days.
  • 12 paid holidays per year.
  • Annual leave starting at 15 days per year.
  • 15 days of sick leave per year.
  • Health insurance options effective on the first day of employment.
  • Vision, dental, life, long-term disability, and IDShield protection effective on the first day of employment.
  • Defined Benefit Retirement Plan providing lifetime monthly retirement benefits at no cost to the employee.
  • Deferred Compensation Plan with employer match.
  • Professional development reimbursements.
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