Senior Data Analytics & Dashboards Specialist

Highmark Health; Cheyenne (WY); On-site; USD 79,000 - 127,000; Full time

Job summary

Highmark Health in Cheyenne, WY seeks a data analytics professional to drive collection, analysis, and reporting of key performance indicators. You will design dashboards, export and transform data, and translate business requirements into actionable insights across cross-functional teams.

The role emphasizes building scalable analysis processes, ensuring data quality, and presenting findings to leadership. A strong background in SQL, Python, and data visualization is preferred.

Qualifications

• Bachelor's degree required in a quantitative field such as Math, CS, or Quantitative Business Analysis.
• 5 years of directly related work experience.
• Preferred: Master’s in IT/Math/Statistics/Operations Research.
• Experience with SQL, Python, UNIX, MS Office, and data visualization tools.

Responsibilities

• Collect data from various departments and build analyses/trending/forecasting reports.
• Publish metrics dashboards and executive presentations.
• Develop processes and templates to standardize analyses and improve data quality.
• Ensure reporting accuracy and maintain data integrity controls.
• Communicate complex topics clearly to leadership and stakeholders.
• Prioritize business needs and manage deadlines.

Skills

Excel

PowerPoint

Word

Access

SQL

Python

UNIX

MS Office

Data visualization tools

SDLC

Analytical skills

Data-driven decisions

Education

Bachelor's Degree in Math/CS/Quantitative Business Analysis

Master's Degree in IT/Math/Statistics/Operations Research

Tools

SQL

Python

UNIX

MS Office

Data visualization tools

Job description

Highmark Health in Cheyenne, WY seeks a data analytics professional to drive collection, analysis, and reporting of key performance indicators. You will design dashboards, export and transform data, and translate business requirements into actionable insights across cross-functional teams.

The role emphasizes building scalable analysis processes, ensuring data quality, and presenting findings to leadership. A strong background in SQL, Python, and data visualization is preferred.