Senior Decision Support & Data Analytics Lead

Highmark Health; Boise (ID); On-site; USD 94,000 - 151,000; Full time

Job summary

Highmark Inc. in Boise, Idaho, seeks a seasoned Decision Support Analyst to collaborate with customers and design teams, prioritizing data requirements and translating them into analytical applications.

You will model data sources, define workflows, and support decision support systems that empower business decisions. You will mentor colleagues, lead complex data projects, and work with SAS, R, SQL and DB2/Teradata/Oracle to deliver secure knowledge.

Qualifications

• Bachelor's degree in a related technical field required.
• 7+ years of relevant experience, with leadership of projects.

Responsibilities

• Develop and foster internal relationships across the corporation.
• Mentor colleagues on technical and business aspects of project work.
• Define DSS requirements and translate to applications with reporting tools.
• Lead methodologies for studies and new analysis methods.
• Model data sources and implement policies for secure delivery of information.
• Interpret raw data and present findings to internal/external audiences.
• Develop complex programs using SAS, R, SQL and DB2/Teradata/Oracle.
• Other duties as assigned.

Skills

Mainframe tech

Large databases

Communication skills

Education

Bachelor's Degree in Computer/Information Science, Mathematics/Statistics, Economics, Industrial Engineering, Operations Research, or related field

Master's Degree in Computer/Information Science, Mathematics/Statistics, Economics, Industrial Engineering, Operations Research, or related field

Tools

SAS

R

SQL

DB2

Teradata

Oracle

Job description

Highmark Inc. in Boise, Idaho, seeks a seasoned Decision Support Analyst to collaborate with customers and design teams, prioritizing data requirements and translating them into analytical applications.

You will model data sources, define workflows, and support decision support systems that empower business decisions. You will mentor colleagues, lead complex data projects, and work with SAS, R, SQL and DB2/Teradata/Oracle to deliver secure knowledge.