Data Analyst III

Fuse3 Solutions; Oklahoma; On-site; USD 100,000 - 120,000; Full time

Benefits offered by this job

Strong benefits

Bonus packages

Job summary

Fuse3 Solutions is seeking a highly analytical Data Analyst III to join a well‑established insurance organization in Oklahoma City. The role focuses on transforming complex datasets into actionable insights to support decision‑making, risk assessment, forecasting, and operational improvement.

The ideal candidate will have actuarial science background, predictive analytics, and strong modeling skills, with experience in SAS/R/Python or Stata and SQL Server.

Qualifications

• Bachelor’s degree in a quantitative field is required.
• Advanced proficiency in statistical programming languages (SAS, R, Python, or Stata).
• Strong SQL development and database querying in Microsoft SQL Server environments.
• Experience with data visualization tools such as Tableau or Qlik Sense.

Responsibilities

• Design, develop, and execute advanced predictive modeling and data mining initiatives delivering measurable value.
• Analyze large datasets to identify trends, risks, and actionable insights.
• Support actuarial and business research through demographic analysis and forecasting.
• Develop forecasting models and analytical frameworks to support strategic planning.

Skills

SAS

R

Python

Stata

Education

Bachelor’s degree in Actuarial Science, Statistics, Mathematics, Data Science, Economics, Finance, Computer Science, or related field

Tools

SQL Server

Tableau

Qlik Sense

Job description

Data Analyst III, Oklahoma City, OK

Compensation: $100,000 - $120,000 depending on experience, plus strong benefits and bonus packages

Fuse3 Solutions is seeking a highly analytical Data Analyst III to join a well-established insurance organization. Ideal candidates will have a strong background in actuarial science, predictive analytics, statistical modeling, and data science. This individual will play a key role in transforming complex datasets into actionable business insights that support strategic decision‑making, risk assessment, forecasting, and operational improvement initiatives.

Key Responsibilities

• Design, develop, and execute advanced predictive modeling, statistical analysis, and data mining initiatives that deliver measurable business value.
• Analyze large, complex datasets to identify trends, opportunities, risks, and actionable insights.
• Support actuarial and business research initiatives through demographic analysis, market trend evaluation, behavioral economics research, and socioeconomic forecasting.
• Develop forecasting models, risk assessments, and analytical frameworks to support strategic planning and business decision‑making.

Required Qualifications

• Bachelor’s degree in Actuarial Science, Statistics, Mathematics, Data Science, Economics, Finance, Computer Science, or a related quantitative field required.
• Advanced proficiency in one or more statistical programming languages such as SAS, R, Python, or Stata.
• Strong SQL development and database querying experience within Microsoft SQL Server environments.
• Experience with data visualization tools such as Tableau, Qlik Sense, or similar platforms.
• Actuarial credentials (ASA, ACAS, FSA, FCAS, or similar) are highly valued and may substitute for certain advanced educational requirements.

No sponsorship or C2C candidates able to be considered