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Senior Data Analyst

Orion180 Insurance Service

Senior Data Analyst Draper, Utah, United States – Information Technology About this position At Orion180, we deliver an exceptional insurance experience through innovative technology, unparalleled customer service, and a comprehensive suite of products. Our vision is to be the premier global provider of insurance solutions and redefine the insurance industry. We operate from three vibrant locations: Melbourne (Florida), Irving (Texas), and Draper (Utah). Each site offers a unique blend of culture, technology talent, and community. What you'll do Data Strategy & Pipeline Development : Develop and maintain reproducible, scalable data pipelines to support advanced modeling and analytics workflows. Design and implement predictive and time‑series models using classical and machine learning methods. Collaborate with sales, underwriting, claims, and actuarial teams to integrate models into production environments. Modeling & Analysis : Leverage Python, SQL, and statistical analysis to identify key data patterns and multivariate correlations. Conduct exploratory data analysis and ensure data integrity across structured and unstructured datasets. Document model assumptions, governance processes, and validation results to maintain compliance with regulatory standards. Visualization & Communication : Build intuitive dashboards and data visualizations using Power BI that translate complex insights into clear business intelligence. Communicate findings and recommendations to cross‑functional teams, including leadership and technical partners. Stay current with industry trends and emerging data science tools to continuously improve analytical capabilities. What we’re looking for Education & Work Authorization : Bachelor’s degree in Statistics, Data Science, Computer Science, Mathematics, or a related field. U.S. Citizen or Green Card holder is required. Experience : Proven experience in data analysis, modeling, and visualization within the insurance or financial services industry. Proficiency in Python, SQL optimization, statistical modeling, API development, and forecasting techniques. Hands‑on experience with cloud platforms such as AWS, Azure, or GCP and familiarity with MLOps frameworks. Strong understanding of both data science and actuarial principles. Skills & Attributes : Excellent analytical, problem‑solving, and critical‑thinking skills. Strong communication and collaboration abilities across technical and non‑technical teams. Ability to manage multiple projects in a fast‑paced and results‑driven environment. Benefits Dynamic environment: On‑site role with a fast‑paced and collaborative team culture. Compensation: Competitive base pay and performance bonuses. Career growth: Mentorship, growth tracks, and professional development. Benefits: Medical, dental, vision, 401(k), paid holidays, PTO and more. Physical & Work Environment While performing general duties for this position, the employee is regularly required to sit, stand, and/or walk around (including the use of stairs). Other demands include the ability to openly communicate with others by talking, listening, comprehending, and reading; being able to lift light objects (≤25 lbs); and using standard office equipment such as computers, printers, and phones. Occasional need to bend, twist, or squat down to open/close cabinets and reach for files or other standard office-type objects. Employees must be willing and able to work their regularly assigned work schedule onsite and, when required, extend hours depending on company or departmental needs, project requirements, or customer demands. Equal Opportunity Employer Orion180 is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. Reasonable accommodations are available for qualified individuals with disabilities during the application process. Applicants who need accommodations may call View phone number on click.appcast.io to request assistance. #J-18808-Ljbffr

Vacancy posted 7 hours ago
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