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Senior Insurance Data Analytics Jobs in Utah (NOW HIRING)

PACS

Senior DataBI Analyst

Salt Lake City, UT · On-site

$83K - $105K/yr

Required : • 3-5 years of experience in a data analytics, data engineering, or BI analyst role. • Proven ability to build and manage data pipelines independently, from ingestion to reporting. • ...

nCino

Senior Data Scientist

Lehi, UT · On-site

$107K - $183K/yr

As a Senior Data Scientist, you will collaborate with cross-functional stakeholders to identify ... Your passion and advanced knowledge in data analysis, statistics, AI, and machine learning will be ...

nCino OpCo

Senior Data Scientist

Lehi, UT · On-site

$107K - $183K/yr

As a Senior Data Scientist, you will collaborate with cross-functional stakeholders to identify ... Your passion and advanced knowledge in data analysis, statistics, AI, and machine learning will be ...

BambooHR

Sr. Data Governance Engineer

Draper, UT

$99K - $134K/yr

Analyze and validate data to ensure it's accurate, complete, and consistent * Build AI agents to ... Comprehensive health, life, and disability insurance * Generous leave policies that include 4 weeks ...

PACS

Senior DataBI Analyst

Farmington, UT · On-site

$100/hr

Stay current with best practices in data engineering, analytics, and the Microsoft Fabric ecosystem. * Write Python scripts and Jupyter notebooks for data extraction, transformation, and automation ...

challenger

Data Warehouse Analytics Specialist

Sandy, UT

$17 - $21.75/hr

Medical, dental, and vision insurance * 401(k) * Paid time off * Professional development opportunities * Long-term career growth in analytics, data warehousing, semantic modeling, data governance ...

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Senior Insurance Data Analytics information

What are the key skills and qualifications needed to thrive as a senior insurance data analytics professional?

To thrive as a Senior Insurance Data Analytics professional, you need a strong background in statistics, data analysis, and domain knowledge of insurance, often supported by a degree in mathematics, statistics, or a related field. Expertise in data analytics tools such as SQL, Python, R, and experience with business intelligence platforms like Tableau or Power BI are typically required. Strong problem-solving skills, attention to detail, and the ability to communicate complex insights clearly set top performers apart in this role. These skills are crucial for driving data-driven decision-making, identifying business opportunities, and improving risk assessment and operational efficiency within insurance organizations.

What does a senior insurance data analytics professional do?

A Senior Insurance Data Analytics professional analyzes large datasets to help insurance companies make informed decisions about risk, pricing, claims, and customer behavior. They use statistical methods, data modeling, and business intelligence tools to uncover trends and insights that can improve operational efficiency and profitability. In addition to interpreting complex data, they often collaborate with other departments to develop data-driven strategies and may oversee or mentor junior analysts within the team.

What is the difference between Senior Insurance Data Analytics vs Insurance Data Analyst?

AspectSenior Insurance Data AnalyticsInsurance Data Analyst
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related field; often with experience in insurance analyticsBachelor's in related field; entry to mid-level experience
Work EnvironmentSenior roles often involve leadership, project management, and strategic planning within insurance companiesFocus on data collection, analysis, and reporting under supervision or team guidance
Employer & Industry UsageUsed across insurance firms, especially in analytics, underwriting, and actuarial departmentsCommonly employed in insurance companies, focusing on data processing and reporting

Senior Insurance Data Analytics professionals typically have more experience, advanced skills, and leadership responsibilities compared to Insurance Data Analysts. While both roles require strong analytical skills and familiarity with insurance data, seniors often oversee projects, develop strategies, and mentor junior staff, whereas analysts focus on data analysis and reporting tasks.

What are some common challenges faced by senior insurance data analytics professionals when working with large and complex datasets?

Senior Insurance Data Analytics professionals often encounter challenges such as integrating data from multiple legacy systems, ensuring data quality and accuracy, and managing sensitive information in compliance with regulations. Additionally, translating complex analytical findings into actionable insights for non-technical stakeholders can be demanding. Overcoming these challenges requires strong technical skills, clear communication, and close collaboration with IT, underwriting, and actuarial teams.
What are the most commonly searched types of Insurance Data Analytics jobs in Utah? The most popular types of Insurance Data Analytics jobs in Utah are:
What cities in Utah are hiring for Senior Insurance Data Analytics jobs? Cities in Utah with the most Senior Insurance Data Analytics job openings:
Senior Insurance Data Analytics jobs near you

Senior DataBI Analyst

PACS

Salt Lake City, UT • On-site

$83K - $105K/yr

Full-time

Re-posted 17 days ago

Job description

Job Summary:
PACS is revolutionizing post-acute healthcare and support services nationally, and they are seeking a skilled Data / Business Intelligence Analyst to join their team. The role involves building data infrastructure, creating actionable insights from complex datasets, and collaborating with stakeholders to meet data needs.
Responsibilities:
• Design, build, and maintain scalable data pipelines using Microsoft Fabric/Delta Lake medallion architecture.
• Develop and optimize SQL queries for data retrieval, transformation, and analysis.
• Create and maintain data models that support accurate, consistent reporting across the business.
• Build and maintain reports and dashboards in Power BI or comparable BI tools.
• Write DAX measures and calculations to support complex business metrics.
• Collaborate with stakeholders to understand data needs and translate them into technical solutions.
• Ensure accuracy, reliability, and governance of data across all pipelines and reports.
• Troubleshoot data and issues and proactively identify opportunities for improvement.
• Document data models, pipeline logic, and reporting standards.
• Stay current with best practices in data engineering, analytics, and the Microsoft Fabric ecosystem.
• Write Python scripts and Jupyter notebooks for data extraction, transformation, and automation.
Qualifications:
Required:
• 3–5 years of experience in a data analytics, data engineering, or BI analyst role.
• Proven ability to build and manage data pipelines independently, from ingestion to reporting.
• Proficiency in Python, including scripting, notebooks, and data manipulation libraries (e.g., pandas, PySpark).
• Expert-level SQL skills, including complex joins, CTEs, window functions, and performance tuning.
• Hands-on experience with Microsoft Fabric and/or Delta Lake environments.
Preferred:
• Bachelor’s degree in a quantitative or technical field preferred.
Company:
PACS is a staffing and recruiting company that provides clinical training and employment services. Founded in 2012, the company is headquartered in Salt Lake City, USA, with a team of 501-1000 employees. The company is currently Late Stage.
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About PACS

Sourced by ZipRecruiter

Industry

Health care and social assistance

Company size

201 - 500 Employees

Headquarters location

Farmington, UT, US

Year founded

2013

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