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Insurance Data Analytics Jobs in Utah (NOW HIRING)

Wipro Limited

Data Analytics L1(CONTRACT)

Santa Clara, UT · On-site

$60K - $148K/yr

Data Analytics L1(CONTRACT) City: Santa Clara State/Province: California Posting Start Date: 7/30 ... insurance, paid time off (inclusive of sick leave), other paid and unpaid leave options. Applicants ...

New

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 ...

challenger

Data Warehouse Analytics Specialist

Sandy, UT · On-site

$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 ...

Collabera

Data Analyst

Salt Lake City, UT · Hybrid

... insurance, 401K retirement savings plan, Life Insurance, Disability Insurance. Role Purpose ... Assists in the analysis of underlying issues arising from investigations into requirements. Assists ...

Verisk

Analytics Engineer

Lehi, UT

Verisk is seeking an Analytics Engineer to help build the trusted data foundation that powers smarter decisions across the insurance ecosystem. In this role, you will partner with product ...

Bamboo Insurance

Senior Analytics Engineer

Midvale, UT · On-site

Experience in Property and Casualty insurance is strongly preferred. Key Responsibilities Data Modeling and Analytics Engineering * Design, build, and maintain analytical data models for reporting ...

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Insurance Data Analytics information

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$22

$49

$86

How much do insurance data analytics jobs pay per hour?

As of Aug 5, 2026, the average hourly pay for insurance data analytics in Utah is $49.84, according to ZipRecruiter salary data. Most workers in this role earn between $40.05 and $56.44 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in insurance data analytics?

To thrive in Insurance Data Analytics, you need a solid understanding of data analysis, statistics, and insurance industry concepts, usually supported by a degree in mathematics, statistics, finance, or a related field. Proficiency with analytical tools like SQL, Python, R, and data visualization platforms (such as Tableau or Power BI), as well as certifications like CPCU or advanced analytics credentials, are highly valued. Strong problem-solving abilities, attention to detail, and effective communication skills help analysts translate complex data into actionable business insights. These skills are crucial for driving informed decision-making, risk assessment, and operational improvements within insurance organizations.

What are the typical responsibilities of someone working in insurance data analytics?

Professionals in Insurance Data Analytics are responsible for collecting, cleaning, and analyzing large sets of insurance-related data to identify trends, assess risk, and inform business decisions. They commonly develop predictive models, generate reports, and provide actionable insights that help underwriting teams, actuarial staff, and business leaders optimize processes or pricing strategies. Day-to-day tasks may also include collaborating with IT and business units to define data requirements, presenting findings to non-technical stakeholders, and ensuring data integrity. This role often involves a mix of independent analysis and team-oriented projects, offering a dynamic and engaging work environment for problem solvers.

How is data analytics used in insurance?

In insurance, data analytics is used by professionals to assess risk, set premiums, detect fraud, and improve customer segmentation. Analysts utilize tools like statistical models and machine learning algorithms to interpret large datasets, enabling more accurate underwriting and claims management. Strong analytical skills and knowledge of data visualization are essential for effective decision-making in this field.

What does a data analyst do in insurance?

An insurance data analyst examines large datasets to identify trends, assess risk, and support decision-making processes within insurance companies. They use tools like Excel, SQL, and data visualization software to interpret claims, policy data, and customer information, helping improve underwriting, pricing, and fraud detection.

Is data analytics a high paying job?

Data analytics roles, including those in insurance data analytics, are generally considered well-paying compared to many other entry-level positions. Salaries vary based on experience, skills, and location, but professionals with expertise in tools like SQL, Python, or R often earn competitive wages and have strong job growth prospects.

How much does an insurance data analyst make?

The average salary for an insurance data analyst typically ranges from $60,000 to $90,000 annually, depending on experience, location, and industry. Professionals with advanced skills in data visualization, statistical analysis, and tools like SQL or Python may earn higher salaries, especially in larger organizations or metropolitan areas.

What is insurance data analytics?

An Insurance Data Analytics job involves analyzing large volumes of insurance-related data to identify trends, assess risks, detect fraud, and improve decision-making. Professionals in this field use statistical models, machine learning, and data visualization tools to extract insights that help insurers optimize pricing, enhance customer experience, and reduce losses. They work with claims data, policyholder information, and external data sources to drive business strategy. Strong analytical skills, proficiency in data tools like SQL, Python, or R, and knowledge of insurance principles are essential for success in this role.

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 are popular job titles related to Insurance Data Analytics jobs in Utah? For Insurance Data Analytics jobs in Utah, the most frequently searched job titles are:
What job categories do people searching Insurance Data Analytics jobs in Utah look for? The top searched job categories for Insurance Data Analytics jobs in Utah are:
What cities in Utah are hiring for Insurance Data Analytics jobs? Cities in Utah with the most Insurance Data Analytics job openings:
Insurance Data Analytics jobs near you
Infographic showing various Insurance Data Analytics job openings in Utah as of July 2026, with employment types broken down into 92% Full Time, 6% Part Time, and 2% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution, with an average salary of $103,667 per year, or $49.8 per hour.

Data Analytics L1(CONTRACT)

Wipro Limited

Santa Clara, UT • On-site

$60K - $148K/yr

Full-time

Medical, Dental, PTO

Posted 3 days ago

New

Wipro rating

7.8

Company rating: 7.8 out of 10

Based on 27 frontline employees who took The Breakroom Quiz

86th of 221 rated it services

Job description

Job Title: Data Analytics L1(CONTRACT)
City: Santa Clara
State/Province: California
Posting Start Date: 7/30/26
Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a leading technology services and consulting company focused on building innovative solutions that address clients' most complex digital transformation needs. Leveraging our holistic portfolio of capabilities in consulting, design, engineering, and operations, we help clients realize their boldest ambitions and build future-ready, sustainable businesses. With over 230,000 employees and business partners across 65 countries, we deliver on the promise of helping our customers, colleagues, and communities thrive in an ever-changing world. For additional information, visit us at www.wipro.com.
Job Description:
Job Description
Role Purpose
The purpose of this role is to Data Analytic and design of the system by defining the various functionalities, architecture, layout and implementation for a client
͏
Key skills are :
Data & Analytics Technologies
SQL - Advanced querying, data extraction, analysis.
Python - Data processing, analytics, scripting.
Data Visualization
Power BI - Dashboard creation, interactive reports.
Tableau - Data visualization and analytics dashboards.
Cloud & Data Platforms
AWS
Azure
Databricks
Familiarity with modern data platforms:
Data lakes
Data warehouses
Snowflake, Redshift
Data Engineering & Quality
Understanding of: Data models, Data pipelines, Data mappings
Data quality concepts: - Completeness, accuracy, consistency, timeliness
Ability to define validation rules, KPIs, and reconciliation logic.
Manufacturing & Operations Data Systems
Knowledge of: Manufacturing Execution Systems (MES), Test data systems, Supply chain systems, working with manufacturing event data, test logs, build data, quality metrics.
Competencies
Client Centricity
Passion for Results
Execution Excellence
Collaborative Working
Learning Agility
Problem Solving & Decision Making
Effective communication
Mandatory Skills: VLSI Board Design.
Experience: 5-8 Years.
The expected compensation for this role ranges from $60,000 to $148,500 .
Final compensation will depend on various factors, including your geographical location, minimum wage obligations, skills, and relevant experience. Based on the position, the role is also eligible for Wipro's standard benefits including a full range of medical and dental benefits options, disability insurance, paid time off (inclusive of sick leave), other paid and unpaid leave options.
Applicants are advised that employment in some roles may be conditioned on successful completion of a post-offer drug screening, subject to applicable state law.
Wipro provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. Applications from veterans and people with disabilities are explicitly welcome.
Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention.

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