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Internship Insurance Data Analytics Jobs in Utah

Inside Real Estate

Senior Data Analyst

Murray, UT · On-site +1

$80.80K - $101.90K/yr

... predictive analytics to join our team. The ideal candidate will combine strong statistical ... Basic Employee Life Insurance - company-paid * Voluntary Dependent Life Insurance * Voluntary ...

Swig Support Team

Supply Chain Analyst

Sandy, UT

Bachelor's degree in Supply Chain, Business, Data Analytics, or related field preferred; relevant internships or coursework a plus. * No prior professional experience required, though 0-2 years in ...

WGU

Senior Data Analyst - Equity Research

Salt Lake City, UT · On-site

$88.30K - $132.40K/yr

Bachelor's degree in a related field. * 5+ years of experience in data analytics, institutional ... insurance; disability coverage; accident, critical illness and hospital indemnity supplemental ...

New

R.C. Willey

Data Engineer II

Salt Lake City, UT · On-site +1

$120K/yr

Data Engineer II RC Willey is seeking a Data Engineer to collect, analyze, and interpret data that ... Medical, dental, vision and life insurance * Generous discounts on merchandise * Tuition ...

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 ...

Smarty

Head of Enterprise Analytics

Orem, UT · On-site

This role thrives in ambiguity and the space between what the data shows and what it means. This is ... Competitive compensation (DOE) * 100% paid health, dental, and basic life insurance premiums ...

Armaninollp

Data & AI Platform Engineer

Salt Lake City, UT · On-site

$110.80K - $133.10K/yr

Minimum 2 years in a data engineering, platform engineering, analytics engineering, or cloud operations role (internships/co-ops count). * Comfort with one or more of the following areas (not all)

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Internship Insurance Data Analytics information

What are the key skills and qualifications needed to thrive as an Insurance Data Analytics Intern, and why are they important?

To thrive as an Insurance Data Analytics Intern, you need a solid understanding of statistics, data analysis, and basic insurance concepts, often supported by coursework in mathematics, economics, or computer science. Familiarity with tools such as Excel, SQL, Python, and data visualization platforms like Tableau is typically expected. Strong attention to detail, analytical thinking, and effective communication skills help you interpret data and present findings clearly. These skills are crucial for accurately analyzing insurance data, supporting business decisions, and contributing meaningful insights to the team.

What types of projects can I expect to work on during an Insurance Data Analytics internship?

As an Insurance Data Analytics intern, you will typically assist with analyzing large datasets to identify trends, assess risk factors, and support decision-making for underwriting or claims teams. Your daily tasks might include data cleaning, building dashboards, and generating reports using tools like Excel, SQL, or Python. You'll likely collaborate closely with experienced data analysts, actuaries, and other departments to translate data insights into actionable business strategies. These projects offer valuable exposure to industry-standard analytics practices and contribute to real business outcomes.

What is an Internship in Insurance Data Analytics?

An Internship in Insurance Data Analytics is a temporary position for students or recent graduates to gain practical experience analyzing data within the insurance industry. Interns typically assist with collecting, interpreting, and presenting data to help insurance companies make informed decisions about risk, pricing, and customer trends. The role often involves using statistical tools, working with large datasets, and supporting data-driven projects. It provides valuable exposure to both the insurance sector and the field of data analytics, helping interns develop technical and professional skills.
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:
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Internship Insurance Data Analytics jobs near you
Intern-Commercial Analytics (Promotions, Customer & DTC Analytics)

Intern-Commercial Analytics (Promotions, Customer & DTC Analytics)

Nature's Sunshine Products

Lehi, UT • On-site

Part-time

This job post has expired today. Applications are no longer accepted.

Job description

Overview
Nature's Sunshine is seeking a highly analytical intern to support data-driven decision making across promotions, customer behavior, and direct-to-consumer performance.
This role focuses on understanding how promotions, pricing, and customer dynamics influence purchasing behavior. You will work with transaction-level data to evaluate promotion effectiveness, analyze customer behavior, and support development of predictive insights.
Responsibilities
  • Analyze promotion performance (discounts, bundles, campaigns) to measure incremental lift and impact on customer behavior
  • Evaluate how promotions influence repeat purchase, stock-up behavior, and purchase timing
  • Build customer segmentations using behavioral data (e.g., purchase frequency, recency, spend)
  • Support development of models to estimate:
    • likelihood to purchase
    • response to promotions
    • repeat purchase / churn risk
  • Analyze cohort behavior (e.g., customers acquired through promotions vs. non-promotional periods)
  • Work with transaction-level datasets to create features (recency, frequency, monetary value, promotion exposure)
  • Translate analysis into clear insights to support marketing and commercial decisions

Qualifications
  • Pursuing a degree in Statistics, Data Science, Business Analytics, Applied Math, Economics (quantitative), or similar
  • Coursework or project experience in statistics or data analysis, including:
    • regression (linear or logistic)
    • hypothesis testing or statistical inference
  • Demonstrated experience working with data beyond basic Excel (through class projects, research, or internships)
  • Familiarity with at least one of the following:
    • SQL
    • Python (pandas, numpy, or similar)
    • R
  • Experience or exposure (coursework or projects) to at least one of:
    • customer segmentation (e.g., RFM, clustering)
    • predictive modeling (e.g., propensity, churn, classification problems)
    • analyzing customer or transaction-level datasets
  • Ability to explain analytical work clearly and connect results to business questions

Nice to have
  • Experience analyzing marketing or promotion-related data (coursework or projects is sufficient)
  • Exposure to A/B testing or evaluating campaign performance
  • Familiarity with data visualization tools (Power BI, Tableau, etc.)

Nature's Sunshine is dedicated to being a Force of Nature that champions social and environmental wellness. We are focused on building a team of professionals with diverse backgrounds and experiences to become the natural supplement company of the future. By celebrating the individuality and unique perspectives of our workforce, we empower our employees to share the healing power of nature with more people around the world. And through our commitment to sustainable processes, renewable energy usage and waste reduction initiatives, we're devoted to preserving nature and its power for future generations.
We believe we are stronger together, and our ongoing commitment to diversity, equity, inclusion and belonging ensures that every employee is treated with fairness and respect. Because doing what's right-in the right way-is how we succeed as a company and a society.

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