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At Home Insurance Data Analytics Jobs in Utah (NOW HIRING)

In Home Caregiver

Provo, UT ยท On-site

$16 - $18/hr

Right at Home provides all the training you need to care for beloved Utah Valley seniors. Come join ... Valid driver's license and insured car * Clean background and drug checks Applying is easy-just ...

In Home Caregiver Aide

Provo, UT ยท On-site

$16 - $18/hr

Valid driver's license and insured car Compensation: $16.00 - $18.00 per hour Right at Home's mission is simple...to improve the quality of life for those we serve. We accomplish this by providing ...

Data Engineer

Salt Lake City, UT ยท On-site

$110K - $133K/yr

You will play a key role in advancing our data analytics capabilities, ensuring data is reliable ... At Packsize, we welcome applicants of all backgrounds and experiences and understand that the best ...

In Home Caregiver Aide

Provo, UT ยท On-site

$16 - $18/hr

Valid driver's license and insured car * Clean background and drug checks Compensation: $16.00 - $18.00 per hour Right at Home's mission is simple...to improve the quality of life for those we serve.

Data Engineer

Salt Lake City, UT ยท On-site +1

$110K - $133K/yr

You will play a key role in advancing our data analytics capabilities, ensuring data is reliable ... At Packsize, we welcome applicants of all backgrounds and experiences and understand that the best ...

In Home Caregiver NIGHTSHIFT

Provo, UT ยท On-site

$16 - $18/hr

Right at Home is seeking compassionate caregivers to provide one-on-one care for seniors during ... Valid driver's license and insured vehicle * English proficiency (spoken and written) * Clean ...

Data Strategy-Manager

Salt Lake City, UT ยท On-site

$99K - $232K/yr

In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data ...

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 ...

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 ...

In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data ...

... advanced analytics, with at least 5 years in a leadership role managing large teams. Proven ... Pet insurance * Employee resource groups Waystar is proud to be an equal opportunity workplace. We ...

... advanced analytics, with at least 5 years in a leadership role managing large teams. * Proven ... Pet insurance * Employee resource groups Waystar is proud to be an equal opportunity workplace. We ...

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

Showing results 41-60

At Home Insurance Data Analytics information

What is an at home insurance data analytics?

An At Home Insurance Data Analytics job involves working remotely to analyze data related to insurance policies, claims, customer trends, and risk factors. Professionals in this role use statistical methods and specialized software to interpret large datasets and provide insights that help insurance companies make informed business decisions. The tasks may include data cleaning, reporting, predictive modeling, and collaborating with other teams to optimize products or processes. Working from home provides flexibility, but it also requires strong communication skills and self-motivation. This role is essential for helping insurance companies stay competitive and efficient in a data-driven industry.

What types of data sources and tools will I typically work with as an at home insurance data analytics professional?

As an At Home Insurance Data Analytics professional, you'll regularly handle data from policy management systems, claims databases, customer interactions, and external risk assessment sources. You'll use tools like SQL for data extraction, Python or R for analysis, and data visualization platforms such as Tableau or Power BI to present insights. Collaboration with underwriting, claims, and IT teams is common to ensure data accuracy and actionable reporting. This role offers exposure to both structured and unstructured data, requiring a balance of technical skills and insurance industry knowledge.

What are the key skills and qualifications needed to thrive as an at home insurance data analytics professional?

To thrive in At Home Insurance Data Analytics, you need strong analytical skills, a background in statistics or mathematics, and experience with insurance data, often supported by a relevant degree. Proficiency with data analysis tools such as SQL, Python, R, and business intelligence platforms like Tableau or Power BI is typically required. Strong problem-solving, attention to detail, and effective communication skills help translate complex data insights for stakeholders. These skills ensure accurate risk assessment, data-driven decision-making, and effective remote collaboration in the insurance industry.

What is the difference between At Home Insurance Data Analytics vs Insurance Data Analyst?

AspectAt Home Insurance Data AnalyticsInsurance Data Analyst
Required CredentialsBachelor's degree in statistics, data science, or related field; knowledge of insurance industryBachelor's degree in mathematics, statistics, or related field; industry-specific knowledge beneficial
Work EnvironmentRemote or home-based, collaborating with insurance teamsTypically office-based, but may include remote options; working with insurance data teams
Employer & Industry UsageInsurance companies, brokers, and agencies analyzing policy dataInsurance firms, consulting agencies, or analytics firms focusing on insurance data

At Home Insurance Data Analytics involves remote data analysis specifically tailored to insurance data, often with a focus on policy and claims data. Insurance Data Analysts may work in similar environments but are often based in-office and may handle broader data analysis tasks across various industries. Both roles require similar skills and education, but At Home Insurance Data Analytics emphasizes remote work within the insurance sector.

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:

Data Scientist/Analyst/Engineer - Entry/Junior Level

SynergisticIT

Brigham City, UT โ€ข On-site

Other

Posted 27 days ago


Job description

LeetCode Strong but Still Unemployed? Build Real-World Project Proof Solving coding problems is important, but LeetCode alone does not always convince employers that you are job-ready. Hiring teams also want to see whether you can build applications, work with frameworks, connect databases, use Git, explain architecture, debug issues, and collaborate in realistic development workflows. SynergisticIT is looking for candidates interested in Java, Spring Boot, full-stack development, APIs, SQL, Git, DevOps basics, Python, data analytics, data science, and ML/AI tracks. This opportunity is ideal for candidates who have strong algorithm practice but need stronger project and interview positioning. Since 2010, weโ€™ve helped thousands of candidates land full-time jobs at tech leaders like Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Intel, Paypal, JPMC, Wayfair, BOA, CITI and hundreds more with Job offers of $95k to $154k. Synergisticit focuses on closing the gap between your tech skills and what employers want now. Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/Data Engineers/ Data Scientists, Machine Learning engineers for full time positions with clients. We Focus on Java /Full stack/Devops and Data Science /Data Engineers/Data analysts/BI Analysts/ Machine learning/AI candidates Ideal Candidates: Recent grads in CS, Engineering, Math, or Statistics with limited or no job experience Jobseekers who had layoffs due to Downsizing and want to get in demand tech stack Professionals seeking a career switch to tech Candidates with career gaps or lacking real-world experience Individuals looking to boost their skill portfolio for better job prospects Computer Science grads with limited or no job experience Students who recently finished their Bachelorโ€™s or Masterโ€™s programs Those struggling to land interviews despite having experience please read our blogs ยท Why do Tech Companies not Hire recent Computer Science Graduates | https://www.synergisticit.com/why-tech-companies-dont-hire-recent-cs-graduates/ ยท Technical Skills or Experience? | Which one is important to get a Job? | https://www.synergisticit.com/tech-skill-or-experience-which-one-is-more-important-for-a-jobseeker/ Please check below links: Synergisticit Industry Event videos (OCW, JavaOne, Gartner data Analytics): https://fast.wistia.com/embed/channel/k4mlq69ekl USA Today feature Discover JOPP: https://www.synergisticit.com/jopp/ Contact: https://www.synergisticit.com/contact-us/ SynergisticIT JOPP is good for LeetCode-focused candidates because it helps convert coding ability into a more complete job-ready profile. Candidates can build practical applications, prepare for technical and behavioral interviews, improve resume storytelling, and align their skills with employer expectations beyond algorithms. Turn coding practice into career readinessโ€”contact us Please note: Resume databases are shared with clients and interested clients will reach out directly if they find a qualified candidate for their req. Resume submissions may be shared with our JOPP team database also. Please unsubscribe if contacted or if you donโ€™t want to be contacted please donโ€™t submit your resume.