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

Safety Data Analyst

Salt Lake City, UT · On-site

$37K - $52K/yr

Formal education in data analytics, statistics, quantitative methods, data collection, data ... Ability to sit for extended periods while working at a computer. * Ability to travel occasionally ...

Safety Data Analyst

Saint George, UT · On-site

$37K - $52K/yr

Formal education in data analytics, statistics, quantitative methods, data collection, data ... Ability to sit for extended periods while working at a computer. * Ability to travel occasionally ...

Data Architect

Salt Lake City, UT · On-site

$61.25 - $78.75/hr

Data Architect At Krux, Innovation Happens Together, by being a true partner to our customers, by ... Monitor and improve analytical database performance in cloud environments * Conduct model tuning ...

Data Architect

Salt Lake City, UT · On-site

$61.25 - $78.75/hr

Data Architect At Krux,Innovation Happens Together, by being a true partner to our customers, by ... Monitor and improve analytical database performance in cloud environments * Conduct model tuning ...

Data Engineer

Salt Lake City, UT · On-site

$110K - $133K/yr

... analysis and data models Company : RC Willey is a home furnishings company with stores in Utah, Idaho, Nevada and California. It is a sub-organization of Berkshire Hathaway. Founded in 1932, the ...

... biometric data per health system protocols * Promotes adherence to institutional standards and ... Participates in quality and safety investigations and root cause analyses as required byleadership

... Google Analytics. - Familiar with the basic fundamentals of data visualization, and at least one data visualization tool or package (Tableau, PowerBI, LookerStudio/Data Studio Plot.ly, Seaborn ...

Home Care Aide

Provo, UT · 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.

In Home Caregiver

Provo, UT · 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 ...

Showing results 21-40

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:

Full-time

Posted 3 days ago

New


Church of Jesus Christ of Latter-day Saints rating

8.6

Company rating: 8.6 out of 10

Based on 82 frontline employees who took The Breakroom Quiz

3rd of 18 rated religious organizations


Job description

This position is part of the BYU-Pathway Institutional Research (IR) team, which makes data visible and actionable for organizational decision-makers and implementation teams. BYU-Pathway operates with more of a start-up feel than is common in higher education research, creating significant opportunity for innovation and analytical impact. Leadership relies on IR to explain initiative performance, monitor key performance indicators, conduct applied research, and forecast future institutional outcomes.
This position is centered on transforming institutional data and research into trusted analytic products, clear findings, and actionable guidance. The incumbent will build and maintain reporting products, execute research projects, steward complex analytic methods, support shared reporting standards, and coordinate with internal and partner-organization stakeholders. Success requires strong technical capability, disciplined research practice, sound judgment, and the ability to communicate clearly with both technical and non-technical audiences.

Work Schedule: This is a full-time benefitted position located within commuting distance of BYU-Pathway headquarters in downtown Salt Lake City. The position is hybrid-remote, currently requiring 1-3 days per week in the office, and the incumbent must physically reside and perform assigned work in Utah. Occasional travel will be necessary.

Church employees find joy and satisfaction in using their unique talents and abilities to further the Lord's work. From the IT professional who develops an app that sends the gospel message worldwide, to the facilities manager who maintains our buildings- giving Church members places to worship, teach, learn, and receive sacred ordinances-our employees seek innovative ways to share the gospel of Jesus Christ with the world. They are literally working in His kingdom.
Only members of the Church who are worthy of a temple recommend qualify for employment. Apart from this, the Church is an equal opportunity employer and does not discriminate in its employment decisions on any basis that would violate U.S. or local law.
Qualified applicants will be considered for employment without regard to race, national origin, color, gender, pregnancy, marital status, age, disability, genetic information, veteran status, or other legally protected categories that apply to the Church. The Church will make reasonable accommodations for qualified individuals with known disabilities.

Education
Bachelor's degree in statistics, data science, computer science, economics, mathematics, educational assessment, social science research, or another quantitative field. Master's degree preferred.


Experience
Experience in business intelligence, data analytics, reporting, or institutional research. Experience integrating data from multiple systems and supporting organizational decision-making is preferred.


Required Skills
    Power BI (reports, data models, Dataflows, Power Query, DAX)
    Proficiency in SQL for extracting, validating, and shaping data for analysis and reporting
    Data integration and data quality validation procedures
    Understanding of data lifecycle and reporting architecture
    Strong research design skills, including translating stakeholder needs into measurable questions, defining outcomes, selecting methods, and documenting assumptions and limitations
    Statistical analysis[DW4.1] and quantitative reasoning (descriptive and inferential) 
    Data visualization skills (technical and soft skills) which integrates analytics, design, and storytelling
    Strong written and verbal communication
 

Preferred Skills[DW5.1]
    Survey design, administration, and reporting (particularly in Qualtrics).
    Semantic models and data modeling
    R programming experience
    Experience in designing and synthesizing qualitative research (e.g., interviews, focus groups, and mixed-methods synthesis).
    Experience in higher education or institutional research
    Experience with learning analytics and assessment
 

1. Develop and Maintain Reporting & Analytics Solutions
  • Develop and maintain PowerBI dashboards, reports, semantic models, and dataflows.
  • Integrate data from multiple institutional systems to create reliable trend analyses, especially directed at the management and reporting of core institutional forecasting operations
  • Develop and manage recurring surveys and associated reporting processes using approved data collection instruments[DW1.1][KG1.2] and channels (e.g. Qualtrics)
  • Automate reporting workflows, including appropriate use of AI-assisted tools where they improve efficiency and quality.
  • Promote and maintain data life-cycle documentation by helping define business terminology, metadata standards, and data lineage to strengthen institutional data context and discoverability
2. Applied Research and Advanced Analysis
  • Collaborate with stakeholders to understand business questions and analytical needs.
  • Gather, prepare, and analyze institutional data to support applied research and organizational decision-making.
  • Apply statistical and analytical techniques to identify trends, relationships, and opportunities.
  • Conduct research using a variety of quantitative and qualitative methods appropriate to the project, making use of current best practices.
  • Regularly summarize findings for BYU-Pathway stakeholder and executive leadership through reports, dashboards, presentations, and visualizations
3.  Decision Support and Project Management
  •  Respond to ad hoc data requests and perform deep-dive analyses.
  •  Partner with request and project stakeholders to define requirements, clarify analytic assumptions, and promote consistent interpretation of impact and metrics.
  • Working with IR team and Pathway leadership, prioritize and manage project lifecycles and outcomes according to stakeholder expectations and delivery deadlines.
4. Reporting Standards and Data Quality
  • Maintain and update shared standards and practices used in reporting, analytics, and related operational workflows
  • Ensure reporting designs and data collections align with church, CES and BYU-Pathway data governance protocols and requirements
  • Identify inconsistencies in data or reporting procedures and recommend improvements
5. Facilitate cross-organization partnerships
  • Collaborate with partner organizations on shared reporting and analytics initiatives
  • Support effective adoption of reporting solutions through clear documentation, user guidance, and stakeholder training
  • Represent the IR team or BYU-Pathway in Church, CES or related higher education meetings and presentations

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