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

... at legal@filevine.com. Cool Company Benefits: * A dynamic, rapidly growing company, focused on ... Medical, Dental, & Vision Insurance (for full‑time employees) * Competitive & Fair Pay

... at legal@filevine.com Cool Company Benefits: * A dynamic, rapidly growing company, focused on ... Medical, Dental, & Vision Insurance (for full-time employees) * Competitive & Fair Pay * Maternity ...

Experience supporting multi-brand or multi-channel ecommerce analytics at scale (DTC + wholesale preferred) * Strong fluency in financial data: P&L construction, FP&A inputs, cost accounting ...

Financial Data Analytics Manager

Midvale, UT · On-site

$99K - $130K/yr

This position is fully in office (5 days a week) at the Zions Technology Center - 7860 South ... Medical, Dental and Vision Insurance - START DAY ONE! * Life and Disability Insurance, Paid ...

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development ... At Workiva, you'll bring technology to market that executives, boards, and regulators depend on.

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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 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 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 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:

Manager, Data Analytics

Salt Lake City, UT • On-site

Socket.dev
Network Security • 1 - 10 employees

$150 - $200/hr

Other

Medical, Dental, Vision

Posted 7 days ago


Job description

Filevine is a Legal AI company delivering Legal Operating Intelligence for the future of legal work. Grounded in a singular system of truth, Filevine brings together data, documents, workflows, and teams into one unified platform—where modern legal work happens with clarity and consistency.

Powered by LOIS, the Legal Operating Intelligence System, Filevine connects context across every matter to transform legal operations from reactive to proactive. LOIS reads, understands, and reasons across your data to surface insight, automate complexity, and give professionals the clarity and confidence to see more, know more, and do more. Fueled by a team of exceptional collaborators and innovators, Filevine’s rapid growth has earned AI awards and recognition from Deloitte and Inc. as one of the most innovative and fastest-growing technology companies in the country.

Role Overview

The Manager of Data Analytics will play a key role in executing Filevine’s data and analytics initiatives. Reporting directly to executive leadership, this individual will manage daily analytics operations, deliver corporate metrics, and produce actionable insights to support operational excellence and strategic decision-making across the organization. This position requires a balance of strong technical proficiency, business acumen, and solid communication skills. The ideal candidate will be a hands‑on analytical practitioner who can design and deliver high‑quality analyses while engaging confidently with executive stakeholders.

Responsibilities
  • Work closely with the CEO on ad-hoc or other impromptu projects, providing rapid analytical support and insights.
  • Lead daily operations for the corporate analytics function, overseeing the development and delivery of executive-level dashboards, KPIs, and routine reporting.
  • Manage and mentor data analysts, supporting their technical growth and fostering a culture of accuracy, accountability, and continuous improvement.
  • Partner with functional leaders to identify and interpret key trends across product usage, customer health, financial performance, and organizational initiatives.
  • Conduct complex analyses that inform strategic priorities and operational decisions.
  • Build and maintain robust data pipelines and models within Domo, integrating data from Salesforce, Snowflake, HubSpot, the Filevine Platform, and other enterprise systems.
  • Ensure data integrity, consistency, and precision across all reporting outputs.
  • Implement frameworks for tracking key SaaS metrics and KPIs, including ARR, GRR, NRR, churn, customer engagement, and retention.
  • Communicate findings clearly to both technical and non-technical audiences, translating complex data into actionable business insights.
  • Partner cross-functionally with Finance, Operations, Product, and Customer Success teams to align analytics outputs with organizational goals.
Qualifications
  • Bachelor’s degree in Data Analytics, Statistics, Business, Economics, or a related field.
  • 4–6+ years of experience in data analytics or business intelligence, with experience leading or mentoring junior analysts/projects.
  • Demonstrated ability to guide projects and support team development.
  • Expertise in SQL and hands‑on experience working with large, complex data environments.
  • Strong proficiency with Domo or equivalent BI tools (e.g., Tableau, Power BI, Looker).
  • Solid understanding of Salesforce data structures and data integration practices.
  • Familiarity with SaaS business models and key financial metrics.
  • Strong communication skills with the ability to effectively present insights to senior stakeholders.
  • High attention to detail, with a commitment to accuracy, data governance, and analytical rigor.

Filevine is an Equal Opportunity Employer. Qualifications for employment, promotion and other terms and conditions of employment are based upon the ability to perform the job. Equal‑employment opportunities are provided to all applicants and employees without regard to race, creed, religion, color, age, national origin, sex, disability, veteran status, or other legally protected class. Filevine is committed to providing reasonable accommodations for qualified individuals with disabilities. If you need assistance or accommodation due to disability, or if you have concerns related to Filevine’s equal employment opportunities, you may contact us at legal@filevine.com.

Cool Company Benefits:
  • A dynamic, rapidly growing company, focused on helping organizations thrive
  • Medical, Dental, & Vision Insurance (for full‑time employees)
  • Competitive & Fair Pay
  • Maternity & paternity leave (for full‑time employees)
  • Short & long‑term disability
  • Opportunity to learn from a dedicated leadership team
  • Top‑of‑the‑line company swag
Privacy Policy Notice

Filevine will handle your personal information according to what’s outlined in our Privacy Policy.

Communication about this opportunity, or any open role at Filevine, will only come from representatives with email addresses using "filevine.com". Other addresses reaching out are not affiliated with Filevine and should not be responded to.

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