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Overnight Insurance Data Analytics Jobs in Utah (NOW HIRING)

Role Overview The Manager of Data Analytics will play a key role in executing Filevine's data and ... Medical, Dental, & Vision Insurance (for full-time employees) * Competitive & Fair Pay * Maternity ...

Role Overview The Manager of Data Analytics will play a key role in executing Filevine's data and ... Medical, Dental, & Vision Insurance (for full‑time employees) * Competitive & Fair Pay

Financial Data Analytics Manager

Midvale, UT · On-site

$99K - $130K/yr

This Financial Data Analytics Manager will own the strategy, delivery, modernization, and reliable ... Medical, Dental and Vision Insurance - START DAY ONE! * Life and Disability Insurance, Paid ...

Reporting directly to executive leadership, this individual will manage daily analytics operations ... Dental, & Vision Insurance (for full-time employees) - Competitive & Fair Pay - Maternity ...

Reporting directly to executive leadership, this individual will manage daily analytics operations ... Dental, & Vision Insurance (for full-time employees) - Competitive & Fair Pay - Maternity ...

Reporting directly to executive leadership, this individual will manage daily analytics operations ... Dental, & Vision Insurance (for full-time employees) - Competitive & Fair Pay - Maternity ...

Data Engineer/Analyst

Layton, UT · On-site

$100 - $125/hr

Implement data lineage, logging, and auditability preferably with exposure to Azure Log Analytics ... We also offer 401K, short/long-term disability insurance, a fun and engaging culture, and training ...

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Overnight Insurance Data Analytics information

What is overnight insurance data analytics?

Overnight Insurance Data Analytics refers to the process of analyzing insurance data during overnight shifts or using automated systems to process large volumes of data outside of regular business hours. This ensures that insurance companies can quickly identify trends, detect fraud, and make informed decisions by the start of the next business day. Professionals in this role typically work with claims data, customer information, and risk assessments using advanced analytical tools and software. The goal is to improve operational efficiency and support decision-making processes.

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

To excel in Overnight Insurance Data Analytics, you need strong analytical abilities, proficiency in statistical methods, and a background in mathematics, statistics, or a related field. Familiarity with data analysis tools such as SQL, Python, R, and insurance-specific software is often required, along with experience in using data visualization platforms like Tableau or Power BI. Attention to detail, problem-solving skills, and the ability to communicate findings clearly are essential soft skills for this role. These competencies are vital for accurately interpreting large datasets during non-standard hours, supporting timely business decisions, and identifying trends or anomalies that impact insurance operations.

What unique challenges might I encounter working in an overnight insurance data analytics role?

Working overnight in insurance data analytics can present unique challenges, including adjusting to non-traditional work hours and maintaining effective communication with daytime teams. You may often handle urgent data requests or last-minute reporting, which requires strong problem-solving skills and the ability to work independently. Additionally, you’ll likely need to coordinate with colleagues across different time zones and shifts to ensure seamless handoffs and continuity in analytics projects. Adapting to the overnight schedule while maintaining high attention to detail and data integrity is essential for success in this role.

What is the difference between Overnight Insurance Data Analytics vs Underwriting Analyst?

AspectOvernight Insurance Data AnalyticsUnderwriting Analyst
CredentialsBachelor's in Data Science, Statistics, or related field; certifications like CAP, CPCU beneficialBachelor's in Business, Finance, or related field; certifications like CPCU or ARM advantageous
Work EnvironmentData centers, analytics teams, remote or office settingsInsurance companies, underwriting departments, office settings
Industry UsageFocuses on analyzing insurance data overnight to support decision-makingEvaluates risks and determines policy terms for insurance applications

While both roles involve insurance data, Overnight Insurance Data Analytics primarily focuses on analyzing data during overnight shifts to inform business decisions, whereas Underwriting Analysts assess risks and set policy terms. The roles share similar credentials but differ in daily tasks and work environment.

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

Filevine
Software Development • 11 - 50 employees

$125 - $150/hr

Other

Medical, Dental, Vision

Posted 18 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

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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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