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Overnight Insurance Data Analytics Jobs (NOW HIRING)

Insurance Data Analyst Location: United States Workplace Type: Remote About the Job The future is ... analytics, or related roles. * Strong SQL skills with hands-on experience in BigQuery and/or SQL ...

Required Qualifications * 5+ years of experience working with insurance bordereaux (BDX) reporting, premium reporting, or insurance data analysis. * Strong understanding of MGA, Program, P&C, or ...

Insurance Data Analyst

Seattle, WA · On-site +1

$88K - $123K/yr

Insurance Data Analyst Location: United States Workplace Type: Remote About the Job The future is ... analytics, or related roles. * Strong SQL skills with hands-on experience in BigQuery and/or SQL ...

The Senior Insurance Data Analyst plays a strategic role in advancing Oxford-wide analytics ... Lead enterprise data analytics initiatives: develop and execute analytics strategies that support ...

Data Analyst

Santa Clara, CA · On-site

$65K - $70K/yr

Knowledge of insurance analytics, claims reporting, and risk analysis. * Basic knowledge of Python or R for data analysis. * Experience working with SQL databases and reporting tools. * Any ...

New

Data Analyst

San Mateo, CA · On-site

$65K - $70K/yr

Knowledge of insurance analytics, claims reporting, and risk analysis. * Basic knowledge of Python or R for data analysis. * Experience working with SQL databases and reporting tools. * Any ...

New

Data Analyst

Sonoma, CA · On-site

$65K - $70K/yr

Knowledge of insurance analytics, claims reporting, and risk analysis. * Basic knowledge of Python or R for data analysis. * Experience working with SQL databases and reporting tools. * Any ...

New

Data Analyst

Fremont, CA · On-site

$65K - $70K/yr

Knowledge of insurance analytics, claims reporting, and risk analysis. * Basic knowledge of Python or R for data analysis. * Experience working with SQL databases and reporting tools. * Any ...

New

Data Analyst

San Francisco, CA · On-site

$65K - $70K/yr

Knowledge of insurance analytics, claims reporting, and risk analysis. * Basic knowledge of Python or R for data analysis. * Experience working with SQL databases and reporting tools. * Any ...

New

Data Analyst

Hayward, CA · On-site

$65K - $70K/yr

Knowledge of insurance analytics, claims reporting, and risk analysis. * Basic knowledge of Python or R for data analysis. * Experience working with SQL databases and reporting tools. * Any ...

New

Data Analyst

Sunnyvale, CA · On-site

$65K - $70K/yr

Knowledge of insurance analytics, claims reporting, and risk analysis. * Basic knowledge of Python or R for data analysis. * Experience working with SQL databases and reporting tools. * Any ...

New

Data Analyst

Santa Rosa, CA · On-site

$65K - $70K/yr

Knowledge of insurance analytics, claims reporting, and risk analysis. * Basic knowledge of Python or R for data analysis. * Experience working with SQL databases and reporting tools. * Any ...

New

Data Analyst

San Jose, CA · On-site

$65K - $70K/yr

Knowledge of insurance analytics, claims reporting, and risk analysis. * Basic knowledge of Python or R for data analysis. * Experience working with SQL databases and reporting tools. * Any ...

New

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Overnight Insurance Data Analytics information

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$153K

$178.7K

$202K

How much do overnight insurance data analytics jobs pay per year?

As of Jul 28, 2026, the average yearly pay for overnight insurance data analytics in the United States is $178,749.00, according to ZipRecruiter salary data. Most workers in this role earn between $165,500.00 and $191,500.00 per year, depending on experience, location, and employer.

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

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.

Is 40 too late for data science?

For an Overnight Insurance Data Analytics role, age is not a barrier; many professionals transition into data science or analytics later in their careers. Success depends on skills, experience, and continuous learning, such as mastering tools like SQL, Python, or R, and gaining relevant certifications. Age should not deter pursuing a data analytics career at 40 or older.

Will AI replace a data analyst?

AI can automate routine data processing and basic analysis tasks, but the role of a data analyst, including an Overnight Insurance Data Analytics professional, involves interpreting complex data, providing insights, and making strategic decisions that require human judgment. AI tools are used to enhance efficiency, but they do not fully replace the need for skilled analysts who understand business context and can communicate findings effectively.

Can a data analyst work at night?

A data analyst, including those working in insurance data analytics, can work night shifts if the employer offers overnight or flexible schedules. Some roles require 24/7 coverage or support for global operations, making night work possible, especially in environments with real-time data monitoring or client support. Skills in remote collaboration tools and time management are helpful for night shift work.

What does a data analyst do in insurance?

A data analyst in insurance collects, processes, and analyzes data related to policies, claims, and customer information to identify trends, assess risks, and support decision-making. They often use tools like Excel, SQL, and data visualization software to create reports and insights that help improve underwriting, pricing, and fraud detection.
What cities are hiring for Overnight Insurance Data Analytics jobs? Cities with the most Overnight Insurance Data Analytics job openings:
What are the most commonly searched types of Insurance Data Analytics jobs? The most popular types of Insurance Data Analytics jobs are:
What states have the most Overnight Insurance Data Analytics jobs? States with the most job openings for Overnight Insurance Data Analytics jobs include:
Insurance Data Analyst

$88K - $123K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 15 days ago


Job description

Porch Group is a leading vertical software and insurance platform and is positioned to be the best partner to help homebuyers move, maintain, and fully protect their homes. We offer differentiated products and services, with homeowners insurance at the center of this relationship.We differentiate and look to win in the massive and growing homeowners insurance opportunity by 1) providing the best services for homebuyers, 2) led by advantaged underwriting in insurance, 3) to protect the whole home.

As a leader in the home services software-as-a-service ("SaaS") space, we've built deep relationships with approximately 30 thousand companies that are key to the home-buying transaction, such as home inspectors, mortgage companies, and title companies.

In 2020, Porch Group rang the Nasdaq bell and began trading under the ticker symbol PRCH. We are looking to build a truly great company and are JUST GETTING STARTED.

Job Title: Insurance Data Analyst

Location: United States

Workplace Type: Remote

About the Job

The future is bright for the Porch Group, and we'd love for you to be a part of it as our Insurance Data Analyst. In this role, you will partner directly with Product Managers and business leaders across Porch's insurance platform to transform complex insurance data into actionable insights that drive profitable growth. You will support critical decisions across pricing, underwriting, retention, and competitive intelligence-areas that sit at the very core of how Porch wins in the homeowners insurance market. Your work will span BigQuery, SQL Server, and Power BI, building the analytical infrastructure and dashboards that keep key stakeholders informed and ahead of the curve. If you thrive on solving ambiguous problems autonomously, communicating findings with clarity, and making a measurable impact on a fast-growing insurance business, this is the role for you.

What You Will Do As An Insurance Data Analyst
  • Write and maintain SQL queries across BigQuery and SQL Server to support recurring analysis and ad hoc business requests.
  • Build and maintain Power BI dashboards tracking key insurance KPIs including quotes, binds, retention, premium, and business mix.
  • Perform descriptive and diagnostic analyses to identify trends, drivers, and anomalies across the insurance portfolio.
  • Support measurement of product changes using cohorts, pre/post analysis, and trend analysis to quantify business impact.
  • Assist with competitive intelligence by gathering, organizing, and summarizing competitor data to inform pricing and product strategy.
  • Ensure data accuracy and integrity through QA checks, reconciliations, and thorough documentation of methodology and sources.
  • Work autonomously on complex, cross-functional issues with mid-term (12+ month) implications, proactively identifying problems and opportunities.
What You Will Bring As An Insurance Data Analyst
  • Bachelor's degree in Business, Finance, Economics, Statistics, Actuarial Science, or a related field.
  • 3+ years of professional experience, including 1+ years in personal lines insurance in data analysis, actuarial, product analytics, or related roles.
  • Strong SQL skills with hands-on experience in BigQuery and/or SQL Server.
  • Advanced experience building and maintaining dashboards and reports in Power BI.
  • Exceptional Microsoft Office skills, especially Excel, with strong attention to detail.
  • Demonstrated ability to work on complex issues with mid-term or broader cross-functional implications, exercising wide latitude in determining objectives and approaches.
  • Self-starter with a track record of working autonomously and proactively identifying problems before they escalate.

Preferred

  • Proficiency in Python or R for analysis or automation.
  • Familiarity using AI tools to accelerate research and analysis.

The application window for this position is anticipated to close in 2 weeks (10 business days) from 6/12/2025. Please know this may change based on business and interviewing needs.

At this time, Homeowners of America does not consider applicants from the following states or jurisdictions for Remote positions: Alabama, Alaska, Arkansas, Colorado, Connecticut, Delaware, the District of Columbia, Hawaii, Maryland, Mississippi, Montana, Nebraska, Nevada, New Hampshire, North Dakota, Utah, Vermont, Virginia, West Virginia, or Wyoming.

What You Will Get As A Porch Group Team Member

Pay Range*: $88,500 - $123,900 annually

*Please know your actual pay at Porch will reflect a number of factors among which are your work experience and skillsets, job-related knowledge, alignment with market and our Porch employees, as well as your geographic location.

Additionally, you will be eligible to receive long-term incentive awards, subject to program guidelines and approvals.

  • Our traditional healthcare benefits include three (3) Medical plan options, two (2) Dental plan options, and a Vision plan from which to choose.
  • Critical Illness, Hospital Indemnity and Accident plans are offered on a voluntary basis.
  • We offer pre-tax savings options including a partially employer funded Health Savings Account and employee Flexible Savings Accounts including healthcare, dependent care, and transportation savings options.
  • We provide company paid Basic Life and AD&D, Short and Long-Term Disability benefits. We also offer Voluntary Life and AD&D plans.
  • Both traditional and Roth 401(k) plans are available with a discretionary employer match.
  • Supportlinc is part of our employer paid wellbeing program and provides employees and their families access to on demand guided meditation and mindfulness exercises, mental health coaching, clinical care and online access to confidential resources including will preparation.
  • LifeBalance is a free resource to employees and their families for year-round discounts on things like gym memberships, travel, appliances, movies, pet insurance and more.
  • Our wellness programs include flexible paid vacation, company-paid holidays of typically nine per year, paid sick time, paid parental leave, identity theft program, travel assistance, and fitness and other discounts programs.

#LI-NH1

What's next?

Submit your application and our Porch Group Talent Acquisition team will be reviewing your application shortly! If your resume gets us intrigued, we will look to connect with you for a chat to learn more about your background, and then possibly invite you to have virtual interviews. What's important to call out is that we want to make sure not only that you're the right person for us, but also that we're the right next step for you, so come prepared with all the questions you have!

Porch is committed to building an inclusive culture of belonging that not only embraces the diversity of our people but also reflects the diversity of the communities in which we work and the customers we serve. We know that the happiest and highest performing teams include people with diverse perspectives that encourage new ways of solving problems, so we strive to attract and develop talent from all backgrounds and create workplaces where everyone feels seen, heard and empowered to bring their full, authentic selves to work.

Porch is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex including sexual orientation and gender identity, national origin, disability, protected veteran status, orany other characteristic protected by applicable laws, regulations, and ordinances.

Porch Group is an E-Verify employer. E-Verify is a web-based system that allows an employer to determine an employee's eligibility to work in the US using information reported on an employee's Form I-9. The E-Verify system confirms eligibility with both the Social Security Administration (SSA) and Department of Homeland Security (DHS). For more information, please go to theUSCIS E-Verify website.