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Overnight Insurance Data Analytics Jobs (NOW HIRING)

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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 May 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 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.

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 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 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 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:
Cloud Data & Analytics Strategy Senior Associate (Insurance)

Cloud Data & Analytics Strategy Senior Associate (Insurance)

Pwc

Dallas, TX • On-site

$66.50 - $89/hr

Full-time

Medical, Dental, Vision, Retirement, PTO

This job post has expired today. Applications are no longer accepted.


PwC rating

8.3

Company rating: 8.3 out of 10

Based on 73 frontline employees who took The Breakroom Quiz

20th of 57 rated business consultants


Job description

Industry/Sector

Insurance

Specialism

Data, Analytics & AI

Management Level

Senior Associate

Job Description & Summary

A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge.
You'll focus on aligning client data strategies to their business strategy. You will assist clients in choosing a platform, defining their data needs and migrating them to a modern cloud data environment using cloud providers such as Azure, Google Cloud Platform, Amazon Web Services, Snowflake, Databricks or Teradata.

To really stand out and make us fit for the future in a constantly changing world, each and every one of us at PwC needs to be a purpose-led and values-driven leader at every level. To help us achieve this we have the PwC Professional; our global leadership development framework. It gives us a single set of expectations across our lines, geographies and career paths, and provides transparency on the skills we need as individuals to be successful and progress in our careers, now and in the future.

As a Senior Associate, you'll work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution. PwC Professional skills and responsibilities for this management level include but are not limited to:

  • Use feedback and reflection to develop self awareness, personal strengths and address development areas.
  • Delegate to others to provide stretch opportunities, coaching them to deliver results.
  • Demonstrate critical thinking and the ability to bring order to unstructured problems.
  • Use a broad range of tools and techniques to extract insights from current industry or sector trends.
  • Review your work and that of others for quality, accuracy and relevance.
  • Know how and when to use tools available for a given situation and can explain the reasons for this choice.
  • Seek and embrace opportunities which give exposure to different situations, environments and perspectives.
  • Use straightforward communication, in a structured way, when influencing and connecting with others.
  • Able to read situations and modify behavior to build quality relationships.
  • Uphold the firm's code of ethics and business conduct.

Job Requirements and Preferences:
Basic Qualifications:
Minimum Degree Required:
Bachelor Degree
Minimum Years of Experience:
4 year(s)
Preferred Qualifications:
Certification(s) Preferred:

Certification in one of the following cloud platforms -AWS/Azure/GCP

Preferred Knowledge/Skills:

Demonstrates thorough abilities and/or success in one or many of the following areas:

  • Demonstrating an expertise in developing and implementing data or analytics-driven strategies to drive business growth and optimize decision-making;
  • Defining data management and data/analytics governance strategy and align data initiatives with organizational goals;
  • Conducting data/analytics strategy refresh on a regular basis and managing overall data strategy program success;
  • Delivering strategy and transformation projects;
  • Understanding and experience with modern cloud data architectures and engineering for one or more of the following cloud providers - AWS, Azure, GCP;
  • Implementing cloud data architecture and data integration patterns for one or more of the cloud providers (AWS Glue, Azure Data Factory, Event Hub, Databricks, etc.), storage and processing (Redshift, Azure Synapse, BigQuery, Snowflake); Infrastructure as code (CloudFormation, Terraform);
  • Understanding and thorough knowledge of Data Warehousing concepts (normalization, OLAP, OLTP, Vault data model, graphs, star & snowflake schemas);
  • Applying knowledge and work experience in Big data engineering (Hadoop, Spark, Scala, Kafka) and ETL/ELT pipeline development (tools: IICS/AWS Glue/SAP BODS/Matillion/DBT/Abinitio/SSIS/SnapLogic); preferable in P&C/L&A Insurance data warehouse;
  • Developing file and object-based storage solutions using Azure ADLS 2.0 or AWS S3;
  • Applying knowledge in SQL, report generation using visualization tools such as Tableau/Power BI/Cognos, programming using Python/Spark;
  • Designing and developing advanced analytics solutions, AI/ML models, and operationalizing based on ML Ops process;
  • Understanding of enterprise data concepts such as Master Data Management Data Governance and Enterprise Data Warehouse;
  • Applying leading practices in supporting high availability, scalable, process and storage intensive solutions architectures to data integration/migration, analytics and insights, AI and ML requirements;
  • Understanding and familiarity of one or more is a big plus - CI/CD, cloud devops, containers (Kubernetes/Docker, etc.);
  • Understanding of insurance data, underlying KPIs and how they are used; and,
  • Demonstrating prior P&C/L&A Insurance industry experience.

Demonstrates thorough abilities with, and/or a proven record of success directing efforts in the following areas:

  • Demonstrating prior Big 4 or proven consulting experience in strategy through execution projects;
  • Working closely with business stakeholders to capture and document business objectives/requirements, ability to translate business and technology objectives to next generation cloud, digital and technology solution architectures;
  • Understanding how the application of analytical techniques correlated to business value and being able to select the appropriate analytical techniques for the problem at hand;
  • Willing to learn and apply modern, cloud-based technology skills, ability to research emerging trends, analyst publications, and adoption of modern technologies in solution architectures;
  • Understanding personal and team roles, contributing to a positive working environment by building proven relationships with team members, proactively seeking guidance, clarification and feedback;
  • Prioritizing and handling multiple tasks, researching and analyzing pertinent client, industry and technical matters, utilizing problem-solving skills, and communicating cogently in written and verbal formats to various audiences (including various levels of management and external clients) in a professional business environment; and,
  • Demonstrating leadership experience, including providing coaching, feedback and guidance on work performance.

Travel Requirements

Up to 80%

Job Posting End Date

The salary range for this position is: $77,000 - $202,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glanceAs PwC is anequal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.Learn more about how we work: https://pwc.to/how-we-workFor only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines

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