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Overnight Insurance Data Analytics Jobs in Silver Spring, MD

... Insurance - Immigration Support for OPT students and visa holders - Skills Enhancement Data Analytics Training Program is provided for selected candidates ** OPT students may also apply If you are ...

The Data Analyst provides actionable insights, automation recommendations, and project status ... analytics-related certifications Benefits * Medical, dental, vision, disability, and life insurance

Data Analyst

Washington, DC · On-site

$115K - $125K/yr

The Data Analyst provides actionable insights, automation recommendations, and project status ... analytics-related certifications Benefits * Medical, dental, vision, disability, and life insurance

Data Analyst

Arlington, VA · On-site

$80K - $110K/yr

Support data and analytics requests by gathering business requirements, sourcing, analyzing, and ... In addition to offering a competitive salary we also offer: * health insurance * dental insurance ...

You will perform data extraction, exploratory data analytics, and present your findings in ... insurance, paid and unpaid time off, and retirement and savings plans to qualifying employees.

Data Analyst

Alexandria, VA · On-site

$62K - $85K/yr

... data analytics, robotics, and machine learning. • Ability to take and apply training in data ... Legal Insurance and Pet Insurance * Employee Assistance Program, fitness and wellness benefits, and ...

Three (3) years of experience in data analytics * Experience as a data analyst or similar role with ... Life Insurance * Accidental Death and Dismemberment Insurance * Disability: Short-term and ...

Showing results 41-60

Overnight Insurance Data Analytics information

See Silver Spring, MD salary details

$158.2K

$184.8K

$208.8K

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

As of Aug 9, 2026, the average yearly pay for overnight insurance data analytics in Silver Spring, MD is $184,787.00, according to ZipRecruiter salary data. Most workers in this role earn between $171,100.00 and $198,000.00 per year, depending on experience, location, and employer.

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 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?

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 cities near Silver Spring, MD are hiring for Overnight Insurance Data Analytics jobs? Cities near Silver Spring, MD with the most Overnight Insurance Data Analytics job openings:
Infographic showing various Overnight Insurance Data Analytics job openings in Silver Spring, MD as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $184,787 per year, or $88.8 per hour.

Data Analytics Manager, Global Corporate Procurement

Amazon

Arlington, VA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 25 days ago


Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 7,069 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers


Job description

As we rapidly become the world's largest consumer of corporate services in many categories, the Global Corporate Procurement team is seeking an Analytics Manager to join our Procurement team.
Are you looking to create and communicate a bold direction that inspires results? Do you think differently and have an interest to drive process improvement look around corners for ways to serve customers? This role will exhibit passion for identifying and implementing strategies to improve operational efficiency across an organization by analyzing processes, eliminating waste, and fostering a culture of continuous improvement
At Amazon, you will have the unparalleled opportunity to drive complex, high-impact programs that touch every aspect of our diverse, fast-paced global operations. As an process improvement manager, you will lead cross-functional teams to deliver large-scale business transformations from initiation to successful, high-quality, on-time launch. Leveraging your background and proven ability to quickly grasp intricate challenges, you will devise innovative solutions that optimize people, processes, policies, and technology. You will apply your superior communication skills to persuasively champion your ideas and align stakeholders at all levels in our supportive, growth-minded culture. Apply now and join the Amazon team driving the future of global technology and innovation.
Every day is Day One at Amazon, where our goal is to leverage suppliers to make better, do better, and be better for our customers, our employees, our partners, and the world at large.
Key job responsibilities
- Utilizing data to identify trends, root causes of problems, and measure the impact of improvement initiatives. Build and maintain automated reporting, KPI dashboards, and analytical tools that enable business stakeholders to make data-driven decisions without dependency on ad-hoc requests.
- Develop documentation and communications for program/process rollout and ongoing support.
- Identifying and mitigating potential risks and obstacles by collaborating closely with business partners, key stakeholders, and team members. Ensuring Plan B's are always in place.
- Actively seeking out opportunities to optimize processes, reduce inefficiencies, and improve overall performance across the organization
- Develop, implement, and govern KPI reporting for a portfolio of programs, providing visibility to the milestones, and performance across all projects
- Act as the analytical bridge between technical and non-technical stakeholders - scoping ambiguous business questions, defining metrics, and delivering insights that directly influence operational and strategic decisions.
BASIC QUALIFICATIONS
- 5+ years of data analysis work and leveraging analytics to make decisions experience
- Knowledge of data analytics with tools such as Tableau, SQL, Quick-sight
PREFERRED QUALIFICATIONS
- Experience using complex modeling and analysis to inform key business decisions
- Experience with data querying or modeling with SQL
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, VA, Arlington - 136,900.00 - 185,200.00 USD annually

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About Amazon

Sourced by ZipRecruiter

Amazon.com, Inc., commonly known as Amazon, is an American multinational technology company. It was founded by Jeff Bezos in 1994 and initially started as an online marketplace for books. Since then, Amazon has expanded its operations and become one of the largest e-commerce companies in the world. Amazon's primary business is its online retail platform, where customers can purchase a vast array of products, including electronics, clothing, books, home goods, and much more. The company offers a convenient and user-friendly shopping experience, with features such as fast shipping, customer reviews, and personalized recommendations. In addition to its e-commerce platform, Amazon has diversified its business into various other areas. One of its notable ventures is Amazon Web Services (AWS), a comprehensive cloud computing platform that provides services such as storage, compute power, and database management to individuals and businesses. AWS has become a leader in the cloud computing industry, powering many websites and applications worldwide. Amazon has also developed its own consumer electronics, including the popular Amazon Kindle e-reader, Fire tablets, Fire TV streaming devices, and the Alexa-powered Echo smart speakers. The Alexa voice assistant, integrated into these devices, allows users to interact with their devices using voice commands, perform tasks, and access information. Furthermore, Amazon has expanded into media and entertainment. It operates Prime Video, a streaming service that offers a wide range of movies, TV shows, and original content. Amazon Music provides a platform for streaming and purchasing digital music, while Audible offers audiobooks and other audio content. The company's commitment to customer satisfaction and convenience is demonstrated by its membership program, Amazon Prime. Prime members receive various benefits, including free two-day shipping, access to streaming services, exclusive deals, and more.

Industry

It services, book publishers, retail, real estate and computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Seattle, WA, US