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Overnight Insurance Data Analytics Jobs in Baltimore, MD

McKinsey & Company

Analyst - Finalta Insurance

Lisbon, MD · On-site

$22 - $30/hr

YOUR IMPACT You will work within a small project team to analyze insurance data, evaluate results ... or data analytics * Exceptional analytical skills and problem-solving capabilities * Excellent ...

Chandler Macleod

Analyst - Finalta Insurance

Lisbon, MD · On-site

$22 - $30/hr

YOUR IMPACT You will work within a small project team to analyze insurance data, evaluate results ... or data analytics * Exceptional analytical skills and problem-solving capabilities * Excellent ...

Interclypse Inc.

Data Analyst

Annapolis, MD · On-site

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 ...

Interclypse Inc.

Data Analyst

Annapolis Junction, MD · On-site

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 ...

Alpha Omega Integration

Data Scientist

Columbia, MD · Hybrid

$117K - $137K/yr

The Threat Hunt Analyst will apply the proper techniques and procedures for the identification ... Life Insurance, STD/LTD term disability coverage, with employer paid premiums * 401 (k) plan with a ...

Alpha Omega Integration

Data Scientist

Columbia, MD · On-site

$117K - $137K/yr

The Threat Hunt Analyst will apply the proper techniques and procedures for the identification ... Life Insurance, STD/LTD term disability coverage, with employer paid premiums * 401 (k) plan with a ...

Cymertek

Data Analyst

Annapolis Junction, MD · On-site

... Analytics, Operations Research, Finance, Engineering, etc. ALTERNATE EXPERIENCE General comment on ... No cost to you. * Life Insurance - 100% employee coverage. No cost to you. * Additional ...

CLEAResult

EV Charging Station Data Analyst

Columbia, MD · On-site

$61K - $78K/yr

Medical, Dental, and Vision Insurance; we also offer a company-paid health care concierge service ... Advanced data analytics and visualization (Python, R, Matlab) or GIS program use and results ...

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All JobsInsurance Data Analytics JobsOvernight Insurance Data Analytics JobsOvernight Insurance Data Analytics Jobs in Baltimore, MD

Overnight Insurance Data Analytics information

See Baltimore, MD salary details

$152K

$177.6K

$200.7K

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 Baltimore, MD is $177,612.00, according to ZipRecruiter salary data. Most workers in this role earn between $164,400.00 and $190,300.00 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 are the most commonly searched types of Insurance Data Analytics jobs in Baltimore, MD? The most popular types of Insurance Data Analytics jobs in Baltimore, MD are:
What cities near Baltimore, MD are hiring for Overnight Insurance Data Analytics jobs? Cities near Baltimore, MD with the most Overnight Insurance Data Analytics job openings:
Overnight Insurance Data Analytics jobs near you

Analyst - Finalta Insurance

McKinsey & Company

Lisbon, MD • On-site

$22 - $30/hr

Full-time

Posted 15 days ago

McKinsey & Company rating

8.5

Company rating: 8.5 out of 10

Based on 22 frontline employees who took The Breakroom Quiz

20th of 72 rated business consultants

Job description

Do you want to do work that matters, alongside supportive leaders who will help you grow faster than you ever thought possible? Are you a creative problem-solver who is energized by challenges? You've come to the right place.
YOUR IMPACT
You will work within a small project team to analyze insurance data, evaluate results, generate actionable insights and recommendations and deliver these to your clients.
You will be liaising with our clients to gather data, conduct research and perform quantitative analysis. You'll be working with our team that covers our insurance clients and will have the opportunity to travel to client sites. Our projects typically run for 6 months; therefore, you will become an expert in data and topics.
You'll work with our Finalta team in Lisbon. Building on more than twenty years' experience working with leading banks and insurers, Finalta combines benchmark performance data and best-practice knowledge from 350 financial institutions in over 50 countries to generate insights on how to achieve superior performance.
Annual benchmarking provides clients with a unique management tool to objectively assess performance against peers and quantify opportunities for improvement. Our best-practice cases illustrate how to close performance gaps and give clients a roadmap to reach world-class performance while reducing the time, cost, and risk of change.
YOUR GROWTH
Driving lasting impact and building long-term capabilities with our clients is not easy work. You are the kind of person who thrives in a high performance/high reward culture - doing hard things, picking yourself up when you stumble, and having the resilience to try another way forward.
In return for your drive, determination, and curiosity, we'll provide the resources, mentorship, and opportunities you need to become a stronger leader faster than you ever thought possible. Your colleagues-at all levels-will invest deeply in your development, just as much as they invest in delivering exceptional results for clients. Every day, you'll receive apprenticeship, coaching, and exposure that will accelerate your growth in ways you won't find anywhere else.
When you join us, you will have:
  • Continuous learning: Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey.
  • A voice that matters: From day one, we value your ideas and contributions. You'll make a tangible impact by offering innovative ideas and practical solutions, all while upholding our unwavering commitment to ethics and integrity. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes.
  • Global community: With colleagues across 65+ countries and over 100 different nationalities, our firm's diversity fuels creativity and helps us come up with the best solutions for our clients. Plus, you'll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences.
  • World-class benefits: On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package to enable holistic well-being for you and your family.

YOUR QUALIFICATIONS AND SKILLS
  • +1 year of relevant internships or experience in strategy, financial services, consultancy or data analytics
  • Exceptional analytical skills and problem-solving capabilities
  • Excellent writing skills
  • Ability to manage time to produce high quality work to deadlines
  • Great interpersonal communications and client-management skills
  • Fluent level language skills in English are mandatory
  • Fluent level language skills in either Spanish or German is mandatory

Please review the additional requirements regarding essential job functions of McKinsey colleagues.
Our unwavering commitment to integrity drives everything we do, guiding us to always act in the best interests of our clients, our people, and the communities we serve.

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