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Overnight Insurance Data Analytics Jobs in Atlanta, GA

HD Supply

Manager, Data Analytics

Atlanta, GA · On-site

Manager, Data Analytics (Individual Contributor) Although this role currently carries a Manager ... Typically requires overnight travel 20% to 50% of the time. Education and Experience * Typically ...

HD Supply

Manager, Data Analytics

Atlanta, GA · On-site

Manager, Data Analytics (Individual Contributor) Although this role currently carries a Manager ... Typically requires overnight travel 20% to 50% of the time. Education and Experience * Typically ...

EPIC Brokers

Lead Insurance Data Scientist

Atlanta, GA · On-site

$150/hr

There are many reasons why EPIC Insurance Brokers & Consultants has become one of the fastest ... Join our Enterprise Data & Analytics team and play a central role in advancing data analysis ...

HD Supply

Manager, Data Analytics

Atlanta, GA · On-site

... data. * Provides support to multiple departments to ensure that business intelligence, analytics ... Typically requires overnight travel 20% to 50% of the time. Education and Experience * Typically ...

HD Supply

Manager, Data Analytics

Atlanta, GA · On-site

... data. * Provides support to multiple departments to ensure that business intelligence, analytics ... Typically requires overnight travel 20% to 50% of the time. Education and Experience * Typically ...

Oscar Health

Manager, Data Analytics

Atlanta, GA · Hybrid

$111K - $145K/yr

Oscar is the first health insurance company built around a full stack technology platform and a ... The Data Analytics Manager works across and outside the organization to solve complex data issues.

AIG

Data Analytics, Manager, P&C Insurance

Atlanta, GA · On-site

American International Group, Inc. (AIG) is a leading global insurance organization. The Data Analytics, Manager, Commercial Lines role will be responsible for working directly with leaders within ...

HD Supply

Senior Manager, Data Analytics

Atlanta, GA · On-site

... data infrastructure. * Develops analytical frameworks, roadmaps, and metrics for the team and ... Typically requires overnight travel 20% to 50% of the time. Education and Experience * Typically ...

Oscar Health

Manager, Data Analytics

Atlanta, GA · On-site

$111K - $145K/yr

Oscar is the first health insurance company built around a full stack technology platform and a ... The Data Analytics Manager works across and outside the organization to solve complex data issues.

HD Supply

Senior Manager, Data Analytics

Atlanta, GA · On-site

... data infrastructure. * Develops analytical frameworks, roadmaps, and metrics for the team and ... Typically requires overnight travel 20% to 50% of the time. * Education and Experience * Typically ...

Oscar Health

Manager, Data Analytics

Atlanta, GA · Hybrid

$111K - $145K/yr

Oscar is the first health insurance company built around a full stack technology platform and a ... The Data Analytics Manager works across and outside the organization to solve complex data issues.

The E Group

Be Seen First

Data Analytics Engineer

Atlanta, GA · On-site

$50 - $55/hr

The successful candidate partners with business stakeholders, data analysts, application developers ... insurances, and 401K with an immediately vested match is available. We have a dedicated team to ...

New

Home Depot

Sr. Manager, Data Analytics

Atlanta, GA · On-site

Typically requires overnight travel less than 5% of the time. Physical Requirements: * Most of the ... Proficient with data mining software (e.g., IBM Cognos Business Intelligence, Hadoop)

Jobtailor

Director - Warranty Data Governance

Atlanta, GA · On-site

$120 - $160/hr

... data analysts with cross-functional team oversight. * Oversee the Warranty data operations and business intelligence strategy for a high transactional business unit within the General Insurance ...

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All JobsInsurance Data Analytics JobsOvernight Insurance Data Analytics JobsOvernight Insurance Data Analytics Jobs in Atlanta, GA

Overnight Insurance Data Analytics information

See Atlanta, GA salary details

$147.1K

$171.9K

$194.3K

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 Atlanta, GA is $171,896.00, according to ZipRecruiter salary data. Most workers in this role earn between $159,200.00 and $184,200.00 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 Atlanta, GA? The most popular types of Insurance Data Analytics jobs in Atlanta, GA are:
Overnight Insurance Data Analytics jobs near you

Manager, Data Analytics

HD Supply

Atlanta, GA • On-site

Full-time

Posted 19 days ago

HD Supply rating

7.8

Company rating: 7.8 out of 10

Based on 153 frontline employees who took The Breakroom Quiz

142nd of 415 rated retail wholesalers

Job description

Position Profile: Manager, Data Analytics (Individual Contributor)
Although this role currently carries a Manager, Data Analytics title, it should be viewed and recruited as a Principal/Staff-level Individual Contributor role. This is not a people management position and does not have direct reports. The individual will be expected to operate as a senior technical leader, owning critical analytics capabilities, data products, measurement frameworks, and cross-functional business partnerships.
Executive Summary
We are seeking a highly technical analytics leader with deep expertise in data modeling, analytics engineering, digital analytics, experimentation, and business measurement.
The ideal candidate can independently design and build scalable analytical solutions, own production-grade datasets, develop measurement frameworks, conduct rigorous statistical analysis, and communicate complex findings to executive leadership in clear business language.
This role sits at the intersection of:
  • Analytics Engineering
  • Marketing Science
  • Digital Analytics
  • Data Products
  • Decision Science
  • Executive Storytelling

The successful candidate will be equally comfortable discussing SQL architecture, experiment design, attribution methodology, business strategy, and executive recommendations.
Core Requirements
Technical Depth (Most Important)
Advanced SQL & Data Modeling
Must demonstrate experience with:
  • Complex analytical data models
  • Large-scale data transformation
  • Multi-source data integration
  • Window functions
  • Complex CTE development
  • Session-level and customer-level analysis
  • Production-ready data model design

Analytics Engineering
Must have experience:
  • Snowflake or modern cloud data platforms
  • Data pipeline ownership
  • Data quality validation
  • Metric governance
  • Scalable analytics solutions
  • Production dataset development

Digital & Ecommerce Analytics
Experience with:
  • Clickstream analytics
  • Customer journey analysis
  • Search analytics
  • Conversion funnels
  • Attribution models
  • Ecommerce performance measurement

Python
Strong preference for:
  • Pandas
  • Automation
  • Analytical workflows
  • Reporting automation
  • Data science tooling

Business & Leadership Expectations
The individual must be able to:
  • Translate technical findings into business decisions
  • Work directly with senior leaders
  • Influence product, marketing, and technology teams
  • Build trust in metrics and measurement
  • Resolve conflicting business interpretations

Act as the subject matter expert for analytics methodologies
Job Summary
Responsible for managing team efforts to develop easily repeatable reports and dashboards that allow internal clients to make data-driven decisions. Implements strategies that result in measurable financial returns. Works with various business stakeholders to develop insights and understand customer data.
Major Tasks, Responsibilities, and Key Accountabilities
  • Tests, analyzes, and solves data issues to ensure data integrity. Provides technical support for end users of the self-service business intelligence tool.
  • Develops complex reporting dashboards and scorecards. Reports and analyzes data for all areas of the business to drive results and guide business intelligence decisions.
  • Collaborates with Sales, Marketing, Customer Care, and Strategy to target insights and understand customer behavioral data.
  • Provides support to multiple departments to ensure that business intelligence, analytics, and reporting needs are met and delivered through technology, architecture, processes, and tools.
  • Manages project communications between all departments. Communicates directly with team members to monitor scheduled deliverables, relay revision requests, record progress, and address obstacles as needed.
  • Designs and manages multivariate and/or A/B testing for marketing and web evolution.

Nature and Scope
  • Solutions require analysis and investigation.
  • Achieves planned results by decisions and actions based on professional methods, business principles, and practical experience.
  • Manages a group or team of professional individual contributors and/or indirectly supervises support staff.

Work Environment
  • Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.
  • Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles.
  • Typically requires overnight travel 20% to 50% of the time.

Education and Experience
  • Typically requires BS/BA in a related discipline. Generally 7+ years of experience in a related field. May require certification. Advanced degree may offset less experience in some disciplines.

Our Goals for Diversity, Equity, and Inclusion
We are committed to creating a culture that promotes equity, respect, and advocacy for every HD Supply associate. We value the diversity of our people.
Equal Employment Opportunity
HD Supply is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.

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