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Senior Insurance Data Analytics Jobs in Virginia

Senior Data Analytics Engineer Category: Business Analysis (functional and technical) Main location ... Comprehensive insurance options . Matching contributions through the 401(k) plan and the share ...

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Senior Consultant - Data & Analytics

Mclean, VA · On-site

$86K - $109K/yr

Your Impact As a Senior Consultant, Data & Analytics, you will: * Design and build modern data warehouses and analytics-ready data models * Develop scalable, reliable data pipelines using cloud-based ...

$48K - $115K/yr

The Data & Analytics Senior Analyst works at the direction of a Team Leader to fulfill the data and analytical needs of their designated business partners. Delivers solutions including reporting ...

Senior Engineer - Data Analytics

VA · On-site +1

$106K - $144K/yr

General information Job Posting Title Senior Engineer - Data Analytics Date Wednesday, June 24 ... Additionally, Maximus provides a variety of benefits to employees, including health insurance ...

Your Impact As a Senior Consultant, Data & Analytics, you will: * Design and build modern data warehouses and analytics-ready data models * Develop scalable, reliable data pipelines using cloud-based ...

Senior Data Analyst

Quantico, VA · On-site

$91K - $114K/yr

This role focuses on advanced data analytics, statistical modeling, and integration of data-driven ... We offer medical, dental and vision insurance, 401k, PTO and 11 paid holidays. Apply Now Refer to a ...

The Team - Data & Analytics Our Data & Analytics practice is comprised of functional and technical ... You'll be in meetings with CIOs, CISOs, and senior partners. You need the confidence to contribute ...

The Team - Data & Analytics Our Data & Analytics practice is comprised of functional and technical ... You'll be in meetings with CIOs, CISOs, and senior partners. You need the confidence to contribute ...

Data Analytics Engineer

Glen Allen, VA · On-site

$180K - $200K/yr

... hiring a Data Analytics Engineer to help build the data foundation that powers trustworthy ... This is a senior individual contributor role. You'll lead through technical ownership, influence ...

Data Analytics Engineer

Glen Allen, VA

$106K - $127K/yr

... hiring a Data Analytics Engineer to help build the data foundation that powers trustworthy ... This is a senior individual contributor role. You'll lead through technical ownership, influence ...

Senior Data Analyst

Quantico, VA · On-site

$91K - $114K/yr

This role focuses on advanced data analytics, statistical modeling, and integration of data-driven ... We offer medical, dental and vision insurance, 401k, PTO and 11 paid holidays.

Use technology tools to conduct analysis; apply techniques such as SQL querying and macro development to extract data for populating models * Gain a good understanding of the relevant processes and ...

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Senior Insurance Data Analytics information

What are the key skills and qualifications needed to thrive as a Senior Insurance Data Analytics professional, and why are they important?

To thrive as a Senior Insurance Data Analytics professional, you need a strong background in statistics, data analysis, and domain knowledge of insurance, often supported by a degree in mathematics, statistics, or a related field. Expertise in data analytics tools such as SQL, Python, R, and experience with business intelligence platforms like Tableau or Power BI are typically required. Strong problem-solving skills, attention to detail, and the ability to communicate complex insights clearly set top performers apart in this role. These skills are crucial for driving data-driven decision-making, identifying business opportunities, and improving risk assessment and operational efficiency within insurance organizations.

What does a Senior Insurance Data Analytics professional do?

A Senior Insurance Data Analytics professional analyzes large datasets to help insurance companies make informed decisions about risk, pricing, claims, and customer behavior. They use statistical methods, data modeling, and business intelligence tools to uncover trends and insights that can improve operational efficiency and profitability. In addition to interpreting complex data, they often collaborate with other departments to develop data-driven strategies and may oversee or mentor junior analysts within the team.

What is the difference between Senior Insurance Data Analytics vs Insurance Data Analyst?

AspectSenior Insurance Data AnalyticsInsurance Data Analyst
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related field; often with experience in insurance analyticsBachelor's in related field; entry to mid-level experience
Work EnvironmentSenior roles often involve leadership, project management, and strategic planning within insurance companiesFocus on data collection, analysis, and reporting under supervision or team guidance
Employer & Industry UsageUsed across insurance firms, especially in analytics, underwriting, and actuarial departmentsCommonly employed in insurance companies, focusing on data processing and reporting

Senior Insurance Data Analytics professionals typically have more experience, advanced skills, and leadership responsibilities compared to Insurance Data Analysts. While both roles require strong analytical skills and familiarity with insurance data, seniors often oversee projects, develop strategies, and mentor junior staff, whereas analysts focus on data analysis and reporting tasks.

What are some common challenges faced by Senior Insurance Data Analytics professionals when working with large and complex datasets?

Senior Insurance Data Analytics professionals often encounter challenges such as integrating data from multiple legacy systems, ensuring data quality and accuracy, and managing sensitive information in compliance with regulations. Additionally, translating complex analytical findings into actionable insights for non-technical stakeholders can be demanding. Overcoming these challenges requires strong technical skills, clear communication, and close collaboration with IT, underwriting, and actuarial teams.
What are the most commonly searched types of Insurance Data Analytics jobs in Virginia? The most popular types of Insurance Data Analytics jobs in Virginia are:
What cities in Virginia are hiring for Senior Insurance Data Analytics jobs? Cities in Virginia with the most Senior Insurance Data Analytics job openings:
Senior Data Analytics Engineer

Senior Data Analytics Engineer

CGI Inc.

Reston, VA • On-site

Full-time

Retirement, PTO

Posted 3 days ago

New


CGI rating

7.1

Company rating: 7.1 out of 10

Based on 19 frontline employees who took The Breakroom Quiz

134th of 210 rated it services


Job description

Senior Data Analytics Engineer
Category: Business Analysis (functional and technical)
Main location: United States, Virginia, Reston
Position ID:J0726-0947
Employment Type: Full Time
U.S. - Finding purpose at CGI
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Position Description:
CGI is seeking a Senior Data Analytics Engineer to support the delivery of enterprise data analytics and GenAI enabled reporting solutions within a highly regulated financial services environment. This role combines business focused user acceptance testing with data validation, analytics, API testing, and production readiness activities to ensure high quality data products before deployment.
We partner with 15 of the top 20 banks globally, and our top 10 banking clients have worked with us for an average of 26 years!.
This role is located at a client site in either Reston, VA. A hybrid working model is acceptable.
Your future duties and responsibilities:
CGI is seeking a Senior Data Analytics Engineer to support the delivery of enterprise data analytics and GenAI enabled reporting solutions within a highly regulated financial services environment. This role combines business focused user acceptance testing with data validation, analytics, API testing, and production readiness activities to ensure high-quality data products before deployment.
The ideal candidate will collaborate closely with developers, product owners, business stakeholders, QA teams, and analytics professionals to validate business requirements, data pipelines, reports, APIs, and GenAI generated outputs. Responsibilities include executing end to end UAT, performing SQL and API validation, verifying JSON data structures, supporting AWS based analytics platforms, and ensuring data accuracy across reporting solutions. The role also includes user onboarding, documentation, knowledge transfer, and ongoing production support to help drive successful adoption of data driven solutions.
Required qualifications to be successful in this role:
. 5+ years of experience in data analytics, software development, data engineering, production support, monitoring, visualization, and business enablement.
. Strong experience performing Business User Acceptance Testing (UAT), including test planning, execution, defect management, regression testing, and production readiness.
. Advanced SQL skills with the ability to validate complex datasets, perform source to target reconciliation, and troubleshoot data quality issues.
. Hands on experience working with AWS based data and analytics environments.
. Experience validating REST APIs, nested JSON payloads, and API integrations using tools such as Postman and Swagger/OpenAPI.
. Proficiency with Python, including pandas, NumPy, and JSON processing for data validation and analytics workflows.
. Experience supporting GenAI enabled reporting solutions, including prompt assisted data extraction, validation of AI generated summaries, narratives, tables, and visualizations.
. Ability to analyze data trends, identify anomalies, and verify business rule compliance before production releases.
. Familiarity with Agile delivery practices and collaboration tools such as Jira.
. Strong communication skills with the ability to work directly with business users, developers, QA teams, and product owners.
. Experience developing user documentation, onboarding materials, SOPs, and conducting knowledge transfer sessions.
. Understanding of data governance, model validation, and enterprise delivery standards within regulated industries, preferably financial services.
. Proven ability to provide production support and resolve issues during application rollout and post deployment stabilization.
Education:
Bachelor's degree in Computer Science, Data Science, Statistics, Engineering, or another related quantitative discipline.
Other Information:
CGI is required by law in some jurisdictions to include a reasonable estimate of the compensation range for this role. The determination of this range includes various factors not limited to skill set, level, experience, relevant training, and licensure and certifications. To support the ability to reward for merit based performance, CGI typically does not hire individuals at or near the top of the range for their role. Compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range for this role in the U.S. is $89,600.00 $139,300.00.
CGI's benefits are offered to eligible professionals on their first day of employment to include: . Competitive compensation . Comprehensive insurance options . Matching contributions through the 401(k) plan and the share purchase plan . Paid time off for vacation, holidays, and sick time . Paid parental leave .Learning opportunities and tuition assistance . Wellness and Well being programs
Skills:
  • Agile
  • Amazon Web Services Cloud
  • Artificial Intelligence
  • Data Analysis
  • Python
  • SQL
  • Data Engineering
  • Data Engineering

What you can expect from us:
Together, as owners, let's turn meaningful insights into action.
Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, you'll reach your full potential because...
You are invited to be an owner from day 1 as we work together to bring our Dream to life. That's why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our company's strategy and direction.
Your work creates value. You'll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise.
You'll shape your career by joining a company built to grow and last. You'll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons.
Come join our team-one of the largest IT and business consulting services firms in the world.
Qualified applicants will receive consideration for employment without regard to their race, ethnicity, ancestry, color, sex, religion, creed, age, national origin, citizenship status, disability, pregnancy, medical condition, military and veteran status, marital status, sexual orientation or perceived sexual orientation, gender, gender identity, and gender expression, familial status or responsibilities, reproductive health decisions, political affiliation, genetic information, height, weight, or any other legally protected status or characteristics to the extent required by applicable federal, state, and/or local laws where we do business.
CGI provides reasonable accommodations to qualified individuals with disabilities. If you need an accommodation to apply for a job in the U.S., please email the CGI U.S. Employment Compliance mailbox at US_Employment_Compliance@cgi.com. You will need to reference the Position ID of the position in which you are interested. Your message will be routed to the appropriate recruiter who will assist you. Please note, this email address is only to be used for those individuals who need an accommodation to apply for a job. Emails for any other reason or those that do not include a Position ID will not be returned.
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All CGI offers of employment in the U.S. are contingent upon the ability to successfully complete a background investigation. Background investigation components can vary dependent upon specific assignment and/or level of US government security clearance held. Dependent upon role and/or federal government security clearance requirements, and in accordance with applicable laws, some background investigations may include a credit check. CGI will consider for employment qualified applicants with arrests and conviction records in accordance with all local regulations and ordinances.
CGI will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with CGI's legal duty to furnish information.

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