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Associate In Insurance Data Analytics Jobs in Ashburn, VA

Senior Manager, Data Analytics At Capital One, data is at the center of everything we do. When we ... Understanding technical issues in analytical tools and assessing tools risks and opportunities

In a world of possibilities, pursue one with endless opportunities. Imagine Next! At Parsons, you ... insurance, flexible work schedules, and holidays to fit your busy lifestyle! Parsons is an equal ...

The ideal candidate has demonstrated experience leading enterprise data initiatives in regulated ... Lead enterprise data, analytics, governance, and AI-enabled capability delivery across a complex ...

Perform in a leadership and Solution Architect role, helping with shaping the strategic direction of our growing AI/ML, automation, and Data Analytics practice. * Deliver on projects in the areas of ...

Essential for querying and managing data in relational databases, including advanced functions like ... Associate • Google Data Analytics Professional Certificate • Certified Analytics Professional ...

Proficiency in SQL: Essential for querying and managing data in relational databases, including ... Associate Google Data Analytics Professional Certificate Certified Analytics Professional (CAP) AWS ...

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Associate In Insurance Data Analytics information

See Ashburn, VA salary details

$3.3K

$6.4K

$9.2K

How much do associate in insurance data analytics jobs pay per month?

As of Jun 8, 2026, the average monthly pay for associate in insurance data analytics in Ashburn, VA is $6,432.83, according to ZipRecruiter salary data. Most workers in this role earn between $5,833.33 and $6,858.33 per month, depending on experience, location, and employer.

What are some common challenges faced by an Associate in Insurance Data Analytics, and how can they be addressed?

Associates in Insurance Data Analytics often encounter challenges such as working with large, complex datasets and ensuring data accuracy for reliable analysis. Additionally, interpreting data in the context of insurance policies and risk models requires both technical and industry-specific knowledge. Collaborating closely with underwriters, actuaries, and claims teams can help bridge knowledge gaps and enhance data-driven decision-making. Staying up-to-date with analytical tools and best practices can also help overcome these challenges and support career growth.

What is the difference between Associate In Insurance Data Analytics vs Insurance Data Analyst?

AspectAssociate In Insurance Data AnalyticsInsurance Data Analyst
Required CredentialsBachelor's degree in data science, statistics, or related field; certifications like CAP or CPCU beneficialBachelor's degree in data analysis, statistics, or related field; certifications like CAP or CPCU beneficial
Work EnvironmentEntry-level role in insurance companies or consulting firms, focusing on data collection and basic analysisMid-level role in insurance companies, analyzing data to support underwriting, claims, and risk assessment
Employer & Industry UsageCommonly used in insurance firms, agencies, and consulting firms for data support rolesUsed within insurance companies for data-driven decision making and reporting

The Associate In Insurance Data Analytics and Insurance Data Analyst roles share similar educational backgrounds and industry usage. However, the Associate role is typically entry-level, focusing on data collection and basic analysis, while the Insurance Data Analyst often has more experience and handles more complex data analysis tasks to support business decisions.

What are the key skills and qualifications needed to thrive as an Associate in Insurance Data Analytics, and why are they important?

To thrive as an Associate in Insurance Data Analytics, you need strong analytical skills, proficiency in statistics, and a background in insurance or finance, often supported by a relevant degree. Familiarity with data analysis tools like SQL, Python, R, and insurance-specific platforms or certifications such as the CPCU or AIDA is highly valued. Attention to detail, problem-solving abilities, and effective communication are critical soft skills for interpreting data and conveying insights to stakeholders. These skills are essential for transforming complex insurance data into actionable strategies that drive business decisions and risk management.

What are Associate In Insurance Data Analytics?

An Associate in Insurance Data Analytics is a professional who specializes in analyzing data within the insurance industry to help companies make informed decisions. They use statistical methods, data modeling, and business intelligence tools to derive insights about risk, customer behavior, and market trends. This role often requires knowledge of insurance processes, as well as technical skills in data analysis and interpretation. They play a key part in helping insurers optimize underwriting, pricing, claims, and customer experience.
What are popular job titles related to Associate In Insurance Data Analytics jobs in Ashburn, VA? For Associate In Insurance Data Analytics jobs in Ashburn, VA, the most frequently searched job titles are:
What job categories do people searching Associate In Insurance Data Analytics jobs in Ashburn, VA look for? The top searched job categories for Associate In Insurance Data Analytics jobs in Ashburn, VA are:
What cities near Ashburn, VA are hiring for Associate In Insurance Data Analytics jobs? Cities near Ashburn, VA with the most Associate In Insurance Data Analytics job openings:
Data Analytics Team Lead

Data Analytics Team Lead

Parsons Corporation

Washington, DC • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 5 days ago


Parsons rating

7.9

Company rating: 7.9 out of 10

Based on 44 frontline employees who took The Breakroom Quiz

156th of 352 rated engineering


Job description

In a world of possibilities, pursue one with endless opportunities. Imagine Next!
At Parsons, you can imagine a career where you thrive, work with exceptional people, and be yourself. Guided by our leadership vision of valuing people, embracing agility, and fostering growth, we cultivate an innovative culture that empowers you to achieve your full potential. Unleash your talent and redefine what's possible.
Job Description:
We have a career opportunity for an experienced Data Analytics Team Lead to guide the design, development, and delivery of advanced analytics that support enterprise-level decision-making. This role is to be based out our Parsons DC office. This is an onsite role.
This Team Lead will oversee the creation of metrics, dashboards, and analytical products that measure performance, track progress against benchmarks, and provide actionable insights for programs, operations, and strategic initiatives. The role will focus on consolidating data from multiple systems of record, improving data quality, and enabling data-driven decision-making across the organization.
The Data Analytics Team Lead is a hands-on leader with strong capabilities in analytics strategy, KPI development, data modeling, and business intelligence. This role requires the ability to translate complex business needs into analytical requirements, prioritize work across multiple initiatives, and deliver intuitive, high-quality reporting solutions. The lead will coordinate with stakeholders, promote best practices, and ensure that analytics products are robust, scalable, and aligned with organizational standards.
This position also plays a key part in building team capacity by mentoring analysts, standardizing methods, and contributing to the continuous improvement of our analytics ecosystem.
Key Responsibilities:
  • Lead the design and implementation of analytics solutions-including dashboards, reports, KPI frameworks, and benchmark analyses-to support program performance management and data-driven decisions.
  • Consolidate and integrate data from multiple internal and external systems (e.g., SAM, FSMS, SharePoint) to provide consistent, trusted metrics and insights.
  • Define and manage key performance indicators, targets, and benchmarks that align with strategic and operational objectives.
  • Oversee the development and sustainment of dashboards and reporting tools, ensuring that they are intuitive, reliable, and tailored to stakeholder needs.
  • Drive data quality improvement efforts, including validation routines, reconciliation processes, and standards for data completeness and accuracy.
  • Collaborate with program managers, engineers, financial analysts, and technical staff to understand analytic needs, refine requirements, and prioritize work.
  • Document analytical methods, data definitions, calculation logic, and reporting standards to ensure clarity, maintainability, and consistency.
  • Conduct advanced analytics to assess performance against benchmarks and identify trends, risks, and opportunities for improvement.
  • Provide technical guidance and review for dashboards, reports, and analyses developed by team members.
  • Support planning and coordination of analytics-related tasks within broader projects and programs, including timelines, dependencies, and deliverables.
  • Mentor junior analysts, foster an analytical culture, and help institutionalize best practices in reporting, visualization, and analytics.

Typical Assignments:
  • Designing and maintaining performance dashboards for program and portfolio management, including KPIs tied to capital projects, asset management, and operational metrics.
  • Leading cross-system data consolidation initiatives, integrating data from SAM, FSMS, and other systems into analysis-ready datasets.
  • Developing and refining benchmark and trend analyses to support leadership reviews and strategic planning.
  • Reviewing analytics products for methodological rigor, accuracy, and alignment with standards.
  • Preparing executive-level presentations that clearly summarize performance, key findings, and recommendations.
  • Coordinating with technical teams to ensure underlying data pipelines and models support the analytics roadmap.
  • Supporting periodic reporting cycles and ad hoc data calls, ensuring timely and accurate responses.

Education and Experience:
  • Bachelor's degree in Data Analytics, Statistics, Information Systems, Computer Science, Engineering, or a closely related field., or equivalent work expeience.
  • 8+ years of experience working within DHS or DoD environments.
  • 8+ years of hands-on data analytics experience, including KPI development, dashboarding, and performance measurement.
  • Demonstrated experience leading analytics initiatives or teams, including prioritization, stakeholder engagement, and delivery of complex analytical products.
  • Strong background in data modeling, data structures, and relational concepts.
  • Proficiency with business intelligence tools (e.g., Power BI) and data preparation tools (e.g., Power Query, SQL).
  • Proven ability to interpret complex datasets and communicate insights in clear, compelling formats for executive and operational audiences.
  • Experience working with cross-functional teams and supporting program- or portfolio-level analytics in civil engineering, infrastructure, logistics, or related domains is preferred.
  • Prior experience mentoring analysts or contributing to analytics standards and governance is a plus.

Security Clearance Requirement:
None
This position is part of our Critical Infrastructure team.
For more than 80 years, our experts have designed and delivered the critical infrastructure that connects and protects communities around the world. We work in collaborative teams, both within the company and with our partners and customers, to plan, design, build, and modernize infrastructure. We take special pride in projects and solutions that improve communities as well as people's quality of life by promoting economic growth, enhancing mobility, and increasing sustainability and resiliency. Powered by our people, we provide the imagination necessary to support our customers' visions-and to help them see what's next!
Salary Range: $112,200.00 - $196,400.00
We value our employees and want our employees to take care of their overall wellbeing, which is why we offer best-in-class benefits such as medical, dental, vision, paid time off, Employee Stock Ownership Plan (ESOP), 401(k), life insurance, flexible work schedules, and holidays to fit your busy lifestyle!
Parsons is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, veteran status or any other protected status.
We truly invest and care about our employee's wellbeing and provide endless growth opportunities as the sky is the limit, so aim for the stars! Imagine next and join the Parsons quest-APPLY TODAY!
Parsons is aware of fraudulent recruitment practices. To learn more about recruitment fraud and how to report it, please refer to https://www.parsons.com/fraudulent-recruitment/.

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