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Senior Insurance Data Analytics Jobs in Virginia

Highspring

Senior Manager, Data & Analytics

Mclean, VA · On-site

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 ...

Highspring

Senior Manager, Data & Analytics

Mclean, VA · On-site

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 ...

KORE1 Technologies

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 ...

KORE1 Technologies

Data Analytics Engineer

Glen Allen, VA · On-site

$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 ...

Data Intelligence LLC

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.

TriOptus LLC

Senior Data Analytics Developer

Mclean, VA · On-site

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 ...

Ag

Data Analytics Specialist

Dulles, VA · On-site +1

Health insurance, well-being programs HOW YOU WILL CONTRIBUTE TO THE TEAM Regional Adoption ... Data Analysis and Insight: 30% * Conduct in-depth data analysis and experimentation to uncover ...

Airbus

Data Analytics Specialist

Dulles, VA · On-site

Health insurance, well-being programs HOW YOU WILL CONTRIBUTE TO THE TEAM Regional Adoption ... Data Analysis and Insight: 30% * Conduct in-depth data analysis and experimentation to uncover ...

Ignite Digital

Senior Data Analyst

Chesapeake, VA

$100K/yr

... advanced analytics efforts supporting a US Navy data analytics, cloud management, and IT ... Position Overview The Senior Data Analyst provides strategic direction, technical expertise, and ...

Arka Infotech Inc

Healthcare Data Architect

Richmond, VA

$63 - $81.25/hr

... Insurance enterprise data architecture for operational data stores, MDM data stores, integration data stores, data warehouses, analytics hubs and data marts. o Perform the detailed data analysis.

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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?

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 Insurance Data Analytics jobs near you

Senior Manager, Data & Analytics

Highspring

Mclean, VA • On-site

Full-time

Re-posted 18 days ago

Job description

Transform Your Career
We deliver unparalleled opportunities for growth and career advancement. Our dynamic, entrepreneurial culture supports your journey every step of the way.
Embrace new challenges and deliver real value to some of the world's most influential Fortune 100 brands, growth companies transforming their industries, and mid-market firms that need help navigating the defining moments of their lifecycle. Work side by side with business leaders to solve complex client challenges and make a true impact. Love what you do as part of a diverse organization committed to collaboration and continuous learning.
The Team - Data & Analytics
Our Data & Analytics practice is comprised of functional and technical experts across data strategy, data engineering, analytics, and transformation. We help clients maximize the value of their data by designing modern data platforms, building scalable pipelines, and delivering analytics and reporting solutions that enable better decision-making. Our consultants are hands-on problem solvers who partner closely with clients in fast-paced, project-based environments.
You Are
You are a team-builder and problem-solver. You stay updated on new products and technologies. You have hands-on experience using f data, automation, and AI/ML tools and applications to creatively design, prototype, and implement solutions for your clients. You know that collaboration is key, so you look for ways to share and source best practices. If there's a new way to do something that improves outcomes for clients, you'll find it.
Your Impact
  • Design and build modern data warehouses and analytics-ready data models
  • Develop scalable, reliable data pipelines using cloud-based data platforms
  • Implement analytics, reporting, and visualization solutions that translate complex data into clear, actionable insights for client stakeholders
  • Partner with client teams to understand business objectives, data challenges, and success metrics through interviews and working sessions
  • Manage discrete project workstreams, balancing technical execution with client communication and delivery timelines
  • Present findings, recommendations, and solution designs to both technical and non-technical audiences
  • Leverage AI-assisted development environments to design, generate, test, and iterate on production-quality analytics and data engineering code
  • Support broader data transformation initiatives, including system implementations, migrations, and modernization efforts
  • Actively participate in internal knowledge sharing, mentoring, and career development activities
  • 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 data management, data governance, dashboard monitoring, DQ dashboards, data controls, data lineage, and data mapping.
  • Support data transformation initiatives across a range of service lines, including:
    • M&A Lifecycle (integrations, divestitures, and carveouts)
    • Finance Transformation
    • Enterprise Data Strategy / Governance Standup
    • Process Improvement and Automation
    • System Implementations / Migrations
    • Data and Automation Strategy and Road mapping (including how companies can leverage AI, ML, and other advanced data modeling concepts)
  • Identify insights through use of statistical, algorithmic, mining and visualization techniques.
  • Conduct interviews with client stakeholders to identify process and data challenges.
  • Document and present findings to both technical and non-technical audiences.
  • Develop analytical proof-of-concept prototypes and/ or deliver large-scale analytical platform implementations to fulfill clients' tactical and strategic requirements.
  • Develop business procedures and data management policies for ensuring data accuracy and control.
  • Create model documentation, develop implementation roadmaps, and perform knowledge transfers.

At a minimum, you will have:
  • 5+ years of data analytics, AI, ML, or GenAI experience
  • Tier 1/Tier 2 consulting or professional services firms.
  • Experience architecting and developing AI/ML solutions.
  • Experience programming in Python, SQL, and/or R.
  • Experience using GitHub (e.g., source code management).
  • Comprehensive knowledge of modern statistical learning methods.
  • Experience using applied statistics or machine learning in a professional or other intensive problem-solving environment with large, complex datasets.
  • Experience with any of the following commercial analytics, automation, and AI/ML tools: Alteryx, Power BI, Tableau, Power Automate, UiPath, Automation Anywhere, AI/ML/GenAI platforms, Informatica, Oracle EDMC, etc.
  • Proven ability to lead, motivate and build teams that deliver services and solutions that surpass client expectations.
  • Ability to lead workshops, including the gathering/documenting of requirements and use-cases and recommendation of envisioned processes.
  • Experience presenting to CXO suite.
  • Industry experience within Financial Services, Technology/SaaS, and/or Supply Chain.
  • Understanding of typical software development lifecycles (Waterfall and Agile) and their associated lifecycle artifacts.
  • Experience with identifying and correcting problems in imperfect data and processes.
  • Bachelor's degree in Mathematics, Statistics, Computer Science, Information Systems, or other technology-related field or equivalent number of years of experience
  • Flexibility to accommodate travel up to 25%.

Preferably, you will have:
  • Strong business skills and experience in accounting, corporate finance, and FP&A.
  • Familiarity with the M&A transaction lifecycle.
  • Master's degree in Information Technology, Statistics, Physics, Analytics or related field.
  • Experience managing technical development by acting as a liaison between the technical team and the user community.

The Kind of Person Who Thrives in This Role
We are not looking for someone who fits neatly into a single box. The ideal candidate is a "bridger"-someone who can move fluidly between a technical deep dive and an executive conversation. Specifically:
  • You're a builder, not just an analyst. When you see a gap in a process or a tool, your instinct is to prototype something-a script, a template, a dashboard, not just write a slide about it.
  • You're curious about "why" and "so what." You don't just want to understand how a transformer model works; you want to understand what that means for how organizations should govern and secure it.
  • You write well. A significant portion of this role involves producing written work-reports, frameworks, articles-and clarity of writing is non-negotiable.
  • You're comfortable being the least experienced person in the room. You'll be in meetings with CIOs, CISOs, and senior partners. You need the confidence to contribute and the humility to learn.

What We Offer
  • Accelerated growth trajectory: You'll be building a practice from the ground up alongside senior leadership, gaining exposure and responsibility that would take years to earn in a larger, more established team.
  • Investment in your learning: Budget for certifications, training programs, and conference attendance.
  • Client diversity: Work across industries and with organizations at different stages of AI maturity-from Fortune 500 companies to mid-market firms navigating their first AI initiatives.

Determining compensation for this role (and others) at Highspring depends upon a wide array of factors including but not limited to the individual's skill sets, experience and training, licensure and certifications, office location and other geographic considerations, as well as other business and organizational needs. With that said, as required by local law, Highspring believes that the following salary range reasonably estimates the base compensation for an individual hired into this position in geographies that require salary range disclosure to be between the range below. The individual may also be eligible for a variety of bonus and financial incentives based on individual and company performance.
Base Compensation Range
$162,415-$256,356 USD

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