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Associate In Insurance Data Analytics Jobs in Virginia

Highspring

Manager, Data & Analytics

Mclean, VA · On-site

Actively participate in internal knowledge sharing, mentoring, and career development activities. * Support the shaping of the strategic direction of our growing AI/ML, automation, and Data Analytics ...

Deloitte

Insurance Claims Business Analyst

Mclean, VA · On-site

Associate in Claims (AIC), Chartered Property Casualty Underwriter (CPCU), or Associate in Risk ... We implement innovative technology solutions spanning core, digital, data, analytics, cloud and AI.

Highspring

Senior Consultant - Data & Analytics

Mclean, VA

$86K - $109K/yr

Our consultants are hands-on problem solvers who partner closely with clients in fast-paced, project-based environments. Your Impact As a Senior Consultant, Data & Analytics, you will: * Design and ...

CGI Inc.

Data Analytics Developer, Senior

Arlington, VA · On-site

This position is located in our Arlington, VA office; however, a hybrid working model is acceptable ... insurance options • Matching contributions through the 401(k) plan and the share purchase plan ...

CGI

Data Analytics Developer, Senior

Arlington, VA · On-site

This position is located in our Arlington, VA office; however, a hybrid working model is acceptable ... insurance options • Matching contributions through the 401(k) plan and the share purchase plan ...

Data Intelligence LLC

Senior Data Analyst

Quantico, VA · On-site

$91K - $114K/yr

Minimum 10 years of professional experience in data science or advanced analytics * Experience with ... Microsoft Technical Associate (MTA), MCPD, MCSD, MCSE * Certificate of Cloud Security Knowledge ...

Stbancorp

$48K - $115K/yr

The Data & Analytics Senior Analyst works at the direction of a Team Leader to fulfill the data and ... Delivers analytical solutions, in a timely and accurate manner, with some direction from their ...

ICF

Manager, Data Analytics - Remote

Reston, VA · Remote

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 ...

TLA-LLC

Data Analyst

Mclean, VA · On-site

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

TLA-LLC

Data Analyst

Mclean, VA

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

Highspring

Senior Consultant - Data & Analytics

Mclean, VA · On-site

$76K - $122K/yr

Our consultants are hands-on problem solvers who partner closely with clients in fast-paced, project-based environments. Your Impact As a Senior Consultant, Data & Analytics, you will: * Design and ...

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All JobsAssociate In Insurance Data Analytics JobsAssociate In Insurance Data Analytics Jobs in Virginia

Associate In Insurance Data Analytics information

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.

How much does a data analyst make at World insurance Associates?

A data analyst at World Insurance Associates typically earns between $55,000 and $75,000 annually, depending on experience and location. The role often requires proficiency in data analysis tools like Excel, SQL, or Tableau and may involve working with insurance data 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.

Is AI replacing data analysts?

For an Associate in Insurance Data Analytics, AI tools are increasingly used to automate routine data processing and analysis tasks, enhancing efficiency. However, AI does not replace the need for skilled analysts who interpret insights, make strategic decisions, and ensure data quality, making human expertise essential in the role.

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 can you do with an associate's in data analytics?

An associate's in data analytics prepares individuals for roles such as data analyst or insurance data analyst, where they interpret data, create reports, and support decision-making processes. These roles often involve using tools like Excel, SQL, or data visualization software and may require understanding insurance industry data and analytics techniques.

What does a data analyst do at an insurance company?

A data analyst in an insurance company collects, processes, and analyzes data related to policies, claims, and customer behavior to identify trends and support decision-making. They often use tools like Excel, SQL, and data visualization software to create reports and improve risk assessment, pricing, and fraud detection processes.
What are popular job titles related to Associate In Insurance Data Analytics jobs in Virginia? For Associate In Insurance Data Analytics jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Associate In Insurance Data Analytics jobs in Virginia look for? The top searched job categories for Associate In Insurance Data Analytics jobs in Virginia are:
What cities in Virginia are hiring for Associate In Insurance Data Analytics jobs? Cities in Virginia with the most Associate In Insurance Data Analytics job openings:
Associate In Insurance Data Analytics jobs near you

Manager, Data & Analytics

Highspring

Mclean, VA • On-site

Other

Posted 8 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.
  • Support the shaping of 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:
  • 4+ 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
$123,988-$243,623 USD

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