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Associate In Insurance Data Analytics Jobs in Virginia

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 ... In this role, you'll be both a hands-on builder and a technical partner to the business, designing ...

Data Analytics Consultant

Arlington, VA · On-site

$65K - $108K/yr

Finding patterns and trends in the analyzed data to improve efficiencies * Utilize SQL to reconcile ... Medical, Rx, Dental & Vision Insurance * Personal and Family Sick Time & Company Paid Holidays

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 ...

Senior Data Analyst

Quantico, VA

$91.10K - $114.90K/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 ...

$48K - $115.50K/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 ...

Senior Data Analyst

Quantico, VA · On-site

$91.10K - $114.90K/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 ...

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

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 ...

In a world of disruption, our solutions empower organizations to navigate challenges seamlessly ... Deloitte's Workforce Data & Analytics Team leverages the power of data, data science, analytics ...

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Associate In Insurance Data Analytics information

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 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 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 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 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:
Data Analytics Engineer

Data Analytics Engineer

KORE1 Technologies

Glen Allen, VA • On-site

$180K - $200K/yr

Full-time

Posted 5 days ago


Job description

KORE1, a nationwide provider of staffing and recruiting solutions, has an immediate opening for Data Analytics Engineer
The Opportunity
is hiring a Data Analytics Engineer to help build the data foundation that powers trustworthy reporting, self-serve insights, and decision-making across the company. This is a unique opportunity to join at the ground floor and own the core analytics engineering layer end-to-end, from defining foundational metrics and data models to implementing best practices that scale.
In this role, you'll be both a hands-on builder and a technical partner to the business, designing data architecture, developing foundational models in dbt, and partnering with Product, Engineering, and GTM leaders to turn ambiguous questions into reliable, reusable data products.
This is a senior individual contributor role. You'll lead through technical ownership, influence, and execution, while helping set standards and patterns that future hires will build on.
What You'll Do
Help Build the Data Foundation
* Execute the analytics engineering roadmap by identifying the highest-leverage data opportunities and delivering the models and datasets needed to support them
* Design and build a single source of truth by developing foundational data models (dimensional modeling, star schemas, modular marts) that standardize business definitions and metrics
* Manage a modern analytics infrastructure by implementing and using tools like dbt, Snowflake, and Git, including CI/CD patterns
* Implement scalable standards for modeling, naming, testing, documentation, and dataset ownership to ensure maintainability as the organization grows
* Improve trust in data by implementing data quality checks, monitoring and observability practices, and clear guidance on what is trusted
* Partner cross-functionally with engineering, product, finance, and other business leaders to understand data needs and deliver solutions that drive decisions and outcomes
Enable Self-Serve and Decision-Making
* Build curated datasets and semantic-friendly layers that keep BI and reporting consistent and reliable
* Create dashboards and analytics tools that empower stakeholders to self-serve confidently, with clear definitions and documentation
* Translate ambiguous business questions into structured, scalable data solutions, and not one-off queries
* Translate complex analytical findings into clear, actionable recommendations that influence product strategy
Lead Through Technical Ownership
* Act as the analytics engineering voice in technical decisions, ensuring solutions are practical, robust, secure, and useful
* Drive cross-functional projects from discovery through delivery, influencing outcomes without formal authority
* Contribute to data literacy and adoption through metrics definitions, training, and strong documentation
* Collaborate with product managers during discovery to identify the right problems to solve using data
What We're Looking For
Analytics Engineering and Modeling Expertise
* 5 to 8+ years in analytics engineering, data engineering, BI, or closely related roles, with senior-level scope
* Advanced proficiency in SQL and cloud data warehouses (Snowflake preferred)
* Strong hands-on experience with dbt (or similar transformation frameworks), including modular project organization, plus testing and documentation practices
* Proven ability to design scalable, reusable data models (dimensional modeling, star schemas, canonical metrics, shared dimensions)
* Experience with BI tools (Looker, Tableau, Mode, or similar) and building datasets that support reliable reporting
* Working knowledge of Python for scripting, automation, and data transformation
Engineering Rigor and End-to-End Ownership
* Comfort owning pipelines and data flows end-to-end (sources to warehouse to transformations to BI and downstream consumption)
* Familiarity with Git and GitHub, code review workflows, and CI/CD practices for analytics code
* Experience implementing data quality and reliability patterns (dbt tests, Great Expectations, Monte Carlo, alerting, SLAs, or similar)
* Strong understanding of modern data architecture patterns and tradeoffs, with the ability to build what's needed now while planning for scale
Business Partnership and Senior IC Skills
* Strong track record partnering with non-technical stakeholders, turning vague questions into clear requirements, then turning requirements into reliable data products
* Excellent communication skills, including explaining data concepts to business audiences and aligning on definitions and outcomes
* Strong prioritization instincts, focusing on work that unlocks the most value and reduces recurring pain
* Comfortable operating in ambiguity, moving fast while maintaining trust and quality
Bonus Points
* Experience with semantic modeling layers like LookML
* Familiarity with workflow orchestration tools (Hevo, Airflow, Dagster)
* Background in high-growth startup or tech environments
* Knowledge of data cataloging and metadata management tools (Atlan, etc.)
* Understanding of AI/ML applications and prompt engineering for LLMs
* Experience with statistical analysis and experimental design
Why This Role Is Special
This is a rare opportunity to help define the analytics function at a growing company. You'll have the freedom to establish best practices, choose our tooling, and have an immediate impact on business decisions. If you're someone who gets excited about both the big picture strategy and rolling up your sleeves to build, this role offers the best of both worlds. You'll work closely with leadership to shape how uses data to drive growth.
About
Our Mission: 'Help ALL frontline workers feel more valued and connected so they can reach their full potential. And live a more fulfilling life.'
We're building world-class applications that solve real problems for real people. We obsess over customer needs, move fast, and celebrate wins together. If you thrive in environments where you can touch every part of the stack and see your work make an immediate difference, you'll love it here.
Job Requirements
Compensation depends on experience but is typically 180k-200k
ABOUT KORE1
Specializing in professional and technical recruiting, KORE1 is committed to supporting top IT, Engineering, Creative, Scientific, Accounting and Finance professionals in their career paths. We build deep relationships with leading companies, connecting them to exceptional talent every day. With extensive industry expertise and unmatched opportunities, our goal is to provide a unique experience for our contractors and consultants as they prepare for their next role. We are passionate about matching the right people with the right companies.
Kore1 provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, Kore1 complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. Kore1 expressly prohibits any form of workplace harassment based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. Improper interference with the ability of Kore1's employees to perform their job duties may result in discipline up to and including discharge.