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Associate Data Analyst Jobs in Chester, VA (NOW HIRING)

Key Choice Group

Power BI Developer

Glen Allen, VA · On-site

... Data Analyst Associate Certification - Azure Enterprise Data Analyst Associate Certification - Insurance-related certifications such as AIDA or CPCU - Experience training or onboarding users on ...

Penske

Operational Excellence Analyst

Richmond, VA · On-site

$75K - $80K/yr

Major Responsibilities: - Data Analysis / Report Generation: -Automate data retrieval and ... The associate is frequently required to use hands to touch, handle, and feel, and to reach with ...

Penske

Operational Excellence Analyst

Richmond, VA

$75K - $80K/yr

Major Responsibilities: - Data Analysis / Report Generation: -Automate data retrieval and ... With headquarters in Reading, PA, Penske and its associates are driven by a dedication to ...

Penske

Operational Excellence Analyst

Richmond, VA

$75K - $80K/yr

Major Responsibilities: - Data Analysis / Report Generation: -Automate data retrieval and ... With headquarters in Reading, PA, Penske and its associates are driven by a dedication to ...

CarMax, Inc.

Senior Manager, Data Science

Richmond, VA · On-site

Analyze large-scale, complex datasets (customer, transactional, digital, and third-party data) to ... Deliver tools that enhance both the customer and associate experience * Build scalable data and ...

Carmax

Senior Manager, Data Science

Richmond, VA · On-site

$138K - $221K/yr

Analyze large-scale, complex datasets (customer, transactional, digital, and third-party data) to ... Deliver tools that enhance both the customer and associate experience * Build scalable data and ...

Carmax

Senior Manager, Data Science

Richmond, VA · On-site

Analyze large-scale, complex datasets (customer, transactional, digital, and third-party data) to ... Deliver tools that enhance both the customer and associate experience * Build scalable data and ...

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All JobsAssociate Data Analyst JobsAssociate Data Analyst Jobs in Chester, VA

Associate Data Analyst information

See Chester, VA salary details

$31.3K

$76K

$125.2K

How much do associate data analyst jobs pay per year?

As of Aug 13, 2026, the average yearly pay for associate data analyst in Chester, VA is $76,047.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,500.00 and $89,300.00 per year, depending on experience, location, and employer.

Is an associate data analyst in data analytics worth it?

An associate data analyst role provides foundational experience in data collection, analysis, and visualization using tools like Excel, SQL, and Tableau. It can lead to career growth in data analytics or related fields, with entry-level salaries typically ranging from $50,000 to $70,000 annually depending on location and industry. Gaining certifications such as Microsoft Data Analyst Associate can enhance job prospects and earning potential.

What are some typical projects an associate data analyst might work on during their first year?

As an Associate Data Analyst, you can expect to work on projects such as cleaning and organizing data sets, creating basic visualizations and reports, and assisting with data quality checks. You'll likely collaborate closely with senior analysts and team members from departments like marketing, finance, or operations to support ongoing analyses or new initiatives. Many entry-level projects focus on transforming raw data into actionable insights, which helps you build foundational skills and gain experience with common tools and methodologies in the field.

What are the key skills and qualifications needed to thrive as an associate data analyst, and why are they important?

To thrive as an Associate Data Analyst, you need strong analytical abilities, proficiency in data interpretation, and a relevant degree such as in statistics, mathematics, or computer science. Familiarity with tools like SQL, Excel, and data visualization platforms (e.g., Tableau or Power BI) is typically required, along with knowledge of basic programming languages like Python or R. Attention to detail, critical thinking, and effective communication are key soft skills for translating data insights into actionable recommendations for stakeholders. These skills ensure accurate data analysis, clear reporting, and informed business decisions, which are crucial for organizational success.

Can I be an associate data analyst with no experience?

Entry-level associate data analyst positions often do not require prior experience and may focus on foundational skills such as Excel, SQL, or basic data visualization. Candidates with relevant coursework, certifications, or strong analytical aptitude can qualify even without professional experience.

What does an associate data analyst do?

An Associate Data Analyst is responsible for collecting, processing, and analyzing data to help their organization make informed business decisions. They typically work with large datasets, create reports, identify trends, and support senior analysts or data scientists. Their tasks often involve using tools like Excel, SQL, and data visualization software to present findings clearly to stakeholders. This entry-level role serves as a foundation for advancing into more specialized data analysis positions.

What is the difference between Associate Data Analyst vs Data Analyst?

AspectAssociate Data AnalystData Analyst
Required CredentialsBachelor's degree in related field, some certificationsBachelor's degree, often with additional certifications or experience
Work EnvironmentEntry-level, supporting data teams, learning-focusedMore independent, responsible for analysis and reporting
Employer & Industry UsageCommon in tech, finance, healthcare, entry-level rolesWidely used across industries, mid-level position

The main difference between an Associate Data Analyst and a Data Analyst lies in experience and responsibility. Associate Data Analysts are typically entry-level, focusing on supporting data tasks and gaining skills, while Data Analysts handle more complex analysis and decision-making. Both roles require similar educational backgrounds, but Data Analysts usually have more experience and autonomy.

What are the most commonly searched types of Data Analyst jobs in Chester, VA?

The most popular types of Data Analyst jobs in Chester, VA are:

What job categories do people searching Associate Data Analyst jobs in Chester, VA look for?

The top searched job categories for Associate Data Analyst jobs in Chester, VA are:

What cities near Chester, VA are hiring for Associate Data Analyst jobs?

Cities near Chester, VA with the most Associate Data Analyst job openings:

Associate Data Analyst jobs near you

Data Product and Integration Analyst

Genworth Financial, Inc.

Richmond, VA • On-site

Full-time

Medical, Life, Retirement, PTO

Posted 17 days ago

Genworth Financial rating

8.5

Company rating: 8.5 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

105th of 306 rated insurance

Job description

At Genworth, we empower families to navigate the aging journey with confidence. We are compassionate, experienced allies for those navigating care with guidance, products, and services that meet families where they are. Further, we are the spouses, children, siblings, friends, and neighbors of those that need care-and we bring those experiences with us to work in serving our millions of policyholders each day.
We apply that same compassion and empathy as we work with each other and our local communities. Genworth values all perspectives, characteristics, and experiences so that employees can bring their full, authentic selves to work to help each other and our company succeed. We celebrate our diversity and understand that being intentional about inclusion is the only way to create a sense of belonging for all associates. We also invest in the vitality of our local communities through grants from the Genworth Foundation, event sponsorships, and employee volunteerism.
Our four values guide our strategy, our decisions, and our interactions:
  • Make it human. We care about the people that make up our customers, colleagues, and communities.
  • Make it about others. We do what's best for our customers and collaborate to drive progress.
  • Make it happen. We work with intention toward a common purpose and forge ways forward together.
  • Make it better. We create fulfilling purpose-driven careers by learning from the world and each other.

POSITION TITLE
Data Product and Integration Analyst
POSITION LOCATION
Richmond, VA
This position is available to Virginia residents as Richmond, Virginia in-office applicants
*A Hybrid schedule of both Remote and In-Office days is required. In office days are Tuesday, Wednesday and Thursday with working hours targeting our core business hours of 9am-5pm EST.
YOUR ROLE
The Data Product & Integration Analyst serves as a key connector between business stakeholders, analytics teams, data engineering, and technology partners to strengthen how enterprise data is defined, integrated, governed, and used. This role is responsible for helping create trusted, curated data assets that support customer segmentation, business reporting, analytics, and informed decision-making across critical policy, customer, and risk-related domains.
The individual will translate business needs into clear data requirements, validate data mappings and business rules, document definitions and lineage, and support data quality controls that improve consistency, usability, and trust. The role also contributes to continuous improvement by identifying opportunities to enhance data accessibility, streamline data processes, strengthen governance practices, and enable scalable data products for reporting and strategic analytics.
What you will be doing
Data Integration & Management
  • Design and maintain curated datasets that integrate data across multiple systems and domains supporting customer segmentation, and critical business reporting needs.
  • Partner with data engineering teams to identify, source, and transform data from multiple systems into trusted enterprise data assets.
  • Validate data mappings, lineage, and business rules to ensure accuracy, consistency, and traceability across data domains.
  • Support the development and maintenance of data products that enable reporting, analytics, and informed business decision-making.

Data Governance & Stewardship
  • Apply enterprise data governance principles to strengthen data quality, integrity, consistency, and usability.
  • Develop and maintain business metadata, data dictionaries, business glossaries, and lineage documentation.
  • Define and monitor data quality controls, identify issues, and coordinate remediation activities with appropriate stakeholders.
  • Partner with business and technology stakeholders to establish common definitions and governance standards across data domains.

Business Translation & Requirements Management
  • Act as a liaison between business stakeholders and technical teams, translating business needs into clear, actionable data requirements.
  • Analyze business processes to understand how data is generated, consumed, and used across the organization.
  • Facilitate discussions to align stakeholders on data definitions, requirements, priorities, and expected outcomes.
  • Partner with reporting and analytics teams to ensure data solutions support business objectives and decision-making needs.

Analytics & Continuous Improvement
  • Identify opportunities to improve data accessibility, data quality, process efficiency, and governance practices.
  • Perform exploratory analysis to validate business assumptions and support strategic initiatives.
  • Recommend enhancements to data models, data flows, and governance processes.
  • Support enterprise initiatives involving customer segmentation, risk analytics, and operational reporting.

Collaboration & Leadership
  • Serve as a subject matter resource for data assets within assigned business domains.
  • Provide guidance to team members and stakeholders on data governance standards and best practices.
  • Lead small projects or workstreams involving data integration, governance, or process improvement.
  • Build strong relationships across business, analytics, data engineering, and technology teams.

What you bring
  • Bachelor's degree in Information Systems, Data Analytics, Computer Science, Business, Statistics, or a related field, or equivalent work experience.
  • Minimum of 5 years' experience in data analysis, business analysis, data governance, data stewardship, data modeling, or data engineering in a dynamic environment.
  • Minimum of 5 years' experience with SQL, including authoring highly complex queries to extract, transform, and analyze large data sets.
  • Minimum of 3 years' experience using Power BI, with proficiency in semantic models, dataflows, gateways, and publishing to Power BI Server.
  • Minimum of 3 years' experience with scripting languages, such as Python or R.
  • Minimum of 3 years' experience supporting data governance, metadata management, or data quality initiatives.
  • Minimum of 3 years' experience working within Azure or other cloud environments and related data services, including familiarity with data warehouse, data lake, and modern data architecture concepts.
  • Strong understanding of data governance, data quality, metadata management, and data lineage concepts, including familiarity with enterprise data catalog and governance platforms.
  • Experience with Git-based source code management tools and practices.
  • Advanced Microsoft Excel skills, including developing pivot tables, connecting to external data sources, and automating tasks with VBA.
  • Experience with Agile delivery methodologies.
  • Critical Thinking: Strong analytical and problem-solving skills, including the ability to apply quantitative and qualitative insights to support business strategy and effective execution.
  • Results Orientation: Strong sense of urgency and accountability, with a consistent focus on delivering high-quality work within deadlines.
  • Self-Motivation: Ability to manage multiple and changing priorities independently while maintaining a drive for results in a fast-paced environment.
  • Communication:
  • Deliver clear and effective verbal and written communications to both technical and non-technical audiences.
  • Understand, analyze, and document complex business processes.
  • Translate business requirements into practical technical data solutions.
  • Teamwork & Collaboration:
  • Build relationships and collaborate effectively with cross-functional teams, influencing outcomes and contributing as a strong team player.
  • Demonstrate excellent stakeholder management and cross-functional collaboration skills.

Nice to Have
  • Master's degree in Data Analytics or a related discipline.
  • Experience supporting customer segmentation or advanced analytics initiatives.
  • Experience migrating legacy data systems to Azure or other cloud platforms.
  • Experience leveraging big data technologies such as Azure Databricks to process large datasets, enable advanced analytics, and increase data throughput.
  • Advanced Power BI experience designing and implementing interactive dashboards for executive leadership to enable real-time, data-driven decision-making.
  • Python or R experience building predictive models to forecast customer or claims experience.
  • Database and ETL experience developing and maintaining SQL Server databases and ETL pipelines that support seamless integration of diverse data sources.
  • Experience using Alteryx to automate complex data preparation workflows, streamline ETL processes, and improve data accuracy for analytics and reporting.
  • Familiarity with Apache Airflow for workflow orchestration and data pipeline management.
  • Experience working with insurance, policy administration, risk management, or customer data domains.
  • Long Term Care insurance product and claims process knowledge, including a strong understanding of LTC insurance products and claims workflows.

Employee Benefits & Well-Being
Genworth employees make a difference in people's lives every day. We're committed to making a difference in our employees' lives.
  • Competitive Compensation & Total Rewards Incentives
  • Comprehensive Healthcare Coverage
  • Multiple 401(k) Savings Plan Options
  • Auto Enrollment in Employer-Directed Retirement Account Feature (100% employer-funded!)
  • Generous Paid Time Off - Including 12 Paid Holidays, Volunteer Time Off and Paid Family Leave
  • Disability, Life, and Long Term Care Insurance
  • Tuition Reimbursement, Student Loan Repayment and Training & Certification Support
  • Wellness support including gym membership reimbursement and Employee Assistance Program resources (work/life support, financial & legal management)
  • Caregiver and Mental Health Support Services

ADDITIONAL
  • At this time, Genworth will not sponsor a new applicant for employment authorization for this position.

National Range: $84,400 - $127,000
Disclaimer: This role is aligned to a national market-based pay range. Actual compensation will vary based on geographic location, experience, skills, and other job-related factors. In addition to base salary, this role is eligible to participate in a bonus incentive plan. Incentive compensation is based on individual and company performance and is not guaranteed.

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