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Data And Analytics Jobs in Virginia (NOW HIRING)

Leidos

Data Analytics Instructor

Hampton, VA · On-site

$65K - $118K/yr

Leidos is thrilled to share an exciting opportunity for a mission-focused Data Analytics Instructor at Joint Base Langley-Eustis in Hampton, VA! This is a chance to directly shape the next generation ...

Leidos

Data Analytics Instructor

Hampton, VA · On-site

$65K - $118K/yr

Leidos is thrilled to share an exciting opportunity for a mission-focused Data Analytics Instructor at Joint Base Langley-Eustis in Hampton, VA! This is a chance to directly shape the next generation ...

KPMG

Manager, Oracle Data & Analytics

Ashburn, VA · On-site

KPMG is currently seeking a Manager, Oracle Data & Analytics for our Consulting practice. Responsibilities: * Lead the implementation and configuration of Oracle Fusion Data Intelligence (FDI ...

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$24

$54

$93

How much do data and analytics jobs pay per hour?

As of Aug 14, 2026, the average hourly pay for data and analytics in Virginia is $54.28, according to ZipRecruiter salary data. Most workers in this role earn between $43.61 and $61.49 per hour, depending on experience, location, and employer.

What are some common challenges faced by professionals in data and analytics roles, and how can they be addressed?

Professionals in Data and Analytics often face challenges such as managing large volumes of complex data, ensuring data quality, and translating technical findings into actionable business insights. These challenges can be addressed by developing strong data management practices, using robust data cleaning and validation tools, and improving communication skills to present analytics results to non-technical stakeholders. Collaborating closely with cross-functional teams and staying updated on the latest analytics technologies also help in overcoming these hurdles and delivering impactful results.

What is the difference between Data And Analytics vs Data Analyst?

AspectData And AnalyticsData Analyst
CredentialsOften requires degrees in data science, statistics, or related fields; certifications like CAP, Microsoft Certified Data AnalystTypically requires a bachelor's degree in data-related fields; certifications like Microsoft Data Analyst Associate
Work EnvironmentWorks with large datasets, data warehouses, and analytics tools across departmentsFocuses on data cleaning, visualization, and reporting for specific projects
Industry UsageUsed across industries for strategic insights and decision-makingCommonly employed in business, finance, healthcare for operational analysis

While Data And Analytics professionals develop comprehensive data strategies and work with complex tools, Data Analysts focus on interpreting data, creating reports, and providing actionable insights. Both roles are essential but differ in scope and depth of data handling.

Is data and analytics a good career?

Data and analytics is a growing field with strong demand for professionals skilled in data analysis, statistical methods, and tools like SQL, Python, and Tableau. It offers opportunities across industries, competitive salaries, and potential for career advancement, making it a viable and rewarding career choice.

What jobs are there in data and analytics?

Jobs in data and analytics include roles such as Data Analyst, Data Scientist, Business Intelligence Analyst, Data Engineer, and Analytics Manager. These positions typically require skills in statistical analysis, programming languages like Python or R, and familiarity with data visualization tools such as Tableau or Power BI.

What does a data and analytics job do?

A data and analytics job involves collecting, processing, and analyzing data to help organizations make informed decisions. Professionals in this field use tools like SQL, Python, or Tableau to interpret data trends, create reports, and support strategic planning.

What is data and analytics?

Data and analytics refers to the process of collecting, processing, and analyzing large sets of data to extract valuable insights that inform business decisions. This field encompasses techniques such as data mining, statistical analysis, and the use of specialized software tools to interpret trends and patterns. Professionals in data and analytics help organizations make evidence-based choices, improve efficiency, and gain a competitive edge. Their work can impact various areas, including marketing, finance, operations, and more.

What are the key skills and qualifications needed to thrive in data and analytics, and why are they important?

To thrive in Data and Analytics, you need a strong background in statistics, data modeling, and analytical reasoning, often supported by a relevant degree in mathematics, computer science, or a related field. Experience with tools and platforms such as SQL, Python, R, Tableau, and data warehousing systems is typically required, and certifications like Certified Analytics Professional (CAP) or Google Data Analytics can be advantageous. Strong problem-solving abilities, attention to detail, and effective communication skills help professionals translate complex data into actionable insights for stakeholders. These skills are crucial for driving data-driven decision-making and delivering measurable business value.

What are the most commonly searched types of Data And Analytics jobs in Virginia?

The most popular types of Data And Analytics jobs in Virginia are:

What cities in Virginia are hiring for Data And Analytics jobs?

Cities in Virginia with the most Data And Analytics job openings:

Data And Analytics jobs near you
Infographic showing various Data And Analytics job openings in Virginia as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $112,896 per year, or $54.3 per hour.

Business Analyst - Data Analytics & Reporting

Dollar Tree

Chesapeake, VA • On-site

$91K - $102K/yr

Full-time

Posted 7 days ago

Dollar Tree rating

4.4

Company rating: 4.4 out of 10

Based on 2,517 frontline employees who took The Breakroom Quiz

37th of 39 rated national retailers

Job description

Candidates must be authorized to work in the United States without the need for current or future visa sponsorship.
*This position is for full-time, onsite employment at the Family Dollar Chesapeake Store Support Center
Summary of Position (Job Purpose)
This is an exciting opportunity to join the Data & Analytics Delivery Organization at Family Dollar, where our enterprise is undergoing a major transformation to become a more data-driven organization. Insights from our rapidly growing data environment are fueling critical decisions that shape our customer experience, operational efficiency, and strategic growth.
We are seeking a skilled Business Analyst, Enterprise Data & Analytics who is passionate about building scalable data & BI solutions and lives and breathes data. This role collaborates closely with business partners, subject matter experts and engineers to define goals, translate needs into requirements, and deliver features that power analytics and reporting across the enterprise.
You will support teams across Digital Marketing, Merchandising, Data Science, Supply Chain, eCommerce, Finance, and Stores by delivering analytics solutions, metrics, dashboards, and data capabilities.
The Business Analyst must be highly collaborative, organized, analytical, and an excellent communicator and problem solver.
Principal Duties and Responsibilities
  • Partners with Director and Engineering Managers on the development and execution of enterprise data product strategy.
  • Develops clear requirements across business domains by collaborating with Business, Analytics, and Executive teams.
  • Builds and owns a portfolio of data products-including dashboards, KPIs, semantic data layers, and self-service analytics tools-for internal and external stakeholders.
  • Partners with stakeholders to define the UX requirements and user journeys.
  • Works with Analytics partners to design prototypes for metrics, dashboards, and analytical experiences.
  • Partners with Engineering Managers to manage scrum teams by setting priorities, defining epics and stories, and communicating a clear product vision.
  • Translates complex analyses and ambiguous business needs into simple, actionable requirements and clear presentations.
  • Conducts regular and ad hoc reporting, monitors KPIs, and measures product adoption, performance, and ROI.
  • Builds strong cross-functional relationships to ensure alignment across business and technical teams.
  • Maintains knowledge of industry trends, emerging data technologies, and competitive analytics capabilities to identify product improvements and innovation opportunities.
  • Partners with Data Engineering and Governance to ensure data quality, lineage, definitions, and reliability meet enterprise standards.
  • Drives user research, feedback sessions, and change management efforts to improve product usability and adoption.
  • Creates clear documentation including PRDs, user stories, acceptance criteria, release notes, and user guides.

Minimum Requirements/Qualifications
  • Bachelor's degree in Business, Information Technology, Analytics, or related field.
  • 3+ years of experience in product management, data analytics, business intelligence, or related functions.
  • 3+ years of hands-on experience with analytics, data, or visualization tools.
  • Excellent analytical and critical-thinking skills with the ability to build business cases, measure impact, and present results to senior leadership.
  • Strong relationship-building, negotiation, and communication skills with a proven ability to influence without authority.
  • High attention to detail with the ability to manage multiple priorities, collaborate across teams, and operate effectively in a fast-paced, changing environment.
  • Strong proficiency in SQL (BigQuery preferred) and BI tools such as MicroStrategy, Tableau, or Power BI.
  • Exceptional verbal and written communication skills, including executive presentations.
  • Familiarity with Agile methodologies and experience writing epics, user stories, and acceptance criteria.
  • Understanding of data modeling concepts, ETL/ELT pipelines, data quality, and semantic layers is a plus.
  • Experience with data governance, KPI definition, product success metrics, or self-service analytics is a strong advantage.
  • Experience in retail, supply chain, or eCommerce is helpful but not required.

This is not to be considered a complete list of job duties, as they may be amended or added to as needed.
Projected Salary Range: $91000-$102,250
Family Dollar is an equal opportunity employer and committed to recruiting, hiring, training, and promoting qualified people of all backgrounds, and makes all employment decisions without regard to any protected status. We are committed to complying with the Americans with Disabilities Act (ADA) and providing reasonable accommodations to qualified individuals with disabilities.
Full time
510 Volvo Parkway,Chesapeake,Virginia 23320
Supply Chain Support
Family Dollar

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About Dollar Tree

Sourced by ZipRecruiter

With Dollar Tree and Family Dollar, we put value front and center for our customers. We do this by providing our customers with quality merchandise, amazing values, convenience, and a fun shopping experience. Whether you’re looking for the thrill of the hunt at Dollar Tree or shopping for your favorite brands at Family Dollar, you’re sure to find savings on a great selection of merchandise in our stores.

Industry

Retail

Company size

10,000+ Employees

Headquarters location

Chesapeake, VA, US

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