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Data Analytics Jobs in Suffolk, VA (NOW HIRING)

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 ...

Data Analyst

Chesapeake, VA · On-site

$90K/yr

... analytics, cloud management, and IT modernization program in Norfolk, VA. This role advances Navy digital transformation by enabling highquality data insights, modern architectures, and enhanced ...

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development priorities for Wdesk after gathering market data * Analyze use of Wdesk by current customers in the EU ...

New

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development priorities for Wdesk after gathering market data * Analyze use of Wdesk by current customers in the EU ...

New

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development priorities for Wdesk after gathering market data * Analyze use of Wdesk by current customers in the EU ...

New

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development priorities for Wdesk after gathering market data * Analyze use of Wdesk by current customers in the EU ...

New

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development priorities for Wdesk after gathering market data * Analyze use of Wdesk by current customers in the EU ...

New

... data analytics, cloud management, and IT modernization program in the Norfolk, VA area. This role directly contributes to advancing Naval digital transformation by enabling datadriven decisions ...

... analytics efforts supporting a US Navy data analytics, cloud management, and IT modernization program. This position plays a critical role in guiding analytic strategy, developing highimpact data ...

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Data Analytics information

See Suffolk, VA salary details

$23

$52

$89

How much do data analytics jobs pay per hour?

As of Aug 30, 2026, the average hourly pay for data analytics in Suffolk, VA is $52.08, according to ZipRecruiter salary data. Most workers in this role earn between $41.83 and $58.99 per hour, depending on experience, location, and employer.

What is data analytics?

Data analytics is the process of examining raw data to uncover trends, patterns, and insights that can inform decision-making. Professionals in this field use statistical techniques, programming, and data visualization tools to interpret complex data sets. Data analytics is applied in various industries, including business, healthcare, finance, and technology, to optimize operations, improve customer experiences, and drive strategic initiatives. The field often requires knowledge of tools like Excel, SQL, Python, and specialized analytics platforms.

How does a data analytics professional typically collaborate with other departments within an organization?

Data Analytics professionals frequently work alongside teams such as marketing, finance, operations, and product development to identify trends, solve business problems, and inform strategic decisions. Collaboration often involves gathering data requirements, interpreting findings, and presenting actionable insights in a clear and accessible manner. Effective communication and the ability to translate technical data into business terms are essential for ensuring recommendations are implemented and drive measurable impact. Regular cross-functional meetings and project-based teamwork are common, offering opportunities to learn from other disciplines and broaden one's organizational influence.

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

To thrive as a Data Analytics professional, you need strong quantitative analysis skills, proficiency in statistics, and a relevant degree such as in mathematics, computer science, or a related field. Experience with technical tools like SQL, Python or R, data visualization platforms (e.g., Tableau, Power BI), and sometimes certifications like Google Data Analytics or Microsoft Certified: Data Analyst Associate are highly valuable. Critical thinking, problem-solving, and effective communication are essential soft skills for interpreting data and presenting findings to stakeholders. These skills and qualities are crucial for transforming raw data into actionable insights that drive business decision-making.

What is the difference between Data Analytics vs Data Analyst?

AspectData AnalyticsData Analyst
Role FocusAnalyzing large datasets to identify trends and insightsInterpreting data, creating reports, and supporting decision-making
Skills & CertificationsStatistical skills, data visualization, tools like SQL, Python, RData visualization, Excel, SQL, basic statistical knowledge
Work EnvironmentOften in data teams, tech companies, or consulting firmsBusiness units, marketing, finance, or operations teams
Common UsageRefers to the field or disciplineRefers to the job role or position

While both roles involve working with data, Data Analytics typically refers to the broader field or discipline focused on analyzing data to extract insights. A Data Analyst is a specific job role within that field, responsible for interpreting data, creating reports, and supporting business decisions.

Is a data analyst still a good career?

Data analysts remain in high demand across industries due to the increasing reliance on data-driven decision making. Strong skills in tools like Excel, SQL, and visualization software, along with certifications, can enhance job prospects and career growth in this field.

What jobs can a data analyst do?

A data analyst can work in roles such as business analyst, data scientist, data engineer, or reporting specialist. They analyze data to help organizations make informed decisions, often using tools like Excel, SQL, and visualization software, and may require knowledge of statistical methods and programming languages like Python or R.

What kind of jobs can you get with data analytics?

Data analytics skills can lead to roles such as data analyst, business analyst, data scientist, and data engineer. These jobs involve analyzing data to support decision-making, often requiring proficiency in tools like Excel, SQL, and Python, and may require relevant certifications or a strong understanding of statistical methods.

What are the most commonly searched types of Data Analytics jobs in Suffolk, VA?

The most popular types of Data Analytics jobs in Suffolk, VA are:

What job categories do people searching Data Analytics jobs in Suffolk, VA look for?

The top searched job categories for Data Analytics jobs in Suffolk, VA are:

What cities near Suffolk, VA are hiring for Data Analytics jobs?

Cities near Suffolk, VA with the most Data Analytics job openings:

Infographic showing various Data Analytics job openings in Suffolk, VA as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $108,328 per year, or $52.1 per hour.

Business Analyst - Data Analytics & Reporting

Chesapeake, VA • On-site


Dollar Tree
Retail • 10K+ employees

4.5

Company rating: 4.5 out of 10

Based on 2,532 frontline employees who took The Breakroom Quiz

37th of 39 rated national retailers

Recommended by students

Respectful managers


$91K - $102K/yr

Full-time

Posted 23 days ago


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

Dollar Tree logo

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


What Dollar Tree employees say

Pay

Benefits

Hours and flexibility

Workplace

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