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Data Analytics Jobs in Waynesboro, VA (NOW HIRING)

STI

Data Analyst

Charlottesville, VA · On-site

... data analytics solutions. Required Skills Expertise in designing, developing, and deploying SSRS reports. Proficiency with SQL Server Strong knowledge of SQL for querying relational databases ...

NALLEY CONSULTING

Data Engineer - Sr

Charlottesville, VA · On-site

$107K - $128K/yr

Responsibilities : • Conducting data analytics, data engineering, data mining, exploratory analysis, predicative analysis, and statistical analysis, and uses scientific techniques to correlate data ...

Nalley Consulting

Data Engineer - Sr

Charlottesville, VA · On-site

$109K - $131K/yr

You'll use your expertise in analytical exploration and data examination while you oversee the assessment, design, building, and maintenance of scalable platforms for your clients. Duties This role ...

Nalley Consulting

Data Engineer - Sr

Charlottesville, VA · On-site

$109K - $131K/yr

You'll use your expertise in analytical exploration and data examination while you oversee the assessment, design, building, and maintenance of scalable platforms for your clients. Duties This role ...

Fisher Auto Parts

Merchandise Data Analyst

Staunton, VA · On-site

$50K - $65K/yr

The Merchandise Data Analyst provides a statistical and financial foundation for merchandising decisions and consults other departments on merchandising practices and tactics. They provide and manage ...

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All JobsData Analytics JobsData Analytics Jobs in Waynesboro, VA

Data Analytics information

See Waynesboro, VA salary details

$23

$52

$90

How much do data analytics jobs pay per hour?

As of Sep 1, 2026, the average hourly pay for data analytics in Waynesboro, VA is $52.67, according to ZipRecruiter salary data. Most workers in this role earn between $42.31 and $59.66 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 popular job titles related to Data Analytics jobs in Waynesboro, VA?

For Data Analytics jobs in Waynesboro, VA, the most frequently searched job titles are:

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

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

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

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

Data Analytics jobs near you
Infographic showing various Data Analytics job openings in Waynesboro, VA as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 17% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $109,549 per year, or $52.7 per hour.

Data Analyst

Education Strategy Consulting

Charlottesville, VA • Remote

Full-time

Re-posted 7 days ago

Job description

Education Strategy Consulting’s mission is to bring high-quality data analytics and visualizations to the field of education. To meet the demands of our growing business, we are looking for additional data analysts.


The successful candidate does not need any specific data experience or training. Anyone with a background in computing, engineering, math education, or sciences is encouraged to apply!


ESC seeks team members that are inquisitive, enjoy solving problems, and want to work collaboratively with a small group of continuous learners. In addition, we are looking for people who have:

• A willingness to ask questions

• Strong verbal and written communication skills

• Unwavering attention to detail

• Self-motivation and ability to work independently

• An eagerness to learn about the US educational system

• Familiarity with databases/SQL


Data analysts will work on multiple projects at a time, as part of a team effort. The tasks for each project will vary, but generally, this role is responsible for:

• Exploring the internal logic of often complex data sets with subtle interconnections in order to articulate their full meaning.

• Identifying anomalies within a data set, researching underlying causes, and designing or recommending solutions to the team.

• Assuming responsibility for the entire lifecycle of a data project, including planning, data ingestion, data restoration, quality assurance, and preparation for visualization.


*Mathematics or Physics backgrounds preferred.


This is a full-time, remote position open to US candidates living in the Eastern Time Zone.


Education Strategy Consulting is an Equal Opportunity Employer.