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Data Analytics Jobs in Chester, VA (NOW HIRING)

The ideal candidate combines financial acumen with strong data analytics skills to support strategic decision-making and cost optimization initiatives. Key Responsibilities: * Analyze and interpret ...

Senior Data Analyst-Tech Analytics

Richmond, VA ยท On-site

$101.10 - $126.90/hr

... data analytics, or currently has, or is in the process of obtaining a Master's Degree with an expectation that required degree will be obtained on or before the scheduled start date. * At least 1 ...

... analytics, or, a Master's Degree plus at least 3 years performing data analytics with an ... expectation that required degree will be obtained on or before the scheduled start date. * At least ...

... analytics, or, a Master's Degree plus at least 3 years performing data analytics with an ... expectation that required degree will be obtained on or before the scheduled start date. * At least ...

... analytics, or, a Master's Degree plus at least 3 years performing data analytics with an ... expectation that required degree will be obtained on or before the scheduled start date. * At least ...

Data Analyst

Richmond, VA ยท On-site

$62K - $85K/yr

Minimum of 3 years' experience of report and data analytics preferred * Bachelor's degree required ... Strong working knowledge of SQL preferred * Experience with the following: Python, Django web ...

Data Analyst 4

Richmond, VA ยท On-site

$40 - $42/hr

... analytics. * Deep understanding of medical vocabularies from both a clinical viewpoint and informatics perspective. * Extensive experience pulling data out of electronic health record systems.

Showing results 21-40

Data Analytics information

See Chester, VA salary details

$22

$50

$86

How much do data analytics jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for data analytics in Chester, VA is $50.38, according to ZipRecruiter salary data. Most workers in this role earn between $40.48 and $57.07 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 Chester, VA?

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

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

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

Infographic showing various Data Analytics job openings in Chester, VA as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 15% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $104,788 per year, or $50.4 per hour.

Full-time

Re-posted 3 days ago


Job description

Responsibilities:
- Collaborate with internal teams to understand data needs and objectives.
- Extract, clean, and transform data from diverse sources for analysis.
- Perform data analysis to identify trends, patterns, and anomalies.
- Examine data quality, applications, and functions to ensure accurate migration.
- Produce output and sustain operation of data migration processes.
- Research new data sources and analytical tools for improved migration strategies.
- Contribute to new product development and enhancements in data delivery and presentation.
- Interpret data, analyze results using statistical techniques, and provide ongoing reports.
- Identify, analyze, and interpret trends or patterns in complex data sets.
- Generate visualizations and reports for stakeholders.
- Develop and implement databases, data collection systems, data analytics, and other strategies that optimize statistical efficiency and quality.
- Acquire data from primary or secondary data sources and maintain databases/data systems.
- Collaborate with the LEAMS team to perform a proper audit of active files during the migration.
Qualifications:
- Proven experience as a Data Analyst or related role.
- Technical expertise regarding data models, database design, data mining, and segmentation techniques.
- Strong knowledge of and experience with reporting packages and databases (SQL, etc.).
- Proficient in programming languages (Python, R, etc.) is a plus.
- Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
- Adept at queries, report writing, and presenting findings.
- Strong knowledge in Microsoft Office with emphasis on Microsoft Excel.