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Entry Level Data Management Jobs in Virginia (NOW HIRING)

Data Analyst

Richmond, VA · On-site

$62K/yr

This entry-level role is ideal for a recent graduate with strong technical skills who can ... management. • Develop reports and deliverables for management. • Model data using MS Excel ...

This entry-level role is ideal for a recent graduate with strong technical skills who can ... Develop reports and deliverables for management. Model data using MS Excel, Power BI, and/or other ...

This entry-level role is ideal for a recent graduate with strong technical skills who can ... Develop reports and deliverables for management. Model data using MS Excel, Power BI, and/or other ...

This entry-level role is ideal for a recent graduate with strong technical skills who can ... management. • Develop reports and deliverables for management. • Model data using MS Excel ...

Entry-Level Analyst U.S. citizenship required. Are you a critical thinker with acumen for problem ... Candidates must be proficient in quantitative analysis, project management concepts, and data ...

Managed by a team of executive leaders experienced in the field of information technology and ... Perform data analysis to support internal and external project needs. Design basic programs for ...

Manage payroll tax accounting and unemployment tax rate maintenance. * Open and close tax accounts ... Strong data entry skills and accuracy * Customer service experience with an attention to detail and ...

Showing results 21-40

Entry Level Data Management information

See Virginia salary details

$11

$20

$31

How much do entry level data management jobs pay per hour?

As of Jul 25, 2026, the average hourly pay for entry level data management in Virginia is $20.07, according to ZipRecruiter salary data. Most workers in this role earn between $16.20 and $21.68 per hour, depending on experience, location, and employer.

Is 40 too late for data science?

Entry level data management roles often value skills and relevant training over age, and many professionals transition into data science later in their careers. Gaining knowledge of tools like SQL, Excel, and basic programming can help, regardless of age, and continuous learning is common in the field.

How to start a career in data management?

To start a career in data management, gain foundational knowledge in database concepts, data structures, and SQL through online courses or certifications. Developing skills in data cleaning, organization, and tools like Excel or data management software can improve employability, and entry-level roles often require a bachelor's degree in information systems, computer science, or related fields.

Are there entry-level jobs at data centers?

Entry-level data management roles at data centers often include positions such as data technician or assistant, which may require basic knowledge of data systems and familiarity with data management tools. These roles typically offer on-the-job training and may require certifications like CompTIA Data+ or basic IT skills. Opportunities are available for individuals seeking to start a career in data infrastructure and management environments.

What are entry level data management jobs?

Entry level data management jobs involve organizing, maintaining, and ensuring the accuracy of data within a company or organization. These roles typically include tasks such as data entry, data cleaning, updating databases, and assisting with data analysis projects under the supervision of more experienced data professionals. Entry level positions are ideal for those new to data management who want to build foundational skills in handling and processing data, often requiring attention to detail and proficiency with spreadsheet or database software.

Can I be a data analyst with no experience?

Entry level data management roles often do not require prior experience, but familiarity with tools like Excel, SQL, or data visualization software can be beneficial. Gaining relevant skills through online courses or certifications can improve your chances of starting as a data analyst without experience.

What are some common challenges faced by entry level data management professionals, and how can they be overcome?

Entry level data management professionals often encounter challenges such as ensuring data accuracy, learning new data management software, and understanding organizational data standards. These challenges can be overcome by taking advantage of training resources, seeking mentorship from experienced team members, and maintaining clear documentation. Proactively communicating with colleagues and asking questions can also help new hires quickly adapt to the team's workflows and best practices.

What are the key skills and qualifications needed to thrive as an Entry Level Data Management professional, and why are they important?

To thrive as an Entry Level Data Management professional, you need strong attention to detail, basic data analysis skills, and a relevant degree in fields like information systems, statistics, or business. Familiarity with tools such as Microsoft Excel, SQL databases, and data visualization platforms is commonly required. Excellent organizational skills, effective communication, and a proactive approach to problem-solving help you stand out in this role. These skills and qualities are essential for maintaining data accuracy, supporting business decisions, and ensuring efficient data processes.

What is the difference between Entry Level Data Management vs Data Analyst?

AspectEntry Level Data ManagementData Analyst
Required CredentialsAssociate's degree or relevant certificationsBachelor's degree in data-related fields
Work EnvironmentData entry, database maintenance, data quality controlData interpretation, reporting, visualization
Employer & Industry UsageBusinesses managing large datasets, IT departmentsMarketing, finance, healthcare, consulting firms

Entry Level Data Management focuses on organizing, maintaining, and ensuring data quality within organizations. Data Analysts interpret data to generate insights and support decision-making. While both roles require familiarity with databases and data tools, Data Analysts typically perform more analytical and reporting tasks, whereas Data Management roles emphasize data integrity and storage.

What are the most commonly searched types of Data Management jobs in Virginia? The most popular types of Data Management jobs in Virginia are:
What are popular job titles related to Entry Level Data Management jobs in Virginia? For Entry Level Data Management jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Entry Level Data Management jobs in Virginia look for? The top searched job categories for Entry Level Data Management jobs in Virginia are:
What cities in Virginia are hiring for Entry Level Data Management jobs? Cities in Virginia with the most Entry Level Data Management job openings:
Infographic showing various Entry Level Data Management job openings in Virginia as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 1% Temporary, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $41,737 per year, or $20.1 per hour.
Data Analyst

$62K/yr

Full-time

PTO

Posted 14 days ago


Job description

RT Specialty, a division of Ryan Specialty, is a leading wholesale distributor of specialty insurance products and services. Our experienced brokers are specialized in property, casualty, professional lines, transportation and workers' compensation, providing creative solutions to retail brokerage firms. We define ourselves through our superior execution on behalf of our clients, which has established us as a leader in the industry.
Position Summary
The Data Analyst supports the Personal Lines team by analyzing data, creating reports, and developing dashboards using Microsoft Excel and Power BI to deliver digestible meaningful business insights. This entry-level role is ideal for a recent graduate with strong technical skills who can demonstrate experience with Excel and Power BI through academic projects or internships. The position offers the opportunity to learn the insurance industry, collaborate with carrier partners, and grow into advanced analytics or underwriting career paths over time.
What will your job entail?
Job Responsibilities:
• Provide advanced analytical support for business operations in all or some of the following areas: claims, client data, policy data, and external reporting.
• Extract, load, model, and reconcile large amounts of data across multiple system platforms and sources.
• Review data to determine operational impacts and needed actions; elevate issues, trends, areas for improvement and opportunities to management.
• Develop reports and deliverables for management.
• Model data using MS Excel, Power BI, and/or other data warehouse analytical tools.
• Ensure compliance with federal and state deliverable reporting requirements by performing data quality audits and analysis.
• Assist with training and mentoring other Data Analysts.
• Supports Data systems as functional administrator evaluating new release functionality to include testing and implementation of new functionality.
Required Experience:
• Bachelor's degree in Data Analytics, Statistics, Business, Finance, Risk Management & Insurance, or a related field.
• Proficiency in Excel and Power BI
• Experience managing projects or heavy involvement in project implementation.
• Experience in Data Visualization and building dashboards
Preferred Experience:
• Experience with Coding language in Python
• Experience in underwriting analysis.
• Statistical analysis
• Data warehouse
Ryan Specialty is an Equal Opportunity Employer. We are committed to building and sustaining a diverse workforce throughout the organization. Our vision is an inclusive and equitable workplace where all employees are valued for and evaluated on their performance and contributions. Differences in race, creed, color, religious beliefs, physical or mental capabilities, gender identity or expression, sexual orientation, and many other characteristics bring together varied perspectives and add value to the service we provide our clients, trading partners, and communities. This policy extends to all aspects of our employment practices, including but not limited to, recruiting, hiring, discipline, firing, promoting, transferring, compensation, benefits, training, leaves of absence, and other terms, conditions, and benefits of employment.
How We Support Our Teammates
Ryan Specialty seeks to offer our employees a comprehensive and best-in-class benefits package that helps them - and their family members - achieve their physical, financial, and emotional well-being goals. In addition to paid time off for company holidays, vacation, sick and personal days, Ryan offers paid parental leave, mental health services and more.
The target salary range for this position is $62,000.00 - $62,000.00 annually.
The wage range for this role considers many factors, such as training, transferable skills, work experience, licensure and certification, business needs, and market demands. The pay range is subject to change and may be modified in the future. Full-time roles are eligible for bonuses and benefits. For additional information on Ryan Specialty Total Rewards, visit our website https://benefits.ryansg.com/.
We provide individuals with disabilities reasonable accommodations to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment in accordance with applicable law. Please contact us to request an accommodation at HR@Ryansg.com
The above is intended to describe this job's general requirements. It is not to be construed as an exhaustive statement of duties, responsibilities, or physical requirements. Nothing in this job description restricts management's right to assign or reassign duties and responsibilities to this job at any time. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.