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Data Management Trainee Jobs in Springfield, VA (NOW HIRING)

Research Nurse

Rockville, MD · On-site

$98K - $163K/yr

Perform clinical data management, analysis, interpretation, and reporting to support research ... Train and mentor research staff, clinicians, and trainees on protocol implementation, regulatory ...

Perform clinical data management, analysis, interpretation, and reporting to support research ... Train and mentor research staff, clinicians, and trainees on protocol implementation, regulatory ...

Laboratory Technician

Rockville, MD

$19.25 - $25.75/hr

Familiarity with patient sample tracking and research data management. * Experience training laboratory personnel or research trainees. * Experience working in an NIH, academic, or biomedical ...

Laboratory Technician

Rockville, MD

$19.25 - $25.75/hr

Familiarity with patient sample tracking and research data management. * Experience training laboratory personnel or research trainees. * Experience working in an NIH, academic, or biomedical ...

Laboratory Technician

Rockville, MD · On-site

$19.25 - $25.75/hr

Familiarity with patient sample tracking and research data management. * Experience training laboratory personnel or research trainees. * Experience working in an NIH, academic, or biomedical ...

... and trainee management mission. Work includes migration to the VA Enterprise Cloud (VAEC) using Microsoft Azure, SSRS-to-Power BI and WebForms-to-ASP.NET Core modernization, enterprise data ...

Data Center Supervisor

Sterling, VA · On-site

$168K/yr

People management responsibilities include hiring and training, planning and assigning daily work ... Assesses progress of trainees and adds additional duties as appropriate. * Keeps informed of ...

Showing results 21-40

Data Management Trainee information

See Springfield, VA salary details

$15

$34

$58

How much do data management trainee jobs pay per hour?

As of Jul 25, 2026, the average hourly pay for data management trainee in Springfield, VA is $34.55, according to ZipRecruiter salary data. Most workers in this role earn between $25.62 and $40.91 per hour, depending on experience, location, and employer.

What is the difference between Data Management Trainee vs Data Analyst?

AspectData Management TraineeData Analyst
Required CredentialsBachelor's degree in IT, Computer Science, or related fieldsBachelor's or higher in Statistics, Mathematics, or related fields
Work EnvironmentTraining programs, data entry, data cleaning, supervised tasksData interpretation, reporting, analysis using tools like Excel, SQL, or Python
Employer & Industry UsageEntry-level in IT, data management, or business intelligence teamsBusiness, finance, marketing, and tech industries

The main difference is that a Data Management Trainee focuses on learning data handling, cleaning, and management tasks under supervision, while a Data Analyst performs data analysis, interpretation, and reporting to support decision-making. Trainees are in the learning phase, whereas analysts are more experienced in deriving insights from data.

Is management trainee an entry-level job?

A management trainee position, including roles like Data Management Trainee, is typically considered an entry-level job designed for recent graduates or individuals with limited professional experience. It often involves on-the-job training, skill development, and exposure to various business functions to prepare for future managerial roles.

What are the key skills and qualifications needed to thrive as a Data Management Trainee, and why are they important?

To excel as a Data Management Trainee, you generally need a background in statistics, computer science, or a related field, along with foundational knowledge of data analysis and management principles. Familiarity with database systems like SQL, data visualization tools such as Tableau or Power BI, and proficiency in Excel are typically expected, while certifications in data management can be beneficial. Strong attention to detail, problem-solving skills, and effective communication help trainees interpret data accurately and collaborate with teams. These competencies are crucial for ensuring data integrity, supporting decision-making, and facilitating smooth data-driven processes within an organization.

What are some common challenges faced by Data Management Trainees, and how can they overcome them?

Data Management Trainees often face challenges such as learning to work with complex databases, understanding data quality standards, and adapting to new data management tools. To overcome these, trainees should actively seek feedback from mentors, participate in available training sessions, and collaborate closely with experienced data analysts and IT staff. Staying organized and documenting processes can also help ease the learning curve and ensure data integrity throughout projects.

What are Data Management Trainees?

Data Management Trainees are entry-level professionals who learn how to organize, maintain, and secure data within an organization. They typically work under the supervision of experienced data managers and are trained in data entry, database management, data quality assurance, and compliance with data protection regulations. Their role is to acquire foundational skills in handling data systems, ensuring data accuracy, and supporting overall data management processes. This position often serves as a pathway to more advanced roles in data administration or analysis.

How to start a career in data management?

To start a career as a Data Management Trainee, gain foundational knowledge in data concepts, database systems, and data quality. Develop skills in SQL, data analysis tools, and data governance, and consider pursuing relevant certifications such as CDMP or DAMA-DMBOK. Entry-level roles often require a bachelor's degree in information technology, computer science, or related fields, along with strong attention to detail and problem-solving abilities.

What is a data trainee?

A data management trainee is an entry-level role focused on learning and supporting data-related tasks such as data entry, cleaning, and analysis. Trainees typically develop skills in database tools, Excel, and data management processes while working under supervision to gain practical experience in handling organizational data.

Can I be a data analyst with no experience?

Data Management Trainees often start with little or no experience, as training programs are designed to teach foundational skills such as data cleaning, analysis, and tools like Excel or SQL. Entry-level roles typically require a basic understanding of data concepts, and gaining relevant certifications or completing coursework can improve prospects for becoming a data analyst later.
What job categories do people searching Data Management Trainee jobs in Springfield, VA look for? The top searched job categories for Data Management Trainee jobs in Springfield, VA are:

$57K - $66K/yr

Full-time

Posted 9 days ago


Job description

Management Consultant
NTT DATA Europe & Latam, Branch in USA, Inc. seeks Management Consultants in Arlington, Virginia.
Responsibilities:
  • Leading Projects: Spearheading projects related to digital and operational strategy across diverse industries, with a focus on process improvement and optimization, tool analysis and evaluation, implementations, project management, and other critical areas.
  • Business Consulting: Executing business consulting projects to advise our clients on various aspects of business transformation across different industrial sectors.
  • Technology Collaboration: Collaborating closely with our technology solutions teams to creatively harness technology to support processes as part of the overall solution design.
  • Executive Client Relations: Maintaining robust executive relationships with our clients, serving as a key point of contact to ensure their ongoing satisfaction.
  • Developing Commercial Proposals: Taking responsibility for developing compelling and persuasive commercial proposals to present to prospective clients.
  • Solution Innovation: Cultivating innovation in creating solutions to address the specific challenges of our clients in various strategic areas.
  • People Development: Contributing to the professional development of your team by offering guidance and support for the growth and success of less experienced consultants.
  • Functional Technical Expertise: Serving as a functional technical expert, sharing your expertise and knowledge with the team.
  • Commitment to Quality: Actively participating in projects from initiation to completion to ensure successful and high-quality delivery.
  • Client Advisory: Providing expert guidance to clients to effectively address their needs and inquiries.

The role will supervise 20 subordinates in positions of Associate Consultant, Senior Consultant, Junior Consultant, Business Analyst, Consultant Trainee, Project Analyst, Project Manager, Project Coordinator, Operations Analyst, Implementation Specialist, Data Analyst, Data Scientist, Data Steward, Research Associate, Change Management Assistant, Client Support Specialist, Knowledge Management Assistant, Business Subject Matter Experts, Sustainability Experts, Climate Change & Environment Experts, Sustainable Finance Experts.
Requirements:
  • Bachelor's degree in Industrial Engineering or a related field and 4 years of experience in a related occupation.
  • Requires 4 years of experience in the following:
    • Business Acumen - Understanding business and market strategies for organizational benefit, Knowledge of company goals and tasks, Participation in initiatives, Understanding client needs and key stakeholders, Developing opportunities, Knowledge of competitors, strategies, trends, and how business works.
    • Results Orientation - Seeking better ways of working and using personal systems to measure results, Improving results with specific changes, measuring effectiveness, optimizing resources, Setting goals for self/team, analyzing cost-benefit, promoting environment for achieving goals. Assuming business risks, committing resources, influencing strategic objectives, analyzing impact on revenue/profitability.
    • Quality Orientation - Ensuring work meets requirements, correcting errors, focusing on detail, seeking excellence, Avoiding errors through thoroughness, applying methodology. Ensuring precision through controls, checking work, valuing reliability. Ensuring precision of work, establishing error-detection mechanisms. Creating quality standards, improving tools/procedures for excellence across organization.
    • People Development - Empowering people/teams, give responsibility, foster creativity, and support development, Stimulating others, explaining tasks, listening, helping, motivating, Valuing capacities of others, supporting, identifying motivations/skills, promoting responsibility, Identifying motivators, holding meetings, giving continuous feedback, fostering development, Taking risks to give growth opportunities, defining strategies for talent improvement, sharing info/advice.
    • Analytical Thinking - Analyzing relationships, causes, and consequences in situations, Identifying main parts of tasks/problems, Establishing simple causal relationships between elements, Breaking down complex problems, identifying hidden relations, considering all information, Creating systemic understanding and integrating complex factors.
    • Conceptual Thinking - Identifying patterns/relationships and use creative/inductive reasoning, Using basic criteria and experience to identify relevant aspects, Analyzing new situations, identifying patterns with theoretical/practical knowledge, Simplifying complex ideas and making them clear and understandable, Integrating abstract patterns into practical strategies.
    • Efficient Team Creation - Forming effective teams, instill team spirit and morale; Encouraging team to share strengths/weaknesses, fostering communication, Assigning tasks based on strengths, encouraging shared responsibility, Creating strategies to prevent dysfunctional behaviors, securing resources, Building sustainable structures for long-term team efficiency.
    • Strategic Vision - Adapting/applying business knowledge to long-term evolution, making decisions under uncertainty, Understanding organizational goals and strategies, prioritizing accordingly, Developing long-term objectives, aligning daily activities, Anticipating market trends, defining positioning strategies, having global vision, Guiding organization through uncertain scenarios with leadership vision.
    • Negotiation - Conducting negotiations in difficult situations, gain concessions, and maintain trust, Maintaining communication, setting limits, ensuring understanding, Setting objectives, presenting positions, avoiding rigidity, seeking mutual benefit, Reaching fair deals, detecting deception, Achieving advantageous agreements, Acting as a trusted negotiator in high-stakes contexts.
    • Critical Thinking - Reasoning logically, question beliefs, and challenge status quo, Questioning current methods in context, Analyzing/evaluating information, Identifying alternative strategies logically, Promoting critical thinking in team.
    • 25% domestic travel to client sites required.
    • 40 hours per week.

Applicants who are interested in this position may apply https://www.jobpostingtoday.com/ Ref #24009 for consideration.