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Junior Data Administrator Jobs (NOW HIRING)

4P Consulting Inc.

DATA SCIENTIST

Forest Park, GA

Collaborate with IT and database administrators to integrate and access data from various sources ... Provide guidance and mentorship to junior data scientists and analysts, fostering their ...

IQUASAR LLC

Junior Systems Administrator

Washington, DC · On-site

$80K - $95K/yr

Paid time off MSM Technology is seeking to fill the Junior Systems Administrator position. We ... Update customer data and produce activity reports * Walk customers through problem solving process ...

iQuasar LLC

Junior Systems Administrator

Washington, DC · On-site

$80K - $95K/yr

Paid time off MSM Technology is seeking to fill the Junior Systems Administrator position. We ... Update customer data and produce activity reports * Walk customers through problem solving process ...

Saalex

Junior Systems Administrator

Patuxent River, MD · On-site

$60K - $75K/yr

Greenfield Engineering, a Saalex Company is seeking a Junior Systems Administrator in Patuxent ... network and data communications hardware and software. * May supervise computer user support ...

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Junior Data Administrator information

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$29.5K

$66.7K

$118.5K

How much do junior data administrator jobs pay per year?

As of Aug 24, 2026, the average yearly pay for junior data administrator in the United States is $66,690.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,000.00 and $75,000.00 per year, depending on experience, location, and employer.

What does a junior data administrator do?

A Junior Data Administrator is responsible for supporting the management, organization, and maintenance of a company's data systems. They assist in ensuring data accuracy, integrity, and security by performing routine data entry, updating records, and generating reports. Junior Data Administrators also help with data backups, troubleshooting database issues, and following data management policies. Their work supports the efficiency and reliability of the organization's information systems, often under the supervision of more senior data professionals.

What are the key skills and qualifications needed to thrive as a junior data administrator?

To thrive as a Junior Data Administrator, you need a solid understanding of database fundamentals, data entry accuracy, and basic knowledge of data management best practices, typically supported by a relevant degree or coursework. Familiarity with database management systems (such as SQL Server or MySQL), spreadsheet software, and sometimes data visualization tools is often expected. Attention to detail, problem-solving abilities, and effective communication are valuable soft skills for this position. These skills and qualities are important because they ensure data integrity, efficient operations, and smooth collaboration within data-driven teams.

What are some common challenges faced by junior data administrators, and how can they be addressed?

Junior Data Administrators often encounter challenges such as managing large volumes of data with strict accuracy requirements, adapting to new database technologies, and troubleshooting data inconsistencies. To address these, it's important to develop strong attention to detail, seek mentorship from experienced team members, and actively participate in training sessions to stay current with tools and best practices. Collaborating closely with IT and data analyst teams can also help junior administrators learn effective problem-solving strategies and build a solid foundation for career growth.

What is the difference between Junior Data Administrator vs Data Analyst?

AspectJunior Data AdministratorData Analyst
Required SkillsBasic data entry, database management, attention to detailData interpretation, statistical analysis, reporting
CertificationsRelevant certifications like Microsoft Office, database fundamentalsData analysis certifications like Microsoft Excel, SQL, or Tableau
Work EnvironmentData entry teams, database management departmentsBusiness intelligence, marketing, finance teams
Typical TasksMaintaining databases, data cleaning, inputting dataAnalyzing data trends, creating reports, data visualization

While both roles involve working with data, a Junior Data Administrator primarily focuses on managing and maintaining databases, whereas a Data Analyst interprets data to provide insights. The roles often overlap in skills like database knowledge and certifications, but their core responsibilities differ significantly.

More about Junior Data Administrator jobs

What cities are hiring for Junior Data Administrator jobs?

Cities with the most Junior Data Administrator job openings:

What states have the most Junior Data Administrator jobs?

States with the most job openings for Junior Data Administrator jobs include:

Junior Data Administrator jobs near you
Infographic showing various Junior Data Administrator job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $66,690 per year, or $32.1 per hour.

DATA SCIENTIST

4P Consulting Inc.

Forest Park, GA

Contractor

Re-posted yesterday

Job description

HI,

Hope you're doing well

This is pankaj from 4P Consulting Please see below job description

Please share your resume if you're interested and have 5-10 years of experience submission on W2 basis only NO C2C

  • A Data Scientist with 5 to 10 years of
    experience is responsible for leveraging
    data to uncover insights, create predictive
    models, and drive data-driven decision-
    making within an organization.
  • This role
    involves advanced analytics, machine
    learning, and strong problem-solving skills
    to extract actionable information from
    large datasets. Key Responsibilities: Data
    Analysis: Collect, clean, and analyze
    complex datasets to identify trends,
    patterns, and actionable insights.
  • Use
    statistical techniques to uncover
    meaningful information from data.
    Predictive Modeling: Develop and deploy
    machine learning models to predict future
    trends, behaviors, and outcomes. Apply
    regression analysis, clustering,
    classification, and other modeling
    techniques.
  • Data Visualization: Create
    compelling data visualizations to
    communicate findings effectively to both
    technical and non-technical stakeholders
    using tools like Tableau, Power BI, or
    Python libraries. Hypothesis Testing:
    Formulate and test hypotheses, providing
    statistical validation for business
    decisions and recommendations.
  • Feature
    Engineering: Engineer and select relevant
    features for machine learning models,
  • enhancing their predictive power.
    Algorithm Development: Build and fine-
    tune machine learning algorithms, such
    as decision trees, random forests, neural
    networks, and more, depending on the
    specific problem.
  • Data Integration:
    Collaborate with IT and database
    administrators to integrate and access
    data from various sources and data
    warehouses. Model Deployment: Deploy
    machine learning models in production
    environments to support real-time
    decision-making. A/B Testing: Design and
    analyze A/B tests to measure the impact
    of changes and improvements. Data
    Ethics:
  • Ensure ethical data practices,
    including privacy and compliance with
    data protection regulations. Cross-
    functional Collaboration: Collaborate with
    cross-functional teams, including
    engineers, business analysts, and domain
    experts, to understand business
    requirements and align data science
    initiatives with organizational goals.
    Mentorship:
  • Provide guidance and
    mentorship to junior data scientists and
    analysts, fostering their professional
    growth. Continuous Learning: Stay
    updated on the latest data science tools,
    techniques, and trends through ongoing
    professional development. Qualifications:
    Bachelors degree in a quantitative field
    (e.g., Computer Science, Statistics,
    Mathematics, Engineering); a Masters or
    Ph.D. is a plus.
  • 5 to 10 years of experience
    in data science, including machine
    learning and statistical analysis.
    Proficiency in data analysis tools and
    programming languages such as Python,
    R, or Julia. Strong knowledge of machine
    learning algorithms and their applications.
    Experience with data visualization toolslike Tableau, Power BI, or data
    visualization libraries in Python (e.g.,
    Matplotlib, Seaborn). Solid understanding
    of databases and data manipulation using
    SQL. Excellent problem-solving and
    critical thinking skills. Strong
    communication skills to convey complex
    findings and insights to both technical and
    non-technical stakeholders. Familiarity
    with big data technologies and distributed
    computing frameworks is a plus (e.g.,
    Hadoop, Spark). Knowledge of data
    ethics, privacy, and compliance
    considerations.
  • A Data Scientist with 5 to
    10 years of experience is a critical asset to
    an organization, capable of transforming
    data into actionable insights, building
    predictive models, and driving data-driven
    decision-making. This role requires a
    strong foundation in data science
    techniques, programming, and advanced
    analytics, as well as the ability to
    collaborate with various teams and
    mentor junior staff.

Thanks and Regards

Sr. Talent Acquisition Specialist

Pankaj Mishra

Pankaj.Mishra@4pconsultinginc.com

+1 205-756-4834