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Entry Level Data Analyst Government Jobs (NOW HIRING)

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Entry-Level Data Analyst Full-Time (W2) Candidate must open to relocate. We are looking for a detail-oriented and analytical Entry-Level Data Analyst to join our team. The ideal candidate will ...

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Entry-Level Data Analyst -- Start Your Career in Data With Practical Skills Data analyst roles are attractive because they sit at the intersection of business, technology, and decision-making. But ...

Duties in the job include transferring data using Microsoft excel and sorting it with intermediate functions. * Candidates will require a degree of comfortability when it comes to math due to nature ...

Required Skills A high level of mathematical ability Programming languages, such as SQL, Oracle and/or Python The ability to analyze, model and interpret data Problem-solving skills Capable of Deep ...

Job Requirements -  Work on gathering requirement and document user stories, use cases, process flow diagrams, cross-functional diagrams, value stream maps as required by the business teams  ...

Job#: 3041091 Data Analyst I - Asset Data Management Position Overview We are seeking an entry-level Data Analyst to support enterprise asset data management initiatives. This role will focus on ...

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How much do entry level data analyst government jobs pay per hour?

As of Jul 22, 2026, the average hourly pay for entry level data analyst government in the United States is $32.93, according to ZipRecruiter salary data. Most workers in this role earn between $21.15 and $36.78 per hour, depending on experience, location, and employer.

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

To thrive as an Entry Level Data Analyst in government, you need a solid grounding in statistics, data analysis, and a relevant degree such as in mathematics, economics, or computer science. Familiarity with data visualization tools (like Tableau or Power BI), spreadsheet software, and programming languages such as SQL or Python is typically expected. Attention to detail, critical thinking, and strong written and verbal communication skills help you interpret data and present findings to non-technical stakeholders. These abilities are vital for ensuring accurate, actionable insights that inform public policy and improve government operations.

Is 40 too late for data science?

For an entry-level data analyst government role, starting a career at age 40 is not too late. Many employers value diverse experience and skills such as proficiency in Excel, SQL, and data visualization tools, which can be developed at any age. Continuous learning and relevant certifications can help transition into data-related roles regardless of age.

What are some common challenges faced by entry-level data analysts working in a government setting?

Entry-level data analysts in government often encounter challenges such as navigating complex bureaucratic processes, working with legacy data systems, and ensuring data privacy and compliance with public sector regulations. Additionally, they may need to communicate technical findings to non-technical stakeholders and adapt to evolving policy priorities. However, these challenges provide valuable experience in problem-solving, cross-functional collaboration, and understanding the impact of data-driven decisions on public services.

Does the FBI hire data analysts?

Yes, the FBI hires data analysts as part of its intelligence and operational teams. These roles typically require strong analytical skills, proficiency in data analysis tools, and security clearances, with candidates often holding relevant degrees and experience in data management or cybersecurity.

What does an Entry Level Data Analyst do in government?

An Entry Level Data Analyst in government is responsible for collecting, organizing, and analyzing data to support decision-making and improve public services. They often work with large datasets, use statistical tools, and create reports or visualizations to communicate findings to colleagues and stakeholders. Typical tasks may include cleaning data, identifying trends, and helping departments use data to increase efficiency or transparency. This role is a great starting point for those interested in public sector analytics and policy development.

How to become a data analyst for the government?

To become a government data analyst, candidates typically need a bachelor's degree in fields like statistics, computer science, or related areas. Developing skills in data analysis tools such as Excel, SQL, and programming languages like Python or R, along with understanding government data systems and obtaining relevant security clearances, can improve job prospects.

Can a data analyst be entry-level?

Yes, entry-level data analyst positions are common and typically require basic skills in data analysis tools like Excel, SQL, or Python. These roles often serve as starting points for individuals with limited professional experience and may include on-the-job training or certifications to develop necessary skills.
More about Entry Level Data Analyst Government jobs
What cities are hiring for Entry Level Data Analyst Government jobs? Cities with the most Entry Level Data Analyst Government job openings:
What are the most commonly searched types of Data Analyst Government jobs? The most popular types of Data Analyst Government jobs are:
What states have the most Entry Level Data Analyst Government jobs? States with the most job openings for Entry Level Data Analyst Government jobs include:
Infographic showing various Entry Level Data Analyst Government job openings in the United States as of July 2026, with employment types broken down into 61% Full Time, 5% Part Time, 5% Temporary, and 29% Contract. Highlights an 95% In-person, and 5% Hybrid job distribution, with an average salary of $68,487 per year, or $32.9 per hour.

Junior Data Analyst

Tech Consulting

California City, CA • On-site

$30 - $40/hr

Full-time

Medical, Dental, Vision, PTO

Posted 20 hours ago

Posted today

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Job description

Entry-Level Data Analyst

Full-Time (W2)

Candidate must open to relocate.


We are looking for a detail-oriented and analytical Entry-Level Data Analyst to join our team. The ideal candidate will collect, clean, analyze, and interpret data to help drive business decisions. This role is ideal for recent graduates or individuals beginning their careers in data analytics who are eager to learn and grow in a collaborative environment.


Key Responsibilities

  • Collect, clean, and validate data from multiple sources.
  • Analyze datasets to identify trends, patterns, and insights.
  • Create dashboards, reports, and visualizations using tools such as Excel, Power BI, or Tableau.
  • Prepare regular and ad hoc reports for stakeholders.
  • Write and optimize SQL queries to retrieve and manipulate data.
  • Assist in maintaining databases and ensuring data accuracy.
  • Collaborate with business teams to understand reporting requirements.
  • Support data-driven decision-making by presenting findings clearly.
  • Document data processes and maintain data quality standards.


Required Qualifications

  • Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Economics, Business Analytics, or a related field.
  • Basic knowledge of SQL.
  • Proficiency in Microsoft Excel (Pivot Tables, VLOOKUP/XLOOKUP, formulas).
  • Familiarity with Power BI or Tableau is preferred.
  • Basic understanding of statistics and data analysis concepts.
  • Knowledge of Python (Pandas, NumPy, Matplotlib) is a plus.
  • Strong analytical and problem-solving skills.
  • Excellent communication and presentation skills.
  • Attention to detail and willingness to learn.


Preferred Skills

  • Experience with data visualization tools.
  • Understanding of relational databases.
  • Basic knowledge of ETL processes.
  • Ability to work with large datasets.
  • Time management and organizational skills.


What You'll Gain

Hands-on experience working with real business data.

Mentorship from experienced data professionals (10 weeks paid training + accomodation)

Opportunities to learn advanced analytics and business intelligence tools.

Career growth into Data Analyst, Business Analyst, or Data Scientist roles.


Experience

1-4 years of experience in data analytics, reporting, or a related field.

Fresh graduates with relevant projects or internships are encouraged to apply.


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