2

Entry Level Data Analyst Jobs in Hanover, MD (NOW HIRING)

Entry Level Analyst

Washington, DC · On-site

$55K - $75K/yr

Responsibilities Data Analytics * Analyze monthly Integrated Program Management Reports, including IPMR/IPMDAR submissions and supporting cost and schedule data. * Examine program-performance ...

Data Protection, A/SA-Evergreen

Washington, DC · On-site

$84K - $100K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

As a Data Protection Senior Analyst, you'll support the delivery of data protection, data ... Prior internship, academic project, or entry-level experience in security or compliance is a plus.

Data Protection, A/SA-Evergreen

Baltimore, MD · On-site

$84K - $100K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

As a Data Protection Senior Analyst, you'll support the delivery of data protection, data ... Prior internship, academic project, or entry-level experience in security or compliance is a plus.

Entry Level Financial Analyst

Columbia, MD · On-site

$23/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Job Title: Entry Level Financial Analyst As an analyst, you will be responsible for processing the ... Strong skills in business analysis, finance, and data analysis. * Ability to research and interpret ...

Showing results 21-40

Entry Level Data Analyst information

See Hanover, MD salary details

$13

$32

$61

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

As of Aug 16, 2026, the average hourly pay for entry level data analyst in Hanover, MD is $32.76, according to ZipRecruiter salary data. Most workers in this role earn between $21.06 and $36.59 per hour, depending on experience, location, and employer.

What does an entry level data analyst do?

An Entry Level Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed decisions. They often work with spreadsheets, databases, and data visualization tools to identify trends and generate reports. Typical tasks include cleaning data, creating charts or dashboards, and supporting senior analysts or business teams with actionable insights. This role is ideal for individuals with strong analytical skills and a keen attention to detail, even if they have limited professional experience.

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

AspectEntry Level Data AnalystData Scientist
Required CredentialsBachelor's degree in data-related field; basic knowledge of SQL, Excel, and data visualization toolsBachelor's or master's degree in data science, statistics, or related field; stronger programming and statistical skills
Work EnvironmentEntry-level roles in business, finance, marketing, or healthcare sectors; focus on data reporting and visualizationMore advanced roles often in tech, research, or large organizations; focus on predictive modeling and complex analysis
Employer & Industry UsageCommon in various industries for routine data analysis tasksUsed in industries requiring advanced analytics, machine learning, and predictive insights

While Entry Level Data Analysts focus on basic data collection, cleaning, and reporting, Data Scientists handle complex modeling, machine learning, and predictive analytics. The roles differ mainly in skill level, complexity, and scope of work, but both require a strong foundation in data handling and analysis.

What are some common challenges entry level data analysts face when transitioning from academic projects to real-world business environments?

Entry level data analysts often find that real-world datasets are messier and less structured than those in academic settings, requiring more time spent on data cleaning and preparation. Additionally, business environments may prioritize actionable insights over purely statistical rigor, so learning to communicate findings to non-technical stakeholders is crucial. Collaborating within cross-functional teams and managing multiple deadlines can also be a new challenge, but these experiences help analysts develop strong problem-solving and communication skills that are valuable for career growth.

What are the key skills and qualifications needed to thrive as an entry level data analyst, and why are they important?

To thrive as an Entry Level Data Analyst, you need strong analytical thinking, basic statistical knowledge, and proficiency in data management, typically supported by a bachelor’s degree in a quantitative field. Familiarity with tools such as Microsoft Excel, SQL, and data visualization platforms like Tableau or Power BI is commonly required. Attention to detail, effective communication, and a willingness to learn help set candidates apart in this role. These skills are vital for accurately interpreting data, generating actionable insights, and clearly conveying findings to support business decisions.

What are the most commonly searched types of Data Analyst jobs in Hanover, MD?

The most popular types of Data Analyst jobs in Hanover, MD are:

What are popular job titles related to Entry Level Data Analyst jobs in Hanover, MD?

For Entry Level Data Analyst jobs in Hanover, MD, the most frequently searched job titles are:

What job categories do people searching Entry Level Data Analyst jobs in Hanover, MD look for?

The top searched job categories for Entry Level Data Analyst jobs in Hanover, MD are:

What cities near Hanover, MD are hiring for Entry Level Data Analyst jobs?

Cities near Hanover, MD with the most Entry Level Data Analyst job openings:

Infographic showing various Entry Level Data Analyst job openings in Hanover, MD as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $68,145 per year, or $32.8 per hour.

Entry Level Analyst

Tecolote Research

Washington, DC • On-site

$55K - $75K/yr

Full-time

Posted 26 days ago


Job description

Overview
We are seeking highly motivated individuals with a strong work ethic to support US Government major Acquisition programs and projects. The position requires no experience but an interest in data analytics and visualization, financial analysis, cost analysis and budget formulation. Successful candidates will have excellent communication, quantitative, research, and analytical skills.
Responsibilities
Data Analytics
  • Analyze monthly Integrated Program Management Reports, including IPMR/IPMDAR submissions and supporting cost and schedule data.
  • Examine program-performance information to identify unfavorable trends, emerging issues, and areas requiring management attention.
  • Apply forecasting and analytical methods to estimate future program performance.
  • Integrate information from program management, scheduling, finance, engineering, and risk-management sources.
  • Validate contractor or program-office data for completeness, accuracy, consistency, and compliance with reporting requirements.
  • Convert large or complicated datasets into well-structured analyses and actionable recommendations.
  • Support recurring program reviews by explaining performance trends and potential impacts.
  • Use analytical tools such as wInsight, Encore Analytics and Microsoft Office applications.

Cost Analysis, Financial Management and Program Management
  • Conduct cost analyses supporting Life Cycle Cost Estimates, Program Office budgets, contract proposals, and other requested cost products.
  • Develop independent government cost estimates and ad hoc estimates to support acquisition, budgeting, and program-management decisions.
  • Provide analytical support for program controls, financial reporting, budget development, and funds execution.
  • Monitor program cost performance and assess whether work is being completed within approved budgets and performance baselines.
  • Analyze monthly cost, schedule, and technical-performance data to identify trends, variances, risks, and emerging financial issues.
  • Integrate financial data with schedule, technical, risk, and program-performance information to provide a comprehensive view of program status.
  • Develop and assess forecasts for estimated costs at completion, remaining program requirements, funding needs, and potential budget shortfalls.
  • Support the preparation, review, and analysis of Program Office budgets, spend plans, execution reports, and funding requirements.
  • Evaluate contractor proposals, cost estimates, and supporting data for reasonableness, completeness, consistency, and compliance with program requirements.
  • Analyze the financial effects of schedule delays, technical issues, scope changes, risks, and opportunities.
  • Provide cost and financial analysis across individual programs, contracts, work breakdown structures, or broader portfolios.
  • Translate complex cost, budget, and program-performance information into clear findings, recommendations, and decision-ready reporting products.
  • Support baseline development, change control, risk and opportunity management, and corrective-action planning.
  • Use analytical tools such as ACEIT, Excel and other Microsoft Office applications

Skills Required
  • 24 semester hours of quantitative course work (mathematics, statistics, engineering, physics, chemistry, etc.)
  • Proficiency in Microsoft Office (Excel, Word, Access, and PowerPoint)
  • Ability to obtain a DoD Secret Clearance
  • Salary Range: $55,000 - $75,000 /Year depending on experience and qualifications

Education
Bachelor's degree required, preferably in math, engineering, business, or the sciences.