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Python Data Analyst Jobs in Maryland (NOW HIRING)

Ocean Bay LLC

Data Analyst (5615)

Indian Head, MD · On-site

Analyze, integrate, and test software/data systems; script using Python/R; support analytics objectives with data science techniques. * Apply statistical and operations research methods and tools ...

Amentum

Healthcare (HC) Data Analyst

Bethesda, MD · On-site

Uses data tools such as Python, conduct R analysis, SPSS, display results via Tableau * Interfaces with government stakeholders within HC, HRM), 18 IC Agencies CHCOs, other task order PMs and DEIA ...

Pae

Healthcare (HC) Data Analyst

Bethesda, MD

Uses data tools such as Python, conduct R analysis, SPSS, display results via Tableau * Interfaces with government stakeholders within HC, HRM), 18 IC Agencies CHCOs, other task order PMs and DEIA ...

CACI International, Inc.

Splunk Data Analyst

Laurel, MD · On-site

$103.80K - $218.10K/yr

Splunk Data Analyst Job Category: Information Technology Time Type: Full time Minimum Clearance ... Experience working with Python. What You Can Expect: A culture of integrity. At CACI, we place ...

AbsoluteCare

Data Analyst - 2803

Baltimore, MD · On-site +1

$80K - $85K/yr

* Data Analyst II - with 2-3 years of experience (not entry‑level or intern) * Strong Power BI and ... Experience with R, Python, machine learning, and artificial intelligence library a plus. * Ability ...

Apex Systems

IT Data Analyst

Hyattsville, MD

Pull, clean, and analyze data using SQL and Python. * Support forecasting, trend analysis, and financial reporting efforts. * Build dashboards and visualizations using Tableau with a willingness to ...

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How much do python data analyst jobs pay per year?

As of May 30, 2026, the average yearly pay for python data analyst in Maryland is $80,206.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,700.00 and $94,100.00 per year, depending on experience, location, and employer.

What Does a Python Data Analyst Do?

As a Python data analyst, you use the Python programming language to develop tools for data mining, analysis, and data visualization. You typically develop a script to meet the specific data needs of your client or employer. Then, you test your code and perform debugging duties before deploying it in a live environment. Some data analysts also have algorithm creation responsibilities. In this case, after creating and testing an algorithm, you use Python with your algorithm to interpret data. You also develop reports to show to your clients or employers, and you may code a web app or interface that clients can use to visualize data sets.

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

To thrive as a Python Data Analyst, you need strong analytical skills, a solid grasp of statistics, and proficiency in Python programming, often supported by a degree in data science, mathematics, or a related field. Familiarity with data analysis libraries like pandas and NumPy, visualization tools such as Matplotlib or Seaborn, and experience with data querying languages like SQL are typically required. Attention to detail, critical thinking, and effective communication help you derive insights and present findings clearly to stakeholders. These skills and qualities are vital for transforming raw data into actionable business intelligence and supporting data-driven decision-making.

How do Python Data Analysts typically collaborate with other departments within an organization?

Python Data Analysts often work closely with teams such as marketing, finance, and product development to provide data-driven insights that inform business decisions. They regularly participate in cross-functional meetings to understand departmental objectives, gather requirements for data analysis, and present their findings in an accessible manner. Effective communication and the ability to translate technical results into actionable recommendations are essential, as analysts often act as a bridge between technical data and non-technical stakeholders.

What is the difference between Python Data Analyst vs Data Scientist?

AspectPython Data AnalystData Scientist
Required SkillsPython, SQL, data visualization, statistical analysisPython, R, machine learning, statistical modeling
Work EnvironmentBusiness analytics, reporting, data cleaningAdvanced modeling, predictive analytics, research
Industry UsageFinance, marketing, healthcare, retailTech, finance, research, AI development

While both roles require Python and data analysis skills, Data Scientists typically engage in more complex modeling and machine learning, whereas Python Data Analysts focus on data cleaning, visualization, and reporting to support business decisions.

More about Python Data Analyst jobs
What are the most commonly searched types of Python Data Analyst jobs in Maryland? The most popular types of Python Data Analyst jobs in Maryland are:
What are popular job titles related to Python Data Analyst jobs in Maryland? For Python Data Analyst jobs in Maryland, the most frequently searched job titles are:
What job categories do people searching Python Data Analyst jobs in Maryland look for? The top searched job categories for Python Data Analyst jobs in Maryland are:
Python Data Analyst jobs near you
Infographic showing various Python Data Analyst job openings in Maryland as of May 2026, with employment types broken down into 5% As Needed, 71% Full Time, 11% Part Time, 5% Temporary, 5% Contract, and 3% Nights. Highlights an 58% Physical, 24% Hybrid, and 18% Remote job distribution, with an average salary of $80,206 per year, or $38.6 per hour.
Performance/Data Analyst III - 1920

Performance/Data Analyst III - 1920

Strategic Technology Institute Inc,

Bowie, MD • On-site

Full-time

Posted 9 days ago

Job description

Performance/Data Analyst III

Location: Washington, DC Metro Area
Clearance Required: Active Secret Clearance (Top Secret/SCI eligible preferred)
Employment Type: Full-Time
Company: Strategic Technology Institute (STi)

Overview

Strategic Technology Institute (STi) is seeking experienced Performance/Data Analyst III professionals to support the U.S. Department of Justice (DOJ), Justice Management Division (JMD), Office of the Chief Information Officer (OCIO) in support of the Homeland Security Task Force (HSTF).

This position supports high-priority interagency law enforcement and investigative operations through advanced analytics, data integration, statistical reporting, dashboard development, and Management Information System (MIS) support.

Candidates will work with complex investigative and operational datasets from multiple federal agencies including DOJ, FBI, DEA, HSI, ATF, IRS-CI, and USAOs.

Responsibilities
  • Develop and maintain advanced Tableau dashboards and visual analytics products
  • Build and execute SQL, Python, and R queries for data extraction and analysis
  • Perform statistical analysis, trend analysis, and performance measurement reporting
  • Develop predictive models and analytical tools supporting investigative prioritization
  • Conduct data integration and ETL activities across interagency systems
  • Produce reports, graphs, charts, and executive-level briefings
  • Analyze investigative outcomes, asset seizure/forfeiture metrics, and operational performance indicators
  • Support quarterly and ad hoc reporting requirements for DOJ leadership and congressional stakeholders
  • Conduct data quality audits and recommend process improvements
  • Maintain data dictionaries, schemas, and transformation documentation
  • Support automated reporting and workflow optimization initiatives
Required Qualifications
  • Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, Information Systems, or related field
  • 3+ years of applied data analytics/data science experience
  • Strong proficiency with:
    • Python
    • SQL
    • Tableau
    • Microsoft Excel
    • R (preferred)
  • Experience working with large datasets and statistical analysis
  • Experience developing dashboards and data visualizations
  • Ability to communicate analytical findings to technical and non-technical audiences
  • Active Secret Clearance required
  • U.S. Citizenship required
Preferred Qualifications
  • Experience supporting DOJ, DHS, DoD, or other federal law enforcement environments
  • Experience with investigative or intelligence-related datasets
  • Experience with machine learning or predictive analytics
  • Top Secret or TS/SCI eligibility preferred
  • Experience with ETL pipeline development and data governance

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