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Python Data Analyst Jobs in Maryland (NOW HIRING)

Strong skills in Python, especially for data manipulation (e.g., Pandas, NumPy) and machine ... data analytics. * Familiarity with various log formats such as JSON, XML, and others. * Must be ...

Senior Business Data Analyst

Rockville, MD

$87K - $110K/yr

Demonstrated experience developing and deploying automated tools (e.g., Python, R, SQL, UiPath, or ... Master's Degree in Data Science, Business Analytics, or Information Technology * Experience ...

Senior Data Analyst

Odenton, MD ยท On-site

$87K - $157K/yr

Leidos is seeking a Senior Data Analyst to join our Defense Enclave Services (DES) team, who will ... Python experience. * Experience working in Agile development environment with tools such as Jira ...

Data analysis software and programming experience (e.g., MS Azure, Python, Geographical Information System [GIS], Microsoft Power BI, Tableau) * Excellent communication skills (verbal, interpersonal ...

Data analysis software and programming experience (e.g., MS Azure, Python, Geographical Information System [GIS], Microsoft Power BI, Tableau) * Excellent communication skills (verbal, interpersonal ...

Leidos is seeking a Senior Data Analyst to join our Defense Enclave Services (DES) team, who will ... Python experience. * Experience working in Agile development environment with tools such as Jira ...

Data Analyst III (AI)

California, MD ยท Remote

$51 - $56/hr

Proficiency with Python and R for data processing and analysis. Experience in AI-centric organizations or with AI tools integrated into analytics workflows. Ability to lead best practices for data ...

Data Analyst, Segment Marketing

Owings Mills, MD ยท Hybrid

$82K - $102K/yr

Python experience is a plus. * Prior experience working closely with data scientists in developing predictive and large language models. * Prior experience designing, executing, and analyzing ...

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Python Data Analyst information

See Maryland salary details

$33K

$80.2K

$132K

How much do python data analyst jobs pay per year?

As of Jun 19, 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?

A Python Data Analyst leverages the Python programming language to collect, process, and analyze large sets of data. They use tools and libraries like Pandas, NumPy, and Matplotlib to clean data, perform statistical analysis, and create visualizations that help organizations make data-driven decisions. Their role often involves extracting insights from complex datasets, automating data workflows, and communicating findings to stakeholders through reports or dashboards. Python Data Analysts play a crucial part in turning raw data into actionable business intelligence.

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.

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.

Are Python coders still in demand?

Python data analysts are currently in high demand due to the language's versatility in data analysis, machine learning, and automation. Skills in libraries like Pandas, NumPy, and experience with data visualization tools increase employability across various industries.

Is 40 too old to become a data analyst?

Age is not a barrier to becoming a data analyst. Many professionals successfully transition into data analysis at various ages by acquiring skills in programming languages like Python or SQL, and gaining experience with data visualization tools. Employers value skills and experience over age, and continuous learning can help you stay competitive in the field.

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.

Is Python useful for data analysts?

Python is highly useful for data analysts as it offers powerful libraries like Pandas, NumPy, and Matplotlib for data manipulation, analysis, and visualization. It is widely used in the industry for automating tasks, building data pipelines, and performing statistical analysis, making it a valuable skill for the role.

Will AI replace data analysts?

AI is transforming the role of data analysts by automating routine tasks such as data cleaning and basic analysis, but it is unlikely to fully replace them. Data analysts are needed to interpret complex insights, make strategic decisions, and develop models that require domain expertise and critical thinking. Skills in programming, data visualization, and understanding AI tools remain valuable in this evolving field.
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:
Infographic showing various Python Data Analyst job openings in Maryland as of June 2026, with employment types broken down into 3% As Needed, 38% Full Time, 49% Part Time, 9% Contract, and 1% Nights. Highlights an 82% Physical, 7% Hybrid, and 11% Remote job distribution, with an average salary of $80,206 per year, or $38.6 per hour.
Data Scientist

Data Scientist

Syndicus, Inc.

Columbia, MD โ€ข Hybrid

Other

Posted 14 days ago


Job description

Data Scientist (Hybrid)
Data Engineer
Columbia, MD
Description
We are looking for a talented Data Scientist to support the analysis of mission critical and mission-support data sets.
Requirements
Essential Job Responsibilities
  • The ideal candidate will have worked with big data systems, complex structured and unstructured data sets, and have supported government data analysis and analytic development efforts in the past.
  • The candidate will have experience authoring data transforms and statistical analytics for data quality and conformance validation.
  • To excel in the position, the candidate shall have a strong attention to detail, be able to understand technical complexities, and have the willingness to learn and adapt to the situation.
  • The candidate will work both independently and as part of a team to accomplish client objectives.
Minimum Qualifications
  • 9 years total relevant experience plus the following: BS in Engineering, Computer Science, or technical degree or industry experience equivalent (+4 years relevant experience can substitute for a BS degree)
  • Security Clearance-Current active Secret
  • Strong skills in Python, especially for data manipulation (e.g., Pandas, NumPy) and machine learning, natural language processing (e.g., Scikit-Learn, PyTorch, Spa Cy, NLTK)
  • Fluency with data extraction, custom translation development, and loading including data prep and labeling to enable data analytics.
  • Familiarity with various log formats such as JSON, XML, and others.
  • Must be willing to achieve required skill certification promptly. Prefer current DoD IAT II or higher certification.
  • Willingness to do a programming challenge during the interview process.
  • Experience with Jupyter Notebooks, Python Data Science Libraries.
  • Experience with ML-OPS and related tools (e.g., MLFLOW, Sagemaker, Bedrock) and ability to build interactive, insightful dashboards for monitoring ML models.
  • Place of Performance: Hybrid work in Columbia, MD
Desired Skills (Optional)
  • Experience with NOSQL databases such as Accumulo a plus
  • Familiarity with deploying models as API's or within containerized environments (e.g., Docker, Kubernetes) to serve and monitor models in production.
  • Experience with Large Language Models (LLMs)/transformer models
  • Experience with writing, updating Java API's
  • Prior experience supporting cyber and/or network security operations within a large enterprise, as either an analyst, engineer, architect, or developer.
  • Experience with restful API's
  • Familiarity with Agile Project team and task management environment.
  • Experience with Zoom/Team/Meet style team meetings.
Syndicus NACON provides service-oriented staffing and recruiting services to small businesses, large corporations, nonprofits, and government agencies. We pride ourselves on personal service, local market knowledge and commitment to providing great job opportunities. We specialize in contract, contract-to-hire, and direct placement positions. We are an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.