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Python Data Analyst Jobs in Maryland (NOW HIRING)

Longeviti, LLC

Data Analyst Level II

Frederick, MD · On-site

... Python or R for data analysis and automation. • Familiarity with Extract, Transform, Load (ETL) processes and data integration techniques. • Experience with Agile project methodologies and ...

Leidos

Journeyman Data Analyst

Bethesda, MD · On-site

Proficiency with data management and analysis tools such as SQL, Python, Excel, Access, or equivalent technologies. * Experience supporting enterprise data repositories, storage environments, or data ...

Longeviti LLC

Data Analyst Level II

Frederick, MD · On-site

$109K/yr

Knowledge of programming or scripting languages such as Python or R for data analysis and automation. * Familiarity with Extract, Transform, Load (ETL) processes and data integration techniques.

Longeviti

Data Analyst Level II

Frederick, MD

$109K/yr

Knowledge of programming or scripting languages such as Python or R for data analysis and automation. * Familiarity with Extract, Transform, Load (ETL) processes and data integration techniques.

Longeviti LLC

Data Analyst Level II

Frederick, MD

$109K/yr

Knowledge of programming or scripting languages such as Python or R for data analysis and automation. * Familiarity with Extract, Transform, Load (ETL) processes and data integration techniques.

Syndicus, Inc.

Data Scientist

Columbia, MD · Hybrid

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 ...

Leidos

Senior Data Analyst

Odenton, MD · 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 ...

Leidos

Senior Data Analyst

Odenton, MD

$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 ...

Westat

Data Visualization Analyst

Bethesda, MD · Hybrid

Develop R and Python code for data manipulation and analysis. * Develop SQL code to query and process data files in databases. * Translate business requirements into intuitive dashboard layouts and ...

CLEAResult

EV Charging Station Data Analyst

Columbia, MD · On-site

$61K - $78K/yr

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

CLEAResult

EV Charging Station Data Analyst

Columbia, MD · On-site

$61K - $78K/yr

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

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Python Data Analyst information

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.

Will AI replace a data analyst?

AI tools can automate routine data processing and analysis tasks, but the role of a data analyst involves interpreting insights, understanding business context, and communicating findings, which require human judgment. Data analysts who develop skills in programming, data visualization, and machine learning can adapt to new technologies and continue to add value in data-driven decision-making.

Is 40 too old to become a data analyst?

Age is not a barrier to becoming a data analyst; many professionals transition into the field later in life. Success depends on acquiring relevant skills such as SQL, Python, and data visualization, along with practical experience and certifications. Employers value diverse backgrounds and experience, making it possible to start a data analyst career at any age.

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 a high paying job?

Python Data Analysts are generally well-compensated due to their technical skills in programming, data manipulation, and analysis. Salaries vary based on experience, location, and industry, but proficiency in Python often leads to higher earning potential compared to many other entry-level roles in data analysis. Certifications and knowledge of related tools like SQL or machine learning can further increase salary prospects.

Is Python useful for data analysts?

Python is highly useful for data analysts because 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.
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 July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 81% Full Time, 11% Part Time, 2% Temporary, and 4% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution.
Data Analyst Level II

Data Analyst Level II

Longeviti, LLC

Frederick, MD • On-site

Full-time

Posted 13 days ago

Job description

Job Summary:
Longeviti, LLC is a government contractor specializing in providing professional support services in the fields of information technology, program management, agency administration, and intelligence analysis. They are seeking a Data Analyst Level II to provide advanced data analysis and reporting support, collaborating with stakeholders to enhance data collection and reporting processes.
Responsibilities:
• Gather and analyze customer requirements to identify data analysis needs and reporting objectives.
• Evaluate technical and business requirements to determine data-related challenges and recommend effective solutions.
• Lead or support the design, development, and maintenance of reports, dashboards, scorecards, and data visualizations.
• Identify and evaluate new data sources to improve data collection, integration, reporting, and business intelligence capabilities.
• Analyze large and complex datasets to identify trends, patterns, anomalies, and actionable insights.
• Develop data queries, reports, and performance metrics to support operational and strategic decision-making.
• Validate data integrity by identifying inconsistencies, performing quality assurance checks, and recommending corrective actions.
• Troubleshoot information systems and reporting issues to ensure the accuracy, reliability, and availability of data.
• Collaborate with business units, system administrators, and technical teams to improve data management processes and reporting efficiency.
• Prepare recurring and ad hoc reports for management, customers, and project teams.
• Assist in developing standard operating procedures (SOPs), user guides, technical documentation, and training materials related to data systems and reporting processes.
• Support system enhancements, data migration efforts, testing activities, and implementation of new reporting tools.
• Ensure compliance with organizational data governance policies, privacy requirements, and security standards.
• Perform other related duties as assigned.
Qualifications:
Required:
• Minimum of 3–5 years of experience in data analysis, business intelligence, reporting, or information systems.
• Experience developing reports, dashboards, and analytical products using business intelligence and reporting tools.
• Proficiency with Microsoft Excel, including advanced formulas, PivotTables, charts, and data analysis functions.
• Experience using SQL to query, manipulate, and analyze relational databases.
• Experience with data visualization tools such as Power BI, Tableau, or similar platforms.
• Strong analytical, critical thinking, and problem-solving skills.
• Excellent written, verbal, and presentation communication skills.
• Experience supporting federal government, Department of Defense (DoD), healthcare, or other regulated organizations.
• Experience with enterprise reporting systems, data warehouses, and cloud-based analytics platforms.
• Knowledge of programming or scripting languages such as Python or R for data analysis and automation.
• Familiarity with Extract, Transform, Load (ETL) processes and data integration techniques.
• Experience with Agile project methodologies and requirements gathering.
• Professional certifications such as Microsoft Certified: Power BI Data Analyst Associate, Tableau Certified Data Analyst, or similar credentials.
• Active Secret Security Clearance
• Bachelor's degree in Data Analytics, Computer Science, Information Systems, Statistics, Mathematics, Business Analytics, or a related field (or equivalent combination of education and experience).
Company:
Longeviti, LLC is a vibrant, disadvantaged minority-owned small business headquartered in the Washington, D.C. Founded in 2016, the company is headquartered in Sterling, USA, with a team of 51-200 employees. The company is currently Growth Stage.

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