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Freelance Python Data Analyst Jobs in Maryland (NOW HIRING)

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 ...

Inventwood

R & D Data Analyst

Frederick, MD · On-site

Strong working proficiency in Python for data analysis (e.g., pandas, SciPy, Jupyter, matplotlib/Plotly or similar). * A solid grounding in regression analysis and applied statistics from a data ...

Sbdinc

Senior Data Analyst

Towson, MD · On-site

$77K - $124K/yr

Develop and enhance forecasting models using Python and R, including statistical and machine ... Supply Chain Analytics, or Data Science within manufacturing or industrial environments.

AV, Inc.

Data Analyst with Security Clearance

Annapolis, MD · On-site

$130K - $190K/yr

Worker Type Regular Summary The Data Analyst will support to conceive, develop, mature, maintain ... Professional experience developing and scripting in Python. * Strong verbal communication skills ...

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Freelance Python Data Analyst information

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

AspectFreelance Python Data AnalystFreelance Data Scientist
Required SkillsPython, data analysis, visualization, SQLPython, machine learning, statistical modeling, data analysis
Work EnvironmentProject-based, client-specific, remote or on-siteProject-based, client-specific, remote or on-site
Industry UsageBusiness intelligence, reporting, data cleaningPredictive modeling, advanced analytics, AI development

Freelance Python Data Analysts focus on interpreting data, creating reports, and visualizations using Python, while Freelance Data Scientists work on developing predictive models and advanced analytics. Both roles often operate in similar environments but differ in technical depth and project scope.

What skills and qualifications are needed to thrive as a freelance Python data analyst?

To thrive as a Freelance Python Data Analyst, you need strong analytical skills, proficiency in Python programming, and a solid understanding of statistics and data manipulation, often supported by a degree in a quantitative field. Familiarity with data analysis libraries like pandas, NumPy, and visualization tools such as matplotlib or Tableau is typically required, along with experience using SQL and version control systems like Git. Excellent communication, problem-solving, and self-management skills distinguish successful freelancers who can clearly convey insights to clients and manage multiple projects independently. These skills are crucial for delivering actionable data-driven solutions and maintaining client satisfaction in a competitive freelance environment.

What does a freelance Python data analyst do?

A Freelance Python Data Analyst uses Python programming and analytical skills to collect, process, and interpret data for clients on a project or contract basis. Their work often involves cleaning data, running statistical analyses, creating visualizations, and generating actionable insights to help businesses make informed decisions. They may also automate data workflows and build custom scripts or dashboards tailored to client needs. As freelancers, they work independently, managing their own schedules and client relationships.

How does a freelance Python data analyst typically manage communication and project expectations with multiple clients?

Freelance Python Data Analysts often work with several clients simultaneously, which requires clear communication and effective project management. They typically use tools like email, project management platforms, and regular video calls to establish project goals, timelines, and deliverables. Setting expectations early and providing frequent updates help build trust and ensure clients are satisfied with the analyst's work. Additionally, strong organizational skills are essential to prioritize tasks and manage overlapping deadlines.
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 Freelance Python Data Analyst jobs in Maryland? For Freelance Python Data Analyst jobs in Maryland, the most frequently searched job titles are:
What job categories do people searching Freelance Python Data Analyst jobs in Maryland look for? The top searched job categories for Freelance Python Data Analyst jobs in Maryland are:
What cities in Maryland are hiring for Freelance Python Data Analyst jobs? Cities in Maryland with the most Freelance Python Data Analyst job openings:
Freelance Python Data Analyst jobs near you

Scientific Data Analyst (Surveillance)

Goldbelt, Inc.

Silver Spring, MD

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 2 days ago

New

Job description

Overview

Please note that this position is contingent upon the successful award of a contract currently under bid.

Goldbelt Apex, a part of the Healthcare Technology Transformation Group, is a data-focused company dedicated to process and quality in every aspect. As experts in healthcare IT experts, Apex is committed to building systems for healthcare organizations to seamlessly communicate and exchange data across different systems and devices. 

Summary:

Goldbelt Apex is seeking an experienced Scientific Data Analyst (Surveillance) to support the Defense Health Agency's Psychological Health Center of Excellence (PHCoE). This position provides analytical expertise supporting behavioral health surveillance, data management, statistical reporting, and decision support activities that inform psychological health programs across the Military Health System.

The successful candidate will analyze complex healthcare and behavioral health datasets, identify trends affecting Service Member health and readiness, develop data visualizations and reports, and support evidence-informed decision-making through advanced analytical techniques. This role works closely with Government stakeholders, researchers, epidemiologists, statisticians, and behavioral health professionals to transform data into actionable intelligence.


Responsibilities

Essential Job Functions:

  • Analyze large behavioral health, healthcare, and surveillance datasets to identify trends, patterns, and emerging issues affecting military populations.
  • Support psychological health surveillance initiatives through data collection, validation, analysis, and interpretation.
  • Develop dashboards, data visualizations, executive reports, and briefing materials that communicate analytical findings to Government leadership.
  • Perform data quality assessments and ensure the integrity, accuracy, and completeness of analytical products.
  • Support development and maintenance of surveillance metrics, performance indicators, and reporting methodologies.
  • Collaborate with researchers, statisticians, epidemiologists, clinicians, and Government stakeholders to support ongoing behavioral health research and surveillance initiatives.
  • Analyze healthcare utilization, behavioral health outcomes, and population health data to support strategic planning and policy development.
  • Develop reproducible analytical workflows using appropriate statistical and data management software.
  • Prepare technical documentation, analytical reports, presentations, and data summaries supporting contract deliverables.
  • Assist in integrating data from multiple healthcare and research sources to support comprehensive surveillance efforts.
  • Identify opportunities to improve data collection, reporting processes, and analytical methodologies.
  • Ensure analytical products comply with scientific standards, privacy requirements, and Government data management policies.
  • Support special studies, rapid response analyses, and emerging behavioral health initiatives as requested.

Qualifications

Necessary Skills and Knowledge:

  • Strong knowledge of healthcare and behavioral health data analysis.
  • Experience working with large, complex datasets from multiple data sources.
  • Proficiency with statistical software such as SAS, R, SQL, Python, SPSS, or comparable analytical tools.
  • Knowledge of data visualization platforms such as Tableau, Power BI, or similar business intelligence software.
  • Understanding of healthcare surveillance methodologies and performance measurement.
  • Knowledge of data governance, quality assurance, and validation techniques.
  • Strong analytical, problem-solving, and critical thinking skills.
  • Excellent technical writing and presentation skills.
  • Ability to communicate analytical findings to both technical and non-technical audiences.
  • Ability to work effectively within multidisciplinary scientific and healthcare teams.

Minimum Qualifications:

  • Bachelor's degree in Data Science, Statistics, Computer Science, Public Health, Health Informatics, Epidemiology, Mathematics, or a related discipline.
  • Meet all education and experience requirements identified in the solicitation for the Scientific Data Analyst labor category.
  • Demonstrated experience analyzing healthcare, behavioral health, public health, or scientific datasets.
  • Experience developing dashboards, performance metrics, and executive-level reports.
  • Experience supporting surveillance, epidemiology, population health, healthcare operations, or research initiatives.
  • Experience performing statistical analyses and interpreting complex analytical findings.
  • Experience integrating and validating data from multiple systems or databases.
  • Experience supporting Government agencies, healthcare organizations, research institutions, or comparable environments.
  • U.S. Citizenship.
  • Ability to obtain and maintain a Public Trust background investigation and Common Access Card (CAC).
  • Occasional travel may be required in support of contract performance.

Preferred Qualifications:

  • Preference may be given to candidates with experience supporting:
    • Defense Health Agency (DHA)
    • Psychological Health Center of Excellence (PHCoE)
    • Military Health System (MHS)
    • Department of Defense (DoD)
    • Department of Veterans Affairs (VA)
    • National Institutes of Health (NIH)
    • Centers for Disease Control and Prevention (CDC)
    • Department of Health and Human Services (HHS)
  • Experience supporting behavioral health surveillance or healthcare analytics.
  • Experience working with military healthcare or population health datasets.
  • Experience developing executive dashboards and business intelligence products.
  • Knowledge of healthcare data standards, data warehouses, and clinical information systems.
  • Experience supporting federally funded healthcare research programs.
  • Experience applying predictive analytics, machine learning, or advanced analytical methodologies to healthcare data.
  • Experience presenting analytical findings to senior leadership.

Pay and Benefits

The annual salary range for this position is $135,000 to $155,000. This is a proposal-contingent position. The salary range provided represents the anticipated compensation for this role; however, final compensation will be based on the successful contract award and the selected candidate's qualifications and experience.

At Goldbelt, we value and reward our team's dedication and hard work. We provide a competitive base salary commensurate with your qualifications and experience. As an employee, you'll enjoy a comprehensive benefits package, including medical, dental, and vision insurance, a 401(k) plan with company matching, tax-deferred savings options, supplementary benefits, paid time off, and professional development opportunities.

Qualifications:

Necessary Skills and Knowledge:

  • Strong knowledge of healthcare and behavioral health data analysis.
  • Experience working with large, complex datasets from multiple data sources.
  • Proficiency with statistical software such as SAS, R, SQL, Python, SPSS, or comparable analytical tools.
  • Knowledge of data visualization platforms such as Tableau, Power BI, or similar business intelligence software.
  • Understanding of healthcare surveillance methodologies and performance measurement.
  • Knowledge of data governance, quality assurance, and validation techniques.
  • Strong analytical, problem-solving, and critical thinking skills.
  • Excellent technical writing and presentation skills.
  • Ability to communicate analytical findings to both technical and non-technical audiences.
  • Ability to work effectively within multidisciplinary scientific and healthcare teams.

Minimum Qualifications:

  • Bachelor's degree in Data Science, Statistics, Computer Science, Public Health, Health Informatics, Epidemiology, Mathematics, or a related discipline.
  • Meet all education and experience requirements identified in the solicitation for the Scientific Data Analyst labor category.
  • Demonstrated experience analyzing healthcare, behavioral health, public health, or scientific datasets.
  • Experience developing dashboards, performance metrics, and executive-level reports.
  • Experience supporting surveillance, epidemiology, population health, healthcare operations, or research initiatives.
  • Experience performing statistical analyses and interpreting complex analytical findings.
  • Experience integrating and validating data from multiple systems or databases.
  • Experience supporting Government agencies, healthcare organizations, research institutions, or comparable environments.
  • U.S. Citizenship.
  • Ability to obtain and maintain a Public Trust background investigation and Common Access Card (CAC).
  • Occasional travel may be required in support of contract performance.

Preferred Qualifications:

  • Preference may be given to candidates with experience supporting:
    • Defense Health Agency (DHA)
    • Psychological Health Center of Excellence (PHCoE)
    • Military Health System (MHS)
    • Department of Defense (DoD)
    • Department of Veterans Affairs (VA)
    • National Institutes of Health (NIH)
    • Centers for Disease Control and Prevention (CDC)
    • Department of Health and Human Services (HHS)
  • Experience supporting behavioral health surveillance or healthcare analytics.
  • Experience working with military healthcare or population health datasets.
  • Experience developing executive dashboards and business intelligence products.
  • Knowledge of healthcare data standards, data warehouses, and clinical information systems.
  • Experience supporting federally funded healthcare research programs.
  • Experience applying predictive analytics, machine learning, or advanced analytical methodologies to healthcare data.
  • Experience presenting analytical findings to senior leadership.

Pay and Benefits

The annual salary range for this position is $135,000 to $155,000. This is a proposal-contingent position. The salary range provided represents the anticipated compensation for this role; however, final compensation will be based on the successful contract award and the selected candidate's qualifications and experience.

At Goldbelt, we value and reward our team's dedication and hard work. We provide a competitive base salary commensurate with your qualifications and experience. As an employee, you'll enjoy a comprehensive benefits package, including medical, dental, and vision insurance, a 401(k) plan with company matching, tax-deferred savings options, supplementary benefits, paid time off, and professional development opportunities.

Education:UNAVAILABLEEmployment Type: FULL_TIME

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