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Freelance Python Data Analyst Jobs in Owings Mills, MD

Infojini Inc

Data Analyst

Linthicum Heights, MD

Lead data warehousing efforts and performing data analysis as needed across sets of transactional ... Basic experience in programming (R, Python, Java, Javascript, etc.) Experience working with ...

State of Maryland

Data Analyst

Baltimore, MD · On-site

$32.27 - $41.75/hr

One year of experience writing SQL queries (or using tools like Python/R) to extract, clean, transform, and aggregate data from relational databases for analysis. Strong communication 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

$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 ...

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.

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How much do freelance python data analyst jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for freelance python data analyst in Owings Mills, MD is $31.63, according to ZipRecruiter salary data. Most workers in this role earn between $20.34 and $35.34 per hour, depending on experience, location, and employer.

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 popular job titles related to Freelance Python Data Analyst jobs in Owings Mills, MD? For Freelance Python Data Analyst jobs in Owings Mills, MD, the most frequently searched job titles are:
What job categories do people searching Freelance Python Data Analyst jobs in Owings Mills, MD look for? The top searched job categories for Freelance Python Data Analyst jobs in Owings Mills, MD are:
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Freelance Python Data Analyst jobs near you

Data Analyst 2 with Security Clearance

RealmOne

Baltimore, MD • On-site

Contractor

Re-posted 20 days ago

Job description

RealmOne was built on the principle that people matter first and foremost. We believe in providing a strong work/life balance by investing in our employees and encouraging professional and personal growth. We do this by offering exceptional benefits, flexible schedules, and the tools necessary to achieve success through paid training, mentoring, and the opportunity to work alongside top-notch industry professionals. Join us on this journey as we execute this mission-critical contract providing high-end analytics and data science services within the REALM of cybersecurity. Your effort and expertise are crucial to the success and execution of this impactful mission. This opportunity supports a team of Data Scientists, Cryptologic Computer Scientists, Cryptanalytic Computer Scientists, Cryptologic Cyber Planners, Intrusion Analysts, Protocol Analysts, Signals Analysts and Reverse Engineers, responsible for improving, protecting, and defending our Nation's Security. Job Description: * The DA2s serve as behavioral scientists for AI systems, defining what constitutes "normal\" behavior before identifying anomalies. In Phase 1, they conduct controlled experiments across various AI models, including commercial services and open-source models deployed locally, to observe resource utilization, API interaction patterns, and output features. They analyze telemetry data from these systems to establish statistical baselines and create anomaly detection algorithms that can differentiate between typical operational variations and security issues. A key aspect of their work involves distinguishing between conversational AI that functions in discrete sessions and autonomous AI agents that maintain persistent states and can alter their workflows.The Level 2 Data Analyst shall possess the following capabilities: * Python data analysis (pandas, scikit-learn, numpy).
* Statistical analysis and anomaly detection.
* Data visualization skills.
* Understanding of APIs and how systems communicate.
* Ability to document and explain results to senior leadership. * Experience with AI/ML frameworks (TensorFlow, PyTorch, Hugging Face).
* Understanding of how AI systems behave (conversational vs. autonomous agents).
* Cybersecurity or threat detection background.
* Security clearance or clearance eligible.
* Will analyze behaviors of commercial AI services (ChatGPT, Claude) and open-source models.
* Will build detection algorithms (context) for AI-specific anomalies.
* Will work with large telemetry datasets.
* Will establish what \"normal\" AI behavior looks like for the Government's environment.Qualifications: * Six (6) years of demonstrated experience as a data analyst in programs and contracts of similar scope, type, and complexity is required.
* Three (3) years of demonstrated experience in cybersecurity activities in programs and contracts of similar scope, type, and complexity is required. Certifications Required: * Requires DoD 8570 compliance Information Assurance Technical (IAT) Level I or Level II certification, and Computing Environment (CE) certification. The CE certification requirements can be fulfilled with either Microsoft OS, Cent OS/Red Hat OS CE certifications.
* Requires successful completion of the Splunk software training course \"Fundamentals 1\".Position requires active Security Clearance with appropriate Polygraph

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