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Entry Level Python Data Analysis Jobs in Baltimore, MD

... data analysis techniques. The candidate should be proficient in SQL, Python, R, or related programming Why You Will Love Interclypse * You want to work for an adaptive company that moves at your ...

... data analysis techniques. The candidate should be proficient in SQL, Python, R, or related programming Why You Will Love Interclypse * You want to work for an adaptive company that moves at your ...

... data analysis techniques. The candidate should be proficient in SQL, Python, R, or related programming Why You Will Love Interclypse * You want to work for an adaptive company that moves at your ...

Utilizes various data analysis tools and software (like SAS, SQL, Excel, R, Python, Tableau, etc.) to manipulate and analyze data, identifying trends in data to pinpoint variances, outliers, and ...

Utilizes various data analysis tools and software (like SAS, SQL, Excel, R, Python, Tableau, etc.) to manipulate and analyze data, identifying trends in data to pinpoint variances, outliers, and ...

Work extensively with Python libraries such as Pandas, NumPy, and Scikit-learn for data processing and analysis. * Implement and optimize NLP techniques using tools like NLTK, SpaCy, or Transformers.

Data Scientist 3

Linthicum, MD · On-site

$209K - $225K/yr

Regression and predictive analysis * Python * MATLAB or R * SQL or Mongodb * Metric Database ... with data analysis software such as R, Python, SAS, or MATLAB . * An additional two years of ...

Data Engineer

Baltimore, MD · On-site

$113K - $136K/yr

... and Python. * Data pipeline tooling and cloud data services experience (Azure Data Factory, Azure Databricks, Azure Event Hubs, SSIS). * Data warehousing experience (Azure Synapse Analytics) and ...

Data Engineer

Annapolis Junction, MD · On-site

$117K - $140K/yr

... data analysis on raw data. Responsibilities : • orchestrate complex operational data flows ... S. • Experience using the Linux CLI and Tools • Experience writing scripts using Bash/Python ...

Showing results 21-40

Entry Level Python Data Analysis information

See Baltimore, MD salary details

$13

$32

$61

How much do entry level python data analysis jobs pay per hour?

As of Sep 10, 2026, the average hourly pay for entry level python data analysis in Baltimore, MD is $32.72, according to ZipRecruiter salary data. Most workers in this role earn between $21.01 and $36.54 per hour, depending on experience, location, and employer.

What is the difference between Entry Level Python Data Analysis vs Data Analyst?

AspectEntry Level Python Data AnalysisData Analyst
Required SkillsPython, SQL, basic statistics, data visualizationExcel, SQL, statistics, data visualization
CertificationsPython programming, data analysis coursesExcel, Tableau, SQL certifications
Work EnvironmentTech companies, startups, data-driven teamsBusiness, finance, healthcare sectors
Typical TasksData cleaning, scripting in Python, creating dashboardsData reporting, analysis, presenting insights

Entry Level Python Data Analysis focuses on using Python for data manipulation and visualization, often requiring programming skills. Data Analysts may use a broader set of tools like Excel and Tableau but also perform similar data interpretation tasks. Both roles are entry-level positions in data teams, but Python skills give an edge in automation and handling larger datasets.

What are the most commonly searched types of Python Data Analysis jobs in Baltimore, MD?

The most popular types of Python Data Analysis jobs in Baltimore, MD are:

What are popular job titles related to Entry Level Python Data Analysis jobs in Baltimore, MD?

For Entry Level Python Data Analysis jobs in Baltimore, MD, the most frequently searched job titles are:

What job categories do people searching Entry Level Python Data Analysis jobs in Baltimore, MD look for?

The top searched job categories for Entry Level Python Data Analysis jobs in Baltimore, MD are:

What cities near Baltimore, MD are hiring for Entry Level Python Data Analysis jobs?

Cities near Baltimore, MD with the most Entry Level Python Data Analysis job openings:

Infographic showing various Entry Level Python Data Analysis job openings in Baltimore, MD as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 13% Part Time, and 5% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $68,052 per year, or $32.7 per hour.

Senior Data Scientist

Ellicott City, MD

Contractor

Re-posted 14 days ago


Job description

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  • IT IS 100 % On Site position in Woodlawn\n
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  • Selected candidate must be able to obtain and maintain a public trust clearance\n
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  • Selected candidate must be willing to work on\-site in Woodlawn, MD 5 days a week\n
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    \n KEY REQUIRED SKILLS:<\/b><\/u><\/span><\/span><\/span><\/span>\n
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    • Strong practical experience with Natural Language Processing (NLP), Text Processing, and Information Extraction concepts including Named Entity Recognition, Blocking and Indexing, String Distance Metrics, TF\-IDF\/Cosine Similarity, Phonetics Encoding, Address Standardization \n
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    • Solid Python, Regex, and SQL experience\n
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    • Excellent Communication skills<\/b>\n
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      \n POSITION DESCRIPTION:<\/b><\/span><\/u><\/span><\/span>\n
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      • Develop Analytics Solutions:<\/b> Design, implement, and maintain advanced data processing and entity resolution pipelines using Python and SQL on enterprise data platforms.\n
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      • Data Hygiene & Management:<\/b> Clean, transform, and manage large\-scale datasets from diverse, complex sources, ensuring absolute data integrity, reliability, and security.\n
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      • Performance Optimization: <\/b>Optimize complex SQL queries and database operations to ensure efficient data access, processing, and scalability.\n
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      • Engineering Standards<\/b>: Actively participate in code reviews, enforce version control, and uphold best practices for code quality, reproducibility, and data privacy.\n
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      • End\-to\-End Delivery: <\/b>Support data validation, testing, deployment, and post\-implementation monitoring in a fast\-paced environment.<\/span><\/span>\n
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        \n \n Requirements<\/h3>\n

        BASIC QUALIFICATIONS:<\/b><\/u><\/span><\/span>\n
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        • Master's and 10+ years of experience, Bachelor's and 12+ years of experience or 18+ years in lieu of a degree<\/b> \n
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        • Bachelor's degree in Statistics, Applied Mathematics, Computer Science, or Information Science with experience in NLP, Text Processing, Information Extraction, Python, SQL, Regex and specialized libraries\/frameworks. \n
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        • Overall 10+ years' experience in IT industry<\/span><\/span><\/span>\n
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          REQUIRED SKILLS:<\/b><\/u><\/span><\/span>\n
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          • Strong practical experience with Natural Language Processing (NLP), Text Processing, and Information Extraction including: \n
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          • Practical knowledge of Named Entity Recognition and Address Standardization to extract and clean unstructured text data.\n
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          • Deep understanding of data matching strategies, including Blocking and Indexing, String Distance Metrics, and Phonetic Encoding.\n
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          • Experience applying TD\-IDF and Cosine Similarity for text comparisons and information retrieval.\n
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          • Strong Python development skills for building analytics solutions and manipulating data.\n
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          • Advanced SQL proficiency for complex data querying, optimization, and database operations.\n
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          • Practical experience using Regex for advanced text processing, data cleansing, and pattern matching.\n
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          • Familiarity with specialized libraries and frameworks including:\n
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          • Linkage libraries such as Splink \/ FastLink, Dedupe, or recordlinkage\n
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          • Core Python data science libraries, specifically spaCy for NLP tasks and Scikit\-Learn for general machine learning and clustering\n
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          • Familiarity with code reviews, version control, and maintaining data security and reproducibility standards.\n
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          • Excellent communication skills.<\/span><\/span><\/span>\n
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            DESIRED SKILLS:<\/b><\/u><\/span><\/span>\n
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            • Prior experience delivering IT or data initiatives within federal, state, or local government environments <\/span>\n
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            • Proven ability to operate independently, take ownership of data pipeline architectures, and drive projects from data discovery through to post\-implementation.<\/span>\n
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            • Experience retrieving, migrating, and manipulating data from legacy and distributed systems, including PostgreSQL, DB2, Oracle, SQL Server, and Hadoop, as well as unstructured flat files.<\/span>\n
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            • Experience utilizing Jenkins to automate continuous integration, testing, and deployment (CI\/CD) for data validation pipelines.<\/span>\n
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            • Experience with pipeline automation tools to schedule and monitor complex data cleansing jobs.<\/span>\n
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            • Strong ability to translate complex algorithmic decisions (such as probabilistic match thresholds) into clear business logic for executive leadership and non\-technical stakeholders.<\/span><\/span><\/span>\n
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            • Excellent problem\-solving skills and proven verbal\/written communication skills when collaborating across cross\-functional teams.\n
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