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Intern Python Data Analyst Jobs in Maryland (NOW HIRING)

Booz Allen Hamilton

Data Analyst, Senior

Columbia, MD

$85K - $107K/yr

Knowledge of Python, SQL, and regex * Ability to select data, join, and enrich various datasets * Ability to communicate technical information and recommendations to peers, engineers, and analytic ...

Booz Allen Hamilton, Inc.

Data Analyst, Senior

Annapolis, MD · On-site

$85K - $107K/yr

Knowledge of Python, SQL, and regex * Ability to select data, join, and enrich various datasets * Ability to communicate technical information and recommendations to peers, engineers, and analytic ...

Booz Allen Hamilton, Inc.

Data Analyst, Senior

Columbia, MD · On-site

$85K - $107K/yr

Knowledge of Python, SQL, and regex * Ability to select data, join, and enrich various datasets * Ability to communicate technical information and recommendations to peers, engineers, and analytic ...

Seneca Holdings

Senior Business Data Analyst

Rockville, MD · On-site

$87K - $110K/yr

They are seeking a Senior Business Data Analyst to support their federal customer by analyzing data ... Python, R, SQL, UiPath, or bots) to streamline manual financial reconciliation processes • ...

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Intern Python Data Analyst information

What does an Intern Python Data Analyst do?

An Intern Python Data Analyst assists in collecting, processing, and analyzing data using Python programming language. They support the data team by writing scripts to clean and visualize data, and help generate insights from large datasets. Interns also learn to use data analysis libraries such as pandas, NumPy, and matplotlib, and may assist with reporting or automation tasks. This role is typically entry-level and offers hands-on experience in data analysis within a supervised environment.

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

AspectIntern Python Data AnalystIntern Data Scientist
Required SkillsPython, SQL, Excel, Data VisualizationPython, R, Machine Learning, Statistical Analysis
Work EnvironmentData analysis, reporting, dashboardsModel development, predictive analytics, research
Industry UsageBusiness intelligence, finance, marketingTech, healthcare, research institutions

Intern Python Data Analysts focus on analyzing data, creating reports, and visualizations using Python and related tools. Intern Data Scientists work on building models, applying machine learning, and conducting advanced statistical analysis. While both roles require Python skills, Data Scientists typically need additional knowledge of R and machine learning techniques. The roles often overlap in industries like tech and finance, but Data Scientists tend to engage in more complex predictive tasks, whereas Data Analysts focus on interpreting data for business insights.

What types of projects and tasks can an Intern Python Data Analyst expect to work on during their internship?

As an Intern Python Data Analyst, you can expect to work on a variety of data-driven projects, such as cleaning and preparing datasets, creating data visualizations, and running exploratory data analysis using Python libraries like pandas and matplotlib. You'll likely support senior analysts by automating data collection processes and helping to generate regular reports. Collaboration with team members from different departments is common, as you'll need to understand business needs and present your findings in a clear, actionable way. These experiences provide valuable exposure to real-world data challenges and can help you develop both technical and communication skills crucial for advancing in data analytics.

What are the key skills and qualifications needed to thrive as an Intern Python Data Analyst, and why are they important?

To thrive as an Intern Python Data Analyst, you need a solid understanding of data analysis concepts, proficiency in Python, and familiarity with statistics, typically supported by coursework in data science or a related field. Experience using tools like pandas, NumPy, Jupyter Notebook, and SQL, as well as exposure to data visualization libraries such as matplotlib or seaborn, is highly beneficial. Curiosity, attention to detail, and strong problem-solving and communication skills help you extract insights and present findings effectively. These skills are important for accurately analyzing data, translating results into actionable insights, and supporting data-driven decisions within an organization.
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 cities in Maryland are hiring for Intern Python Data Analyst jobs? Cities in Maryland with the most Intern Python Data Analyst job openings:
Intern Python Data Analyst jobs near you
Data Analyst I

Data Analyst I

Brethren Mutual Insurance Company

Hagerstown, MD • On-site

$77K - $116K/yr

Full-time

Posted yesterday

Job description

Job Summary

Entry-level Data Analyst with strong SQL skills to support our insurance data and application systems. This role is ideal for a candidate who enjoys working with data, writing queries, and supporting business-critical insurance processes such as policy rating and administration. You will work closely with senior developers, analysts, and business users to ensure accurate, reliable, and compliant data solutions.

Key Responsibilities

  • Develops, tests, and optimizes SQL queries, views, and stored procedures
  • Contributes to data validation, reconciliation, and quality checks
  • Advises on less complicated data-related issues and production support requests
  • Participates in application enhancements that involve database changes
  • Documents database logic, queries, and data flows
  • Carries out data security, privacy, and insurance compliance standards

Required Qualifications

  • Bachelor's degree in Computer Science, Information Systems, Data Analytics, or related field (or equivalent experience)
  • 2-4 Years of experience in a similar field
  • Strong foundational knowledge of SQL (SELECTs, JOINs, subqueries, aggregates)
  • Understanding of basic database concepts (tables, indexes, keys, normalization)
  • Familiarity with software development lifecycle (SDLC) concepts

Preferred Qualifications

  • Coursework, projects, or internships involving heavy SQL usage
  • Exposure to stored procedures, functions, and performance tuning
  • Basic programming experience in a language such as C#, Java, or Python
  • Experience with reporting tools or data analysis (Power BI, Excel)
  • Interest in insurance, financial services, or data-driven applications
  • Interest or experience in automation processes and tools, such as Power Automate
  • Familiarity with file transfer software, such as GoAnywhere

Soft Skills

  • Strong attention to detail and data accuracy
  • Analytical mindset with problem-solving skills
  • Ability to communicate technical information clearly
  • Comfortable working in a fast-paced environment, managing competing priorities
  • Willingness to learn insurance systems and business processes
  • Ability to learn and become proficient in vendor & proprietary software applications

What We Offer

  • Mentorship and training focused on SQL and insurance data systems
  • Hands-on experience with real insurance datasets and applications
  • Clear career path toward senior Software Developer, senior Data Analyst, or Database Developer roles
  • Competitive entry-level compensation and benefits