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Junior Python Data Analyst Jobs (NOW HIRING)

Euclid Innovations

Python Data Engineer

Charlotte, NC · On-site

... with data science and analytics teams. Responsibilities : • Design, develop, and maintain ... using Python and related technologies. • Implement ETL processes to collect, cleanse, and ...

PrimCorp, LLC

Junior Data Analyst

Reston, VA · On-site

Job Title Junior Data Analyst Opportunity DIA Job Type Full-time Location Reston, VA US (Primary) Category Professional Career Level Junior Level Education Bachelor's Degree Travel Security Clearance ...

Vitol

Python Data Engineer

Houston, TX · On-site

... motivated Python Data Engineer to help us expand our data assets in support of our analytical ... This role will have the opportunity to interface directly with our traders, analysts, researchers ...

BEOVEXIS

Junior Data Analyst (Remote)

New York, NY · Remote

About the job Juni or Data Analyst (Remote) As the Data Analyst for the Security Analytics ... Experience with programming languages such as Python, R Studio, SQL * Familiarity in working with ...

Team 653 INT

Junior Data Analyst

Manhattan, NY

We are seeking a motivated Junior Data Analyst to support our team with collecting, organizing, and analyzing business data. The ideal candidate will help prepare reports, identify trends, maintain ...

Jobs for Humanity

Junior Data Analyst

Framingham, MA · Hybrid

$30 - $35/hr

YUPRO Placement Junior Data Analyst This is a contract opportunity. This is a hybrid opportunity in Framingham, MA. About this position We're seeking a Junior Data Analyst to support reporting ...

Morgan Stanley

Junior Data Analyst

Dallas, TX · On-site

$80K - $100K/yr

We're seeking someone to join our team as a Junior Data Analyst in NFR Data & Analytics to support ... Working knowledge of SQL or similar query languages; exposure to data tools (e.g., Python, Alteryx ...

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How much do junior python data analyst jobs pay per year?

As of Sep 12, 2026, the average yearly pay for junior python data analyst in the United States is $79,352.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,000.00 and $81,500.00 per year, depending on experience, location, and employer.

What does a junior Python data analyst do?

A Junior Python Data Analyst is responsible for collecting, cleaning, and analyzing data using Python programming. They help organizations make data-driven decisions by preparing reports, visualizations, and statistical analyses. Their work often involves using libraries like pandas, NumPy, and matplotlib to process data and uncover trends or insights. As entry-level professionals, they usually work under the guidance of senior analysts and contribute to a variety of projects across different departments.

What are the key skills and qualifications needed to thrive as a junior Python data analyst?

To thrive as a Junior Python Data Analyst, you need foundational skills in data analysis, statistics, and proficiency in Python, often supported by a relevant degree or coursework in data science or a related field. Familiarity with data manipulation libraries (like pandas and NumPy), SQL databases, and visualization tools such as Matplotlib or Tableau is typically required. Attention to detail, problem-solving abilities, and effective communication help you interpret data accurately and share insights with stakeholders. These skills are important for extracting actionable information from data and contributing meaningfully to business decisions.

What are some common challenges faced by junior Python data analysts when working on real-world datasets?

Junior Python Data Analysts often encounter challenges such as dealing with incomplete or inconsistent data, understanding complex data structures, and ensuring data quality before analysis. They may also need to learn how to communicate findings to both technical and non-technical team members effectively. Collaborating with data engineers and senior analysts is common, and being proactive in seeking feedback and clarifications can help overcome these hurdles and accelerate learning.

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What are the most commonly searched types of Python Data Analyst jobs?

The most popular types of Python Data Analyst jobs are:

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Infographic showing various Junior Python Data Analyst job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $79,352 per year, or $38.1 per hour.

Data Analyst / Product Analyst - Capital Markets

Fort Mill, SC • On-site

Long Finch Technologies
IT Services • 51 - 200 employees
Learn more about Long Finch Technologiesexternal

Full-time

Posted 24 days ago

Job description

We are seeking an experienced Data Analyst / Product Analyst with 10+ years of experience in Capital Markets, financial services, or banking environments. The ideal candidate will have strong hands-on expertise in SQL, Python, data analysis, and business data analysis, combined with experience supporting complex, multi-business and multi-system initiatives.

Responsibilities:

  • Perform business and data analysis using SQL and Python to identify trends, patterns, data issues, and actionable insights.
  • Analyze complex Capital Markets data and business processes across multiple businesses and systems.
  • Gather, manage, and document business/functional requirements, including user stories, use cases, acceptance criteria, and test scripts.
  • Develop customer journey maps and analyze business processes to identify gaps and opportunities for improvement.
  • Support design and solution-related activities for complex, multi-business, multi-system initiatives.
  • Work closely with Product Owners, business stakeholders, developers, QA, and technology teams within an Agile/Scrum environment.
  • Support product lifecycle development, including requirements, design, testing, implementation, and post-production activities.
  • Use Jira to manage requirements, user stories, backlog items, defects, and project deliverables.

Qualifications Required:

  • 10+ years of experience in Data Analysis, Business Analysis, Product Analysis, or a related field.
  • Strong hands-on experience with SQL and Python.
  • Strong Capital Markets domain experience; Banking/Financial Services experience is preferred.
  • Excellent analytical, problem-solving, and business data analysis skills.
  • Experience with requirements management, user stories, use cases, test scripts, and customer journey mapping.
  • Strong experience working in Agile/Scrum environments and using Jira.
  • Experience supporting complex, multi-business and multi-system initiatives with strong stakeholder communication skills.

Preferred Qualifications:

  • Experience in Banking or Financial Services.

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