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Night Shift Python Data Analyst Jobs (NOW HIRING)

Vitol

Python Data Engineer

Houston, TX · On-site

They are seeking a talented Python Data Engineer to enhance their data assets and support analytical capabilities, working closely with traders, analysts, and data scientists. Responsibilities : • ...

Black Cape

Python Data Engineer

Tampa, FL · On-site

Python Data Engineer (Entry - Mid Level) Location: Tampa, FL Onsite: Expected to go onsite (into a ... Come join us to work on cloud-native full-stack web applications, advanced data analysis tools, and ...

Vitol

Python Data Engineer

Houston, TX

... 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 ...

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 ...

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Night Shift Python Data Analyst information

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How much do night shift python data analyst jobs pay per year?

As of Aug 22, 2026, the average yearly pay for night shift python data analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What is the difference between Night Shift Python Data Analyst vs Night Shift Data Scientist?

AspectNight Shift Python Data AnalystNight Shift Data Scientist
Required SkillsPython, SQL, data visualization, basic statistical analysisPython, R, machine learning, statistical modeling, data visualization
Work EnvironmentData analysis teams, reporting, dashboardsResearch, model development, advanced analytics
CertificationsPython certifications, data analysis coursesData science certifications, machine learning courses

Night Shift Python Data Analysts focus on data cleaning, reporting, and visualization using Python, working mainly with structured data. Night Shift Data Scientists perform advanced statistical modeling and machine learning to generate predictive insights. While both roles require Python skills, Data Scientists typically need additional expertise in R and machine learning. The roles often overlap in industries like finance, healthcare, and tech, but Data Scientists engage in more complex analysis and model development.

What cities are hiring for Night Shift Python Data Analyst jobs?

Cities with the most Night Shift Python Data Analyst job openings:

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

The most popular types of Shift Python Data Analyst jobs are:

What states have the most Night Shift Python Data Analyst jobs?

States with the most job openings for Night Shift Python Data Analyst jobs include:

Night Shift Python Data Analyst jobs near you

Data Analyst / Product Analyst - Capital Markets

Long Finch Technologies

Stallings, NC • On-site

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.

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.

Apply