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Night Shift Python Data Analyst Jobs (NOW HIRING)

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 ...

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 ...

Syntricate Technologies

Python Data Engineer

Jersey City, NJ · On-site

$125K - $150K/yr

Required : • 5+ years applied experience • bachelor's degree required • Python Programming • Strong skills around object-oriented analysis and design (OOAD) • data structures • algorithms ...

Jobtailor

NY · On-site

Use Python to automate reporting, data validation, file processing, and repetitive tasks * Build and maintain reports and dashboards using Power BI and other reporting tools * Assist with analyzing ...

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

As of Sep 14, 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?

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

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

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For Night Shift Python Data Analyst jobs, the most frequently searched job titles are:

Night Shift Python Data Analyst jobs near you

Data Analyst / Product Analyst - Capital Markets

Lake Wylie, SC • On-site

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

Full-time

Posted 26 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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