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Night Shift Python Data Analyst Jobs (NOW HIRING)

Company Description Swish Analytics is a sports analytics, betting and fantasy startup building the ... Source origins of data inaccuracies through data pipeline dependencies and python code base

IL · On-site

Python data analysis Work Environment / Location Scott AFB, IL (508 Scott Drive). On-site primary; off-site permitted for unclassified work where noted. SIPRNet work on-site only.

Using our analytics and visualization tools, you will gain experience working with industry-leading software applications such as Alteryx, Python, Power BI, R and SQL. Data Analyst Job Duties Data ...

Senior Data Engineer

Irving, TX

$101K - $138K/yr

Develop and maintain robust data pipelines using Apache Spark and Python * Collaborate with data scientists and analysts to optimize data workflows * Ensure data quality and integrity across large ...

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Night Shift Python Data Analyst information

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$34K

$82.6K

$136K

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

As of Jun 12, 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:
Infographic showing various Night Shift Python Data Analyst job openings in the United States as of June 2026, with employment types broken down into 4% Locum Tenens, 66% Full Time, 3% Part Time, 3% Temporary, 20% Contract, and 4% Nights. Highlights an 100% Physical job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Python, Data Engineer, AWS

Purple Drive Technologies

Columbus, OH • On-site

$110K - $132K/yr

Full-time

Posted 10 days ago


Job description

Overview:
Python, Data Engineer, AWS
Key responsibilities
  • Develop and maintain data pipelines Build, test, and maintain ETL (Extract, Transform, Load) processes to move and transform data.
  • Design and manage data architecture Construct and manage data infrastructure, including data warehouses, data lakes, and databases.
  • Automate data processes Use Python to automate tasks and build data processing applications.
  • Integrate data sources Connect internal and external data sources and APIs, and ensure system compatibility.
  • Ensure data quality and security Implement data quality checks, security controls, and access management policies.
  • Collaborate with stakeholders Work with data scientists, analysts, and other teams to understand requirements and deliver solutions.
  • Optimize systems Monitor system performance, troubleshoot issues, and implement optimizations for reliability and efficiency.

Required skills and qualifications
  • Programming Proficiency in Python is a must. SQL and other languages like Java or Scala are also valuable.
  • Databases Strong knowledge of database management systems (relational and NoSQL) and data modeling.
  • Big Data Technologies Experience with big data frameworks such as Apache Spark and Hadoop.
  • Cloud Platforms Familiarity with cloud services is often required, such as AWS, GCP, or Azure.
  • Version Control Experience with version control systems like Git.
  • Problem-Solving Strong analytical and problem-solving skills.
  • Communication Excellent communication skills to collaborate with technical and non-technical teams.
  • Education A bachelors degree in Computer Science, Engineering, or a related field is typically required.