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Intern Python Data Analyst Jobs in Michigan (NOW HIRING)

Cognizant

Senior Python Data Engineer

Atlanta, MI · On-site

$100K - $114K/yr

About the Role As a Senior Python Data Engineer , you will make an impact by designing, building ... Experience with the Databricks platform and cloud-based analytics solutions. * Knowledge of large ...

Technomics

Data Analyst

Troy, MI · On-site

Position-Specific Overview Data Analysts will support a U.S. Government client in developing data ... Relevant experience includes Python, SQL, JavaScript/TypeScript, ETL/ELT, low-code development ...

Technomics, Inc.

Data Analyst

Troy, MI · On-site

Position-Specific Overview Data Analysts will support a U.S. Government client in developing data ... Relevant experience includes Python, SQL, JavaScript/TypeScript, ETL/ELT, low-code development ...

Marriott International

Data Analyst

Detroit, MI

Proficiency in data analysis tools such as Excel, SQL, or Python. * Strong analytical and problem-solving skills. * Excellent communication skills, both written and verbal. * Ability to work ...

Tech Tammina LLC

Data Analyst

Warren, MI · On-site

Role: Data Analyst Location: Warren, MI (Hybrid) Duration: Long tern Rate: Market Key ... Databricks, Python (Scripting), Jupyter, Spark, Hue * Oracle PL/SQL, Oracle DBMS, Hadoop DBMS

AAA Life Insurance Company

Data Analyst III

Livonia, MI · On-site

Utilize statistical techniques and data analysis tools (i.e., Python, R, SQL) to gather, clean, analyze, and provide recommendations regarding large datasets from various sources, identifying trends ...

Strategic Staffing Solutions

Sr. Data Analyst

Detroit, MI · Hybrid

$85K - $107K/yr

... and Python proficiency Statistics, forecasting, experimentation, and decision analytics Knowledge of data engineering concepts, ETL/ELT, data modeling, APIs, cloud platforms, and data quality ...

Kratos Defense

Performance Engineer Intern

Auburn Hills, MI

$15.75 - $20.50/hr

The intern will work directly under the Senior Performance Engineer, providing hands-on support for ... Exposure to CAD, MATLAB, Python, data acquisition, Excel analysis, or other technical software.

Bay College

Data Analyst

Escanaba, MI · On-site

$53K/yr

Experience with SQL, Python, or R programming languages Months Per Year 12 Hours Worked Per Week 40 ... Collect, analyze, and interpret institutional data to support decision-making and strategic ...

Saintfrancis

Population Health Data Analyst

Yale, MI · On-site

Tableau, Qlik, PowerBI) or advanced data analytic tools (Python, R, SAS).Proven analytical skills, ability to draw insights from data and translate those insights into clear priorities and ...

MetaRPO

W2 - Snowflake Data engineer

Detroit, MI · On-site

$104K - $125K/yr

... Snowflake, AWS, Python, Data Vault, and enterprise data integration to design and deliver scalable data solutions supporting analytics, reporting, data science, and AI initiatives. Key ...

Niowave Inc.

Senior Data Analyst

Lansing, MI · On-site

$78K - $98K/yr

Senior Data Analyst Who we are... We are a team of scientists, engineers, technicians, and ... Experience with Python for analysis or automation Other things to know... * Full-time position

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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 are the key skills and qualifications needed to thrive as an Intern Python Data Analyst?

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

The most popular types of Python Data Analyst jobs in Michigan are:

Intern Python Data Analyst jobs near you

Senior Python Data Engineer

Atlanta, MI • On-site

Cognizant
See more jobs at Cognizantexternal

$100K - $114K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 4 days ago

Cognizant rating

7.0

Company rating: 7.0 out of 10

Based on 87 frontline employees who took The Breakroom Quiz

Job description

About the Role

As a Senior Python Data Engineer, you will make an impact by designing, building, and optimizing scalable data pipelines and cloud-native applications that enable reliable, high-performance data processing and integration. You will be a valued member of the engineering team and work collaboratively with data engineers, software developers, architects, product stakeholders, and cross-functional teams to deliver business-critical solutions.
This position does not offer visa sponsorship. Candidates must be authorized to work without sponsorship now or in the future, including OPT, CPT, H1B or any other work authorization requiring employer sponsorship.

In This Role, You Will:
  • Design, build, and optimize data ingestion, transformation, and processing pipelines using modern Python data frameworks.
  • Develop, deploy, and maintain serverless REST APIs and event-driven applications on AWS.
  • Integrate AWS services and enterprise data platforms to ensure reliable messaging, orchestration, and state management.
  • Leverage AI-powered development tools to accelerate coding, testing, documentation, and overall software delivery.
  • Contribute to a fast-paced engineering environment focused on delivering high-quality solutions with speed, scalability, and reliability.
Work Model

At Cognizant, we strive to provide flexibility wherever possible, and we are here to support a healthy work-life balance through our various wellbeing programs. Based on this role’s business requirements, this is an onsite position requiring 5 days a week in a client office in Atlanta, Georgia.

The working arrangements for this role are accurate as of the date of posting. This may change based on the project you’re engaged in, as well as business and client requirements. Rest assured; we will always be clear about role expectations.

What You Need to Have to Be Considered
  • 3 to 6 years of software or data engineering background.
  • Expert-level Python development skills with hands-on experience using data processing frameworks such as Pandas and PySpark.
  • Strong experience designing and implementing scalable data pipelines and data transformation solutions.
  • Deep knowledge of AWS cloud services, including Lambda, API Gateway, Kinesis, SQS, and EventBridge.
  • Experience building REST APIs, event-driven architectures, and enterprise integration solutions.
  • Strong understanding of software engineering best practices, testing methodologies, and CI/CD processes.
  • Experience working in agile development environments and collaborating across technical teams.
These Will Help You Stand Out
  • Experience with the Databricks platform and cloud-based analytics solutions.
  • Knowledge of large-scale distributed data processing and big data architectures.
  • Experience leveraging AI-assisted development tools to improve engineering productivity.
  • Familiarity with modern data integration patterns and serverless application design.
  • Strong communication and technical documentation skills.
Benefits:

Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:

  • Medical/Dental/Vision/Life Insurance.
  • Paid holidays plus Paid Time Off.
  • 401(k) plan and contributions.
  • Long-term/Short-term Disability.
  • Paid Parental Leave.
  • Employee Stock Purchase Plan.
Compensation

The annual salary for this position ranges from $100,000 to $114,000, depending on experience and qualifications. This role is also eligible for Cognizant’s discretionary annual incentive program, subject to performance and applicable plan terms.

Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.

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