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Intern Python Data Analyst Jobs in Missouri (NOW HIRING)

Siemens

$18 - $50/hr

The intern will help create and manage engineering datasets, investigate AI-assisted workflows, and ... Experience with Python, data analytics, machine learning, or AI technologies. * Familiarity with ...

Siemens

$18 - $50/hr

The intern will help create and manage engineering datasets, investigate AI-assisted workflows, and ... Experience with Python, data analytics, machine learning, or AI technologies. * Familiarity with ...

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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 Missouri?

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

What cities in Missouri are hiring for Intern Python Data Analyst jobs?

Cities in Missouri with the most Intern Python Data Analyst job openings:

Intern Python Data Analyst jobs near you

Senior Data Analyst in St. Louis, MO

Saint Louis, MO • On-site

Accenture Federal Services
IT Services • 10K+ employees
Learn more about Accenture Federal Servicesexternal

$83K - $105K/yr

Full-time

Re-posted 24 days ago

Accenture Federal Services rating

8.7

Company rating: 8.7 out of 10

Based on 20 frontline employees who took The Breakroom Quiz

Job description

The Work: 

The Senior Data Analyst plays a critical role in the application migration team by leveraging data to drive informed decision-making throughout the migration process. This position is responsible for compiling and analyzing complex datasets, maintaining comprehensive reports, and presenting actionable insights to stakeholders. The Senior Data Analyst works within Agile frameworks to support the team's data-driven approach to application assessment, migration planning, and post-migration evaluation.

Key Responsibilities

  • Collect and consolidate data from various sources related to application performance, usage, and migration progress
  • Ensure data quality, integrity, and consistency across all datasets
  • Conduct in-depth analysis of application data to identify patterns, trends, and potential issues
  • Perform statistical analysis to support decision-making in the migration process
  • Design and create comprehensive reports on various aspects of the migration project
  • Develop dashboards and visualizations to effectively communicate complex data insights
  • Maintain and update regular reports on migration progress, performance metrics, and KPIs
  • Create compelling visual representations of data findings using tools like Tableau, Power BI, or similar
  • Present data-driven insights and recommendations to technical and non-technical stakeholders
  • Develop and deliver presentations on migration analytics to various levels of the organization
  • Conduct pre- and post-migration comparisons to evaluate the success of migration efforts
  • Provide data-driven insights to support decision-making at all levels of the project
  • Define and track key performance indicators (KPIs) for the migration project
  • Develop metrics to measure the success and efficiency of the migration process
  • Create and maintain scorecards to track progress against project goals
  • Participate in Agile ceremonies (Sprint Planning, Daily Stand-ups, Sprint Reviews, and Retrospectives)
  • Collaborate with Product Owners to define and refine data-related user stories

Requirements:

  • Bachelors degree and minimum 5 years experience
  • Secret Security Clerance required
  • Demonstrated experience working with business stakeholders to understand business process, pain points, and insights that will deliver greatest value to the mission
  • Building and maintaining visualizations and dashboards in enterprise Business Intelligence tools (such as Tableau, PowerBI, Qlik, Microstrategy) or custom coding (D3, React, CSS)
  • Performing complex data pre-processing (joins, unions, aggregations) using tools and languages like SQL, R, or Python

#c"" "You must live local to St. Louis, MO OR be willing to travel to St. Louis every week Monday-Thursday"

What Accenture Federal Services employees say

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