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Data Automation Internship Jobs in Missouri (NOW HIRING)

Siemens

$22 - $24/hr

... electrification, automation, and digital powerhouse? Then come join the Finance Leadership ... Data Science or Management Information Systems preferred * Education: Current undergraduate student ...

New

Siemens

$22 - $24/hr

... electrification, automation, and digital powerhouse? Then come join the Finance Leadership ... Data Science or Management Information Systems preferred * Education: Current undergraduate student ...

New

Siemens

$22 - $24/hr

... electrification, automation, and digital powerhouse? Then come join the Finance Leadership ... Data Science or Management Information Systems preferred * Education: Current undergraduate student ...

New

Armaninollp

Data & AI Platform Engineer

Saint Louis, MO

$111K - $133K/yr

... and deployment automation from senior engineers. Job Responsibilities Platform Operations ... internships/co-ops count). * Minimum 1 year of representative accounting experience whether ...

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Data Automation Internship information

What is a data automation internship?

A Data Automation Internship is a temporary position, often for students or recent graduates, where you assist organizations in streamlining and automating data processes. Interns typically work with tools and programming languages like Python, SQL, or R to create scripts, workflows, or dashboards that reduce manual data handling. The internship provides hands-on experience with data management, automation tools, and process optimization, helping you develop practical skills for a career in data analysis or engineering. These roles often involve collaborating with data analysts, engineers, and other team members to identify opportunities for automation and improve data efficiency.

What are the key skills and qualifications needed to thrive as a data automation intern, and why are they important?

To thrive as a Data Automation Intern, you need a solid understanding of data analysis, programming (often Python, SQL), and basic knowledge of automation concepts, usually backed by coursework in computer science or a related field. Familiarity with data visualization tools, workflow automation platforms (like Alteryx or UiPath), and version control systems such as Git is typically expected. Strong analytical thinking, attention to detail, and effective communication skills help interns solve problems and collaborate on team projects. These abilities ensure efficient data processes, accurate results, and seamless integration with broader data initiatives.

What are some common challenges faced during a data automation internship, and how can interns effectively overcome them?

During a Data Automation Internship, common challenges include working with unfamiliar automation tools, ensuring data quality, and integrating automated workflows with existing systems. Interns can effectively overcome these by actively seeking guidance from team members, participating in code reviews, and dedicating time to learn the organization's preferred technologies. Regular communication with mentors and asking clarifying questions early helps resolve issues quickly and fosters a supportive learning environment.

What is the difference between Data Automation Internship vs Data Analyst?

AspectData Automation InternshipData Analyst
Required CredentialsTypically pursuing or recent graduate in Computer Science, Data Science, or related fieldsBachelor's degree in Statistics, Mathematics, or related fields; often requires some experience
Work EnvironmentInternship setting, often in tech or finance companies, focusing on automation projectsFull-time role in various industries, analyzing data to inform business decisions
Employer & Industry UsageUsed by companies developing automated data pipelines and toolsCommon in finance, marketing, healthcare, and other data-driven sectors

While a Data Automation Internship focuses on gaining hands-on experience in automating data processes, a Data Analyst is responsible for interpreting data, creating reports, and supporting decision-making. Internships are entry-level and temporary, whereas Data Analyst roles are more permanent and require a broader skill set.

What are popular job titles related to Data Automation Internship jobs in Missouri?

For Data Automation Internship jobs in Missouri, the most frequently searched job titles are:

What job categories do people searching Data Automation Internship jobs in Missouri look for?

The top searched job categories for Data Automation Internship jobs in Missouri are:

Data Automation Internship jobs near you

Data & Analytics Analyst

Endo International

Hazelwood, MO • On-site

Full-time

Posted 4 days ago

Job description

Why Us?
At Par Health, we believe great healthcare is built on getting the essentials right. We're looking for passionate, talented individuals who share our commitment to improving lives. With a global workforce, we lead with pride and purpose-prioritizing quality and safety while fostering a culture of continuous improvement, accountability, and teamwork. Elevating the Essentials isn't just our tagline, it's the higher standard we live by every day.
Job Description Summary
The Data & Analytics Associate supports the Data, Analytics & Automation Center of Excellence by assisting with reporting, dashboard development, data preparation, data quality activities, business analysis and automation initiatives. This role works closely with data engineers, analytics architects, BI developers and business stakeholders to help deliver trusted data products, analytics solutions and automation opportunities across the organization.
This is a developmental role intended to provide broad exposure to modern data platforms, Power BI, Microsoft Fabric, Power Platform and Microsoft Copilot technologies while building foundational technical, analytical and business skills.
Job Description
Data Analysis & Reporting
  • Assist in the development and maintenance of Power BI dashboards, reports and scorecards.
  • Create basic visualizations, KPI tracking reports and recurring analytics summaries.
  • Support business users in understanding available reports, datasets and data assets.
  • Validate report results and investigate apparent data discrepancies or unusual trends.
  • Perform ad hoc analysis to support business questions, operational reviews and decision-making.

Data Management & Quality
  • Support data cleansing, validation, profiling and quality improvement activities.
  • Assist with documenting data definitions, source systems, business rules and KPI calculations.
  • Help maintain metadata, data catalogs, dashboard inventories and data asset documentation.
  • Participate in testing datasets, pipelines, reports and data transformations prior to release.
  • Escalate data quality issues and support root-cause analysis with senior technical team members.

Automation & Process Improvement
  • Help identify opportunities for workflow improvement, report automation and manual-effort reduction.
  • Assist with development, testing and support of Power Automate flows and lightweight Power Platform solutions.
  • Support Power Apps and low-code tools used by business teams, under guidance from senior developers.
  • Document current-state processes, business requirements and success criteria for automation use cases.
  • Participate in user acceptance testing and post-deployment support for automation solutions.

Business Engagement & CoE Operations
  • Gather and document business requirements for reporting, analytics and automation requests.
  • Support the CoE intake process, request tracking, prioritization preparation and status reporting.
  • Assist with training materials, quick reference guides, knowledge articles and user communications.
  • Maintain solution documentation, meeting notes, action items and delivery artifacts.
  • Contribute to governance standards, templates and continuous improvement practices for the CoE.

Copilot and AI-Enabled Analytics Requirements
  • Demonstrated interest in Microsoft Copilot, generative AI and AI-enabled productivity tools.
  • Ability to use Microsoft 365 Copilot or comparable AI tools to improve documentation, analysis, meeting preparation, summarization and communication tasks.
  • Willingness to learn Power BI Copilot, Fabric Copilot, Copilot Studio and related Microsoft AI capabilities as the CoE matures.
  • Ability to validate AI-generated outputs against trusted data sources, documented definitions and business context before reuse or publication.
  • Ability to help business users understand effective prompting, responsible AI usage and appropriate limits of Copilot-generated insights.
  • Interest in supporting Copilot adoption by creating examples, quick tips, training materials and use-case documentation.

Education & Experience
• Bachelor's degree in Information Systems, Computer Science, Data Analytics, Business Analytics, Mathematics, Statistics, Engineering or a related field; equivalent education and experience may be considered.
• 0 to 3 years of experience in data analytics, reporting, business intelligence, information technology, business analysis or a related area. Internship or project experience is acceptable.
Knowledge
• Familiarity with Power BI or a comparable reporting/visualization tool.
• Basic understanding of databases, data relationships, reporting concepts and data quality principles.
• Demonstrated curiosity, attention to detail and willingness to learn new technical tools.
Skills & Abilities
  • Strong Excel skills, including formulas, tables, pivots and basic data analysis techniques.
  • Basic SQL experience or demonstrated ability to query and work with structured datasets.
  • Strong written and verbal communication skills with the ability to ask good questions and document findings clearly.

Disclaimer: The above statements are intended to describe the general nature and level of work performed by employees assigned to this job. They are not intended to be an exhaustive list of all duties, responsibilities, and qualifications. Management reserves the right to change or modify such duties as required.
EEO Statement:
We comply with all applicable federal, state, and local laws prohibiting discrimination and harassment, and provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, veteran status, or genetic information, or any other classification protected by federal, state or local law. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

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