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Internship Cancer Data Analyst Jobs in Missouri (NOW HIRING)

$65K - $112K/yr

Performs data analysis and/or data management using the latest and best methodologies as implemented in statistical packages (SAS) including generation of tables and graphs. * Advises and assists ...

... internship * At least 6 months experience or academic work using open source programming languages for data analysis * At least 6 months of experience or academic work using machine learning ...

$22 - $24/hr

... or Data Analyst for Siemens. What is the FLDP Internship: The Finance Internship is a 12-week ... summer internship program that allows the opportunity to experience the day-to-day functions of a ...

$22 - $24/hr

... or Data Analyst for Siemens. What is the FLDP Internship: The Finance Internship is a 12-week ... summer internship program that allows the opportunity to experience the day-to-day functions of a ...

$22 - $24/hr

... or Data Analyst for Siemens. What is the FLDP Internship: The Finance Internship is a 12-week ... summer internship program that allows the opportunity to experience the day-to-day functions of a ...

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Internship Cancer Data Analyst information

What is an internship cancer data analyst?

Internship Cancer Data Analysts are students or recent graduates who assist with collecting, organizing, and analyzing data related to cancer research and treatment. They typically work with large datasets to identify trends, generate reports, and support ongoing research projects under the supervision of experienced analysts or researchers. These internships provide hands-on experience with statistical software, data management, and contribute to advancements in cancer care by helping transform raw data into meaningful insights.

What are the key skills and qualifications needed to thrive as an internship cancer data analyst?

To thrive as an Internship Cancer Data Analyst, a strong background in statistics, data analysis, and health sciences—often supported by coursework or a degree in biostatistics, epidemiology, or a related field—is essential. Familiarity with data analysis tools such as R, Python, and SQL, as well as experience with healthcare databases and data visualization platforms, is typically required. Attention to detail, problem-solving ability, and effective communication are crucial soft skills for analyzing complex datasets and presenting findings clearly. These competencies are vital for accurately interpreting cancer data, supporting research, and contributing to data-driven healthcare decisions.

What types of projects or datasets might I work with as an internship cancer data analyst, and how is my work typically supervised?

As an Internship Cancer Data Analyst, you will often assist with projects involving large-scale cancer registries, clinical trials data, or genomic datasets. Your tasks may include data cleaning, statistical analysis, and generating visualizations to support ongoing research. Interns usually work closely with senior analysts, biostatisticians, and researchers, receiving guidance through regular check-ins and feedback sessions. This collaborative, supervised environment is designed to help you build technical skills while contributing meaningful insights to cancer research.

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

AspectInternship Cancer Data AnalystCancer Data Analyst
Required CredentialsTypically pursuing or recently completed a relevant degree (e.g., biology, data science)Bachelor's or master's degree in related field, with some experience
Work EnvironmentInternship programs, often in research institutions or hospitalsFull-time role in healthcare, research, or biotech companies
Employer & Industry UsageEducational institutions, hospitals, research centersHealthcare providers, research organizations, biotech firms
Search & Comparison IntentEntry-level, learning-focused, temporary positionProfessional, ongoing role with responsibilities

The main difference is that an Internship Cancer Data Analyst is a temporary, entry-level position aimed at gaining experience, while a Cancer Data Analyst is a full-time professional role requiring more experience and responsibility in analyzing cancer-related data.

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

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

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

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

What cities in Missouri are hiring for Internship Cancer Data Analyst jobs?

Cities in Missouri with the most Internship Cancer Data Analyst job openings:

Data & Analytics Analyst

Endo International

Hazelwood, MO • On-site

Full-time

Posted 8 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.