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Entry Level Data Analyst Intern Jobs in Findlay, OH

2027 Intern - Technology

Bowling Green, OH · On-site

$14 - $18.75/hr

The internship program at FTI Consulting serves as a key pathway to entry-level consultant ... Business, Computer Forensics, Cybersecurity, Data Analytics, Data Science, Digital Forensics ...

2027 Intern - Technology

Bowling Green, OH · On-site

$14 - $18.75/hr

The internship program at FTI Consulting serves as a key pathway to entry-level consultant ... Business, Computer Forensics, Cybersecurity, Data Analytics, Data Science, Digital Forensics ...

The intern will assist in building, maintaining, and optimizing Power BI dashboards and reports ... Current junior, senior, or recent graduate in Computer Science, Data Analytics, Statistics ...

The intern will assist in building, maintaining, and optimizing Power BI dashboards and reports ... Current junior, senior, or recent graduate in Computer Science, Data Analytics, Statistics ...

Showing results 21-40

Entry Level Data Analyst Intern information

See Findlay, OH salary details

$11

$21

$39

How much do entry level data analyst intern jobs pay per hour?

As of Sep 8, 2026, the average hourly pay for entry level data analyst intern in Findlay, OH is $21.13, according to ZipRecruiter salary data. Most workers in this role earn between $16.25 and $23.03 per hour, depending on experience, location, and employer.

What does an entry level data analyst intern do?

An Entry Level Data Analyst Intern assists with collecting, cleaning, and analyzing data to help organizations make informed decisions. They typically work under the supervision of experienced data analysts, using tools like Excel, SQL, or Python to organize and visualize data. Interns may also help prepare reports and presentations, gaining hands-on experience with real-world datasets and learning essential analytical skills.

What are the key skills and qualifications needed to thrive as an entry level data analyst intern?

To thrive as an Entry Level Data Analyst Intern, you need foundational skills in statistics, data interpretation, and proficiency in Microsoft Excel, often supported by coursework or a degree in mathematics, statistics, or a related field. Familiarity with data visualization tools like Tableau, programming languages such as Python or R, and basic knowledge of SQL databases are commonly expected. Strong analytical thinking, attention to detail, and effective communication help you deliver clear insights and collaborate with team members. These skills ensure you can accurately gather, analyze, and present data to support decision-making within an organization.

What types of projects and tasks can I expect to work on as an entry level data analyst intern?

As an Entry Level Data Analyst Intern, you'll typically support the analytics team by cleaning and organizing raw data, assisting in generating reports, and creating basic visualizations using tools like Excel, Tableau, or Power BI. You may also help with data validation, conduct exploratory data analysis, and participate in team meetings to discuss findings. This hands-on experience will give you exposure to real-world datasets and allow you to collaborate closely with experienced analysts and business stakeholders, helping you build foundational skills for a data-driven career.

What is the difference between Entry Level Data Analyst Intern vs Data Analyst?

AspectEntry Level Data Analyst InternData Analyst
Required CredentialsTypically pursuing or recent graduate with a degree in data science, statistics, or related fieldBachelor's degree in data-related field; some roles prefer or require additional certifications or experience
Work EnvironmentInternship setting, often part-time or temporary, in corporate or tech companiesFull-time professional role in various industries, including finance, healthcare, and tech
Employer & Industry UsageUsed by companies for entry-level training and talent pipelineEstablished role for analyzing data, generating reports, and supporting decision-making

The main difference is that an Entry Level Data Analyst Intern is a temporary, learning-focused position often held by students or recent graduates, while a Data Analyst is a full-time professional role requiring more experience and responsibility. Internships serve as a stepping stone into the data analysis career path, whereas Data Analysts are expected to independently handle data projects and contribute to organizational goals.

What cities near Findlay, OH are hiring for Entry Level Data Analyst Intern jobs?

Cities near Findlay, OH with the most Entry Level Data Analyst Intern job openings:

Infographic showing various Entry Level Data Analyst Intern job openings in Findlay, OH as of August 2026, with employment types broken down into 40% Internship, and 60% Full Time. Highlights an 100% In-person job distribution, with an average salary of $43,957 per year, or $21.1 per hour.

Summer 2027 Internship - RWE Data Scientist - Virtual

Stryker

Bowling Green, OH • On-site

$35/hr

Other

Posted 6 days ago


Stryker rating

8.2

Company rating: 8.2 out of 10

Based on 112 frontline employees who took The Breakroom Quiz

136th of 499 rated machine equipment manufacturers


Job description

What You Get Out of the Internship

At Stryker, we believe that developing the next generation of talent is just as important as developing life-changing medical technologies. As an intern, you won’t just observe — you’ll contribute to meaningful projects, gain exposure to leaders who will mentor you, and experience a culture of innovation and teamwork that is shaping the future of healthcare. As an intern, you will:

  • Apply classroom knowledge and gain experience in a fast-paced and growing industry setting
  • Implement new ideas, be constantly challenged, and develop your skills
  • Network with key/high-level stakeholders and leaders of the business
  • Be a part of an innovative team and culture
  • Experience documenting complex processes and presenting them in a clear format

Who We Want

Challengers. People who seek out the hard projects and work to find just the right solutions.

Teammates. Partners who listen to ideas, share thoughts and work together to move the business forward.

Charismatic networkers. Relationship-savvy people who intentionally make connections with both internal partners and external contacts.

Strategic thinkers. Interns who propose innovative ideas and consistently exceed their performance objectives.

Customer-oriented achievers. Individuals with an unparalleled work ethic and customer-focused attitude who bring value to their partnerships.

Game changers. Persistent interns who will stop at nothing to live out Stryker’s mission to make healthcare better.

Opportunities Available

As a Real-World Evidence Data Science intern at Stryker, you will:

  • Work cross functionally with different departments including Clinical Affairs, Health Economics & Outcomes Research (HEOR), Regulatory Affairs, and Marketing to support real-world evidence generation programs
  • Assist in the design and execution of observational studies using claims (e.g., Premier PINC AI, NIS) and other real-world data sources
  • Support data extraction, cleaning, and analysis of structured and unstructured healthcare data, including applying NLP techniques to unstructured billing/clinical data
  • Prepare literature review summaries and evidence syntheses to support publication and regulatory submission efforts
  • Build and refine statistical models (e.g., propensity matching, survival analysis) under the mentorship of the RWE Research team
  • Shadow cross-functional team meetings to gain exposure to how RWE informs regulatory, reimbursement, and commercial strategy

What You Need

Required:

  • Currently pursuing a Master’s degree in Biostatistics, Epidemiology, Health Services Research, Health Economics and Outcomes Research (HEOR), Health/Biomedical Informatics, Data Science, or a related quantitative field; must remain enrolled in a degree-seeking program after the internship
  • Cumulative 3.0 GPA or above (verified at time of hire)
  • Must be legally authorized to work in the U.S. and not require employment-based sponsorship now or in the future
  • Proficiency in SQL and at least one statistical/analytical programming language (Python or R)
  • Coursework or applied project experience with observational/real-world data (claims, EHR, or registry data)
  • Strong written and verbal communication skills, with proven ability to collaborate and build relationships
  • Demonstrated leadership, problem-solving, and organizational skills with the ability to manage multiple priorities
  • Proficiency in Microsoft Office (Excel, Word, PowerPoint) and eagerness to learn in a dynamic environment

Preferred:

  • Prior exposure to claims databases (Medicare, MarketScan, Premier PINC AI, Optum) or EHR data structures
  • Familiarity with causal inference methods (propensity score matching, instrumental variables) and/or survival analysis
  • Experience with NLP applied to unstructured healthcare text
  • Prior coursework, thesis, or practicum work in a medtech, pharma, or payer setting

$20 min hourly wage – $35 max hourly wage, sign-on bonus, 11 paid holidays annually, and either paid corporate housing or a living stipend, dependent upon hiring location

Stryker is a global leader in medical technologies and, together with its customers, is driven to make healthcare better. The company offers innovative products and services in MedSurg, Neurotechnology, Orthopaedics and Spine that help improve patient and healthcare outcomes. Alongside its customers around the world, Stryker impacts more than 150 million patients annually.


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