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Internship Biotech Data Analyst Jobs in Decatur, GA

Create SQL queries to retrieve, validate, and analyze business data. * Assist with Microsoft Fabric ... Academic, internship, personal, or professional projects using Power BI. * Basic understanding of ...

Create SQL queries to retrieve, validate, and analyze business data.Assist with Microsoft Fabric ... PREFERRED QUALIFICATIONSAcademic, internship, personal, or professional projects using Power BI.

This 12-week Internship Program (May 18-Aug 7, 2026) is a gateway to full-time career paths for ... Graduate students obtaining a Master's degree in Data Science, Statistics, Analytics, Mathematics ...

As a Data Protection Senior Analyst, you'll support the delivery of data protection, data ... Prior internship, academic project, or entry-level experience in security or compliance is a plus.

Digital Analyst Internships

Atlanta, GA ยท On-site

$94K - $112K/yr

By submitting your interest, you'll be among the first to know when internship opportunities open ... About Digital Analyst Roles at Danaher Are you passionate about data, customer experience, and ...

Data Scientist

Atlanta, GA ยท On-site

$95 - $110/hr

What You Will Bring: * 0-2 years of experience in data science, analytics, machine learning, or a related field, including internships, research, senior projects, or meaningful independent projects.

Digital Analyst Internships

Kennesaw, GA ยท On-site

$91K - $107K/yr

By submitting your interest, you'll be among the first to know when internship opportunities open ... About Digital Analyst Roles at Danaher Are you passionate about data, customer experience, and ...

Master Data Management Engineer

Atlanta, GA ยท On-site

$110K - $132K/yr

... and interns in close coordination with team Managers and Directors QUALIFICATIONS (REQUIRED AND PREFERRED) * 5-10 years of experience in progressive data analyst and engineering roles * Strong ...

Data Scientist

Atlanta, GA ยท Remote

$95K - $110K/yr

What You Will Bring: * 0-2 years of experience in data science, analytics, machine learning, or a related field, including internships, research, senior projects, or meaningful independent projects.

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Internship Biotech Data Analyst information

See Decatur, GA salary details

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How much do internship biotech data analyst jobs pay per hour?

As of Aug 18, 2026, the average hourly pay for internship biotech data analyst in Decatur, GA is $21.97, according to ZipRecruiter salary data. Most workers in this role earn between $16.88 and $23.94 per hour, depending on experience, location, and employer.

What does an internship biotech data analyst do?

An Internship Biotech Data Analyst supports research and development teams in biotechnology companies by collecting, processing, and analyzing complex biological data. They use statistical tools and software to interpret experimental results, identify trends, and help drive decision-making in projects such as drug discovery, genomics, or clinical trials. Interns often work alongside experienced data analysts and scientists, gaining hands-on experience with real-world datasets and contributing to ongoing research efforts.

What types of projects or data sets might I work with as an internship biotech data analyst?

As an Internship Biotech Data Analyst, you can expect to work with real-world biological or clinical data, such as genomic sequences, protein structures, or patient trial results. Projects often involve cleaning, analyzing, and visualizing these datasets to support research or product development. You'll likely collaborate closely with scientists, senior analysts, and sometimes software engineers to interpret findings and present actionable insights. This hands-on experience not only strengthens your technical skills but also helps you understand how data analysis drives innovation in the biotech industry.

What are the key skills and qualifications needed to thrive as an internship biotech data analyst, and why are they important?

To thrive as an Internship Biotech Data Analyst, you need a foundation in biology or biotechnology, statistical analysis, and data interpretation, typically gained through coursework or relevant internships. Familiarity with data analysis tools such as Python, R, Excel, and experience with bioinformatics databases or platforms like BLAST is highly beneficial. Strong attention to detail, problem-solving abilities, and effective communication skills make candidates stand out in this role. These competencies are crucial for accurately analyzing complex biological data, supporting research projects, and conveying findings to multidisciplinary teams.

What is the difference between Internship Biotech Data Analyst vs Biotech Data Scientist?

AspectInternship Biotech Data AnalystBiotech Data Scientist
Required CredentialsEnrolled in or recent graduate of related degree (e.g., biology, bioinformatics, data analysis)Advanced degree (Master's or PhD) in data science, bioinformatics, or related fields
Work EnvironmentInternship setting in biotech or pharmaceutical companies, labs, or research institutionsFull-time role in biotech firms, research centers, or biotech startups
Employer & Industry UsageUsed for entry-level training, skill development, and gaining industry experienceUsed for advanced data analysis, modeling, and research projects

The Internship Biotech Data Analyst is an entry-level position focused on gaining practical experience in biotech data analysis, often requiring relevant coursework or a recent degree. In contrast, a Biotech Data Scientist typically holds advanced degrees and performs complex data modeling and research tasks. The internship provides foundational skills, while the data scientist role involves more specialized expertise and responsibilities.

Can a biotechnology student become a data analyst?

Yes, a biotechnology student can become a data analyst by developing skills in data management, statistical analysis, and tools like Excel, SQL, or Python. Gaining knowledge of data visualization and relevant industry applications can also improve job prospects in biotech data analysis roles.

How do I get an internship at a biotech data analyst?

To secure an internship as a biotech data analyst, candidates should have a strong background in biology, data analysis, and programming languages like Python or R. Gaining experience through relevant coursework, certifications, or projects, and applying to internships via company websites or job portals, can improve chances. Strong analytical skills and familiarity with biotech databases and tools are also beneficial.

What are popular job titles related to Internship Biotech Data Analyst jobs in Decatur, GA?

For Internship Biotech Data Analyst jobs in Decatur, GA, the most frequently searched job titles are:

What cities near Decatur, GA are hiring for Internship Biotech Data Analyst jobs?

Cities near Decatur, GA with the most Internship Biotech Data Analyst job openings:

Infographic showing various Internship Biotech Data Analyst job openings in Decatur, GA as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $45,701 per year, or $22 per hour.

Data Analyst Jr.

Ole Mexican Foods Inc

Norcross, GA โ€ข On-site

Full-time

Posted 22 days ago


Job description

BUSINESS INTELLIGENCE ANALYST

ABOUT OLÉ MEXICAN FOODS

Olé Mexican Foods is one of the largest tortilla manufacturers in the United States, serving retail and foodservice customers nationwide for more than 35 years. Headquartered in Norcross, Georgia, Olé continues to grow through innovation, operational excellence, and data-driven decision-making.

Our Enterprise Technology & Analytics department supports manufacturing, distribution, sales, warehouse operations, and executive leadership by delivering modern Business Intelligence solutions using Microsoft's analytics platform.

POSITION SUMMARY

Olé Mexican Foods is seeking a motivated BUSINESS INTELLIGENCE ANALYST to join our Business Intelligence team.

This position is ideal for an early-career professional who enjoys solving business problems with data and wants to build a career in Data Analyst and Analytics. The successful candidate will assist in developing reports, dashboards, and analytical solutions using Microsoft Power BI while gaining hands-on experience with Microsoft Fabric and enterprise data platforms.

This position will work closely with the Business Intelligence team to support reporting, analytics, and continuous improvement initiatives across the organization.

This role provides an excellent opportunity to work with real-world manufacturing, supply chain, logistics, and sales data while learning from experienced Business Intelligence professionals.

Reports To: Business Intelligence Supervisor

Department: Enterprise Technology & Analytics

PRIMARY RESPONSIBILITIES

  • Develop and maintain Power BI dashboards and reports.
  • Support the design, enhancement, and maintenance of business reporting solutions.
  • Create SQL queries to retrieve, validate, and analyze business data.
  • Assist with Microsoft Fabric datasets, semantic models, and reporting solutions.
  • Validate data accuracy and investigate data quality issues.
  • Build meaningful visualizations that help business leaders make informed decisions.
  • Gather reporting requirements from business users and translate them into reporting solutions.
  • Document reports, datasets, and business processes.
  • Troubleshoot existing reports and assist with ongoing enhancements.
  • Participate in Business Intelligence and analytics projects across multiple departments.

REQUIRED QUALIFICATIONS

Education

  • Associate or bachelor's degree in business Analytics, Information Systems, Computer Science, Data Analytics, Engineering, Mathematics, or a related field.
  • Equivalent practical experience will also be considered.

Technical Skills

  • Working knowledge of Microsoft Power BI.
  • Basic to intermediate SQL skills.
  • Strong Microsoft Excel skills.
  • Understanding of data analysis concepts.
  • Familiarity with Power Query is preferred.
  • Exposure to Microsoft Fabric is preferred but not required.

Professional Skills

  • Strong analytical and problem-solving abilities.
  • Excellent attention to detail.
  • Strong written and verbal communication skills.
  • Ability to learn new technologies quickly.
  • Ability to work both independently and as part of a collaborative team.
  • Strong organizational and time-management skills.

PREFERRED QUALIFICATIONS

  • Academic, internship, personal, or professional projects using Power BI.
  • Basic understanding of DAX.
  • Familiarity with relational databases.
  • Exposure to Microsoft Fabric, Azure, or other cloud analytics platforms.
  • Knowledge of Git or version control is a plus.
  • Experience in manufacturing, distribution, logistics, ERP, or supply chain environments is a plus.

WHAT WILL MAKE YOU SUCCESSFUL

  • You enjoy solving business problems using data.
  • You are naturally curious and eager to learn new technologies.
  • You take ownership of your work and pay close attention to detail.
  • You communicate effectively with both technical and business users.
  • You continuously look for opportunities to improve reports, processes, and business insights.
  • You are excited to grow your career in Business Intelligence, Analytics, and Microsoft Fabric.

WHY JOIN OLÉ MEXICAN FOODS

  • Work with enterprise-scale manufacturing, distribution, and sales data.
  • Gain hands-on experience with Microsoft Power BI and Microsoft Fabric.
  • Learn from experienced Business Intelligence professionals.
  • Build solutions that directly support business operations across the United States.
  • Enjoy opportunities for professional growth into Business Intelligence, Analytics, and Data Engineering.

IDEAL CANDIDATE

We are looking for someone with a strong analytical foundation and a willingness to learn. Whether your experience comes from school, internships, certifications, personal projects, or early professional experience, we value curiosity, initiative, problem-solving ability, and the desire to build a long-term career in Business Intelligence.

Candidates are encouraged to include examples of Power BI dashboards, reports, GitHub repositories, Microsoft Learn projects, or other analytics work that demonstrates their technical abilities. Academic and personal projects are welcome and will be considered during the evaluation process.