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Internship Fbi Data Analyst Jobs in Colorado (NOW HIRING)

Senior Data Analyst

Denver, CO · On-site

$78 - $129/hr

This role combines analytics, business intelligence, and data engineering capabilities to support ... internship programs, and more. We offer employee resource groups, volunteer paid time off, employee ...

New

$35/hr

Support data extraction, cleaning, and analysis of structured and unstructured healthcare data ... the internship * Cumulative 3.0 GPA or above (verified at time of hire) * Must be legally ...

New

$35/hr

Support data extraction, cleaning, and analysis of structured and unstructured healthcare data ... the internship * Cumulative 3.0 GPA or above (verified at time of hire) * Must be legally ...

New

$35/hr

Support data extraction, cleaning, and analysis of structured and unstructured healthcare data ... the internship * Cumulative 3.0 GPA or above (verified at time of hire) * Must be legally ...

New

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Internship Fbi Data Analyst information

What is an internship FBI data analyst?

Internship FBI Data Analysts are students or recent graduates who work within the Federal Bureau of Investigation to support data-driven projects and investigations. These interns assist in collecting, analyzing, and interpreting large datasets to identify trends, patterns, or anomalies that support criminal investigations or intelligence operations. The internship provides hands-on experience with analytical tools, exposure to real-world law enforcement challenges, and insight into the FBI's mission and operations. Interns may work alongside seasoned analysts and agents, contributing to casework and special projects while developing valuable technical and professional skills.

What types of projects might an internship FBI data analyst work on during their internship?

As an FBI Data Analyst intern, you may work on projects that involve collecting, cleaning, and analyzing large datasets to support ongoing investigations or intelligence operations. Typical tasks can include assisting with database management, preparing visualizations for reports, and helping identify patterns or trends in crime data. Interns often collaborate closely with experienced analysts and agents, gaining exposure to real-world law enforcement challenges and analytical techniques. This hands-on experience provides insights into the day-to-day workflow and prepares interns for a potential full-time role in federal data analysis.

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

To thrive as an Internship FBI Data Analyst, you need strong analytical skills, attention to detail, and a background in statistics, computer science, or criminal justice, often supported by enrollment in or completion of a relevant degree program. Familiarity with data analysis tools such as Excel, SQL, Python, and specialized law enforcement databases is typically expected. Exceptional problem-solving abilities, discretion, and effective communication are important soft skills for working with sensitive information and collaborating on investigations. These competencies are essential for accurately interpreting data, supporting casework, and contributing to the FBI's mission of public safety.

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

AspectInternship Fbi Data AnalystData Analyst
Required CredentialsTypically pursuing or recent graduate, some security clearanceBachelor's degree in related field, no security clearance usually
Work EnvironmentFBI offices, secure facilities, government settingCorporate offices, various industries, less security restrictions
Employer & Industry UsageFederal government, law enforcementPrivate sector, finance, healthcare, tech
Search & Comparison IntentUnderstanding internship roles in government agenciesGeneral data analysis career options

In summary, an Internship Fbi Data Analyst is a government internship focused on law enforcement data analysis, often requiring security clearance and working within the FBI environment. A Data Analyst typically works in the private sector with broader industry applications and fewer security restrictions. Both roles involve data interpretation but differ significantly in credentials, environment, and employer context.

How hard is it to get an internship with the FBI?

Securing an FBI Data Analyst internship is competitive and typically requires strong academic performance, relevant skills in data analysis and cybersecurity, and prior experience or coursework in related fields. Applicants often undergo a rigorous selection process including background checks, interviews, and security clearance requirements.

How much do FBI data analysts make?

FBI data analysts typically earn between $60,000 and $100,000 annually, depending on experience, education, and location. Entry-level analysts may start at lower salaries, while experienced professionals with specialized skills or certifications can earn higher compensation. Salary ranges are influenced by government pay scales and security clearance requirements.

What are the most commonly searched types of Fbi Data Analyst jobs in Colorado?

The most popular types of Fbi Data Analyst jobs in Colorado are:

What cities in Colorado are hiring for Internship Fbi Data Analyst jobs?

Cities in Colorado with the most Internship Fbi Data Analyst job openings:

Infographic showing various Internship Fbi Data Analyst job openings in Colorado as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 9% Part Time, and 8% Contract. Highlights an 81% Physical, 3% Hybrid, and 16% Remote job distribution.

Senior Data Analyst

Bio-Techne Corp.

Denver, CO • On-site

$78 - $129/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 3 days ago

New


Bio-Techne rating

8.4

Company rating: 8.4 out of 10

Based on 15 frontline employees who took The Breakroom Quiz


Job description

By joining Bio-Techne, you’ll join a company with a powerful and positive purpose of enabling cutting-edge research in Life Sciences and Clinical Diagnostics. Bio-Techne, and all of its brands, provides tools for researchers to further treat and prevent disease worldwide.

Pay Range: $78,100.00 - $128,500.00

Job Description

The Analytics Engineer serves as the bridge between business stakeholders and enterprise data platforms, transforming complex data into scalable solutions, trusted reporting, and actionable insights. This role combines analytics, business intelligence, and data engineering capabilities to support decision-making across Marketing, Customer Service, Commercial, and Business teams. The position is responsible for partnering with stakeholders to define KPIs, improve business processes, and drive measurable outcomes through data, then designing and maintaining those data pipelines, reporting frameworks, and analytics solutions.

Key Responsibilities
  • Develop Advanced Analytics Solutions: Design and build dynamic, multi-layered reports and dashboards in Power BI, SQL-based data transformations, and reporting layers to provide deep insights into marketing, commercial, and business KPIs.
  • Strategic Data Analysis & Business Insights: Analyze large and complex datasets to identify trends, inefficiencies, and root causes of operational challenges. Translate findings into strategic recommendations that drive business improvements and cost reductions.
  • Data-Driven Decision Support: Collaborate closely with stakeholders in marketing, business partners, and commercial teams planning to align analytical efforts with business objectives. Provide actionable insights to executive leadership and decision-makers.
  • Data Engineering & Platform Optimization: Design, develop, and maintain scalable datasets, data models with SQL/Python, ETL/ELT processes, and enterprise reporting solutions. Support analytics platform modernization initiatives, including migration, implementation, optimization, and integration of enterprise data platforms.
  • Automation & Scalability: Develop and implement automated data pipelines and reporting solutions that reduce manual effort and improve data accuracy, consistency, and accessibility.
  • Stakeholder Communication & Business Partnership: Serve as a trusted advisor to business partners, defining requirements for business questions, effectively communicating complex data findings in a clear and actionable manner. Foster a data-driven culture across teams.
  • Continuous Improvement & Adaptability: Establish a feedback loop for refining analytics models, ensuring insights remain relevant to evolving business needs and industry trends.
  • Data Integrity & Governance: Troubleshoot data-related issues, ensuring high levels of accuracy, integrity, and consistency across all reports and analyses. Work proactively to enhance data quality and governance frameworks.
  • Predictive & Prescriptive Analytics: Utilize statistical modeling and forecasting techniques to drive proactive decision-making.
  • Project Leadership: Lead and manage high-impact analytics initiatives, ensuring timely delivery and alignment with organizational goals.
Qualifications & Skills
  • Bachelor’s degree in a relevant field and 5+ years of experience in data analytics, with a strong background in operations and supply chain.
  • SQL: 5+ years experience
  • Python: 3+ years experience
  • Power BI/Tableau: 5+ years experience
  • Advanced proficiency in Power BI, SQL, and Excel, with experience in automation and scripting.
  • Strong experience with data modeling, ETL/ELT processes, data pipelines, system integrations, and cloud-based analytics platforms.
  • Strong understanding of financial and marketing metrics and how they influence business performance.
  • Experience with predictive modeling, regression analysis, and correlation techniques.
  • Ability to distinguish signal from noise in complex datasets, providing clear insights for leadership.
  • Proven track record of developing scalable, long-term analytical solutions.
  • Strong project management skills with the ability to lead and execute initiatives.
  • Excellent communication and storytelling skills, with the ability to present complex data in a clear and compelling manner.
  • Experience working with Databricks is a plus.
Why Join Bio-Techne

We offer competitive insurance benefits starting on day one: medical, dental, vision, life, short-term disability, long-term disability, pet, and legal and ID shield.

We invest in our employees’ financial futures through 401k plans, an employee stock purchase plan (ESPP), Health Saving Account (HSA), Flexible Spending Account (FSA), and Dependent Care FSA.

We empower our employees develop their careers through mentorship, promotional opportunities, training and development, tuition reimbursement, internship programs, and more.

We offer employee resource groups, volunteer paid time off, employee events, and charity drives to build a culture of caring and belonging.

We offer an accrued leave policy with paid holidays, paid time off, and paid parental leave.

We foster a culture of empowerment and innovation, where employees feel valued and encouraged to bring their new ideas to the table.

Bio-Techne is an E-Verify Employer in the United States.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

To protect the interests of all, Bio-Techne will not accept unsolicited resumes from any source other than a candidate application. Any unsolicited resumes sent to Bio-Techne will be considered Bio-Techne property.

This position requires work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States (e.g., H1-B visa, F-1 visa (OPT), TN visa or any other non-immigrant work status).

If you require a reasonable accommodation to complete an application, participate in an interview, or take part in any other stage of the recruitment process, please contact hr@bio-techne.com for assistance.

Bio-Techne empowers researchers in Life Science and Clinical Diagnostics by providing high-quality reagents, instruments, custom manufacturing, and testing services. Our family of brands creates a unique portfolio of products and services. Science is our passion; it drives us to collaborate, develop, and manufacture award-winning tools that help researchers achieve reproducible and consistent results.

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