More jobs:
Analytics Engineering Intern
Job in
Denver, Denver County, Colorado, 80285, USA
Listed on 2026-07-17
Listing for:
Five and Fly
Full Time, Apprenticeship/Internship
position Listed on 2026-07-17
Job specializations:
-
IT/Tech
Data Analyst, Data Engineering, Business Systems & Technology Analysis, AI Engineer (Applied/Software)
Job Description & How to Apply Below
Analytics Engineering Intern
Department: Analytics Engineering Intern
Employment Type: Full Time
Location: Remote
DescriptionWe are looking for an Analytics Engineering Intern who is eager to learn and passionate about transforming information into actionable insights. This role is ideal for students with curiosity for programming, process automation, and building scalable analytical solutions. As part of our Analytics team, you will collaborate with experienced professionals, contribute to real projects, and strengthen your technical and analytical skills in a dynamic environment.
Key Responsibilities- Support the development of automated data workflows and reporting processes.
- Assist in building scripts and tools using Python to improve operational efficiency.
- Work with structured and unstructured data to support analytics and automation initiatives.
- Collaborate on process optimization and automation projects across teams.
- Familiarity with Python for scripting, automation and/or data analysis.
- Basic knowledge of SQL and data querying concepts.
- Exposure to Power BI or visualization tools.
- Familiarity with APIs, automation tools, or workflow optimization concepts is a plus.
- Intermediate proficiency in Excel and data organization.
- Currently pursuing a Bachelor’s degree in Statistics, Engineering, Economics, Business Administration, Data Science, Computer Science, or related fields.
- Interest in data analysis, business intelligence, or analytics consulting.
- Strong analytical thinking and attention to detail.
- Good communication and collaboration skills.
- Ability to learn quickly and work in a team-oriented environment.
- Self-motivated, organized, and curious mindset.
- Experience with Python libraries such as Pandas and Num Py, and familiarity with writing scripts for data processing or automation.
- Experience building academic or personal projects involving data pipelines, dashboards, or automation.
- Familiarity with Git Hub, Git, or version control tools.
- Interest in building integrations, automations, or data workflows using APIs and scripting tools.
- Interest in AI, machine learning, or intelligent automation.
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