PR · On-site
$16.25 - $21.25/hr
Analytics Engineering Intern Position Summary At On Point Strategy , we believe that data tells a ... Interest in AI, machine learning, or intelligent automation. Why Join Us * Gain hands-on experience ...
Quick apply
PR · On-site
$16.25 - $21.25/hr
Analytics Engineering Intern Position Summary At On Point Strategy , we believe that data tells a ... Interest in AI, machine learning, or intelligent automation. Why Join Us * Gain hands-on experience ...
PR · On-site
$15 - $19.50/hr
Work on the floor to make a next-generation, AI-driven module line run faster, cleaner, and to spec ... Analyze yield, throughput, and downtime data and propose improvements. * Help develop standard work ...
Quick apply
PR · On-site
$15 - $19.50/hr
Work on the floor to make a next-generation, AI-driven module line run faster, cleaner, and to spec ... Analyze yield, throughput, and downtime data and propose improvements. * Help develop standard work ...
Ai Analyst Intern information
What is the difference between Ai Analyst Intern vs Data Analyst Intern?
| Aspect | Ai Analyst Intern | Data Analyst Intern |
|---|---|---|
| Required Credentials | Basic knowledge of AI, machine learning, programming (Python, R) | Statistical skills, Excel, SQL, data visualization |
| Work Environment | Tech companies, startups, research labs | Business, finance, healthcare sectors |
| Industry Usage | AI-focused projects, machine learning models | Data processing, reporting, insights generation |
Both roles often require foundational programming and analytical skills, but Ai Analyst Interns focus more on AI and machine learning projects, while Data Analyst Interns concentrate on data analysis and visualization. The choice depends on your interest in AI technologies versus general data analysis tasks.
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$16.25 - $21.25/hr
Internship
Posted yesterday
Job description
Analytics Engineering Intern
Position Summary
At On Point Strategy, we believe that data tells a story, and we make that story visible.
We 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.
Technical Requirements
- 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.
Professional Qualifications
- 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.
Preferred Qualifications
- Experience with Python libraries such as Pandas and NumPy, and familiarity with writing scripts for data processing or automation.
- Experience building academic or personal projects involving data pipelines, dashboards, or automation.
- Familiarity with GitHub, 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.
Why Join Us
- Gain hands-on experience working on real business and analytics projects.
- Receive mentorship and hands-on exposure to real-world analytics and automation projects.
- Learn from a multidisciplinary team that combines strategy, analytics, and creativity.
- Develop technical and professional skills in a collaborative environment.
- Opportunity for growth and future career opportunities within the organization.
Additional Information
- Candidates are encouraged to share academic, personal, or GitHub projects related to analytics, automation, programming, or data visualization.