PR · On-site
$16.25 - $21.25/hr
Analytics Engineering Intern Position Summary At On Point Strategy , we believe that data tells a ... operational efficiency. * Work with structured and unstructured data to support analytics and ...
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PR · On-site
$16.25 - $21.25/hr
Analytics Engineering Intern Position Summary At On Point Strategy , we believe that data tells a ... operational efficiency. * Work with structured and unstructured data to support analytics and ...
Intern Operational Efficiency information
What is the difference between Intern Operational Efficiency vs Intern Supply Chain?
| Aspect | Intern Operational Efficiency | Intern Supply Chain |
|---|---|---|
| Primary Focus | Optimizing internal processes and workflows | Managing and coordinating supply chain activities |
| Skills Required | Process analysis, data analysis, problem-solving | Logistics, inventory management, communication |
| Work Environment | Office settings, cross-department collaboration | Warehouses, suppliers, logistics networks |
| Common Industry Usage | Manufacturing, tech, services | Retail, manufacturing, distribution |
Intern Operational Efficiency focuses on improving internal processes to enhance productivity, while Intern Supply Chain involves managing external logistics and procurement. Both roles require analytical skills but differ in scope and environment, catering to different aspects of business operations.
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$16.25 - $21.25/hr
Internship
Posted 3 days ago
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.