Home › Companies › B9cc4e90 2c7d 4ed4 B1ff E151bce5f7c3 19000101 000001 › Analytics Engineering Intern
Analytics Engineering Intern
B9cc4e90 2c7d 4ed4 B1ff E151bce5f7c3 19000101 000001 · Caguas, PR, US, Caguas, PR · Active · ADP Workforce Now Recruiting
Job facts
| Field | Value |
|---|---|
| Company | B9cc4e90 2c7d 4ed4 B1ff E151bce5f7c3 19000101 000001 |
| Title | Analytics Engineering Intern |
| Normalized title | - |
| Department / team | - |
| Location | Caguas, United States |
| Work model | - |
| Employment type | - |
| Salary | - |
| Status | active |
| ATS provider | ADP Workforce Now Recruiting |
| Posted / first seen | 2026-05-27 / 2026-05-31 |
| Changed / last seen | 2026-06-06 / 2026-06-06 |
Related slices
| Page | What it contains | Open |
|---|---|---|
| Company jobs | Active postings from B9cc4e90 2c7d 4ed4 B1ff E151bce5f7c3 19000101 000001. | Open |
| Company breakdowns | Role, location, ATS, and work model facets for this company. | Open |
| ATS provider jobs | Active postings observed through ADP Workforce Now Recruiting. | Open |
| Provider filtered search | The same provider as a filtered job collection. | Open |
| City jobs | Active postings in Caguas. | Open |
| Lifecycle events | Open, update, close, and reopen events for this posting. | Open |
| Original posting | Canonical source or apply URL captured from the ATS. | Open |
Linked records
| Company | B9cc4e90 2c7d 4ed4 B1ff E151bce5f7c3 19000101 000001 |
| Source | 2721c55c-91ab-4de4-b5d8-528746e807a4 |
| ATS provider | ADP Workforce Now Recruiting |
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.
Full job record
| Job ID | 774ae37e5fda10e3311e1b4f8be5d37ca0e80cc2 |
| Org ID | 8b87a089-4688-458e-90f7-7cab1fcdbb22 |
| Source ID | 2721c55c-91ab-4de4-b5d8-528746e807a4 |
| Board ID | 2721c55c-91ab-4de4-b5d8-528746e807a4 |
| Provider | adp_workforcenow |
| Provider Job Key | 593424 |
| Title | Analytics Engineering Intern |
| Normalized Title | — |
| Status | active |
| Active | yes |
| Location Text | Caguas, PR, US, Caguas, PR |
| Department | — |
| Team | — |
| Employment Type | — |
| Workplace Type | — |
| Remote Policy | — |
| Country | United States |
| Region | — |
| City | Caguas |
| Salary Raw | — |
| Salary Min | — |
| Salary Max | — |
| Salary Currency | — |
| Salary Period | — |
| Source URL | https://workforcenow.adp.com/mascsr/default/mdf/recruitment/recruitment.html?cid=b9cc4e90-2c7d-4ed4-b1ff-e151bce5f7c3&ccId=19000101_000001&lang=en_US&type=JS&jobId=593424&jwId=9202916824545_1 |
| Apply URL | https://workforcenow.adp.com/mascsr/default/mdf/recruitment/recruitment.html?cid=b9cc4e90-2c7d-4ed4-b1ff-e151bce5f7c3&ccId=19000101_000001&lang=en_US&type=JS&jobId=593424&jwId=9202916824545_1 |
| First Seen At | 2026-05-31 18:25:32Z |
| Last Seen At | 2026-06-06 11:27:57Z |
| Last Checked At | 2026-06-06 11:27:57Z |
| Last Changed At | 2026-06-06 11:27:57Z |
| Inactive At | — |
| Source Posted At | 2026-05-27 18:25:00Z |
| Source Updated At | — |
| Raw Payload Uri | s3://job-postings-prod-raw-590183727216/raw/provider=adp_workforcenow/board=b9cc4e90-2c7d-4ed4-b1ff-e151bce5f7c3|19000101_000001/date=2026-06-06/2026-06-06T11-27-56-798Z-602e4370a4f6a86d55fb03449ca457baab77c7633b55890074874fc542913d00.json |
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"requisitionDescription": "<div><p style='margin-top:0in;margin-right:0in;margin-bottom:8.0pt;margin-left:0in;line-height:115%;font-size:16px;font-family:\"Aptos\",sans-serif;' data-pasted=\"true\"><strong><span style='font-family:\"Verdana\",sans-serif;'>Analytics Engineering Intern</span></strong><strong> </strong></p><p style='margin:0in;font-size:16px;font-family:\"Aptos\",sans-serif;'><br></p><p style='margin-top:0in;margin-right:0in;margin-bottom:8.0pt;margin-left:0in;line-height:115%;font-size:16px;font-family:\"Aptos\",sans-serif;'><strong><span style='font-size:15px;line-height:115%;font-family:\"Verdana\",sans-serif;'>Position Summary</span></strong></p><p style='margin:0in;font-size:16px;font-family:\"Aptos\",sans-serif;text-align:justify;'><span style='font-size:15px;font-family:\"Verdana\",sans-serif;'>At <strong>On Point Strategy</strong>, we believe that data tells a story, and we make that story visible.</span></p><p style='margin:0in;font-size:16px;font-family:\"Aptos\",sans-serif;text-align:justify;'><br></p><p style='margin:0in;font-size:16px;font-family:\"Aptos\",sans-serif;text-align:justify;'><span style='font-size:15px;font-family:\"Verdana\",sans-serif;'>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.</span></p><p style='margin:0in;font-size:16px;font-family:\"Aptos\",sans-serif;text-align:justify;'><br></p><p style='margin:0in;font-size:16px;font-family:\"Aptos\",sans-serif;text-align:justify;'><span style='font-size:15px;font-family:\"Verdana\",sans-serif;'>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.</span></p><p style='margin:0in;font-size:16px;font-family:\"Aptos\",sans-serif;'><br></p><p style='margin:0in;font-size:16px;font-family:\"Aptos\",sans-serif;'><br></p><p style='margin-top:0in;margin-right:0in;margin-bottom:8.0pt;margin-left:0in;line-height:115%;font-size:16px;font-family:\"Aptos\",sans-serif;'><strong><span style='font-size:15px;line-height:115%;font-family:\"Verdana\",sans-serif;'>Key Responsibilities</span></strong></p><div style='margin-top:0in;margin-right:0in;margin-bottom:8.0pt;margin-left:0in;line-height:115%;font-size:16px;font-family:\"Aptos\",sans-serif;'><ul style=\"margin-bottom:0in;list-style-type: disc;margin-left: 0in;\"><li style=\"margin-top:0in;margin-right:0in;margin-bottom:8.0pt;margin-left:0in;line-height:115%;font-size:16px;font-family: initial;\"><span style='font-family:\"Verdana\",sans-serif;font-size:15px;'>Support the development of automated data workflows and reporting processes.</span></li><li style=\"margin-top:0in;margin-right:0in;margin-bottom:8.0pt;margin-left:0in;line-height:115%;font-size:16px;font-family: initial;\"><span style='font-family:\"Verdana\",sans-serif;font-size:15px;'>Assist in building scripts and tools using Python to improve operational efficiency.</span></li><li style=\"margin-top:0in;margin-right:0in;margin-bottom:8.0pt;margin-left:0in;line-height:115%;font-size:16px;font-family: initial;\"><span 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style='font-size:15px;line-height:115%;font-family:\"Verdana\",sans-serif;'>Professional Qualifications</span></strong></p><div style='margin-top:0in;margin-right:0in;margin-bottom:8.0pt;margin-left:0in;line-height:115%;font-size:16px;font-family:\"Aptos\",sans-serif;'><ul style=\"margin-bottom:0in;list-style-type: disc;margin-left: 0in;\"><li style=\"margin-top:0in;margin-right:0in;margin-bottom:8.0pt;margin-left:0in;line-height:115%;font-size:16px;font-family: initial;\"><span style='font-family:\"Verdana\",sans-serif;font-size:15px;'>Currently pursuing a Bachelor’s degree in Statistics, Engineering, Economics, Business Administration, Data Science, Computer Science, or related fields.</span></li><li style=\"margin-top:0in;margin-right:0in;margin-bottom:8.0pt;margin-left:0in;line-height:115%;font-size:16px;font-family: initial;\"><span style='font-family:\"Verdana\",sans-serif;font-size:15px;'>Interest in data analysis, business intelligence, or analytics consulting.</span></li><li 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style='font-family:\"Verdana\",sans-serif;font-size:15px;'>Self-motivated, organized, and curious mindset.</span></li></ul></div><p style='margin:0in;font-size:16px;font-family:\"Aptos\",sans-serif;'><br></p><p style='margin:0in;font-size:16px;font-family:\"Aptos\",sans-serif;'><br></p><p style='margin-top:0in;margin-right:0in;margin-bottom:8.0pt;margin-left:0in;line-height:115%;font-size:16px;font-family:\"Aptos\",sans-serif;'><strong><span style='font-size:15px;line-height:115%;font-family:\"Verdana\",sans-serif;'>Preferred Qualifications</span></strong></p><div style='margin-top:0in;margin-right:0in;margin-bottom:8.0pt;margin-left:0in;line-height:115%;font-size:16px;font-family:\"Aptos\",sans-serif;'><ul style=\"margin-bottom:0in;list-style-type: disc;margin-left: 0in;\"><li style=\"margin-top:0in;margin-right:0in;margin-bottom:8.0pt;margin-left:0in;line-height:115%;font-size:16px;font-family: initial;\"><span style='font-family:\"Verdana\",sans-serif;font-size:15px;'>Experience with Python libraries such as Pandas and NumPy, and familiarity with writing scripts for data processing or automation.</span></li><li style=\"margin-top:0in;margin-right:0in;margin-bottom:8.0pt;margin-left:0in;line-height:115%;font-size:16px;font-family: initial;\"><span style='font-family:\"Verdana\",sans-serif;font-size:15px;'>Experience building academic or personal projects involving data pipelines, dashboards, or automation.</span></li><li style=\"margin-top:0in;margin-right:0in;margin-bottom:8.0pt;margin-left:0in;line-height:115%;font-size:16px;font-family: initial;\"><span style='font-family:\"Verdana\",sans-serif;font-size:15px;'>Familiarity with GitHub, Git, or version control tools.</span></li><li style=\"margin-top:0in;margin-right:0in;margin-bottom:8.0pt;margin-left:0in;line-height:115%;font-size:16px;font-family: initial;\"><span style='font-family:\"Verdana\",sans-serif;font-size:15px;'>Interest in building integrations, automations, or data workflows using APIs and scripting tools.</span></li><li style=\"margin-top:0in;margin-right:0in;margin-bottom:8.0pt;margin-left:0in;line-height:115%;font-size:16px;font-family: initial;\"><span style='font-family:\"Verdana\",sans-serif;font-size:15px;'>Interest in AI, machine learning, or intelligent automation.</span></li></ul></div><p style='margin:0in;font-size:16px;font-family:\"Aptos\",sans-serif;'><br></p><p style='margin-top:0in;margin-right:0in;margin-bottom:8.0pt;margin-left:0in;line-height:115%;font-size:16px;font-family:\"Aptos\",sans-serif;'><strong><span style='font-size:15px;line-height:115%;font-family:\"Verdana\",sans-serif;'>Why Join Us</span></strong></p><div style='margin-top:0in;margin-right:0in;margin-bottom:8.0pt;margin-left:0in;line-height:115%;font-size:16px;font-family:\"Aptos\",sans-serif;'><ul style=\"margin-bottom:0in;list-style-type: disc;margin-left: 0in;\"><li style=\"margin-top:0in;margin-right:0in;margin-bottom:8.0pt;margin-left:0in;line-height:115%;font-size:16px;font-family: initial;\"><span style='font-family:\"Verdana\",sans-serif;font-size:15px;'>Gain hands-on experience working on real business and analytics projects.</span></li><li style=\"margin-top:0in;margin-right:0in;margin-bottom:8.0pt;margin-left:0in;line-height:115%;font-size:16px;font-family: initial;\"><span style='font-family:\"Verdana\",sans-serif;font-size:15px;'>Receive mentorship and hands-on exposure to real-world analytics and automation projects.</span></li><li style=\"margin-top:0in;margin-right:0in;margin-bottom:8.0pt;margin-left:0in;line-height:115%;font-size:16px;font-family: initial;\"><span style='font-family:\"Verdana\",sans-serif;font-size:15px;'>Learn from a multidisciplinary team that combines strategy, analytics, and creativity.</span></li><li style=\"margin-top:0in;margin-right:0in;margin-bottom:8.0pt;margin-left:0in;line-height:115%;font-size:16px;font-family: initial;\"><span style='font-family:\"Verdana\",sans-serif;font-size:15px;'>Develop technical and professional skills in a collaborative environment.</span></li><li style=\"margin-top:0in;margin-right:0in;margin-bottom:8.0pt;margin-left:0in;line-height:115%;font-size:16px;font-family: initial;\"><span style='font-family:\"Verdana\",sans-serif;font-size:15px;'>Opportunity for growth and future career opportunities within the organization.</span></li></ul></div><p style='margin:0in;font-size:16px;font-family:\"Aptos\",sans-serif;'><br></p><p style='margin:0in;font-size:16px;font-family:\"Aptos\",sans-serif;'><br></p><p style='margin:0in;font-size:16px;font-family:\"Aptos\",sans-serif;'><strong><span style='font-size:15px;font-family:\"Verdana\",sans-serif;'>Additional Information</span></strong></p><div style='margin-top:0in;margin-right:0in;margin-bottom:8.0pt;margin-left:0in;line-height:115%;font-size:16px;font-family:\"Aptos\",sans-serif;'><ul style=\"margin-bottom:0in;list-style-type: disc;margin-left: 0in;\"><li style=\"margin-top:0in;margin-right:0in;margin-bottom:8.0pt;margin-left:0in;line-height:115%;font-size:16px;font-family: initial;\"><span style='font-family:\"Verdana\",sans-serif;font-size:15px;'>Candidates are encouraged to share academic, personal, or GitHub projects related to analytics, automation, programming, or data visualization.</span></li></ul></div><p style='margin:0in;font-size:16px;font-family:\"Aptos\",sans-serif;'><br></p><p style='margin:0in;font-size:16px;font-family:\"Aptos\",sans-serif;'><br></p></div>\n",
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}Get this page with API
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