We help companies connect, protect, analyze, and act on their data and applications wherever they ... part-time interns during the school year in some countries. Additional Skills: What We Can Offer ...
We help companies connect, protect, analyze, and act on their data and applications wherever they ... part-time interns during the school year in some countries. Additional Skills: What We Can Offer ...
We help companies connect, protect, analyze, and act on their data and applications wherever they ... part-time interns during the school year in some countries. Additional Skills: What We Can Offer ...
We help companies connect, protect, analyze, and act on their data and applications wherever they ... part-time interns during the school year in some countries. Additional Skills: What We Can Offer ...
Spanish Bilingual Clinical Research Coordinator - Dorado, Puerto Rico
San Juan, PR · On-site
$41K - $118.60K/yr
... Part-time, 24 hours per week About IQVIA IQVIA is a global leader in advanced analytics ... Perform accurate electronic data capture (EDC) entry, query resolution, and source documentation
Spanish Bilingual Clinical Research Coordinator - Dorado, Puerto Rico
San Juan, PR · On-site
$41K - $118.60K/yr
... Part-time, 24 hours per week About IQVIA IQVIA is a global leader in advanced analytics ... Perform accurate electronic data capture (EDC) entry, query resolution, and source documentation
Spanish Bilingual Clinical Research Coordinator
San Juan, PR · On-site
$41K - $118.60K/yr
... Part-time, 24 hours per week About IQVIA IQVIA is a global leader in advanced analytics ... Perform accurate electronic data capture (EDC) entry, query resolution, and source documentation
Spanish Bilingual Clinical Research Coordinator
San Juan, PR · On-site
$41K - $118.60K/yr
... Part-time, 24 hours per week About IQVIA IQVIA is a global leader in advanced analytics ... Perform accurate electronic data capture (EDC) entry, query resolution, and source documentation
... Part-time, 24 hours per week About IQVIA IQVIA is a global leader in advanced analytics ... Perform accurate electronic data capture (EDC) entry, query resolution, and source documentation
... Part-time, 24 hours per week About IQVIA IQVIA is a global leader in advanced analytics ... Perform accurate electronic data capture (EDC) entry, query resolution, and source documentation
WORKSHOP FACILITATOR
San Juan, PR · On-site
$16/hr
LEA Project Manager STATUS : o Full time - Hourly ü Full time - Salary o Part Time - Hourly ... Evaluation - Knowledge of the evaluation methods, assessment processes, data analysis, and data ...
Quick apply
WORKSHOP FACILITATOR
San Juan, PR · On-site
$16/hr
LEA Project Manager STATUS : o Full time - Hourly ü Full time - Salary o Part Time - Hourly ... Evaluation - Knowledge of the evaluation methods, assessment processes, data analysis, and data ...
Part Time Data Analyst information
What Does a Part Time Data Analyst Do?
A part-time data analyst collects, organizes, assesses, and reviews information. In this career, you review data to ensure that it is accurate and to identify trends, provide analysis of a market or a company’s operations and processes, or meet other needs of a company or client. Data analysts typically create reports that explain their analysis. Your responsibilities also include helping to develop and deploy systems and tools to collect, extract, and categorize data so that you can analyze it more efficiently. As a part-time employee, you perform your duties for less than 40 hours per week.
What are the key skills and qualifications needed to thrive as a Part Time Data Analyst, and why are they important?
To excel as a Part Time Data Analyst, you need proficiency in data analysis, statistical methods, and a relevant degree such as mathematics, statistics, or computer science. Familiarity with technical tools like Microsoft Excel, SQL, and data visualization platforms such as Tableau or Power BI is typically required. Attention to detail, problem-solving ability, and effective communication are crucial soft skills for interpreting and presenting data insights. These competencies enable accurate, actionable analyses that support decision-making, even within limited working hours.
How does a part-time data analyst typically collaborate with full-time team members to ensure project continuity?
As a part-time data analyst, you’ll often work closely with full-time analysts, project managers, and business stakeholders to maintain seamless project progress. Regular check-ins, clear documentation of your analyses, and using collaborative tools like shared dashboards or project management software are key practices. Flexibility and strong communication skills are essential, as you may need to align your schedule with team meetings or coordinate handoffs to ensure your work integrates smoothly with ongoing projects.
What are part time data analysts?
Part time data analysts are professionals who work fewer hours than a standard full-time schedule, typically analyzing and interpreting data to help organizations make informed decisions. They use statistical tools and software to process data, identify trends, and generate reports. Part time positions are ideal for those seeking flexible work arrangements, such as students, parents, or individuals with other commitments. Despite working fewer hours, part time data analysts are expected to have strong analytical skills and proficiency in data management tools. Their contributions are valuable to businesses seeking data-driven insights without the need for a full-time role.
What is the difference between Part Time Data Analyst vs Data Scientist?
| Aspect | Part Time Data Analyst | Data Scientist |
|---|---|---|
| Required Credentials | Bachelor's degree in data-related field; some roles may require certifications like Microsoft Excel or SQL | Bachelor's or master's degree in data science, statistics, or related fields; often requires programming skills and certifications |
| Work Environment | Typically in office settings, supporting specific projects or departments, with flexible or part-time hours | Usually in tech or research environments, working on complex models and large datasets, often full-time |
| Employer & Industry Usage | Used across industries like finance, marketing, healthcare for data reporting and analysis | Common in tech, finance, and research sectors for developing predictive models and advanced analytics |
While both roles involve data analysis, Part Time Data Analysts focus on supporting business decisions with basic data tasks, often on a flexible schedule. Data Scientists handle complex modeling and predictive analytics, typically in full-time roles. The choice depends on your skills, experience, and career goals.
More about Part Time Data Analyst jobs
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What are popular job titles related to Part Time Data Analyst jobs in Puerto Rico? For Part Time Data Analyst jobs in Puerto Rico, the most frequently searched job titles are:
What job categories do people searching Part Time Data Analyst jobs in Puerto Rico look for? The top searched job categories for Part Time Data Analyst jobs in Puerto Rico are:
Data Scientist Intern - Bachelors/Masters
Hewlett Packard Enterprise Development LPAguadilla, PR • On-site
Part-time
Posted 7 days ago
Job description
Data Scientist Intern - Bachelors/Masters
This role has been designed as ''Onsite' with an expectation that you will primarily work from an HPE office.
Who We Are:
Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today's complex world. Our culture thrives on finding new and better ways to accelerate what's next. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE.
Job Description:
Job Family Definition:
Students pursuing a Master's degree in Computer Science, Data Science. Assists in various tasks aligned with their field of study, including research, collaboration on team initiatives and projects, problem-solving, and creative thinking to gain hands-on experience and develop professional skills. Includes internships, research roles, visiting scholar positions, or other program-related opportunities.
We are seeking enthusiastic interns pursuing advanced degrees to join our team working on cutting-edge enterprise Wi-Fi technology and autonomous platforms. In this role, you will contribute to data science research and software development aimed at delivering deep insights into user experience through big data and predictive modeling. You will collaborate with engineers and product managers to help build the next generation of autonomous Wi-Fi networks that process massive streaming data in real time to detect anomalies, predict issues, and improve network reliability.
Key Responsibilities:
Education Requirements:
Knowledge & Skills:
Preferred Qualifications:
Impact/Scope:
Additional Skills:
What We Can Offer You:
Health & Wellbeing
We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing.
Personal & Professional Development
We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have - whether you want to become a knowledge expert in your field or apply your skills to another division.
Unconditional Inclusion
We are unconditionally inclusive in the way we work and celebrate individual uniqueness. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good.
Let's Stay Connected:
Follow @HPECareers on Instagram to see the latest on people, culture and tech at HPE.
#puertorico
#interns
Job:
Engineering
Job Level:
N/A
HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBT employer. We do not discriminate on the basis of race, gender, or any other protected category, and all decisions we make are made on the basis of qualifications, merit, and business need. Our goal is to be one global team that is representative of our customers, in an inclusive environment where we can continue to innovate and grow together. Please click here: Equal Employment Opportunity.
Hewlett Packard Enterprise is EEO Protected Veteran/ Individual with Disabilities.
HPE will comply with all applicable laws related to employer use of arrest and conviction records, including laws requiring employers to consider for employment qualified applicants with criminal histories.
No Fees Notice & Recruitment Fraud Disclaimer
It has come to HPE's attention that there has been an increase in recruitment fraud whereby scammer impersonate HPE or HPE-authorized recruiting agencies and offer fake employment opportunities to candidates. These scammers often seek to obtain personal information or money from candidates.
Please note that Hewlett Packard Enterprise (HPE), its direct and indirect subsidiaries and affiliated companies, and its authorized recruitment agencies/vendors will never charge any candidate a registration fee, hiring fee, or any other fee in connection with its recruitment and hiring process. The credentials of any hiring agency that claims to be working with HPE for recruitment of talent should be verified by candidates and candidates shall be solely responsible to conduct such verification. Any candidate/individual who relies on the erroneous representations made by fraudulent employment agencies does so at their own risk, and HPE disclaims liability for any damages or claims that may result from any such communication.
This role has been designed as ''Onsite' with an expectation that you will primarily work from an HPE office.
Who We Are:
Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today's complex world. Our culture thrives on finding new and better ways to accelerate what's next. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE.
Job Description:
Job Family Definition:
Students pursuing a Master's degree in Computer Science, Data Science. Assists in various tasks aligned with their field of study, including research, collaboration on team initiatives and projects, problem-solving, and creative thinking to gain hands-on experience and develop professional skills. Includes internships, research roles, visiting scholar positions, or other program-related opportunities.
We are seeking enthusiastic interns pursuing advanced degrees to join our team working on cutting-edge enterprise Wi-Fi technology and autonomous platforms. In this role, you will contribute to data science research and software development aimed at delivering deep insights into user experience through big data and predictive modeling. You will collaborate with engineers and product managers to help build the next generation of autonomous Wi-Fi networks that process massive streaming data in real time to detect anomalies, predict issues, and improve network reliability.
Key Responsibilities:
- Apply your analytical and programming skills using open-source technologies such as Apache Storm, Apache Spark, Elasticsearch, and Redis.
- Design and implement scalable machine learning algorithms to process terabytes of streaming data.
- Organize and analyze raw data while building and maintaining robust data systems and processing pipelines.
- Support troubleshooting efforts in production environments and assist in resolving customer issues.
- Leverage network data to enhance the Mist platform's inference engine and AI capabilities, including the virtual assistant chatbot.
- Assist in determining failure probabilities across the Wi-Fi network and conduct failure scope analyses.
Education Requirements:
- Currently pursuing a Bachelor's or Master's degree in Computer Science, Data Science.
Knowledge & Skills:
- Proficient in Java and Python programming languages.
- Solid understanding of big data tools and techniques, including distributed storage and computation engines.
- Experience developing reusable, scalable data processing components.
- Familiarity with cloud-based CI/CD tools and collaboration with DevOps teams to monitor data pipelines.
- Understanding of multi-cloud production environments.
- Ability to troubleshoot open-source data processing engines such as Apache Spark and Apache Storm.
Preferred Qualifications:
- Basic knowledge of networking concepts is highly advantageous.
Impact/Scope:
- University students actively enrolled in a university/college/institution pursuing a Bachelor's degree in a technical area of study, and who typically works during school breaks and then returns to their university. While this applies to most interns, there may be opportunities for full-time students to work as part-time interns during the school year in some countries.
Additional Skills:
What We Can Offer You:
Health & Wellbeing
We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing.
Personal & Professional Development
We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have - whether you want to become a knowledge expert in your field or apply your skills to another division.
Unconditional Inclusion
We are unconditionally inclusive in the way we work and celebrate individual uniqueness. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good.
Let's Stay Connected:
Follow @HPECareers on Instagram to see the latest on people, culture and tech at HPE.
#puertorico
#interns
Job:
Engineering
Job Level:
N/A
HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBT employer. We do not discriminate on the basis of race, gender, or any other protected category, and all decisions we make are made on the basis of qualifications, merit, and business need. Our goal is to be one global team that is representative of our customers, in an inclusive environment where we can continue to innovate and grow together. Please click here: Equal Employment Opportunity.
Hewlett Packard Enterprise is EEO Protected Veteran/ Individual with Disabilities.
HPE will comply with all applicable laws related to employer use of arrest and conviction records, including laws requiring employers to consider for employment qualified applicants with criminal histories.
No Fees Notice & Recruitment Fraud Disclaimer
It has come to HPE's attention that there has been an increase in recruitment fraud whereby scammer impersonate HPE or HPE-authorized recruiting agencies and offer fake employment opportunities to candidates. These scammers often seek to obtain personal information or money from candidates.
Please note that Hewlett Packard Enterprise (HPE), its direct and indirect subsidiaries and affiliated companies, and its authorized recruitment agencies/vendors will never charge any candidate a registration fee, hiring fee, or any other fee in connection with its recruitment and hiring process. The credentials of any hiring agency that claims to be working with HPE for recruitment of talent should be verified by candidates and candidates shall be solely responsible to conduct such verification. Any candidate/individual who relies on the erroneous representations made by fraudulent employment agencies does so at their own risk, and HPE disclaims liability for any damages or claims that may result from any such communication.