2

No Experience Data Analytics Jobs in Puerto Rico

... data generation/data analysis. With minimal guidance, formulate and conduct systematic ... Prior experience with a microbiological laboratory and/or products. Proficient in handling ...

ERP Support Specialist

Guaynabo, PR

$35K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

... and Spanish), and experienced in supporting ERP and warehouse management systems. Key ... Perform data analysis to identify trends, errors, and opportunities for process improvement.

Scientist II

Cayey, PR · On-site

  • Medical

  • Life

... data generation/data analysis. With minimal guidance, formulate and conduct systematic ... Prior experience with a microbiological laboratory and/or products. Proficient in handling ...

Conduct data trend analysis to identify short and long-range patterns so that recommendations can ... Work Experience * Minimum 1 year of relevant experience required, within cGMP or Medical Device ...

New

Intern

Guaynabo, PR · On-site

$15 - $20/hr

Support project teams in research, data analysis and documentation. * Contribute to the development ... No discriminamos por raza, color, religion, sexo, orientacion sexual, identidad de genero, origen ...

Fund Accountant

San Juan, PR · On-site

$55K - $65K/yr

Deliver TBs, respond to audit queries, and prepare K-1 data packages. Process Improvement ... Experience: 2-6 years in fund accounting (private credit, direct lending, PE, or fund admin)

Showing results 41-60

No Experience Data Analytics information

What is the difference between No Experience Data Analytics vs Data Analyst?

AspectNo Experience Data AnalyticsData Analyst
Required CredentialsNone or basic certificationsBachelor's degree in related field, certifications preferred
Work EnvironmentEntry-level, training-focused, often in tech or financeOffice-based, collaborative, project-driven
Employer & Industry UsageStartups, internships, entry-level roles across industriesEstablished companies, mid-level roles in various sectors
Search & Comparison IntentUnderstanding entry points, beginner rolesCareer progression, skill requirements

In summary, No Experience Data Analytics roles are designed for beginners with minimal or no prior experience, often requiring basic certifications and offering training. Data Analysts typically have relevant education and experience, working in more structured environments. Both roles serve different stages of a data analytics career path.

What skills and qualifications are needed for no experience data analytics roles?

To thrive as a Data Analyst without prior experience, you need a solid understanding of basic statistics, data visualization, and spreadsheet proficiency, often supported by a relevant degree or online coursework. Familiarity with tools like Microsoft Excel, SQL, and introductory data analytics platforms such as Tableau or Google Data Studio is common. Strong problem-solving, curiosity, and effective communication skills help you interpret data and convey insights clearly to stakeholders. These skills enable you to analyze data accurately, support decision-making, and demonstrate potential for growth in analytics roles.

What do no experience data analytics jobs involve?

In a No Experience Data Analytics position, you can expect to start with foundational tasks such as cleaning and organizing datasets, creating basic data visualizations, and assisting with simple report generation. You may also help with data entry, validating data accuracy, and supporting senior analysts in data collection projects. These responsibilities help you build technical skills and familiarity with analytical tools, while working closely with more experienced team members who provide guidance and mentorship. Over time, you’ll have opportunities to take on more complex analyses as your confidence and skill set grow.

What is a no experience data analytics job?

'No Experience Data Analytics' jobs are entry-level positions in the field of data analytics that do not require prior professional experience in analytics or data science. These roles are designed for beginners and often focus on teaching foundational skills, such as data cleaning, basic analysis, and using analytics tools like Excel or Tableau. Employers may look for candidates with strong problem-solving abilities, attention to detail, and a willingness to learn. Many of these jobs offer on-the-job training or require completion of online courses or certifications. They provide a pathway for individuals to start a career in data analytics, even if they have just graduated or are switching fields.

What are the most commonly searched types of Data Analytics jobs in Puerto Rico?

The most popular types of Data Analytics jobs in Puerto Rico are:

What are popular job titles related to No Experience Data Analytics jobs in Puerto Rico?

For No Experience Data Analytics jobs in Puerto Rico, the most frequently searched job titles are:

What cities in Puerto Rico are hiring for No Experience Data Analytics jobs?

Cities in Puerto Rico with the most No Experience Data Analytics job openings:

Infographic showing various No Experience Data Analytics job openings in Puerto Rico as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 19% Part Time, and 4% Contract. Highlights an 93% Physical, 1% Hybrid, and 6% Remote job distribution.

Industrial Engineer - Manufacturing Process Optimization (OPEX/Lean)

Moriah Engineering

Jayuya, PR

$69K - $92K/yr

Contractor

Posted 23 days ago


Job description

Position Summary

We are seeking two experienced Industrial Engineers to support manufacturing efficiency and process optimization initiatives for a leading pharmaceutical and medical device manufacturing operation in Jayuya, Puerto Rico.

The selected professionals will evaluate, analyze, and improve manufacturing processes, including filling, sealing, printing, packaging, and other related production operations. This role will focus on identifying improvement opportunities, reducing inefficiencies, strengthening process performance, and supporting the implementation of sustainable operational excellence initiatives.

The ideal candidates will have strong analytical and problem-solving skills, hands-on manufacturing experience, and the ability to collaborate with cross-functional technical and operational teams.

Key Responsibilities

  • Evaluate manufacturing processes to identify inefficiencies, bottlenecks, risks, and improvement opportunities.
  • Analyze filling, sealing, printing, packaging, and other manufacturing operations.
  • Collect, monitor, and analyze operational, business, and quality data to identify trends and opportunities for improvement.
  • Develop and implement process optimization and efficiency initiatives using Lean, Operational Excellence, and Process Excellence methodologies.
  • Lead or support cross-functional and multilevel technical teams in the execution of improvement projects.
  • Apply Lean manufacturing principles, continuous improvement tools, and risk management practices to assigned projects.
  • Monitor critical-to-quality and critical-to-business performance indicators.
  • Prepare and present project findings, recommendations, business cases, and improvement opportunities to different levels of the organization.
  • Quantify potential improvements related to productivity, quality, cost reduction, capacity, cycle time, and operational performance.
  • Support the implementation, monitoring, and sustainability of approved process improvements.
  • Collaborate with Manufacturing, Engineering, Quality, Maintenance, Calibration, and Operational Excellence teams.
  • Maintain accurate project documentation, data analysis, reports, and performance metrics.
  • Ensure that all improvement initiatives comply with applicable quality, safety, and regulatory requirements.

Minimum Requirements

  • Bachelor's degree in Industrial Engineering or a related engineering discipline.
  • At least three years of experience evaluating and optimizing manufacturing processes.
  • Experience working in a manufacturing, pharmaceutical, medical device, biotechnology, or similarly regulated environment.
  • Demonstrated experience analyzing production data, operational trends, process performance, and quality indicators.
  • Knowledge of Lean Manufacturing, Continuous Improvement, Operational Excellence, or Process Excellence methodologies.
  • Strong analytical, organizational, and problem-solving skills.
  • Ability to lead or collaborate with cross-functional technical teams.
  • Strong written and verbal communication skills.
  • Ability to prepare and present technical findings and business recommendations.
  • Availability to work on-site in Jayuya, Puerto Rico.

Preferred Qualifications

  • Experience with filling, sealing, printing, packaging, or related manufacturing processes.
  • Knowledge of Lean tools such as Value Stream Mapping, Kaizen, 5S, root cause analysis, standard work, and waste reduction.
  • Experience developing business cases and presenting improvement opportunities to management.
  • Knowledge of risk management and process improvement practices in regulated manufacturing environments.
  • Lean Six Sigma certification or formal training is highly desirable.
  • Bilingual proficiency in Spanish and English is preferred.

Ideal Candidate Profile

The ideal candidate is a results-oriented Industrial Engineer who can combine data analysis with hands-on process evaluation. This individual should be comfortable working directly within manufacturing operations, engaging with employees at different organizational levels, and converting operational findings into practical, measurable, and sustainable improvements.