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Data Analytics Jobs in Puerto Rico (NOW HIRING)

We are seeking an experienced Senior Data Scientist to lead advanced analytics and machine learning initiatives that drive measurable business value. You will bridge the gap between complex datasets ...

We are seeking an experienced Senior Data Scientist to lead advanced analytics and machine learning initiatives that drive measurable business value. You will bridge the gap between complex datasets ...

... Data Analytics and Reporting, ERP & Procurement System Proficiency (SAP, Ariba), Technology Integration and Digital Workflow Proficiency, High proficiency in Microsoft Excel, Power BI and document ...

PR · On-site

Bachelor's degree in finance, Accounting, Business, Economics, Analytics, or related field PROFESSIONAL EXPERIENCE * 2-4 years of experience in healthcare operations, rebates, finance, or data ...

PR

$48/hr

This role drives advanced analytics, machine learning, and AI initiatives across manufacturing and ... Data warehousing (EDW). Data modeling & integration (ETL/ELT), Enterprise systems (SAP, MES)

New

Strong attention to detail in financial analysis, ensuring that all data used in financial models is accurate, complete, and relevant. The ability to spot inconsistencies and potential issues is ...

Strong attention to detail in financial analysis, ensuring that all data used in financial models is accurate, complete, and relevant. The ability to spot inconsistencies and potential issues is ...

PR · On-site

Perform data analysis by collecting and analyzing data & patterns, presenting findings, facilitating informed decision-making and problem resolution. * Prepare reports, analysis, and presentations ...

Master's Degree in Business Administration, Data Analytics, Industrial Engineering, Finance, Healthcare Administration or related fields. At least five (5) years of experience in the management of ...

PR · On-site

Azure Synapse Analytics / SQL Data Warehouse * Direct Lake / Import / DirectQuery modes ***Equal Opportunity Employer M/F/V/D*

PR · On-site

Azure Synapse Analytics / SQL Data Warehouse. * Direct Lake / Import / DirectQuery modes. ***Equal Opportunity Employer M/F/V/D*

Showing results 41-60

Data Analytics information

What kind of jobs can you get with data analytics?

Data analytics skills can lead to roles such as data analyst, business analyst, data scientist, and data engineer. These jobs involve analyzing data to support decision-making, creating reports, and developing data models using tools like SQL, Excel, and Python or R. Strong analytical skills and knowledge of data visualization are essential for these positions.

Is a data analyst still a good career?

Data analysts remain in high demand across industries due to the increasing reliance on data-driven decision making. Strong skills in tools like Excel, SQL, and visualization software, along with certifications, can enhance job prospects and career growth in this field.

How does a data analytics professional typically collaborate with other departments within an organization?

Data Analytics professionals frequently work alongside teams such as marketing, finance, operations, and product development to identify trends, solve business problems, and inform strategic decisions. Collaboration often involves gathering data requirements, interpreting findings, and presenting actionable insights in a clear and accessible manner. Effective communication and the ability to translate technical data into business terms are essential for ensuring recommendations are implemented and drive measurable impact. Regular cross-functional meetings and project-based teamwork are common, offering opportunities to learn from other disciplines and broaden one's organizational influence.

What jobs can a data analyst do?

A data analyst can work in roles such as business analyst, data specialist, or reporting analyst, focusing on collecting, processing, and analyzing data to support decision-making. They often use tools like Excel, SQL, and data visualization software, and may work in industries like finance, healthcare, marketing, or technology. Strong analytical skills and knowledge of statistical methods are essential for these positions.

What is the work for a data analytics?

A data analyst's work involves collecting, processing, and analyzing data to identify trends, support decision-making, and improve business outcomes. They use tools like Excel, SQL, and data visualization software, and often require strong analytical skills and attention to detail.

What is data analytics?

Data analytics is the process of examining raw data to uncover trends, patterns, and insights that can inform decision-making. Professionals in this field use statistical techniques, programming, and data visualization tools to interpret complex data sets. Data analytics is applied in various industries, including business, healthcare, finance, and technology, to optimize operations, improve customer experiences, and drive strategic initiatives. The field often requires knowledge of tools like Excel, SQL, Python, and specialized analytics platforms.

What is the difference between Data Analytics vs Data Analyst?

AspectData AnalyticsData Analyst
Role FocusAnalyzing large datasets to identify trends and insightsInterpreting data, creating reports, and supporting decision-making
Skills & CertificationsStatistical skills, data visualization, tools like SQL, Python, RData visualization, Excel, SQL, basic statistical knowledge
Work EnvironmentOften in data teams, tech companies, or consulting firmsBusiness units, marketing, finance, or operations teams
Common UsageRefers to the field or disciplineRefers to the job role or position

While both roles involve working with data, Data Analytics typically refers to the broader field or discipline focused on analyzing data to extract insights. A Data Analyst is a specific job role within that field, responsible for interpreting data, creating reports, and supporting business decisions.

What are the key skills and qualifications needed to thrive as a data analytics professional, and why are they important?

To thrive as a Data Analytics professional, you need strong quantitative analysis skills, proficiency in statistics, and a relevant degree such as in mathematics, computer science, or a related field. Experience with technical tools like SQL, Python or R, data visualization platforms (e.g., Tableau, Power BI), and sometimes certifications like Google Data Analytics or Microsoft Certified: Data Analyst Associate are highly valuable. Critical thinking, problem-solving, and effective communication are essential soft skills for interpreting data and presenting findings to stakeholders. These skills and qualities are crucial for transforming raw data into actionable insights that drive business decision-making.

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 cities in Puerto Rico are hiring for Data Analytics jobs?

Cities in Puerto Rico with the most Data Analytics job openings:

Infographic showing various Data Analytics job openings in Puerto Rico as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 12% Part Time, 2% Temporary, and 4% Contract. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution.

Sr Data Scientist

Weil Group, Inc

Juncos, PR

Full-time

Re-posted 6 days ago


Job description

We are seeking an experienced Senior Data Scientist to lead advanced analytics and machine learning initiatives that drive measurable business value. You will bridge the gap between complex datasets and strategic business decisions, owning the end-to-end data modeling lifecycle while mentoring junior colleagues and collaborating with key stakeholders.
SUMMARY

The Data Scientist will lead projects and collaborate with business partners including commercial insights teams, manufacturing, supply chain, engineering, data teams, external vendor partners, service owners and IS partners to develop analytical models and insights across the PR Operations Organization to answer/solve specific business problems. This role will lead advanced analytics projects from the front and will be responsible for end to end execution. This role will innovate and create significant business impact through the strategic use of advanced analytics techniques.
FUNCTIONS
1. Leading, using and developing data science, machine learning, and artificial intelligence capabilities across Client commercial organization
2. Leading the projects and be part of cross functional teams on projects and/or programs with aims to systematically derive insights that ultimately derive substantial business value for Amgen.
3. Taking the initiative and work independently with minimal supervision
4. Identifying business needs, doing SWOT analysis, proposing potential analytical approaches for solutions, obtain approvals and the execute the work end to end.
5. Building high-performance algorithms, prototypes, predictive models and proof of concepts using Python
6. Working with SQL and other DB query languages
7. Leading, collaborating and communicating cross-functionally with stakeholders to develop appropriate methodology to answer specific business questions
8. Presenting analysis ideas, progress and results to business partners in clear and impactful manner
9. Creating powerful stories in PowerPoint. Well versed in MS Office suite specifically Excel and PowerPoint
10. Assuring compliance with regulatory, security, and privacy requirements as it relates to data assets
EDUCATION
-Doctorate OR  -Masters + 2 years of data science, business, statistics, data mining, applied mathematics, business analytics, engineering, computer science or related field experience OR
-Bachelors + 4 years of data science, business, statistics, data mining, applied mathematics, business analytics, engineering, computer science or related field experience OR  -Associates + 8 years of data science, business, statistics, data mining, applied mathematics, business analytics, engineering, computer science or related field experience OR -High school/GED + 10 years of data science, business, statistics, data mining, applied mathematics, business analytics, engineering, computer science or related field experience
COMPETENCIES/SKILLS
1. Degree in Data Science, Engineering, Mathematics, Applied Physics, Statistics, or Operations Research
2. Experience leading the projects and in executions of the projects end to end
3. Experience with databases including relational, SQL, and Graph
4. Programming experience with Python, R, or SAS and experience with ML libraries like scikitlearn, MLib, Keras, TensorFlow, Pytorch, etc.
5. Write well-abstracted and reusable code in Python, R, or Scala; you freely navigate in Linux environment;
6. Detail-oriented technical aptitude with strong logical, problem solving, and decision-making skills
7. Excellent organization/planning skills and talent for managing many large and complex datasets
8. Ability to collaborate and influence business partners and other IS resources to drive analytic projects end-to-end
9. Excellent communication skills to communicate analysis in a clear, precise, and actionable manner
10. Experience working with large datasets, experience working with distributed computing tools (Spark, Hive, etc.)
11. Passion for learning and staying on top of current developments in advanced analytics.
12. Biotech / Pharma experience

**Weil Group is proud to be an Equal Employment Opportunity Employer.*