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Full Time Data Analyst Jobs in Puerto Rico (NOW HIRING)

PR · On-site

$45K - $55K/yr

???? Data Analyst ???? Location: San Juan, Puerto Rico (Hybrid - Remote Wednesdays ... Job Type: Full-Time | Monday to Friday ???? www.worksimpli.com About WorkSimpli Software WorkSimpli ...

PR · On-site

Lares, Puerto Rico Employment Type: Full-Time | Regular Position Para la Naturaleza is a leading ... data analysis, reporting, and operational decision-making. The Analyst plays a key role in budget ...

PR · On-site

Join Our Team! | Business Analytics Specialist Are you passionate about data analysis and strategic ... Guaynabo or Mayagüez, PR (On-site) Employment Type: Full-time | Regular We are an Equal ...

PR · On-site

Join Our Team! | Business Analytics Specialist Are you passionate about data analysis and strategic ... Guaynabo or Mayagüez, PR (On-site) Employment Type: Full-time | Regular We are an Equal ...

PR · On-site

Join Our Team! | Business Analytics Specialist Are you passionate about data analysis and strategic ... Guaynabo or Mayagüez, PR (On-site) Employment Type: Full-time | Regular We are an Equal ...

PR · On-site

Join Our Team! | Business Analytics Specialist Are you passionate about data analysis and strategic ... Guaynabo or Mayagüez, PR (On-site) Employment Type: Full-time | Regular We are an Equal ...

Data Entry

San Juan, PR · On-site

$16.75 - $22.25/hr

This is a full-time temporary position. Key Responsibilities: * Collect and transfer data from ... Generate reports and retrieve relevant information to support operational and analytical needs.

PR · On-site

$32K - $40K/yr

Be available on a full-time basis, from Monday to Friday 9:00am-6:00pm. * Be available to work from ... Data Analysis * Able to carry out multiple task * Able to work without supervision * Able to ...

ABA Apprentice - Full-Time

San Juan, PR · On-site

$16.75 - $21.50/hr

ABA Apprentice ABA Centers of Florida Full-Time San Juan, Puerto Rico About ABA Centers of Puerto ... Analyze and graph learner data as directed by the BCBA * Create or update data collection system

Data Verification Specialist

Guaynabo, PR · On-site

$13.38 - $23.42/hr

Ability to identify, analyze and solve problems * Basic computer proficiency, including familiarity ... A comprehensive benefits package is available for full-time regular employees and includes Medical ...

Intern

Guaynabo, PR

$15 - $20/hr

The Intern position is a Full time, Temporary position. * Support project teams in research, data analysis and documentation. * Contribute to the development and execution of creative solutions for ...

Intern

Guaynabo, PR · On-site

$15 - $20/hr

The Intern position is a Full time, Temporary position. * Support project teams in research, data analysis and documentation. * Contribute to the development and execution of creative solutions for ...

PR · On-site

Data Analysis: Proficiency in data collection, analysis, and interpretation to support decision ... Job Type: Full-Time in Puerto Rico Relocation Package available Schedule * Monday to Friday ...

Data Analysis: Proficiency in data collection, analysis, and interpretation to support decision ... Job Type: Full-Time in Puerto Rico Relocation Package available Schedule * Monday to Friday ...

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Showing results 1-20

Full Time Data Analyst information

What are the key skills and qualifications needed to thrive as a Full Time Data Analyst, and why are they important?

To thrive as a Full Time Data Analyst, you need strong analytical skills, proficiency in statistics, and a relevant degree such as in mathematics, statistics, or computer science. Familiarity with data analysis tools like SQL, Python, Excel, and visualization platforms such as Tableau or Power BI is typically required. Strong problem-solving abilities, communication skills, and attention to detail help analysts present actionable insights and collaborate effectively with stakeholders. These skills and qualifications are crucial for transforming raw data into meaningful information that drives business decisions.

What are typical collaboration partners for a Full Time Data Analyst, and how do they work together on projects?

Full Time Data Analysts frequently collaborate with cross-functional teams such as business stakeholders, software engineers, and product managers. They work closely with these partners to understand data needs, define project goals, and translate technical findings into actionable business insights. Regular meetings, data review sessions, and feedback loops are common practices to ensure alignment and effective communication throughout a project's lifecycle. This collaborative approach helps ensure that data-driven recommendations are both relevant and implementable.

What does a Full Time Data Analyst do?

A Full Time Data Analyst is responsible for collecting, processing, and analyzing large sets of data to help organizations make informed decisions. They use statistical tools and techniques to interpret data trends and patterns, create reports and visualizations, and present actionable insights to stakeholders. Data analysts often work with databases, spreadsheets, and specialized software to ensure data accuracy and reliability. Their work supports business strategies, improves efficiency, and identifies opportunities for growth.

What is the difference between Full Time Data Analyst vs Part Time Data Analyst?

AspectFull Time Data AnalystPart Time Data Analyst
Work HoursTypically 35-40 hours per weekLess than 30 hours per week
Employment StatusFull-time employmentPart-time employment
CertificationsOften requires relevant degrees and certificationsMay require similar credentials but with flexible schedules
Work EnvironmentOffice or remote, full-time engagementFlexible, part-time roles often remote or freelance

Full Time Data Analysts work regular hours, often in a dedicated office or remote setting, with full employment benefits. Part Time Data Analysts work fewer hours, offering flexibility but typically with limited benefits. Both roles require similar skills and certifications, but the commitment level differs.

What are the most commonly searched types of Data Analyst jobs in Puerto Rico? The most popular types of Data Analyst jobs in Puerto Rico are:
What are popular job titles related to Full Time Data Analyst jobs in Puerto Rico? For Full Time Data Analyst jobs in Puerto Rico, the most frequently searched job titles are:
What cities in Puerto Rico are hiring for Full Time Data Analyst jobs? Cities in Puerto Rico with the most Full Time Data Analyst job openings:
Data Analyst III

Full-time

Retirement, PTO

Posted 15 days ago


Job description

IEM is looking for a Full Time - Data Analyst III to work within our Puerto Rico Critical Infrastructure team. The Data Analyst III role is responsible for transforming complex data into actionable insights. This position analyzes large data sets, develops predictive models, and produces reports that guide business decisions. The Data Analyst III ensures data integrity, identifies trends within client populations, and collaborates with teams to streamline data processes. Additionally, the role involves defining data requirements, optimizing reporting, and effectively communicating results in a fast-paced, dynamic environment.

Primary Location:

  • Candidate must live a commutable distance to San Juan or Guaynabo, Puerto Rico.with a team.
  • Work in an Office Environment

Travel Requirements:

  • This position may require travel to complete work assignments or attend meetings.

Essential Functions:

  • Work with large data sets.
  • Develop data analysis and forecast models.
  • Extrapolate conclusions from large data sets.
  • Develop, maintain, and optimize data processing scripts and analytical workflows using programming languages such as Python, R, SQL, or similar, as well as low-code platforms including Power Apps, Power BI, and Appian.
  • Design and implement automated data pipelines to extract, transform, and load (ETL) data from multiple sources, leveraging both traditional programming approaches and tools such as Power Platform and Appian integrations.
  • Build reusable code libraries, scripts, and application components to support data validation, transformation, and reporting processes across platforms such as Power BI, Power Apps, and Appian.
  • Integrate data across multiple platforms and systems-including Power Platform (Power BI, Power Apps), Appian, and enterprise databases-to improve accessibility, consistency, and reporting efficiency.
  • Analyze data and generate useful business reports.
  • Maintain databases and conduct routine maintenance as needed to ensure data integrity.
  • Outline the specific data needs for each client and/or business method analysis project (e.g. gather end user business requirements).
  • Communicate with client teams about data changes or requirements.
  • Work with management team to create a prioritized list of needs.
  • Effectively collaborate with IEM's Disaster Response & Recovery management and system development team to understand company needs and devise possible solutions, including the ability to:
  • Identify and recommend efficient streamlined data and reporting processes.
  • Streamline data collection and analysis procedures to ensure fast access to metrics.
  • Optimize joint development efforts through appropriate database use and project design.
  • Communicate results and ideas to key decision makers.
  • Able to work under pressure and in short time frames.
  • Ability to be flexible and adapt quickly to changes during each assignment.

Minimum Qualifications:

  • Experience: Five (5) years or more of experience in data mining, management or analysis consulting.
  • Degree: Bachelor's degree from an accredited institution.
  • Bilingual: English and Spanish.
  • Programming Skills: Demonstrated experience with programming or scripting languages such as Python, R, SQL, or similar, including experience in data manipulation, automation, and reporting.
  • Advanced use of all Microsoft Office applications including Excel, Word, Outlook, Access, and PowerPoint.
  • Intermediate to advanced use of Tableau, Microsoft Project and Visio.

Preferred Qualifications:

  • Experience:Eight (8) years or more of experience in data mining, managementor analysis consulting.
  • Advanced Programming Experience: Experience building scalable data solutions, automation tools, dashboards, or integrations using programming languages and modern data platforms.
  • Knowledge of federally funded programs, processes, policy and requirements.
  • Experience in the operations of FEMA Public Assistance program and CDBG-DR.
  • Basic to intermediate use of internet platforms.
  • Consultative skills.

Additional Information:

  • Office Locations: Often, these offices are either owned by the client we work with or by IEM. All candidates are expected to follow any rules and regulations of the office in which they are required to work for that project.

Benefits and more:

  • 10 paid Holidays
  • Vacation Pay
  • Sick Pay
  • 401 (K) plan with matching
  • Company paid STD and LTD

Equal Employment Opportunity.All IEM employment decisions, including recruiting, hiring, placement, training availability, promotion, compensation, evaluation, disciplinary actions, and termination of employment, if necessary, are made without regard to an individual's race, color, religion, creed, sex (including sexual orientation, gender identity, and gender expression), national origin, ancestry, age, physical or mental disability, medical condition, genetic information, pregnancy (including childbirth and related medical conditions), marital status, military or veteran status, citizenship or immigration status, or any other characteristic protected under applicable law.

Reasonable Accommodation.IEM is committed to providing reasonable workplace accommodations for individuals with disabilities. If you require assistance or reasonable accommodation during any part of the application or employment process, please email IEMhumanresources@iem.com with specific details about the requested accommodation. All accommodation requests are reviewed case-by-case in compliance with applicable law.