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Associate Data Analyst Jobs in Puerto Rico (NOW HIRING)

... analytics, engineering, computer science or related field experience OR Associates + 8 years of data science, business, statistics, data mining, applied mathematics, business analytics, engineering ...

PR ยท On-site

Power BI Data Analyst Associate * Artificial Intelligence Governance Professional (AIGP) * Project Management Professional (PMP) * Prosci Change Management Certification * Experiencia en gobernanza ...

Associates + 8 years of data science, business, statistics, data mining, applied mathematics, business analytics, engineering, computer science or related field experience. * High school/GED + 10 ...

Compiles and interprets performance data, identifies recurring issues and trends, and recommends ... Associate's degree in a relevant field may substitute when accompanied by a minimum of 5 years of ...

Strong attention to detail in financial analysis, ensuring that all data used in financial models ... Associate position. Together, we can achieve financial excellence and drive strategic growth ...

PR

$14.90 - $19.23/hr

This role is responsible for analyzing data, monitoring inventory levels, and supporting logistics ... In addition, our associates may be eligible for paid leave including Paid Sick Leave and Vacation ...

PR ยท On-site

We are looking for a detail-oriented Associate in Business Analysis to join our team and support ... Interpret data and turn it into information that can support client's strategic decisions.

In Oracle data and analytics at PwC, you will utilise Oracle's suite of tools and technologies to ... As a Senior Associate, you will analyze complex problems, mentor junior team members, and build ...

Job Title Associate Quality Engineer About Abbott Abbott is a global healthcare leader, creating ... data and learning the various analysis methods used to enhance sustaining product design and new ...

Software Engineer Senior Associate

San Juan, PR ยท On-site

$120K - $158K/yr

About the Role We're looking for a Senior Associate Software Engineer to join our growing team. In ... Strong experience with SQL and relational or analytical data systems * Experience working in cloud ...

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Associate Data Analyst information

What are some typical projects an Associate Data Analyst might work on during their first year?

As an Associate Data Analyst, you can expect to work on projects such as cleaning and organizing data sets, creating basic visualizations and reports, and assisting with data quality checks. You'll likely collaborate closely with senior analysts and team members from departments like marketing, finance, or operations to support ongoing analyses or new initiatives. Many entry-level projects focus on transforming raw data into actionable insights, which helps you build foundational skills and gain experience with common tools and methodologies in the field.

What are the key skills and qualifications needed to thrive as an Associate Data Analyst, and why are they important?

To thrive as an Associate Data Analyst, you need strong analytical abilities, proficiency in data interpretation, and a relevant degree such as in statistics, mathematics, or computer science. Familiarity with tools like SQL, Excel, and data visualization platforms (e.g., Tableau or Power BI) is typically required, along with knowledge of basic programming languages like Python or R. Attention to detail, critical thinking, and effective communication are key soft skills for translating data insights into actionable recommendations for stakeholders. These skills ensure accurate data analysis, clear reporting, and informed business decisions, which are crucial for organizational success.

What does an Associate Data Analyst do?

An Associate Data Analyst is responsible for collecting, processing, and analyzing data to help their organization make informed business decisions. They typically work with large datasets, create reports, identify trends, and support senior analysts or data scientists. Their tasks often involve using tools like Excel, SQL, and data visualization software to present findings clearly to stakeholders. This entry-level role serves as a foundation for advancing into more specialized data analysis positions.

What is the difference between Associate Data Analyst vs Data Analyst?

AspectAssociate Data AnalystData Analyst
Required CredentialsBachelor's degree in related field, some certificationsBachelor's degree, often with additional certifications or experience
Work EnvironmentEntry-level, supporting data teams, learning-focusedMore independent, responsible for analysis and reporting
Employer & Industry UsageCommon in tech, finance, healthcare, entry-level rolesWidely used across industries, mid-level position

The main difference between an Associate Data Analyst and a Data Analyst lies in experience and responsibility. Associate Data Analysts are typically entry-level, focusing on supporting data tasks and gaining skills, while Data Analysts handle more complex analysis and decision-making. Both roles require similar educational backgrounds, but Data Analysts usually have more experience and autonomy.

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 cities in Puerto Rico are hiring for Associate Data Analyst jobs? Cities in Puerto Rico with the most Associate Data Analyst job openings:

Sr Data Scientist 35431

Inteldot

Juncos, PR โ€ข On-site

Full-time

Posted 16 days ago


Job description

Inteldot has over 15 years in the life science industry with allocations across Puerto Rico, the United States, Europe, and Japan. This is a great opportunity for one of our leading clients in Puerto Rico.
Administrative Shift
Description:
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.
Requirements
  1. Software Engineering or BA Data Science/Analytics
  2. Proficiency in Python, R, SQL, Power BI, Databricks, or similar analytics and visualization platforms.
  3. Familiarity with enterprise data platforms, data warehousing concepts, data modeling, and data integration solutions (e.g., EDW, Databricks, SAP, MES, or equivalent platforms).
  4. Exposure to Industry 4.0 technologies (IoT, digital twins, real-time analytics)

Functions:
  • Leading, using and developing data science, machine learning, and artificial intelligence capabilities across commercial organization.
  • 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.
  • Taking the initiative and work independently with minimal supervision.
  • Identifying business needs, doing SWOT analysis, proposing potential analytical approaches for solutions, obtain approvals and the execute the work end to end.
  • Building high-performance algorithms, prototypes, predictive models and proof of concepts using Python.
  • Working with SQL and other DB query languages.
  • Leading, collaborating and communicating cross-functionally with stakeholders to develop appropriate methodology to answer specific business questions.
  • Presenting analysis ideas, progress and results to business partners in clear and impactful manner.
  • Creating powerful stories in PowerPoint. Well versed in MS Office suite specifically Excel and PowerPoint.
  • 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