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Education Data Analyst Jobs in Puerto Rico (NOW HIRING)

PR · On-site

$45K - $55K/yr

Education Requirements * Bachelor's degree in Data Science , Statistics , Economics , Computer Science , or related field. * Equivalent experience or certifications (Google Data Analytics, etc.) will ...

PR · On-site

Collect, analyze, and interpret education data to support informed decision-making. * Monitor program performance indicators including: * Child outcomes * CLASS ® scores * Teaching Strategies GOLD ...

PR · On-site

... or educating end-users on how to interpret existing reports. * Conduct detailed data analysis on data used across ASP business units. * Respond to data related inquiries in real-time to support ...

PR · On-site

... or educating end-users on how to interpret existing reports. * Conduct detailed data analysis on data used across ASP business units. * Respond to data related inquiries in real-time to support ...

EDUCATION: * Doctorate or Masters + 2 years of data science, business, statistics, data mining, applied mathematics, business analytics, engineering, computer science or related field experience.

PR · On-site

Prepare manufacturer rebate submissions and supporting data files * Validate eligible claims ... Support system testing or process changes as needed TRAINING & EDUCATION * Bachelor's degree in ...

PR · On-site

Perform data analysis by collecting and analyzing data & patterns, presenting findings ... Maintains technical knowledge by attending educational workshops, reviewing publications (NCPDP)

Sr Data Scientist 35618

Juncos, PR · On-site

$90 - $130/hr

Education Masters + 2 years of data science, business, statistics, data mining, applied mathematics, business analytics, engineering, computer science or related field experience OR Bachelors + 4 ...

Education: Masters + 2 years of data science, business, statistics, data mining, applied mathematics, business analytics, engineering, computer science or related field experience OR Bachelors + 4 ...

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Education Data Analyst information

What is an education data analyst?

Education Data Analysts are professionals who collect, process, and analyze educational data to help schools, districts, or educational organizations make informed decisions. They work with large sets of information such as student performance, attendance, graduation rates, and program effectiveness. By interpreting this data, they identify trends and provide actionable insights to improve teaching strategies, student outcomes, and policy decisions. Their work supports evidence-based improvements in education systems.

How does an education data analyst typically collaborate with educators and administrators to drive data-informed decision making?

Education Data Analysts regularly work alongside teachers, school leaders, and district administrators to interpret and present data that informs instructional strategies and policy decisions. They often translate complex datasets into actionable insights through reports, dashboards, and presentations tailored to non-technical audiences. This collaborative effort ensures that data-driven recommendations are both relevant and practical, helping to improve student outcomes and operational efficiency. Analysts may also facilitate training sessions to build data literacy among staff, fostering a culture of continuous improvement.

What are the key skills and qualifications needed to thrive as an education data analyst, and why are they important?

To thrive as an Education Data Analyst, you need strong analytical skills, proficiency in statistics, and a relevant degree in data science, education, or a related field. Familiarity with data analysis tools such as SQL, Excel, SPSS, R, or Python, as well as experience with education data management systems, is typically required. Attention to detail, problem-solving abilities, and effective communication skills help translate data insights for non-technical stakeholders. These skills are crucial to accurately inform decision-making and drive improvements in educational outcomes.

What does an education data analyst do?

An education data analyst collects, analyzes, and interprets educational data to help improve student outcomes and institutional performance. They use statistical tools and software to identify trends, generate reports, and support data-driven decision-making in educational settings.

What are popular job titles related to Education Data Analyst jobs in Puerto Rico?

For Education Data Analyst jobs in Puerto Rico, the most frequently searched job titles are:

What job categories do people searching Education Data Analyst jobs in Puerto Rico look for?

The top searched job categories for Education Data Analyst jobs in Puerto Rico are:

What cities in Puerto Rico are hiring for Education Data Analyst jobs?

Cities in Puerto Rico with the most Education Data Analyst job openings:

$45K - $55K/yr

Full-time

Medical, PTO

Re-posted 10 days ago


Job description


???? Data Analyst

???? Location: San Juan, Puerto Rico (Hybrid – Remote Wednesdays)
???? Job Type: Full-Time | Monday to Friday
???? www.worksimpli.com

About WorkSimpli Software

WorkSimpli Software LLC is a fast-growing SaaS company based in San Juan, Puerto Rico, creating intuitive tools that make work more efficient. Our platform PDFSimpli.com is one of the top-ranked document editing tools online, helping millions streamline their workflows. We are expanding our data team and seeking a Data Analyst to turn data into insights and drive smarter decision-making across our products and operations.

Position Summary

As a Data Analyst, you’ll play a key role in helping our teams understand business performance, user behavior, and growth opportunities. You will gather, interpret, and present data that supports strategic decisions across marketing, product development, finance, and leadership.

This role is ideal for someone passionate about storytelling through data, curious about product and user behavior, and experienced with extracting insights from complex datasets.

Key Responsibilities

  • Collect, clean, and analyze data from internal systems (databases, product usage, marketing tools, etc.).
  • Build dashboards and visualizations that provide insight into KPIs, user engagement, and product performance.
  • Identify trends, patterns, and opportunities across platforms like PDFSimpli.com.
  • Work with Product, Marketing, and Executive teams to translate business questions into data questions—and deliver answers.
  • Conduct A/B tests and conversion analysis to support product and marketing optimization.
  • Write reports and present findings in clear, actionable formats.
  • Maintain and enhance data pipelines in collaboration with engineers when needed.
  • Ensure data integrity, consistency, and security.

Required Skills & Experience

  • 2–3 years of experience in data analysis, business intelligence, or a similar role.
  • Strong command of SQL for data querying and transformation.
  • Proficiency in Excel and data visualization tools like Tableau, Power BI, or Looker.
  • Experience with Google Analytics, Mixpanel, or similar web/product analytics platforms.
  • Ability to translate complex data into clear insights and actionable recommendations.
  • Excellent communication skills, both written and verbal.
  • Attention to detail and comfort handling large datasets.

Bonus / Preferred Skills

  • Familiarity with Python or R for data analysis or automation.
  • Experience working in a SaaS or digital product environment.
  • Understanding of customer behavior metrics, growth funnels, and product performance KPIs.
  • Experience with cloud data warehouses (BigQuery, Redshift, Snowflake).
  • Exposure to A/B testing platforms and methodology.

Education Requirements

  • Bachelor’s degree in Data Science, Statistics, Economics, Computer Science, or related field.
  • Equivalent experience or certifications (Google Data Analytics, etc.) will be considered.

Why Join WorkSimpli?

  • Be part of a high-impact SaaS company serving millions of users worldwide
  • Work cross-functionally and directly influence product and business decisions
  • Hybrid work model with flexible schedule (Remote Wednesdays)
  • Health insurance, PTO, and competitive salary + bonus opportunities
  • Culture of collaboration, learning, and innovation