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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 Software LLC is ...

PR · On-site

¡Transforma el futuro de la salud en Puerto Rico como Data Analyst (Híbrido-PR) en Provider Network Solutions! ???? ???? Tu análisis contribuirá a generar un impacto real en la calidad del ...

US East Coast Role Overview We are seeking a highly analytical and detail-oriented Data Analyst to support pharmaceutical brand, commercial (marketing), and analytics teams. This role plays a ...

We are looking for a driven Jr. Data Analyst to join our consulting team and support the delivery of high-impact services across assigned projects and engagements. This role requires strong ...

We are looking for a driven Jr. Data Analyst to join our consulting team and support the delivery of high-impact services across assigned projects and engagements. This role requires strong ...

PR · On-site

Discover how Consertus is driving transformative change for our clients, our people, and the communities we serve atwww.consertus.com Whats the role We are looking for a driven Jr. Data Analyst to ...

PR · On-site

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

... digital data analyst to set up performance monitoring dashboards and deliver monthly performance reports with insights and recommendations -Continuously research and select the best tools and ...

... digital data analyst to set up performance monitoring dashboards and deliver monthly performance reports with insights and recommendations -Continuously research and select the best tools and ...

Data Analyst information

What is the difference between Data Analyst vs Data Scientist?

AspectData AnalystData Scientist
Required CredentialsBachelor's degree in statistics, mathematics, or related field; often certifications in data analysis toolsBachelor's or master's in computer science, statistics, or related; often advanced certifications or degrees
Work EnvironmentBusiness settings, focusing on data reporting and visualizationResearch and development environments, focusing on predictive modeling and complex algorithms
Employer & Industry UsageRetail, finance, healthcare, and marketing companiesTech firms, research institutions, and large enterprises

While both roles analyze data, Data Analysts primarily focus on interpreting existing data to generate reports and insights, whereas Data Scientists develop predictive models and advanced algorithms to forecast trends and solve complex problems.

What are some common challenges Data Analysts face when working with large datasets, and how are they typically addressed?

Data Analysts often encounter challenges such as data quality issues, missing or inconsistent values, and slow processing times when handling large datasets. These challenges are typically addressed by implementing data cleaning routines, using advanced data management tools, and leveraging programming languages like Python or R for efficient data manipulation. Collaboration with database administrators and IT teams is also common to ensure data integrity and optimize data storage solutions. Staying updated with best practices in data wrangling and visualization helps Data Analysts deliver accurate and actionable insights.

Is 40 too late for data science?

A Data Analyst role is accessible at any age, including at 40, as the field values skills like statistical analysis, programming, and data visualization. Many professionals transition into data science or analytics later in their careers by gaining relevant certifications and experience, making age less of a barrier than skill set and continuous learning.

Will AI replace a data analyst?

AI tools can automate routine data processing and basic analysis tasks, but data analysts are essential for interpreting complex data, making strategic decisions, and communicating insights. The role of a data analyst involves critical thinking, domain knowledge, and skills in tools like SQL and Excel, which are not easily replaced by AI. Therefore, while AI may augment the work of data analysts, it is unlikely to fully replace the role in the near future.

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

To thrive as a 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, Excel, Python or R, and experience with visualization platforms such as Tableau or Power BI are typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help analysts interpret data insights and present findings clearly to stakeholders. These skills are crucial for transforming raw data into actionable business insights that drive informed decision-making.

What Does a Data Analyst Job Do?

Data Analysts use a range of methods to chart, examine, and analyze data for their clients. As a Data Analyst, your job is to analyze a company’s data using a combination of mathematical inspection, transformation, and modeling techniques to simplify and condense it. You may also need to present your reports to stakeholders. Because companies often use the results of the data analysis to make business decisions, Data Analysts need to confirm the accuracy of the data.

What does a Data Analyst do?

A Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed business decisions. They use statistical tools and software to interpret data sets, identify trends, and create visual reports. Data Analysts often collaborate with other departments to provide actionable insights and support strategic planning. Their work helps organizations optimize operations, track performance, and solve business problems using data-driven approaches.

Is it hard to get a data analyst job?

Securing a data analyst position can be competitive, as it often requires strong skills in data manipulation, statistical analysis, and proficiency with tools like Excel, SQL, or Python. Candidates with relevant education, certifications, and experience tend to have better chances, but persistence and continuous skill development are important in the job search process.

What job does a data analyst do?

A data analyst collects, processes, and analyzes large datasets to identify trends, patterns, and insights that support business decision-making. They use tools like Excel, SQL, and data visualization software to interpret data and communicate findings to stakeholders. Strong analytical skills and attention to detail are essential for this role.
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 Data Analyst jobs in Puerto Rico? For Data Analyst jobs in Puerto Rico, the most frequently searched job titles are:

$45K - $55K/yr

Full-time

Medical, PTO

Posted 16 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