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Data Analyst Python Sql Jobs in Puerto Rico (NOW HIRING)

PR · On-site

$16.25 - $21.25/hr

Familiarity with Python for scripting, automation and/or data analysis. * Basic knowledge of SQL and data querying concepts. * Exposure to Power BI or visualization tools. * Familiarity with APIs ...

PR · On-site

Perform various data analytics in SQL and MS Excel using statistical models or industry accepted tools Requirements: * A minimum of 3-4 years of work experience in; Computer Sciences; Data Analysis ...

PR · On-site

Perform various data analytics in SQL and MS Excel using statistical models or industry accepted tools Requirements: * A minimum of 3-4 years of work experience in; Computer Sciences; Data Analysis ...

PR

$48/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Python, R, SQL, Visualization: Power BI (or equivalent tools). Platforms: Databricks or similar analytics platforms * Strong experience with: Data warehousing (EDW). Data modeling & integration (ETL ...

New

Sr Data Scientist

Juncos, PR · On-site

$110 - $150/hr

Data analytics and visualization. * Ability to collect, organize, clean, analyze, and interpret ... Foundational programming or automation experience, including exposure to Python, Codex, AI-assisted ...

PR · On-site

Prepare manufacturer rebate submissions and supporting data files * Validate eligible claims ... PowerBI * Basic SQL knowledge and Access * Financial Analysis * Budgeting * Accounting Closing ...

PR · On-site

Perform data analysis by collecting and analyzing data & patterns, presenting findings ... Basic SQL knowledge, preferred. * Fully bilingual English and Spanish. Skills: * Strong analytical ...

PR · On-site

Maestría en Business Analytics, Data Science, Estadística, Finanzas, Economía o un campo ... Dominio avanzado de SQL, Microsoft Excel, Power BI u otras herramientas de Business Intelligence.

Showing results 21-40

Data Analyst Python Sql information

What is a data analyst Python SQL?

Data Analyst Python SQL jobs involve analyzing and interpreting data to help organizations make informed business decisions. These professionals use Python for data manipulation, automation, and visualization, and SQL for querying and managing data stored in relational databases. Typical tasks include data cleaning, building reports, extracting insights, and creating dashboards. Data Analysts often collaborate with other teams to understand data requirements and communicate findings through presentations or visualizations. Proficiency in both Python and SQL is essential for efficiently handling large data sets and solving complex analytical problems.

What are the key skills and qualifications needed to thrive as a data analyst with Python and SQL?

To thrive as a Data Analyst specializing in Python and SQL, you need strong analytical skills, statistical knowledge, and proficiency in data manipulation, typically supported by a relevant degree or certification. Expertise in Python for data analysis, SQL for database querying, and experience with visualization tools like Tableau or Power BI are commonly expected. Attention to detail, problem-solving abilities, and effective communication are crucial soft skills for interpreting data and presenting actionable insights. These skills help ensure accurate analysis, impactful reporting, and informed decision-making within organizations.

How does a data analyst using Python and SQL typically collaborate with other departments within an organization?

Data Analysts proficient in Python and SQL frequently work alongside teams such as marketing, product development, finance, and operations. They gather requirements from stakeholders, translate business questions into data queries, and present actionable insights through dashboards or reports. Regular meetings and clear communication are essential to ensure that data solutions align with business goals, and Data Analysts often act as a bridge between technical data teams and non-technical decision makers. This collaborative environment helps drive data-informed decisions across the organization.

What is the difference between Data Analyst Python Sql vs Data Scientist?

AspectData Analyst Python SqlData Scientist
Required SkillsExcel, SQL, Python basics, data visualizationAdvanced Python, machine learning, statistical modeling
Work EnvironmentBusiness intelligence, reporting, dashboardsPredictive modeling, research, complex data analysis
Industry UsageFinance, marketing, retail, healthcareTech, finance, research institutions, startups

While Data Analysts with Python and SQL focus on interpreting data, creating reports, and visualizations, Data Scientists build predictive models and perform advanced statistical analysis. Both roles require Python and SQL skills, but Data Scientists typically have a stronger background in statistics and machine learning, making their work more research-oriented.

What jobs can I get if I know Python and SQL?

Data analysts with Python and SQL skills can pursue roles such as data analyst, business intelligence analyst, or data scientist. These positions typically involve data extraction, cleaning, analysis, and visualization, often using tools like pandas, SQL databases, and visualization software. Strong programming and database management skills are essential for these roles.

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

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

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

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

Infographic showing various Data Analyst Python Sql job openings in Puerto Rico as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Analytics Engineering Intern

On Point Strategy LLC

PR • On-site

$16.25 - $21.25/hr

Internship

Re-posted 21 days ago


Job description

Analytics Engineering Intern


Position Summary

At On Point Strategy, we believe that data tells a story, and we make that story visible.


We are looking for an Analytics Engineering Intern who is eager to learn and passionate about transforming information into actionable insights. This role is ideal for students with curiosity for programming, process automation, and building scalable analytical solutions.


As part of our Analytics team, you will collaborate with experienced professionals, contribute to real projects, and strengthen your technical and analytical skills in a dynamic environment.



Key Responsibilities

  • Support the development of automated data workflows and reporting processes.
  • Assist in building scripts and tools using Python to improve operational efficiency.
  • Work with structured and unstructured data to support analytics and automation initiatives.
  • Collaborate on process optimization and automation projects across teams.



Technical Requirements

  • Familiarity with Python for scripting, automation and/or data analysis.
  • Basic knowledge of SQL and data querying concepts.
  • Exposure to Power BI or visualization tools.
  • Familiarity with APIs, automation tools, or workflow optimization concepts is a plus.
  • Intermediate proficiency in Excel and data organization.



Professional Qualifications

  • Currently pursuing a Bachelor’s degree in Statistics, Engineering, Economics, Business Administration, Data Science, Computer Science, or related fields.
  • Interest in data analysis, business intelligence, or analytics consulting.
  • Strong analytical thinking and attention to detail.
  • Good communication and collaboration skills.
  • Ability to learn quickly and work in a team-oriented environment.
  • Self-motivated, organized, and curious mindset.



Preferred Qualifications

  • Experience with Python libraries such as Pandas and NumPy, and familiarity with writing scripts for data processing or automation.
  • Experience building academic or personal projects involving data pipelines, dashboards, or automation.
  • Familiarity with GitHub, Git, or version control tools.
  • Interest in building integrations, automations, or data workflows using APIs and scripting tools.
  • Interest in AI, machine learning, or intelligent automation.


Why Join Us

  • Gain hands-on experience working on real business and analytics projects.
  • Receive mentorship and hands-on exposure to real-world analytics and automation projects.
  • Learn from a multidisciplinary team that combines strategy, analytics, and creativity.
  • Develop technical and professional skills in a collaborative environment.
  • Opportunity for growth and future career opportunities within the organization.



Additional Information

  • Candidates are encouraged to share academic, personal, or GitHub projects related to analytics, automation, programming, or data visualization.