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Data Analyst Python Sql Jobs in San Juan, PR (NOW HIRING)

... solutions using Python and other appropriate technologies. * Analyze complex operational and ... Work with SQL and other database query languages to extract, transform, and analyze data. * Develop ...

New

Data Scientist

Juncos, PR ยท On-site

$90 - $120/hr

This role will lead advanced analytics projects from the front and will be responsible for end to ... Experience with databases including relational, SQL, and Graph * Programming experience with Python ...

Posted today

... using Python 6. Working with SQL and other DB query languages 7. Leading, collaborating and ... 8. Presenting analysis ideas, progress and results to business partners in clear and impactful ...

Sr Data Scientist

Juncos, PR ยท On-site

$110 - $160/hr

Experience with databases including relational, SQL, and Graph * Programming experience with Python ... Excellent communication skills to communicate analysis in a clear, precise, and actionable manner

... using Python 6. Working with SQL and other DB query languages 7. Leading, collaborating and ... 8. Presenting analysis ideas, progress and results to business partners in clear and impactful ...

Sr Data Scientist 35618

Juncos, PR ยท On-site

$90 - $130/hr

... using Python. * Working with SQL and other DB query languages. * Leading, collaborating and ... Presenting analysis ideas, progress and results to business partners in clear and impactful manner.

New

... using Python. Working with SQL and other DB query languages. Leading, collaborating and ... Presenting analysis ideas, progress and results to business partners in clear and impactful manner.

Sr Data Scientist

Juncos, PR ยท 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 ...

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Data Analyst Python Sql information

See San Juan, PR salary details

$33.3K

$81K

$133.4K

How much do data analyst python sql jobs pay per year?

As of Aug 17, 2026, the average yearly pay for data analyst python sql in San Juan, PR is $81,034.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,300.00 and $95,100.00 per year, depending on experience, location, and employer.

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.
Infographic showing various Data Analyst Python Sql job openings in San Juan, PR as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $81,034 per year, or $39 per hour.

Analyst, Information Technology (Data Engineer)

Oriental Bank

San Juan, PR โ€ข Hybrid

$112K - $134K/yr

Full-time

Re-posted 3 days ago


Job description

OFG Bancorp is looking for an experienced Mid-Level Data Engineer to design, build, and operate scalable data pipelines and data platforms supporting banking and financial services data domains, including customer, account, transaction, and product data.
This role operates within a regulated financial services environment and partners closely with data architecture, analytics, risk, and technology teams to deliver secure, reliable, and analytics ready data products using Snowflake and AWS. Position works hybrid and reports to San Juan, PR.

MAIN DUTIES & RESPONSIBILITIES:

  • Design, develop, and maintain ELT/ETL pipelines for batch and eventdriven data ingestion using Snowflake and AWS.
  • Engineer and optimize Snowflake data models (tables, views, secure data shares) to support analytics, reporting, and downstream consumption.
  • Develop scalable data processing solutions using SQL and Python.
  • Integrate with AWS services such as S3, Lambda, Glue, and IAM to support data ingestion, processing, and access management.
  • Build and maintain pipelines handling financial transactions and customer data, ensuring accuracy, completeness, and auditability.
  • Apply data quality checks, reconciliation logic, and monitoring appropriate for regulated financial data.
  • Partner with data architects to align pipelines with enterprise data models, standards, and governance expectations.
  • Support production deployments using Gitbased version control, CI/CD pipelines, and infrastructureascode practices.
  • Collaborate in Agile delivery teams, contributing to sprint planning, design reviews, and technical documentation.
  • Other duties may be assigned.

MINIMUM REQUIREMENTS:

  • Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field required.
  • Three (3)+ years of professional experience in Data Engineering or a related role required.
  • Minimum education and experience required can be substituted with the equivalent combination of education, training and experience that provides the required knowledge skills and abilities.
  • Strong handson experience with Snowflake, including data ingestion, transformations, and performance optimization.
  • Experience working within AWS cloud environments, particularly with S3 and serverless services.
  • Advanced SQL skills and experience working with large, complex datasets.
  • Proficiency in Python for data processing and pipeline automation.
  • Experience with modern data engineering tools and frameworks (e.g., dbt, Airflow, Spark/PySpark, or equivalent).
  • Familiarity with Git, CI/CD practices, and production support workflows.

PREFERRED QUALIFICATIONS:

  • Experience working in banking, financial services, fintech, or other regulated industries, as well as financial data domains and data governance concepts.
  • Experience supporting analytics or BI tools (e.g., Tableau, Looker, Amazon QuickSight).
  • Exposure to streaming or nearrealtime data (Kafka, Kinesis, or eventdriven architectures).
  • Certifications in SnowFlake, AWS or others preferred (Databricks and dbt).

WORK AUTHORIZATION & ELEGIBILITY:

  • Legally authorized to work in the US is required. This position is of indefinite duration and requires candidates to have permanent or ongoing work authorization.
  • Employee is responsible for maintaining eligible work authorization throughout his tenure with the organization.

Oriental is an Equal Opportunity Employer (EEO/Affirmative Action for Veterans/Workers with Disabilities)

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