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

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Data Analyst Python Sql information

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$33.3K

$81K

$133.4K

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

As of Jul 27, 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.

Is Python and SQL enough for a data analyst?

For a data analyst, proficiency in Python and SQL is fundamental for data manipulation, analysis, and querying databases. However, additional skills such as data visualization, statistical knowledge, and familiarity with tools like Excel or BI platforms are often required to perform comprehensive analysis and communicate insights effectively.

What jobs can you get with SQL and Python?

Data analysts, data scientists, and business intelligence analysts commonly use SQL and Python to extract, analyze, and visualize data. These skills are essential for roles involving data management, reporting, and automation, often requiring knowledge of databases, statistical analysis, and data visualization tools.

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 are Data Analyst Python SQL jobs?

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.

Is 40 too old to become a data analyst?

Age is not a barrier to becoming a data analyst; many professionals successfully transition into the field at various ages. Skills in Python, SQL, and data visualization tools are more important, and continuous learning can help overcome any age-related concerns. Employers value experience and analytical ability regardless of age.

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

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.

Can Python and SQL work together?

Data analysts often use Python and SQL together to efficiently extract, manipulate, and analyze data. Python libraries like pandas and SQL connectors enable seamless integration, allowing analysts to automate workflows and perform complex data processing tasks within a single environment.

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 are popular job titles related to Data Analyst Python Sql jobs in San Juan, PR? For Data Analyst Python Sql jobs in San Juan, PR, the most frequently searched job titles are:
Infographic showing various Data Analyst Python Sql job openings in San Juan, PR as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 83% Full Time, 10% Part Time, 1% Temporary, and 4% Contract. Highlights an 81% Physical, 5% Hybrid, and 14% Remote job distribution, with an average salary of $81,034 per year, or $39 per hour.
Data Analyst III

Full-time

Retirement, PTO

Posted 13 days ago


Job description

IEM is looking for a Full Time - Data Analyst III to work within our Puerto Rico Critical Infrastructure team. The Data Analyst III role is responsible for transforming complex data into actionable insights. This position analyzes large data sets, develops predictive models, and produces reports that guide business decisions. The Data Analyst III ensures data integrity, identifies trends within client populations, and collaborates with teams to streamline data processes. Additionally, the role involves defining data requirements, optimizing reporting, and effectively communicating results in a fast-paced, dynamic environment.

Primary Location:

  • Candidate must live a commutable distance to San Juan or Guaynabo, Puerto Rico.
  • Work in an Office Environment

Travel Requirements:

  • This position may require travel to complete work assignments or attend meetings.

Essential Functions:

  • Work with large data sets.
  • Develop data analysis and forecast models.
  • Extrapolate conclusions from large data sets.
  • Develop, maintain, and optimize data processing scripts and analytical workflows using programming languages such as Python, R, SQL, or similar, as well as low-code platforms including Power Apps, Power BI, and Appian.
  • Design and implement automated data pipelines to extract, transform, and load (ETL) data from multiple sources, leveraging both traditional programming approaches and tools such as Power Platform and Appian integrations.
  • Build reusable code libraries, scripts, and application components to support data validation, transformation, and reporting processes across platforms such as Power BI, Power Apps, and Appian.
  • Integrate data across multiple platforms and systems-including Power Platform (Power BI, Power Apps), Appian, and enterprise databases-to improve accessibility, consistency, and reporting efficiency.
  • Analyze data and generate useful business reports.
  • Maintain databases and conduct routine maintenance as needed to ensure data integrity.
  • Outline the specific data needs for each client and/or business method analysis project (e.g. gather end user business requirements).
  • Communicate with client teams about data changes or requirements.
  • Work with management team to create a prioritized list of needs.
  • Effectively collaborate with IEM's Disaster Response & Recovery management and system development team to understand company needs and devise possible solutions, including the ability to:
  • Identify and recommend efficient streamlined data and reporting processes.
  • Streamline data collection and analysis procedures to ensure fast access to metrics.
  • Optimize joint development efforts through appropriate database use and project design.
  • Communicate results and ideas to key decision makers.
  • Able to work under pressure and in short time frames.
  • Ability to be flexible and adapt quickly to changes during each assignment.

Minimum Qualifications:

  • Experience: Five (5) years or more of experience in data mining, management or analysis consulting.
  • Degree: Bachelor's degree from an accredited institution.
  • Bilingual: English and Spanish.
  • Programming Skills: Demonstrated experience with programming or scripting languages such as Python, R, SQL, or similar, including experience in data manipulation, automation, and reporting.
  • Advanced use of all Microsoft Office applications including Excel, Word, Outlook, Access, and PowerPoint.
  • Intermediate to advanced use of Tableau, Microsoft Project and Visio.

Preferred Qualifications:

  • Experience:Eight (8) years or more of experience in data mining, managementor analysis consulting.
  • Advanced Programming Experience: Experience building scalable data solutions, automation tools, dashboards, or integrations using programming languages and modern data platforms.
  • Knowledge of federally funded programs, processes, policy and requirements.
  • Experience in the operations of FEMA Public Assistance program and CDBG-DR.
  • Basic to intermediate use of internet platforms.
  • Consultative skills.

Additional Information:

  • Office Locations: Often, these offices are either owned by the client we work with or by IEM. All candidates are expected to follow any rules and regulations of the office in which they are required to work for that project.

Benefits and more:

  • 10 paid Holidays
  • Vacation Pay
  • Sick Pay
  • 401 (K) plan with matching
  • Company paid STD and LTD

Equal Employment Opportunity.All IEM employment decisions, including recruiting, hiring, placement, training availability, promotion, compensation, evaluation, disciplinary actions, and termination of employment, if necessary, are made without regard to an individual's race, color, religion, creed, sex (including sexual orientation, gender identity, and gender expression), national origin, ancestry, age, physical or mental disability, medical condition, genetic information, pregnancy (including childbirth and related medical conditions), marital status, military or veteran status, citizenship or immigration status, or any other characteristic protected under applicable law.

Reasonable Accommodation.IEM is committed to providing reasonable workplace accommodations for individuals with disabilities. If you require assistance or reasonable accommodation during any part of the application or employment process, please email IEMhumanresources@iem.com with specific details about the requested accommodation. All accommodation requests are reviewed case-by-case in compliance with applicable law.