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

SOLX HOLDINGS LLC

PR · On-site

... SQL. · Strong problem-solving, analytical, and troubleshooting skills. · Ability to work ... Technical Skills Category Relevant Skills Programming Languages Python, C++ Enterprise Systems ...

SOLX HOLDINGS LLC

PR · On-site

... SQL. · Strong problem-solving, analytical, and troubleshooting skills. · Ability to work ... Technical Skills Category Relevant Skills Programming Languages Python, C++ Enterprise Systems ...

SoftwareOne

PR · On-site

... as analytics and BI tools such as Power BI, SQL, Data Lakes, and Data Warehouses. * Ability to design end-to-end data and AI solutions and architectures, considering governance, security, and ...

New

Vast

PR · On-site

$95K - $165K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

Advanced SQL: window functions, CTEs, query tuning, and the judgment to work confidently in messy ... Python or R for analysis and modeling (pandas, scikit-learn, or equivalent). * Forecasting and time ...

Infotech Sourcing

Linguist III

PR · Remote

Must be able to code in Python (must) and query databases using SQL, other coding languages used for data analysis are a plus. Must be able to independently work through complex requests and perform ...

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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 job categories do people searching Data Analyst Python Sql jobs in Puerto Rico look for?

The top searched job categories for Data Analyst Python Sql jobs in Puerto Rico 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:

Data Analyst Python Sql jobs near you
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.

Analyst, Retail Channels (Voice of Customer)

Oriental Bank

San Juan, PR • Hybrid

Full-time

Re-posted 3 days ago

Job description

The Analyst, Retail Channels (Voice of Customer) Ensure a consistent, seamless, and frictionless customer experience across all Retail Channels service touchpoints. This role integrates analytics, quality assurance, incident management, customer journey design, and continuous Voice of the Customer monitoring to drive sustainable improvements in processes, policies, and customer-facing tools. Position will be working hybrid based in San Juan, PR.

MAJOR DUTIES & RESPONSIBILITIES:

  • Quality Management & Experience Monitoring: Monitor CSAT/NPS/NDS and internal quality metrics; analyze complaints to identify root causes/risks; share insights with stakeholders; and validate corrective actions via closed-loop follow-up.
  • End-to-End Customer Profile Analysis (E2E): Assess the full journey from first contact through resolution; analyze wait times/transfers/friction/self-service; and deliver actionable recommendations.
  • Customer Journey Design, Optimization & Documentation: Maintain journey maps; identify inefficiencies and abandonment points; propose redesigns to reduce friction; and coordinate cross-functional validation.
  • Analytics & Reporting: Perform sentiment/trend analysis; produce incident and insight reporting; contribute to Remote Network and Channel Communications; and track CX metrics.
  • Script Automation & Optimization: Develop/maintain scripts across channels; route for approvals; and ensure alignment with policies, empathy guidelines, and tone of voice.
  • Field Observation & Voice of the Customer: Conduct observations; compare actual vs. designed experience; document findings; and recommend process/policy/tool improvements.

EDUCATION AND EXPERIENCE:

  • Associate or bachelor's degree in industrial engineering, Business Administration, Information Systems, or related fields.
  • At least three (3) years' experience in a financial services company or related work as a Data Analysis 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.
  • Experience in data analysis, customer experience, operational quality, incident management, or continuous improvement.
  • Fully bilingual - English and Spanish (verbal and written) required.
  • Strong communication skills, critical thinking, and cross-functional collaboration capabilities.
  • Intermediate to Advanced skill and proficiency using Microsoft Office (Word, Excel, Access, Power Point, Outlook), Power Business Intelligence and MS SQL, or other software applications to retrieve data, create spreadsheets, and reports required.
  • High technological proficiency; a tech-savvy individual comfortable learning and adopting new tools, systems, digital platforms, and analytical technologies.

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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