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Online Data Analytics Jobs in Puerto Rico (NOW HIRING)

PR · On-site

$95K - $165K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

Finished analysis, not raw ingredients. A clear answer, the reasoning, and a recommendation someone ... You know the data model, the metrics, and where the bodies are buried in the data. You have been in ...

We are seeking an experienced Senior Data Scientist to lead advanced analytics and machine learning initiatives that drive measurable business value. You will bridge the gap between complex datasets ...

We are seeking an experienced Senior Data Scientist to lead advanced analytics and machine learning initiatives that drive measurable business value. You will bridge the gap between complex datasets ...

PR · On-site

... data analysis, reporting, and operational decision-making. The Analyst plays a key role in budget ... Only online, complete applications submitted through the following link will be considered: If you ...

About DECA Analytics DECA Analytics is a Puerto Rico-based professional services firm specializing ... Online Reviews & Reputation Management * Run a structured, non-pressuring review-request process ...

SAP Data Engineer (Puerto Rico)

Santa Isabel, PR · Hybrid

$103K - $124K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Partner with analytics teams to deliver semantic models for SAC, or other BI tools. * Assist with incident resolution, performance tuning, and root cause analysis for SAP data systems. * Collaborate ...

... their online presence and reach a wider international audience through organic search. The SEO ... the digital data analyst to set up performance monitoring dashboards and deliver monthly ...

... their online presence and reach a wider international audience through organic search. The SEO ... the digital data analyst to set up performance monitoring dashboards and deliver monthly ...

Showing results 21-40

Online Data Analytics information

What is online data analytics?

Online data analytics refers to the process of collecting, processing, and analyzing data that is generated through online platforms, such as websites, social media, and digital marketing channels. Professionals in this field use specialized tools and techniques to interpret large datasets, identify trends, and provide actionable insights to help businesses improve their online strategies. The role often involves using software like Google Analytics, Python, and SQL to manage and visualize data. Online data analytics is crucial for optimizing digital campaigns, understanding user behavior, and making data-driven decisions.

What is the difference between Online Data Analytics vs Data Analyst?

AspectOnline Data AnalyticsData Analyst
Required CredentialsBachelor's in Data Science, Analytics, or related fields; proficiency in analytics toolsBachelor's in Statistics, Mathematics, or related fields; proficiency in data tools
Work EnvironmentRemote or online platforms, often freelance or contract-basedOffice or corporate settings, sometimes remote
Employer & Industry UsageTech companies, e-commerce, digital marketingFinance, healthcare, consulting firms
Common Search & Comparison IntentUnderstanding online analytics roles, freelance opportunitiesTraditional data analysis careers, job requirements

Online Data Analytics focuses on analyzing digital data through online platforms, often in freelance or remote settings. Data Analysts typically work in corporate environments with a broader scope of data types. Both roles require similar skills and educational backgrounds but differ mainly in work environment and industry focus.

How do online data analysts typically collaborate with other departments to drive business decisions?

Online data analysts often work closely with teams such as marketing, product development, and IT to interpret data trends and translate findings into actionable strategies. Regular cross-functional meetings and project-based collaborations are common, ensuring that analytical insights align with business goals. Effective communication skills are essential, as analysts must present complex data in a clear, concise manner to non-technical stakeholders. This collaborative approach not only enhances decision-making but also provides analysts with a broader understanding of business operations.

Can you work remotely in online data analytics?

Online data analytics roles are often suitable for remote work, as they primarily involve computer-based tasks such as data collection, analysis, and reporting. Many employers offer remote or flexible schedules, especially for professionals skilled in tools like SQL, Python, or Tableau. However, some positions may require on-site collaboration or access to specific company systems.

Can I become an online data analyst?

Online data analysts analyze data to help organizations make informed decisions and often work remotely. They typically need skills in data analysis tools like Excel, SQL, or Python, and may pursue certifications such as the Microsoft Certified Data Analyst Associate or Google Data Analytics Certificate to enhance their qualifications.

Can I work online as an online data analyst?

Yes, online data analyst roles are common and often involve remote work, allowing professionals to analyze data, create reports, and use tools like Excel, SQL, or Python from any location. Many companies offer flexible schedules and require skills in data visualization and statistical analysis.

What are the key skills and qualifications needed to thrive as an online data analyst?

To thrive as an Online Data Analyst, you need strong analytical skills, proficiency in statistics, and a relevant degree in data science, mathematics, or a related field. Familiarity with tools like SQL, Excel, Python, R, and data visualization platforms such as Tableau or Power BI is typically required, along with certifications like Google Data Analytics. Critical thinking, attention to detail, and effective communication are essential soft skills for translating data insights into actionable business recommendations. These abilities are vital for driving data-informed decisions and delivering value to organizations in digital environments.

What are the most commonly searched types of Data Analytics jobs in Puerto Rico?

The most popular types of Data Analytics jobs in Puerto Rico are:

Analyst, Information Technology (Data Engineer)

Oriental Financial Services LLC

San Juan, PR • On-site

$112K - $134K/yr

Full-time

Re-posted 5 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 event-driven 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 Git-based version control, CI/CD pipelines, and infrastructure-as-code 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 hands-on 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 near-real-time data (Kafka, Kinesis, or event-driven 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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