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Latin America Data Analyst Remote Jobs (NOW HIRING)

Bluelight Consulting

$94K - $113K/yr

Working closely with data scientists, analysts, and other stakeholders to deliver high-quality data ... Remote apply for this job

Bluelight Consulting

$134K - $161K/yr

Working closely with data scientists, analysts, and other stakeholders to deliver high-quality data ... Remote

Bluelight Consulting

$134K - $161K/yr

Working closely with data scientists, analysts, and other stakeholders to deliver high-quality data ... Remote

Sentara

Senior Data Analyst - Remote

Norfolk, VA · Remote

$83K - $105K/yr

This position is fully remote. Overview The Senior Data Analyst supports the Batch Reprocessing and Payment Integrity function by designing and delivering the reporting, dashboards, and analytical ...

Sentara Healthcare

Senior Data Analyst - Remote

Norfolk, VA · On-site +1

$83K - $105K/yr

This position is fully remote. Overview The Senior Data Analyst supports the Batch Reprocessing and Payment Integrity function by designing and delivering the reporting, dashboards, and analytical ...

CareFirst

Lead Data Analyst (Remote)

Baltimore, MD · Remote

The purpose of the Lead Data Analyst, Pharmacy is to execute pharmacy business objectives with data and ensure alignment with the goals of Pharmacy and the overall vision of the company. The ...

Sharecare

Payor Data Analyst- Remote

The Payor Data Analyst ensure consistent and effective management of client data within existing Sharecare processes, works to drive data quality and follows governance for Audit Data analytics ...

Futran Tech Solutions Pvt. Ltd.

Data Analyst

Data Analyst Remote Product Operations' focus is to support and educate the people and businesses who use our products through direct interactions and scalable solutions. We develop processes to help ...

Sentara Health

Senior Data Analyst - Remote

$88K - $111K/yr

Sentara Health is hiring a Senior Data Analyst to support the Batch Reprocessing and Payment Integrity function. This role involves designing and delivering reports and dashboards, optimizing data ...

Guitar Center

Sr. Data Analyst (Remote)

Westlake Village, CA · Remote

$90K - $113K/yr

At Guitar Center, the Analytics Team is deploying data to empower the company with insight that drives customer success and business value. We are looking for a Senior Data Analyst to help advance ...

UnitedHealth Group

Senior Data Analyst - Remote

Draper, UT · On-site +1

$80K - $101K/yr

Serve as a senior analytics partner to the Credit team, providing data-driven insights across credit risk, portfolio performance, underwriting, and loss mitigation * Develop, optimize, and maintain ...

Truvani

eCommerce Data Analyst - REMOTE

Austin, TX · On-site +1

ABOUT THE POSITION As Truvani's Junior eCommerce Data Analyst, you will leverage analytics ... Remote Work and Education Stipend * Truvani Monthly Store Credit * Position is available ...

Truvani

eCommerce Data Analyst - REMOTE

Austin, TX · Remote

ABOUT THE POSITION As Truvani's Junior eCommerce Data Analyst, you will leverage analytics ... Remote Work and Education Stipend * Truvani Monthly Store Credit * Position is available ...

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Latin America Data Analyst Remote information

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$34K

$82.6K

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How much do latin america data analyst remote jobs pay per year?

As of Jun 14, 2026, the average yearly pay for latin america data analyst remote in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

How does a Latin America Data Analyst collaborate with regional teams while working remotely?

As a Latin America Data Analyst in a remote setting, you'll frequently collaborate with regional teams through virtual meetings, shared dashboards, and cloud-based data platforms. Communication skills are crucial, as you'll coordinate across different time zones and cultural backgrounds to ensure accurate data collection and analysis. Regular touchpoints with local stakeholders help you stay aligned on business objectives, while asynchronous collaboration tools enable you to share insights, reports, and recommendations efficiently. Building strong relationships remotely can be a challenge, but proactive communication and cultural awareness can help you succeed in this role.

What does a Latin America Data Analyst (Remote) do?

A Latin America Data Analyst (Remote) specializes in collecting, processing, and interpreting data related to Latin American markets, industries, or populations. They use analytical tools to identify trends, make forecasts, and provide actionable insights that support business decisions. Working remotely, they collaborate with teams and stakeholders across different locations, often requiring strong communication skills and cultural understanding of the region. Their responsibilities may include data mining, reporting, and creating dashboards tailored to Latin American data sets.

What is the difference between Latin America Data Analyst Remote vs Latin America Data Scientist Remote?

AspectLatin America Data Analyst RemoteLatin America Data Scientist Remote
Required CredentialsBachelor's in Data, Statistics, or related field; often certifications like Microsoft Excel, Power BIBachelor's or Master's in Data Science, Computer Science, or related; certifications like Python, R, or machine learning courses
Work EnvironmentRemote, collaborative teams, data reporting, and analysis tasksRemote, involves advanced modeling, algorithms, and predictive analytics
Employer & Industry UsageBusiness, finance, marketing, and retail sectorsTech, finance, healthcare, and research sectors

Latin America Data Analyst Remote focuses on analyzing data to generate reports and insights, while Latin America Data Scientist Remote involves developing models and algorithms for predictive analytics. Both roles are remote and require strong analytical skills, but Data Scientists typically need more advanced technical expertise and education.

Is 40 too late for data science?

Age is not a barrier to becoming a data analyst or data scientist; many professionals transition into these roles later in their careers. Success depends on acquiring relevant skills such as programming, statistics, and data visualization, which can be learned through online courses and certifications regardless of age.

Can I work remotely for a US company?

A Latin America Data Analyst can work remotely for a US company if they meet the company's remote work policies and legal requirements. It is important to consider tax implications, work authorization, and any applicable employment laws in both countries. Many US companies hire remote workers internationally, often requiring familiarity with tools like data analysis software and remote collaboration platforms.

Which country is best for data analyst jobs?

For a remote Latin America Data Analyst role, countries with strong tech industries and digital infrastructure, such as Brazil, Mexico, and Argentina, often offer more opportunities. Factors like language skills, time zone compatibility, and local demand for data analysis skills influence job availability and growth prospects.

What are the key skills and qualifications needed to thrive as a Latin America Data Analyst (Remote), and why are they important?

To thrive as a Latin America Data Analyst (Remote), you need strong analytical skills, proficiency in statistics, and experience with data visualization, usually supported by a relevant degree in statistics, mathematics, or economics. Expertise in tools like SQL, Python or R, data visualization platforms (such as Tableau or Power BI), and familiarity with regional datasets are typically required. Excellent communication, cultural awareness, and the ability to work independently across time zones are standout soft skills for this role. These skills ensure accurate data-driven insights, effective cross-cultural collaboration, and successful support of business decisions in a remote environment.

How to make $80,000 a year working from home?

A Latin America Data Analyst working remotely can reach an $80,000 annual salary by gaining advanced skills in data analysis tools like SQL, Python, or R, and obtaining relevant certifications such as CAP or Microsoft Certified Data Analyst Associate. Building experience through diverse projects and demonstrating strong communication skills can also help increase earning potential in remote data analysis roles.
Infographic showing various Latin America Data Analyst Remote job openings in the United States as of June 2026, with employment types broken down into 25% Full Time, and 75% Contract. Highlights an 100% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.
Data Engineer (Azure) - Remote, Latin America

Data Engineer (Azure) - Remote, Latin America

Bluelight Consulting

Remote

$117K - $140K/yr

Full-time

Posted 7 days ago

Job description

Bluelight is a leading software consultancy dedicated to designing and developing innovative technology that enhances users' lives. With a steadfast commitment to delivering exceptional service to our clients, Bluelight excels in its focus on quality and customer satisfaction. Our mission is not only to create cutting-edge applications but also to foster a collaborative and enriching work environment where each team member can grow and thrive. With a presence across the United States and Central/South America, Bluelight is in an exciting phase of expansion, continually seeking exceptional talent to join its dynamic and diverse community.
As an ETL Data Engineer, you will play a critical role in our client's expanding data engineering team, designing, developing, and maintaining data integration processes primarily using Python (PySpark) and Azure Synapse Analytics to ensure the accuracy and availability of analytical data. Working closely with data scientists, analysts, and other stakeholders to deliver high-quality data for insights and decision-making, this position is ideal for a passionate software development professional who thrives in a fast-paced, dynamic environment where everyone's opinions and efforts are valued. By joining our client's growing software consultancy, you will have the opportunity to contribute to challenging, market-standing projects within a collaborative community that deeply values hard work, continuous learning, personal growth, and professional development.
Responsibilities
  • ETL Data Engineering: Develop and maintain ETL data engineering processes using Python (PySpark) within Azure Synapse Analytics Notebooks, and/or Azure Synapse Analytics Pipelines, to ensure efficient data extractions, transformation, and loading.
  • Data Warehousing: Apply your expertise in data warehousing, understanding star schemas, facts, and dimensions, to design and build effective data storage structures in a Massively Parallel Processing (MPP) SWL Pool.
  • Data Source Expertise: Extract data from various sources, including REST APIs, SWL database tables, and CSV files.
  • Azure Synapse Analytics Expertise: Utilize your deep knowledge of Azure Synapse Analytics to design and optimize data notebooks/pipelines for scalability and performance.
  • Data Fabric Concepts: Contribute to the implementation and understanding of other Data Fabric concepts, such as data lakes, lakehouses, delta lakes, and data cataloging, to enhance data management capabilities.
  • Data Modeling: Collaborate with data architects to create data models and schemas that align with business requirements.
  • Data Quality: Implement data quality checks and validation processes to maintain data accuracy and consistency.
  • Performance Tuning: Identify and resolve performance bottlenecks and optimize ETL data notebooks/pipelines to meet SLAs.
  • Monitoring and Troubleshooting: Monitoring ETL jobs, diagnose issues, and implement solutions to ensure data pipeline reliability.
  • Documentation: Maintain comprehensive documentation of ETL data engineering processes, data flows, and data transformations.
  • Collaboration: Work closely with cross-functional teams to understand data requirements and provide support for data-related initiatives.
  • Security and Compliance: Ensure data security and compliance with data governance and privacy standards.

Qualifications
  • Bachelor's degree in Computer Science, Information Technology, or a related field; or equivalent work experience, with certifications related to data engineering or data science (e.g. Azure Data Engineer) being a plus.
  • Proven experience in ETL data engineering with significant expertise in using Python (PySpark) to perform data extraction, transformation, and loading from REST APIs, SQL database tables, and CSV files.
  • Proficiency in using Azure Synapse Analytics resources including Notebooks, Pipelines, Linked Services, and Azure Key Vault.
  • Demonstrated ability to write complex SQL queries, optimize query performance, and work with both SparkSQL and MS SQL to effectively extract, transform, and load data.
  • Knowledge of data integration best practices and tools.
  • Experience with version control systems, such as Git (Azure DevOps).
  • Strong problem-solving and analytical skills, with a keen attention to detail.
  • Excellent communication skills, both verbal and written, with the ability to work collaboratively in a team environment with shifting priorities.
  • Familiarity with big data technologies, machine learning, and data analysis preferred.
  • Experience with data visualization tools (e.g. Power BI, Tableau) and Agile Methodologies a plus.

Being a consultant in our team is a fun, challenging, and rewarding career choice. Your contributions are highly valued by clients, and the work you do often has a direct and significant impact on their business.
You will have the opportunity to work on a variety of projects for our incredible clients, which will accelerate your career growth. You'll collaborate with modern technologies and work alongside some of the best professionals in the industry!
If you're eager to be part of an exciting, challenging, and rapidly growing consultancy, we encourage you to apply. #LI-Remote

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