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Overnight Remote Data Analyst Jobs in Texas (NOW HIRING)

Data Engineer (Remote Opportunity)

Austin, TX · Remote

$113K - $136K/yr

We are currently looking for a Data Engineer for a 100% remote position on a large federal ... Develop and support data analytics and reporting solutions using Power BI. * Ensure data quality ...

Data Engineer (Remote Opportunity)

Austin, TX · On-site +1

$113K - $136K/yr

We are currently looking for a Data Engineer for a 100% remote position on a large federal ... Develop and support data analytics and reporting solutions using Power BI. * Ensure data quality ...

Clinical Data Scientist

Irving, TX · On-site +1

$140K - $145K/yr

Analyzing the main characteristics of the data often through visualization and summary statistics ... Position is performed in a general office environment, home office, or approved remote workspace ...

This is a part-time, semesterly, and remote role (~5-7 hours/week). What You'll Do * Bring Data Analytics to life by incorporating real-world examples into our existing curriculum. * Lead one 90 ...

This is a part-time, semesterly, and remote role (~5-7 hours/week). What You'll Do * Bring Data Analytics to life by incorporating real-world examples into our existing curriculum. * Lead one 90 ...

Data Processing Engineer

Austin, TX · On-site +1

$111K - $144K/yr

We are also open to candidates who are remote in the United States, but can travel to our headquarters 1-2 times per quarter* We are looking for a passionate Security Data Analyst/Python Developer to ...

Showing results 41-60

Overnight Remote Data Analyst information

What does an overnight remote data analyst do?

An Overnight Remote Data Analyst is responsible for analyzing and interpreting data during nighttime hours, typically outside of regular business hours. This role involves collecting, cleaning, and processing data, generating reports, and providing insights to help organizations make data-driven decisions. Working remotely allows analysts to perform these tasks from anywhere, enabling companies to have 24/7 data coverage and faster turnaround on data projects. Key responsibilities may also include monitoring data pipelines, troubleshooting issues, and ensuring data quality throughout the night.

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

To thrive as an Overnight Remote Data Analyst, you need strong analytical skills, proficiency in statistical methods, and a relevant degree such as in data science, mathematics, or a related field. Familiarity with data analysis tools like SQL, Python, Excel, and visualization platforms such as Tableau, along with experience using remote collaboration systems, is typically required. Attention to detail, self-motivation, and effective written communication are crucial soft skills for succeeding in an independent, asynchronous work environment. These abilities ensure accurate data-driven insights, timely reporting, and reliable collaboration across global teams.

What are the unique challenges faced by overnight remote data analysts, and how can they effectively manage their workload and communication with daytime teams?

Overnight remote data analysts often work with limited real-time supervision and may encounter challenges such as delayed feedback, asynchronous communication, and adjusting to different time zones. To manage these challenges, it's important to establish clear handover procedures, use collaborative tools for documentation, and proactively communicate progress and roadblocks to daytime colleagues. Many organizations also encourage regular check-ins or scheduled overlap hours to ensure alignment and maintain team cohesion. Embracing these practices helps overnight analysts stay connected and productive, despite working non-traditional hours.

What is the difference between Overnight Remote Data Analyst vs Night Shift Data Analyst?

AspectOvernight Remote Data AnalystNight Shift Data Analyst
Work EnvironmentRemote, working overnight hoursOn-site or remote, working overnight hours
CredentialsTypically requires a degree in data analysis, statistics, or related fieldSimilar credentials, often with experience in data tools
Employer & IndustryTech, finance, healthcare companies with 24/7 operationsManufacturing, customer service, or healthcare sectors with night shifts

The main difference is that the Overnight Remote Data Analyst works exclusively from home during overnight hours, while the Night Shift Data Analyst may work on-site or remotely during night shifts. Both roles require similar skills and credentials, but their work environments and industry applications can differ.

What are the most commonly searched types of Remote Data Analyst jobs in Texas?

The most popular types of Remote Data Analyst jobs in Texas are:

What job categories do people searching Overnight Remote Data Analyst jobs in Texas look for?

The top searched job categories for Overnight Remote Data Analyst jobs in Texas are:

What cities in Texas are hiring for Overnight Remote Data Analyst jobs?

Cities in Texas with the most Overnight Remote Data Analyst job openings:

Infographic showing various Overnight Remote Data Analyst job openings in Texas as of August 2026, with employment types broken down into 87% Full Time, and 13% Contract. Highlights an 100% Remote job distribution.

Data Engineer (Remote Opportunity)

VetsEZ

Austin, TX • Remote

$113K - $136K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 20 days ago


Job description

We are currently looking for a Data Engineer for a 100% remote position on a large federal government project. This role focuses on designing, developing, and maintaining scalable data solutions that support healthcare operations, analytics, reporting, and data-driven decision-making.
The engineer will work within a collaborative environment to build and optimize data pipelines, integrate data from multiple sources, and support cloud-based data platforms. The ideal candidate is a hands-on data professional with experience developing ETL/ELT processes, managing large-scale datasets, and implementing secure, reliable data solutions that support mission-critical healthcare systems.
The candidate must reside within the continental US.
Responsibilities
  • Design, develop, and maintain scalable data pipelines and ETL processes.
  • Build and optimize data solutions within Azure cloud environments, including Azure Synapse and Azure Data Factory.
  • Integrate data from multiple sources through APIs and other system integration methods.
  • Develop and support data analytics and reporting solutions using Power BI.
  • Ensure data quality, integrity, security, and performance across data platforms.
  • Collaborate with stakeholders to gather requirements and deliver data-driven solutions supporting healthcare and VA initiatives.
  • Manage and track development activities using Agile methodologies and tools such as Jira.
  • Take on additional tasks and responsibilities as needed to support team objectives and ensure the success of the project.

Requirements
  • Bachelor's degree in Computer Science, Information Systems, Engineering, Data Science, or a related field.
  • 4+ years of experience designing, developing, and supporting data engineering solutions in enterprise data and analytics environments.
  • Experience developing data solutions using Python, Spark, SQL, ETL processes, and data warehousing technologies.
  • Experience with GitHub, data integration, and data analytics solutions.
  • Experience supporting data analytics initiatives within enterprise IT environments.
  • Experience supporting Federal government programs and consulting engagements.
  • Proficiency with Microsoft Word, Excel, PowerPoint, and Visio.
  • Strong organizational, analytical, and stakeholder management skills, with the ability to manage multiple priorities in a fast-paced environment.

Additional Qualifications
  • Experience supporting healthcare organizations, federal agencies, or Veterans Affairs (VA) programs.
  • Familiarity with VA platforms and technologies, including CX Insights, Lighthouse APIs, Medallia, or similar veteran-facing systems.
  • Experience integrating enterprise applications and data sources through APIs and other system integration methods.
  • Knowledge of Azure cloud-native services and modern data platform architectures.
  • Experience using Jira or similar Agile project management and collaboration tools.

Security Clearance Requirements
  • U.S. Citizenship is required.
  • Must be eligible to obtain and maintain a Government clearance.
Benefits:
  • Medical, Dental, and Vision Insurance.
  • 401(k) with Employer Match.
  • Paid Time Off (PTO) and Federal Holidays.
  • Corporate Laptop.
  • Professional Development and Training Opportunities.
  • 100% Remote Opportunity.

Note: Selected candidates will be required to complete fingerprinting at a government facility and undergo a background check as part of the hiring process.
VetsEZ is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, or protected veteran status.
Sorry, we are unable to offer sponsorship at this time.