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Data Analyst Night Shift Remote Jobs (NOW HIRING)

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Data Analyst

New York, NY · Remote

$55 - $60/hr

This is a remote opportunity. About this Position Join a fast-paced Product Operations team focused ... Analyze operational data to identify trends, risks, and improvement opportunities * Build and ...

Apex Informatics

Data Analyst

Job Title- Data Analyst Strong Tableau Location- Remote Duration- 06 Months Contract Job I'd- UHGJP00097212 Job Details: What are the top 5-10 responsibilities for this position (please be detailed ...

Tapcheck

Data Analyst

If remote, Ideally, candidates will sit in the following states: AL, AZ, CA, CO, DC, DE, FL, GA, ID ... Requirements * 2 to 4 years in a data analyst or business intelligence role where you owned metrics ...

Berkeley Research Group

Data Analyst

$80K - $100K/yr

This is a remote opportunity based across the United States, and this position reports to the Data Analysis and Business Systems Manager. Responsibilities * Support the maintenance of financial data ...

Tapcheck

Data Analyst

Plano, TX · Remote

If remote, Ideally, candidates will sit in the following states: AL, AZ, CA, CO, DC, DE, FL, GA, ID ... Requirements * 2 to 4 years in a data analyst or business intelligence role where you owned metrics ...

PTP

Data Analyst - REMOTE

Austin, TX · On-site +1

We are looking for a Data Analyst to help us design and deliver CX solutions that provide our clients with a beautiful customer journey that achieves results. At PTP we value aptitude and creativity ...

Chenega Corporation

Data Analyst

San Antonio, TX · Remote

Summary C2 ALASKA, LLC Remote The Data Analyst supports the Extremity Trauma and Amputation Center of Excellence (EACE) through advanced data analytics, reporting, visualization, and database ...

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

Senior Healthcare Data Analyst - Remote

Centre, AL · Remote

$81K - $102K/yr

City/State Virginia Beach, VA Work Shift First (Days) Overview: Sentara is hiring a Senior Healthcare Data Analyst! This position is fully remote. Overview The Healthcare Data Analyst Senior provides ...

Arsenault Inc

Data Analyst (REMOTE)

Phoenix, AZ · Remote

$115K - $126K/yr

Ensures business data and analysis requirements are met by properly applying data concepts, including data structures, collection and cleansing, and structured and unstructured data analysis and ...

C2 Alaska, LLC

Data Analyst

San Antonio, TX · Remote

Overview C2 ALASKA, LLC Remote The Data Analyst supports the Extremity Trauma and Amputation Center of Excellence (EACE) through advanced data analytics, reporting, visualization, and database ...

Inficare Technologies

Data Analyst

Remote Duration: Long term About the Role: As a Data Analyst, you will perform basic analysis to ensure that recommendations and business conclusions are backed by thorough data research and findings.

Govcio LLC

SME Data Analyst (Remote)

$110K - $130K/yr

... data calls, analytics and dashboard development, customer relationship management and various other programmatic needs. This will be a fully remote position. Responsibilities * Facilitate the needs ...

Rural Mutual Insurance

Data Analyst

Madison, WI · On-site +1

We seek a Data Analyst to play a key role in delivering high-impact analytics and reporting ... This is a remote position. * Candidates must live and work in Wisconsin. * Requires eligibility to ...

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Data Analyst Night Shift Remote information

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$34K

$82.6K

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How much do data analyst night shift remote jobs pay per year?

As of Jul 8, 2026, the average yearly pay for data analyst night shift 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.

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

AspectData Analyst Night Shift RemoteData Scientist Night Shift Remote
Required CredentialsBachelor's in Statistics, Data Analysis, or related field; often certifications like Microsoft Excel, SQLBachelor's or Master's in Computer Science, Statistics, or related; certifications in Python, R, Machine Learning
Work EnvironmentRemote, night shift, primarily data processing and reportingRemote, night shift, involves advanced modeling and algorithm development
Employer & Industry UsageBusiness, finance, healthcare, retailTech, finance, healthcare, research institutions

Data Analyst Night Shift Remote roles focus on data collection, cleaning, and reporting, requiring strong analytical skills. Data Scientist Night Shift Remote positions involve building predictive models and advanced analytics. Both roles are remote and night-shift, but Data Scientists typically need more advanced technical skills and higher education.

What does a Data Analyst Night Shift Remote do?

A Data Analyst Night Shift Remote is responsible for collecting, processing, and analyzing data to provide actionable insights, but works outside typical business hours and usually from a remote location. Their primary duties may include generating daily reports, monitoring data trends, maintaining databases, and supporting teams in different time zones. This role is ideal for individuals who prefer or need to work overnight and thrive in independent, virtual work environments. Additionally, night shift remote analysts often help ensure continuous data operations and may address urgent issues that arise after standard business hours.

What are the key skills and qualifications needed to thrive as a Data Analyst Night Shift Remote, and why are they important?

To thrive as a Data Analyst Night Shift Remote, you need strong analytical skills, proficiency in statistics, and a relevant degree in fields like mathematics, computer science, or economics. Familiarity with data visualization tools (such as Tableau or Power BI), SQL, and programming languages like Python or R is typically required. Excellent time management, self-motivation, and clear communication are crucial soft skills, especially in a remote and overnight setting. These skills ensure accurate data-driven insights, effective collaboration across time zones, and high productivity in a remote work environment.

How does working as a night shift remote Data Analyst impact communication and collaboration with daytime teams?

As a night shift remote Data Analyst, you'll often collaborate asynchronously with colleagues who work standard daytime hours. Effective communication is key; you'll likely use project management tools, detailed handover notes, and regular status updates to ensure alignment. While real-time meetings may be limited, most organizations schedule overlap hours or utilize messaging platforms to address urgent questions. Proactively reaching out and documenting your work clearly helps maintain smooth workflows and fosters strong team connections, even across time zones.
More about Data Analyst Night Shift Remote jobs
What cities are hiring for Data Analyst Night Shift Remote jobs? Cities with the most Data Analyst Night Shift Remote job openings:
What states have the most Data Analyst Night Shift Remote jobs? States with the most job openings for Data Analyst Night Shift Remote jobs include:
What job categories do people searching Data Analyst Night Shift Remote jobs look for? The top searched job categories for Data Analyst Night Shift Remote jobs are:
Data Analyst Night Shift Remote jobs near you
Infographic showing various Data Analyst Night Shift Remote job openings in the United States as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 86% Full Time, 6% Part Time, 1% Temporary, and 5% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Data Analyst (Excel) - Remote

YO AI Labs

San Francisco, CA • Remote

Full-time

Posted 7 days ago

Job description

Job Title: Data Analyst (Excel)

Job Type: Contractor

Location: Remote

Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.

Key Responsibilities:

  • Conduct in-depth data analysis using Microsoft Excel to extract actionable insights and support decision-making across teams.
  • Collaborate with project stakeholders to understand data requirements and translate them into meaningful analyses.
  • Review, clean, and validate datasets to ensure accuracy, consistency, and integrity.
  • Develop clear, concise reports and visualizations to communicate findings to both technical and non-technical audiences.
  • Identify trends, anomalies, and opportunities in complex datasets, contributing to strategic initiatives.
  • Document methodologies, results, and recommendations with meticulous attention to detail.
  • Contribute expertise to enhance data-driven decision-making processes within the customer's team.

Required Skills and Qualifications:

  • Proven experience performing data analysis in a business environment using Microsoft Excel as the primary tool.
  • Exceptional attention to detail and accuracy in data processing and reporting.
  • Strong written and verbal communication skills, with the ability to clearly articulate analytical findings.
  • Demonstrated ability to work collaboratively across teams to drive business outcomes.
  • Solid understanding of Excel functions, formulas, and data visualization tools.
  • Proficiency in identifying data inconsistencies and implementing corrective measures.
  • Experience working in fast-paced, data-driven organizations.

Preferred Qualifications:

  • Experience supporting cross-functional teams with data insights to inform business strategy.
  • Background in presenting analytical outcomes to diverse audiences.
  • Familiarity with additional data analysis tools or business intelligence platforms.