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Trainee Remote Data Analyst Jobs (NOW HIRING)

Remote Primary Responsibilities: * Be a key or core resource for complex issues, data discrepancies, and fire drills * Assesses and interprets customer requests for feasibility, priority, and ...

Most of our positions are remote, providing flexibility while contributing to meaningful federal projects. Key Skills amp; Qualifications We're Looking For: * Data Analysis amp; Reporting: Experience ...

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 ...

Fully remote anywhere in the Unted States. Employment Type: 6-month contract with possibility to extend or convert. Role Overview We are seeking a highly analytical Data Analyst to support a large ...

100% US Remote Standard Monday-Friday, approximately 8:00 AM - 4:00 PM local time 6-month engagement Seeking a hands-on Data Analyst with strong operational analytics experience supporting HR ...

Sr. Data Analyst - Remote

Manhattan, NY · On-site +1

$94K - $119K/yr

Details: Sr. Data Analyst Duration: Full time / Direct Hire Location: 100% Remote but candidate must be in below states Will hire remote in CA, CT, FL, GA, IL, MD, NH, NJ, NY, NC, PA, TX, UT, WA, DC ...

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 ...

R155816 Data Analyst (Open) How You'll Help Transform Healthcare: Applies technical, analytical ... Onsite is preferred, hybrid or remote work option is available. Candidates residing in the ...

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 ...

Data Analyst

Chicago, IL · On-site +1

$39.43 - $44.43/hr

A data analyst is a highly trained individual that specializes in collecting, organizing, and ... Remote VIVA is an equal opportunity employer. All qualified applicants have an equal opportunity ...

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 ...

Data Analyst

Washington, DC · Remote

$95K - $112K/yr

Description DATA ANALYST Location: Washington, DC | Type: Full-Time | Clearance: TS/SCI + CI ... Work Environment: Full-time support in the Washington, DC area with limited remote work based on ...

Key Responsibilities 1. Data Product Ownership & Quality Assurance * Own analytics-ready datasets ... remote role * Hybrid work option available for select locations (e.g., US or Canada(Toronto ...

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.

About the Role The Data Analyst is responsible for designing, building, and maintaining analytics ... About the Location OncoHealth is committed to remote, hybrid or in office work options. The ...

OVERVIEW Welo Data is looking for English speakers to join a remote project as a Search Quality ... analyzing resumes, or assessing responses. These tools assist our recruitment team but do not ...

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Trainee Remote Data Analyst information

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$22.5K

$88.7K

$144K

How much do trainee remote data analyst jobs pay per year?

As of Jun 9, 2026, the average yearly pay for trainee remote data analyst in the United States is $88,664.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,000.00 and $108,500.00 per year, depending on experience, location, and employer.

What is a Trainee Remote Data Analyst job?

A Trainee Remote Data Analyst is an entry-level role where you learn to collect, clean, analyze, and interpret data to support business decisions. Working remotely, you typically use tools like Excel, SQL, and Python to identify trends and insights. The role involves training under experienced analysts, handling real-world datasets, and developing problem-solving skills. It’s a great starting point for a career in data analytics, offering flexibility and hands-on experience in a growing field.

What are the key skills and qualifications needed to thrive in the Trainee Remote Data Analyst position, and why are they important?

To thrive as a Trainee Remote Data Analyst, a foundational knowledge of statistics, data analysis, and spreadsheet tools—often gained through coursework or a related degree—is essential. Familiarity with data visualization software (like Tableau or Power BI), programming languages (such as Python or SQL), and basic understanding of databases are commonly required technical proficiencies. Strong problem-solving abilities, attention to detail, and effective time management help trainees excel in a remote setting. These skills and traits ensure accurate analysis, meaningful insights, and successful collaboration in virtual data-driven environments.

What does a typical workday look like for a Trainee Remote Data Analyst?

As a Trainee Remote Data Analyst, your day will often include cleaning and organizing datasets, running queries, generating reports, and assisting with data interpretation for business or project needs. You’ll likely attend virtual team meetings to discuss analysis results, receive mentorship, and align on ongoing tasks. The role also involves learning new data tools, following structured training programs, and collaborating with senior analysts to support broader analytics goals. This remote position requires proactive communication and the ability to manage your own workflow while working closely with distributed teams.

More about Trainee Remote Data Analyst jobs
What cities are hiring for Trainee Remote Data Analyst jobs? Cities with the most Trainee Remote Data Analyst job openings:
What are the most commonly searched types of Trainee Data Analyst jobs? The most popular types of Trainee Data Analyst jobs are:
What states have the most Trainee Remote Data Analyst jobs? States with the most job openings for Trainee Remote Data Analyst jobs include:
Infographic showing various Trainee Remote Data Analyst job openings in the United States as of May 2026, with employment types broken down into 1% Internship, 1% As Needed, 31% Full Time, 40% Part Time, and 27% Contract. Highlights an 96% Physical, 2% Hybrid, and 2% Remote job distribution, with an average salary of $88,664 per year, or $42.6 per hour.
Data Analyst

Contractor

This job post has expired today. Applications are no longer accepted.


Job description

Position: Senior Data Analyst
Location: Remote
Primary Responsibilities:
  • Be a key or core resource for complex issues, data discrepancies, and fire drills
  • Assesses and interprets customer requests for feasibility, priority, and complexity and documents and delegates those requests within an agile/intake tool
  • Consult with People Analytics and People Analytics team for developing and building prioritized and standard solutions.
  • Develop innovative solutions for both structured and unstructured data
  • Create and maintain internal process documentation and customer-facing help documents
  • Lead projects and change initiatives aligned to key priorities of People Analytics and People Analytics customers
  • Understands priorities and organizes prescribed and non-prescribed work to meet or exceed deadlines and expectations
  • Deeply understand and innovate underlying data structures of standard reporting (complex join criteria, table sources, data types, data definitions, dataflows) and be able to find, validate, combine, and export raw and derived data assets.
  • Execute intermediate programming and/or scripting in at least one of our core technologies to build applications.
  • Leads functional calls for technical subjects (like weekly calls with data management or tech teams)
  • Leads data validation efforts and leads data optimization solutions by requesting changes to core solutions in our data lake
  • Reviews work of others and provides guidance on execution, best practices, and areas for improvement
  • Works with minimal guidance; seeks guidance on only the most complex tasks
  • Proactively keep data secure and decommission legacy content in our environment