2

Remote Seasonal Data Analyst Jobs (NOW HIRING)

Data Analyst (Remote)

Denver, CO · Remote

$80K - $100K/yr

Salary: $80k100K + bonus + benefits Location: 100% remote for US-based candidates Responsibilities: * Candidate will complete data analytics and data science projects for clients * Candidate will ...

Salary: $80k-100K + bonus + benefits Location: 100% remote for US-based candidates Responsibilities: * Candidate will complete data analytics and data science projects for clients * Candidate will ...

Senior Data Analyst (Remote)

Denver, CO · Remote

$90K - $120K/yr

100% Remote Full-time Senior Analyst At NuView Analytics we help companies accelerate the time to insights from their data. We do this in three ways data analytics, data diligence, and fractional ...

Data Analyst Work Location: Remote (preference for candidates located in the National Capital Region - DMV) Clearance Required: TS or CBP BI or DHS Suitability (clearance adjudicated within the past ...

Data Analyst Work Location: Remote (preference for candidates located in the National Capital Region - DMV) Clearance Required: TS or CBP BI or DHS Suitability (clearance adjudicated within the past ...

Our data analytics advisory services enable our customers to transform data into insights by ... Remote work from home. * Hours of work and days are generally Monday through Friday. Specific ...

Data Analyst Location: Remote Top Skills: * Python * Tableu * SQL Strong * AWS Job Requirement: * * Need to have experience with Data sets to do: * Gain customer insights (segmentation and ...

Our data analytics advisory services enable our customers to transform data into insights by ... Remote work from home. * Hours of work and days are generally Monday through Friday. Specific ...

Data Analyst - Long Term Contract - Remote (US-based) We're seeking a Data Analyst to support the People Development Operations team by automating reporting, streamlining data processes, and creating ...

The Data Analyst helps RightNow Media turn data into trusted, consistent, and actionable insight ... Schedule Full-time, Monday through Friday Work Location Fully remote **Please note we will not ...

Data Analyst Location: Remote Duration: 6 Months (Contract) Demonstrated ability to effectively gather requirements, probe for deeper understanding, and translate deep technical concepts to non ...

Data Analyst

Denver, CO · On-site +1

$80K - $100K/yr

Salary: $80k-100K + bonus + benefits Location: 100% remote for US-based candidates Responsibilities: * Candidate will complete data analytics and data science projects for clients * Candidate will ...

next page

Showing results 1-20

Remote Seasonal Data Analyst information

See salary details

$34K

$82.6K

$136K

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

As of Jun 9, 2026, the average yearly pay for remote seasonal data analyst 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 are the key skills and qualifications needed to thrive as a Remote Seasonal Data Analyst, and why are they important?

A Remote Seasonal Data Analyst needs strong analytical skills, proficiency in statistics, and a relevant bachelor's degree, such as in mathematics, economics, or data science. Familiarity with data analysis tools like Excel, SQL, Python, and visualization platforms such as Tableau or Power BI is typically required. Excellent time management, communication, and self-motivation are crucial soft skills for adapting to remote, project-based work. These competencies ensure accurate data insights, effective collaboration, and productivity in a flexible, deadline-driven environment.

How does working remotely as a seasonal data analyst affect collaboration with team members and access to resources?

As a remote seasonal data analyst, you will typically collaborate with colleagues through digital platforms such as video meetings, chat tools, and shared project management systems. While you may not have face-to-face interactions, most organizations provide robust virtual onboarding and access to necessary databases and analytics tools. Proactive communication is key to staying aligned on goals and deadlines, and you’ll often participate in regular check-ins or team huddles. This setup allows for flexibility in work hours but requires strong self-management and the ability to quickly adapt to remote workflows.

What does a Remote Seasonal Data Analyst do?

A Remote Seasonal Data Analyst is responsible for collecting, processing, and interpreting data during peak periods or specific seasons, often working from a remote location. Their duties typically include analyzing datasets, creating reports, and providing actionable insights to help organizations make data-driven decisions. This role is often temporary, aligning with business cycles such as holidays, tax season, or major events. Remote Seasonal Data Analysts use tools like Excel, SQL, or data visualization software and collaborate with teams virtually. The flexibility of remote work and the seasonal nature make this job ideal for those seeking short-term or project-based opportunities.
More about Remote Seasonal Data Analyst jobs
What cities are hiring for Remote Seasonal Data Analyst jobs? Cities with the most Remote Seasonal Data Analyst job openings:
What states have the most Remote Seasonal Data Analyst jobs? States with the most job openings for Remote Seasonal Data Analyst jobs include:
Infographic showing various Remote Seasonal Data Analyst job openings in the United States as of May 2026, with employment types broken down into 71% Full Time, 27% Part Time, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Full-time

Posted 21 days ago


Job description

Position: Data Quality Analyst
Location: Remote
This is remote role however we are looking for candidates based in central or mountain zone because that's what the timings they must work in.
Try to look for candidates from healthcare background.
What is in it for you?
Looking for a seasonal Data Quality Analyst who will ensure data accuracy, consistency, and reliability by performing data profiling, cleaning, validation, integration, and continuous monitoring while
collaborating with stakeholders to resolve data quality issues.
Roles and Responsibilities
• Data Profiling: Profiling is the process of looking at the structure, patterns, and content of data to find problems like missing information or mistakes. It helps analysts spot hidden issues that could affect the quality of the data.
• Data Cleaning: Cleaning involves correcting or excluding inaccurate, incomplete, or irrelevant data to maintain an error-free dataset for further analysis.
• Data Validation: is carried out to ensure that the data meets predefined standards and business rules. This process confirms that data is accurate, with all required fields populated, correct data types, and values within acceptable ranges.
• Data Integration: Integration is the merging of data from different sources into a unified view. A data quality analyst makes sure that data is consistent and compatible and resolves discrepancies that arise during the integration process.
• Data Monitoring: involves continuously tracking and data to confirm its accuracy, consistency, and reliability over time. A data quality analyst keeps an eye on the data at regular intervals to ensure its accuracy and consistency so that any new problems can be rapidly identified.
Educational Qualifications:
Engineering Degree - BE/ME/BTech/MTech/BSc/MSc.
Technical certification in multiple technologies is desirable.
Mandatory skills
• Requirement gathering, Requirement writing, good communication skills, SQL (Structured Query Language), ETL (extract, transform, and load) tool knowledge for data migration.
• Create and update requirements artifacts such as Solution Requirements Specifications, use cases, and other artifacts as needed for incorporating in google platform. Responsible for ensuring each artifact complies with quality standards set out by the Requirements Team leadership, and for conducting and facilitating requirements review sessions to ensure understanding across business and IT groups.
• Recommend Data quality rules, create data profiles, perform data cleaning and validation, data integration.
• Responsible for maintaining those requirements through the life of the project and raising awareness with mitigating strategies when issues arise that may impact budget or timelines.
• Validate and get all the requirements reviewed by client teams
• Act as a liaison between the delivery teams that are engaged in implementing the solution and the business partners that will be using the solution, as well as interact daily with development engineers and QA analysts.
• Desired Skills: Healthcare domain, Python, R
• Candidate should be fine to work in Central or Mountain times.