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Part Time 1099 Data Analyst Jobs (NOW HIRING)

ECS

Senior Data Analyst (Part-Time)

Arlington, VA · On-site

$98.30K - $124K/yr

Everforth ECS is seeking a Senior Data Analyst (Part-Time) to work in our Arlington, VA office. Please Note: This position is contingent upon additional funding. Responsibilities include: * Work as ...

Amdex Corporation

Data Analyst IV

Atlanta, GA · On-site

$50 - $60/hr

NACI Data Engineer & Analyst, Part-time with Full Time Potential AMDEX.ai The Art of Data Science We are a seasoned full-spectrum data solutions firm. We deliver insights, strategies, data analytics ...

New

BOOZ, ALLEN & HAMILTON, INC.

Data Analyst, Mid

Tampa, FL · On-site

$61.90K - $141K/yr

As a data analyst, you love diving into data and turning it into meaningful insights. With the ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Futran Tech Solutions Pvt. Ltd.

Sr. Data Analyst

$88K - $111.10K/yr

We are requesting a part-time (50%) Sr Data Analyst contractor from the US, who can be available as early as 730 PT to work with our offshore IST team and support multiple projects. The location ...

Booz Allen Hamilton, Inc.

Data Analyst, Senior

Columbia, MD · On-site

$85.30K - $107.70K/yr

As data analyst, you love diving into data and turning it into meaningful insights. With the ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

BOOZ, ALLEN & HAMILTON, INC.

Data Analyst, Mid

Tampa, FL · On-site

$61.90K - $141K/yr

As a data analyst, you love diving into data and turning it into meaningful insights. With the ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Chicago Public Schools

Senior Data Analyst

Chicago, IL · On-site

$76K - $100.50K/yr

The Senior Data Analyst plays a crucial role in supporting data-driven decision-making at Chicago ... The Chicago residency requirement does not apply to temporary/part-time positions, however, all CPS ...

LinTech Global

Senior Data Analyst (part-time)

Arlington, VA · On-site

$99.10K - $125K/yr

Expert proficiency in common data science tools, including scripted languages (such as SQL, Python, R, and Java Scripts), Integrated Development Environment and analytics platforms, open-source ...

Chicago Public Schools

Senior Data Analyst

Chicago, IL · On-site

$88.60K - $111.80K/yr

The Senior Data Analyst plays a crucial role in supporting data-driven decision-making at Chicago ... The Chicago residency requirement does not apply to temporary/part-time positions, however, all CPS ...

Booz Allen Hamilton, Inc.

Cyber Data Analyst

Chantilly, VA · On-site

$62K - $141K/yr

Share Cyber Data Analyst The Opportunity: As a cyber data analyst, you love diving into data and ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

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Part Time 1099 Data Analyst information

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$82.6K

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How much do part time 1099 data analyst jobs pay per year?

As of May 28, 2026, the average yearly pay for part time 1099 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 is the difference between Part Time 1099 Data Analyst vs Part Time 1099 Data Scientist?

AspectPart Time 1099 Data AnalystPart Time 1099 Data Scientist
Required CredentialsTypically a bachelor's degree in data analysis, statistics, or related fieldUsually a master's degree or higher in data science, statistics, or related field
Work EnvironmentProject-based, freelance or contract roles, often in various industriesSimilar freelance roles, often involving complex data modeling and machine learning
Employer UsageUsed by companies seeking flexible data analysis supportUsed by organizations needing advanced data science solutions

Part Time 1099 Data Analysts and Data Scientists often share similar work environments and credential requirements, but Data Scientists typically require higher education and handle more complex tasks. Both roles are popular in freelance and contract settings, serving different levels of data complexity.

More about Part Time 1099 Data Analyst jobs
What cities are hiring for Part Time 1099 Data Analyst jobs? Cities with the most Part Time 1099 Data Analyst job openings:
What are the most commonly searched types of 1099 Data Analyst jobs? The most popular types of 1099 Data Analyst jobs are:
What states have the most Part Time 1099 Data Analyst jobs? States with the most job openings for Part Time 1099 Data Analyst jobs include:
What job categories do people searching Part Time 1099 Data Analyst jobs look for? The top searched job categories for Part Time 1099 Data Analyst jobs are:
Part Time 1099 Data Analyst jobs near you
Infographic showing various Part Time 1099 Data Analyst job openings in the United States as of May 2026, with employment types broken down into 17% As Needed, 49% Full Time, 17% Part Time, and 17% Temporary. Highlights an 95% Physical, and 5% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.
Senior Data Analyst (Part-Time)

Senior Data Analyst (Part-Time)

ECS

Arlington, VA • On-site

$98.30K - $124K/yr

Part-time

Posted 18 days ago

Job description

Everforth ECS is seeking a Senior Data Analyst (Part-Time) to work in our Arlington, VA office. Please Note: This position is contingent upon additional funding.
Responsibilities include:
  • Work as RISC liaison to CIO for server/system issues related to AWS and Azure.
  • Write programming codes, such as DAX and data Mash-up(M) for data manipulation, sorting, summarizing, and reporting.
  • Perform analysis of data for Extraction, Transformation, and Load (ETL) strategies, pattern recognition, and application of analytical tools.
  • Review, analyze, and modify existing products including coding, debugging, testing, and documenting.
  • Provide guidance to coworkers on business and technical issues affecting projects, such as data access, data quality, storage capacity, and analytic tools and software.
  • Assist with training and conference development which may include presentations to large audiences.
  • Engineer data analytic solutions, including prototyping, proof of concept, and full implementation.
  • Evaluate, assess, document, and test data security and continuity of operations for systems and programs.
  • Ensure compatibility between equipment and software, analyze operational/systems requirements, support design reviews, and present technical briefings.
  • Work as RISC liaison to CIO for server/system issues related to AWS and Azure.
  • Coordinate with staff and customers to identify business and technical requirements.
  • Produce written documentation and artifacts for all work completed, including the translation of user requirements into technical designs.
  • Assist the agency in the development of programming and visualization solutions.
  • Troubleshoot and provide support on existing projects or application efforts.
  • Understand the concepts supporting relational databases, data warehousing, data governance, data access, data quality and related areas.
  • Engineer data analytic solutions, including prototyping, proof of concept, and full implementation.
  • Evaluate, assess, document, and test data security and continuity of operations for systems and programs.
  • Ensure compatibility between equipment and software, analyze operational/systems requirements, support design reviews, and present technical briefings.
  • Analyze Postal Service operations to identify potential fraud schemes, actors, and methods.
  • Participate in site visits with staff and interpret in-the-field observations, identify corresponding data, perform analysis, and identify broader findings.

  • Must be able to obtain a USPS Public Trust
  • Degree in Computer Science, Information Technology, Data Analytics, or related field.
  • 7+ years' experience and skill writing coding languages (such as SQL, Python, R, and Java Scripts).
  • 3+ years' experience working with Microsoft Power Platform (including Power BI, Power Automate, Power Apps) and other business intelligence applications.
  • 1+ year experience working with AWS or Azure services such as Databricks, Data Factory, and Data Lake.
  • In-depth knowledge of scripted languages such as SQL, Python, R, and Java Scripts and the proven ability to create solutions in complex environments, including the use of programming languages to create datasets, visualizations, and interactive reports in various business intelligence applications.
  • Skill applying analytical techniques, methods, and processes to business problems demonstrated through a history of accepted modeling and analyses that resulted in meaningful business impact. These include working with unstructured or structured data and converting those data sets using a variety of analyses such as optimization, simulation, classical and spatial statistics, and/or programming languages.
  • Strong writing and documentation skills to capture collection of source data, methodology from business rules, and visualization deployment from a myriad of sources and interactions with various stakeholders.
  • Ability to facilitate between business owners and end-users who need to communicate with database administrators and traditional IT support staff.
  • Ensure that quality/security guidelines are followed.
  • Strong relational database and querying languages experience.
  • Strong verbal and written communication skills.
  • Must be able to work effectively in a team environment.
  • Understand and follow a software development lifecycle (analysis, design, development, coding, testing, debugging, and documenting).
  • Knowledge of ODBC connection strings, and other external data source connection protocols.
  • Expert proficiency in common data science tools, including scripted languages (such as SQL, Python, R, and Java Scripts), Integrated Development Environment and analytics platforms, open-source solutions, commercial off-the- shelf tools and hardware-based capabilities to support the data analytic development process and creating models, dashboards, and reports.
  • Knowledge and experience using business intelligence applications and reporting technologies/methodologies including Data Analytics Expressions (DAX), data Mash-up(M), and Microsoft Power Platform (e.g., Power BI, Power Apps, Power Automate, etc.).
  • Knowledge of AWS or Azure Services, including Databricks, Data Factory, and Data Lake.
  • Knowledge of Extraction, Transformation, and Load (ETL) strategies, pattern recognition, and application of analytical tools.
  • Ability to facilitate between business owners and end-users who need to communicate with database administrators and traditional IT support staff.
  • Experience applying analytic techniques to detect fraud in Postal Service operations.
  • Extensive background in statistical analysis and skilled in advanced statistical methods and software.
  • Able to work independently or with teams across functions professionally.
  • Capable of writing concise, comprehensive communications on complex issues for the intended audience.
  • Able to communicate methodology and results clearly in writing and verbally, including findings from research.

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