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Remote Part Time Data Analytics Jobs in Reston, VA

micro1 AI

Private Funds Attorney - Remote

Washington, DC · Remote

$80 - $105/hr

Remote We are seeking seasoned Funds Attorneys for a part-time role at the forefront of legal AI ... Collaborate with product and research teams to refine data, guidelines, and best practices for AI ...

micro1 AI

Engineering AI Evaluator (PhD)

Washington, DC · Remote

$80 - $90/hr

Remote micro1 is engaging PhD-level Engineers in Electrical, Mechanical, or Chemical disciplines to ... Analyze data and interpret results to inform AI training datasets with precision * Apply ...

SANS Institute

PT Quality Control Analyst

Bethesda, MD · On-site +1

$26 - $30/hr

... data collection for training and improving Quality Tester performance * Track and update daily ... Work Schedule * Part-time, less than 30 hours per week * Typical schedule is Monday-Thursday, 8:00 ...

Novastar Prep

IB Subjects Tutor (Remote)

Mclean, VA · On-site +1

$25 - $35/hr

Novastar Prep is seeking dedicated part-time tutors to join our team. Whether you're an experienced ... IB Mathematics Support students in IB Math Applications & Interpretation (AI) and IB Math Analysis ...

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All JobsData Analytics JobsRemote Part Time Data Analytics JobsRemote Part Time Data Analytics Jobs in Reston, VA

Remote Part Time Data Analytics information

See Reston, VA salary details

$25

$56

$98

How much do remote part time data analytics jobs pay per hour?

As of Jul 14, 2026, the average hourly pay for remote part time data analytics in Reston, VA is $56.96, according to ZipRecruiter salary data. Most workers in this role earn between $45.77 and $64.52 per hour, depending on experience, location, and employer.

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

To thrive as a Remote Part Time Data Analyst, you generally need strong analytical skills, proficiency in statistics, and a relevant degree or coursework in data analysis, mathematics, or a related field. Familiarity with tools such as Excel, SQL, Python or R, and data visualization platforms like Tableau or Power BI is typically required. Excellent time management, communication, and self-motivation are standout soft skills for working independently and collaborating remotely. These abilities are crucial for accurately interpreting data, delivering actionable insights, and maintaining productivity in a flexible, remote work environment.

How to make 2000 a week working from home?

A remote part-time data analytics professional can earn $2,000 weekly by combining multiple freelance or contract projects, leveraging skills in data analysis tools like Excel, SQL, or Python. Building a strong portfolio, gaining certifications, and securing high-paying clients or employers can help achieve this income level, often requiring a flexible schedule and consistent effort.

What are remote part-time data analytics jobs?

Remote part-time data analytics jobs involve analyzing data sets to uncover trends, insights, and patterns, all while working from a location outside a traditional office and on a reduced hours schedule. Professionals in this role use tools like Excel, SQL, or Python to clean, interpret, and visualize data for organizations to support decision-making. These jobs are ideal for individuals seeking flexibility, such as students or those with other commitments, and can be found across many industries including marketing, healthcare, finance, and technology. Typical tasks include creating reports, building dashboards, and supporting data-driven projects. Remote part-time positions usually require strong analytical skills, attention to detail, and the ability to communicate findings effectively.

Is it possible to get a remote job as a data analyst?

Yes, remote data analyst positions are widely available and often require skills in data visualization, SQL, and Excel. Many companies offer part-time remote roles that can be performed from anywhere, provided the candidate has reliable internet and relevant analytical tools. Certifications like Google Data Analytics or Microsoft Excel can enhance prospects for remote work.

Is 40 too late for data science?

Age is not a barrier to entering data science or remote part-time data analytics roles, as skills and experience are more important. Many professionals successfully transition into data analytics later in their careers by acquiring relevant skills such as programming, statistics, and tools like Excel or SQL, often through online courses or certifications.

What is the difference between Remote Part Time Data Analytics vs Remote Part Time Data Analysis?

AspectRemote Part Time Data AnalyticsRemote Part Time Data Analysis
Required CredentialsTypically a degree in data science, statistics, or related field; certifications like Google Data Analytics or Microsoft ExcelSimilar credentials; often includes degrees in statistics, mathematics, or related areas; certifications are common
Work EnvironmentRemote, flexible hours, project-based tasksRemote, flexible hours, often involves data cleaning, visualization, and reporting
Employer & Industry UsageTech companies, finance, marketing agenciesMarket research firms, healthcare, e-commerce

Remote Part Time Data Analytics and Remote Part Time Data Analysis are closely related roles involving working with data remotely on a part-time basis. Data Analytics often emphasizes interpreting data to inform decisions, while Data Analysis may focus more on data cleaning and reporting. Both roles require similar skills, credentials, and work environments, making them interchangeable in many contexts.

What are some common challenges faced by remote part-time data analysts, and how can they be addressed?

Remote part-time data analysts often encounter challenges such as maintaining effective communication with team members, managing time across multiple projects, and accessing secure data remotely. To address these, it's important to establish clear communication channels—such as regular video meetings or dedicated chat groups—and use robust project management tools. Additionally, familiarizing yourself with your organization's data security protocols and time-tracking practices can help ensure a smooth workflow and data integrity while working remotely.

How can I make $100,000 a year working from home?

A remote part-time data analytics role can potentially reach a $100,000 annual income if you have advanced skills in data analysis, programming, and tools like SQL or Python, along with relevant certifications. Earning this level often requires building a strong portfolio, gaining experience, and possibly working multiple clients or projects simultaneously to increase income. Flexibility in scheduling and continuous skill development are key factors in achieving higher earnings remotely.
What are popular job titles related to Remote Part Time Data Analytics jobs in Reston, VA? For Remote Part Time Data Analytics jobs in Reston, VA, the most frequently searched job titles are:
What job categories do people searching Remote Part Time Data Analytics jobs in Reston, VA look for? The top searched job categories for Remote Part Time Data Analytics jobs in Reston, VA are:
What cities near Reston, VA are hiring for Remote Part Time Data Analytics jobs? Cities near Reston, VA with the most Remote Part Time Data Analytics job openings:
Remote Part Time Data Analytics jobs near you
Infographic showing various Remote Part Time Data Analytics job openings in Reston, VA as of July 2026, with employment types broken down into 76% Full Time, and 24% Part Time. Highlights an 53% In-person, 6% Hybrid, and 41% Remote job distribution, with an average salary of $118,469 per year, or $57 per hour.
Private Funds Attorney - Remote

Private Funds Attorney - Remote

micro1 AI

Washington, DC • Remote

$80 - $105/hr

Part-time

Posted 20 days ago

Job description

Role Title: Funds Attorney


Role Type: Contractor


Location: Remote


We are seeking seasoned Funds Attorneys for a part-time role at the forefront of legal AI. This opportunity is for elite lawyers who want to help shape how advanced AI is trained, evaluated, and applied in real-world legal work, especially those who have deep experience with drafting, reviewing, negotiating, and redlining within the tech field.


In this role, you will review, assess, and contribute to contract redlining workflows used to train and evaluate state-of-the-art AI models. Your work will directly improve how these systems identify risk and interpret contract language to create tools with improved precision and legal judgment.


Key Responsibilities:

  1. Perform simulated contract negotiations and redlining exercises.
  2. Review and assess AI responses to contract scenarios, providing expert feedback to improve model performance and output precision.
  3. Create objective evaluation frameworks and grading criteria to assess AI performance on contract tasks with rigor and consistency.
  4. Collaborate with product and research teams to refine data, guidelines, and best practices for AI-driven contract review solutions.


Required Skills and Qualifications:

  1. J.D. from an ABA-accredited law school.
  2. Active bar admission in at least one U.S. jurisdiction.
  3. Minimum of 2 years in the funds department of a corporate law firm.
  4. Familiarity with standard M&A agreements, including LPA’s, subscription agreements, and side letters.
  5. Exceptional written and verbal communication skills with meticulous attention to detail.
  6. Strong analytical capabilities and ability to translate legal expertise into actionable feedback for AI systems.
  7. Demonstrated commitment to innovation at the intersection of law and technology.
  8. Experience working with cross-disciplinary teams in fast-paced environments.


Preferred Qualifications:

  1. Prior exposure to AI, legal tech, or training initiatives.


Why Join:

  1. This is an opportunity to work at the intersection of law and technology.
  2. You will help define how AI is developed for a new generation of legal practitioners.
  3. You will apply your experience in a high-impact research environment.

Apply