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Remote Part Time Data Analytics Jobs (NOW HIRING)

LEO&Co

Part Time Data Analyst (Remote)

New York, NY · Remote

A real estate services firm in New York City has a great Remote opportunity awaiting a new Data ... Develop ad-hoc analytics and reporting based on analysis of existing data sources, utilizing a ...

New

Jill Frisch

Remote Data Analyst

Dallas, TX · On-site +1

$50K - $63K/yr

Bachelor's degree in Analytics, Statistics, Mathematics, Economics, Finance, Computer Science or a ... Job Type: Full-time, Part-time What we offer: Compensation: Jill Frisch & Freeze Minimart has an ...

Posted today

D&G Support Services, LLC

Data Engineer- Part Time

$60 - $67/hr

Data Engineer Remote | Part Time | Active Secret Clearance Required Why This Role Exists The work ... Perform technical analyses that inform capability gap assessments and modernization strategies.

MedSchoolCoach

Research Mentor (Remote)

Boston, MA · Remote

$75 - $100/hr

Remote | Part-Time | $75-$100 per session About the Program: The MedSchoolCoach Research Mentorship ... literature reviews, data collection, and analysis Teach fundamentals of scientific research ...

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

As of Jul 19, 2026, the average hourly pay for remote part time data analytics in the United States is $54.75, according to ZipRecruiter salary data. Most workers in this role earn between $43.99 and $62.02 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.
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Remote Part Time Data Analytics jobs near you

Part Time Data Analyst (Remote)

LEO&Co

New York, NY • Remote

Part-time

Posted yesterday

New

Job description

A real estate services firm in New York City has a great Remote opportunity awaiting a new Data Analyst. In this role, the Data Analyst (Remote) will be responsible for ensuring the business makes better decisions through collection and usage of data.

Responsibilities:

The Data Analyst (Remote) will:

  • Perform ad-hoc, strategic analysis of structured and unstructured data across multiple data sources, reflecting global real estate markets and the operations of real estate assets
  • Develop data structures and pipelines to organize, collect, cleanse, and standardize data in order to generate insights and addresses reporting needs
  • Define data requirements and gathers and validates information, using judgment and statistical tests
  • Identify and troubleshoot data integration and integrity issues in cooperation with the appropriate business units
  • Design work flows and procedures
  • Identify opportunities to maximize data usage, applying modeling and optimization methods to develop new strategies and improve business performance
  • Develop ad-hoc analytics and reporting based on analysis of existing data sources, utilizing a variety of tools
  • Perform other duties, as needed

Qualifications:

  • 5+ years of experience in Quantitative Analysis, Data Modeling, Reporting, Relational Database tools, Data Warehousing, Database Architecture, and SQL, SAS, and/or SPSS
  • 3+ years of Technical experience in Software Development, Machine Learning or Statistical Analysis, Data Engineering and Data Visualization related work
  • Associate's and/or Bachelor's Degree
  • Well versed in knowledge of creating algorithms, identifying patterns and insights from structured and unstructured data sets utilizing graphs, trees and/or other data representation techniques
  • Knowledge of Financial terms and principles
  • Solid analytical and problem solving skills
  • Great interpersonal skills
  • Excellent communication skills (written and verbal)
  • Strong attention to detail
  • Highly organized

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