3

Remote Part Time Data Analytics Jobs (NOW HIRING)

Sr. Data Analyst

$88K - $111K/yr

Remote Note: 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 ...

Data Analyst, Senior

Fayetteville, NC · On-site +1

$79K - $99K/yr

Remote Work: No Job Number: R0239478 Location: Fayetteville,NC,US Share job via: Share Data Analyst ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

$111K - $137K/yr

Our platform integrates with all major construction ERPs, eliminating manual data entry for ... Self-Directed: You're comfortable working independently in a part-time, remote capacity and ...

next page

Showing results 1-20

Remote Part Time Data Analytics information

See salary details

$24

$54

$94

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.
More about Remote Part Time Data Analytics jobs
What cities are hiring for Remote Part Time Data Analytics jobs? Cities with the most Remote Part Time Data Analytics job openings:
What states have the most Remote Part Time Data Analytics jobs? States with the most job openings for Remote Part Time Data Analytics jobs include:
People Analytics & Insights Specialist

People Analytics & Insights Specialist

Booz Allen Hamilton, Inc.

Mclean, VA • On-site, Remote

Full-time, Part-time

Medical, Life, Retirement, PTO

Posted 13 days ago


Booz Allen Hamilton rating

8.8

Company rating: 8.8 out of 10

Based on 48 frontline employees who took The Breakroom Quiz

9th of 58 rated business consultants


Job description


Remote Work:
Hybrid
Job Number:
R0243899
Location:
McLean,VA,US
Share job via:
Share
People Analytics & Insights Specialist
The Opportunity:
Advance Booz Allen's workforce and talent priorities by translating complex people and business questions into clear, evidence-based insights. Partner with People leaders, HR business partners, and business stakeholders to understand the decisions, opportunities, and challenges they are navigating. Frame analytical questions. Develop and test hypotheses. Analyze workforce data. Communicate findings, implications, and recommendations in a clear and actionable way.
Use governed people data from enterprise sources and analytics environments to identify trends, risks, opportunities, and potential drivers across the employee lifecycle, including hiring, retention, mobility, engagement, performance, skills, learning, and workforce planning. Conduct descriptive and diagnostic analyses, validate data quality, document assumptions and methods, and create concise analytical outputs, visualizations, and executive-ready materials.
This role is focused on turning governed people data into decision-ready insights. Success requires strong problem framing, hypothesis-driven analysis, sound interpretation of evidence, and the ability to communicate implications clearly to stakeholders across People, HR, business, and analytics audiences. Due to the nature of work performed within this facility, U.S. citizenship is required.
Join us. The world can't wait.
You Have:
  • 2+ years of experience using data to analyze business, workforce, talent, operational, financial, product, or organizational questions
  • 1+ years of experience translating ambiguous business or stakeholder questions into analytical approaches, including defining the problem, identifying relevant data, developing hypotheses, selecting a method, and communicating findings
  • Experience using SQL or similar methods to analyze data from enterprise systems, data warehouses, data lakes, or analytics environments
  • Experience using Excel to conduct analysis, validate data, reconcile discrepancies, build models, or create stakeholder-ready outputs
  • Experience creating analytical outputs, visualizations, dashboards, or decision-support materials using tools such as Power BI, PowerPoint, or Excel
  • Knowledge of statistical concepts, including distributions, outliers, correlation, sampling, variance, and hypothesis testing
  • Ability to communicate analytical findings clearly to non-technical audiences through written summaries, slides, and verbal briefings
  • Ability to work with sensitive or confidential data with attention to detail and sound judgment
  • Bachelor's degree

Nice If You Have:
  • Experience with people analytics, HR analytics, talent intelligence, workforce planning, recruiting analytics, employee listening, compensation analytics, organizational effectiveness, or related workforce topics
  • Experience analyzing HR, workforce, or enterprise system data from Workday
  • Experience accessing, analyzing, or preparing data in shared analytics environments, including Databricks or data lake, lakehouse, or cloud analytics platforms
  • Experience using analytical tools such as Python or R for data manipulation, analysis, automation, or statistical modeling
  • Experience with business intelligence such as Power BI and data visualization tools
  • Experience analyzing survey data, employee listening data, text data, or qualitative workforce data
  • Knowledge of employee lifecycle metrics, including headcount, hiring funnel, time to fill, internal mobility, promotion, attrition, engagement, performance, skills, learning, or employee experience
  • Knowledge of data strategy, data governance, metric definitions, data quality, privacy principles, or responsible use of employee data
  • Ability to take initiative, operate in an agile and iterative environment, and manage multiple analytical priorities
  • Possession of strong presentation skills for conveying complex information to non-technical audiences

Compensation
At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.
Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $55,200.00 to $126,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date.
Identity Statement
As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.
Candidate AI Usage Policy
AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.
Work Model
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.
  • Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.
  • Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.
  • Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.
Not ready to apply? Join our Talent Community and sign up for job alerts.

What Booz Allen Hamilton employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Booz Allen Hamilton logo

About Booz Allen Hamilton

Sourced by ZipRecruiter

Booz Allen Hamilton is a leading provider of management and technology consulting services to the US government in defense, intelligence, and civil markets. Headquartered in McLean, Virginia, the firm also serves major corporations, institutions, and not-for-profit organizations. Founded in 1914 by Edwin G. Booz, the company has a long-standing tradition of helping clients achieve success by delivering a wide range of consulting services that include strategic planning, human capital and learning, communication, systems development, and others. The company's mission is to empower people to change the world, and it has a reputation for maintaining the highest standards of integrity and-excellence.

Industry

It services

Company size

10,000+ Employees

Headquarters location

McLean, VA, US

Year founded

1914