ZipRecruiter

Log In

3

Remote Part Time Data Analytics Jobs in Washington

ICF

Energy Specialist

Reston, VA · On-site +1

Remote candidates within the United States are encouraged to apply. Preference may be given to ... Experience applying analytical, technical, economic, modeling, or data-driven approaches to energy ...

New

micro1 AI

Legal AI Trainer - 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

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 ...

next page

Showing results 1-20

All JobsData Analytics JobsRemote Part Time Data Analytics JobsRemote Part Time Data Analytics Jobs in Washington

Remote Part Time Data Analytics information

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 Washington? For Remote Part Time Data Analytics jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Remote Part Time Data Analytics jobs in Washington look for? The top searched job categories for Remote Part Time Data Analytics jobs in Washington are:
What cities in Washington are hiring for Remote Part Time Data Analytics jobs? Cities in Washington with the most Remote Part Time Data Analytics job openings:
Remote Part Time Data Analytics jobs near you
Energy Specialist

Energy Specialist

ICF

Reston, VA • On-site, Remote

Part-time

Posted 3 days ago

New

Job description

Energy Consultant


Shape the Future of U.S. Energy

Are you an energy expert excited about the future of energy? Are you ready to help strengthen U.S. energy security, modernize the grid, and accelerate the technologies that will power the next generation of American industry?

Join ICF and help support federal energy leaders, national laboratories, and public-sector partners as they plan, evaluate, and implement the energy systems of the future. We are building a multidisciplinary team of energy professionals with backgrounds spanning engineering, economics, policy, power systems, commercialization, energy markets, infrastructure, data analytics, and industrial innovation. If you bring expertise in one or more of these areas and are passionate about shaping the future of U.S. energy, we encourage you to apply.We welcome professionals with approximately 5-11 years of relevant technical, analytical, and consulting experience.

Remote candidates within the United States are encouraged to apply. Preference may be given to candidates located near client facilities or with the ability to travel occasionally to support client engagement.

Examples of Potential Work

Our work spans multiple energy and industrial domains. Depending on your background and expertise, you may contribute in one or more of the following areas:

Strategy / Policy / Markets

  • Analyze trends shaping U.S. energy security, industrial competitiveness, and grid modernization

  • Support the design and evaluation of federal energy programs, portfolios, and performance metrics

  • Conduct economic, regulatory, and policy analysis to inform investment and strategic decisions

  • Contribute to technology commercialization and technology-to-market strategies

Grid / Infrastructure / Power

  • Support transmission, distribution, grid resilience, and power sector infrastructure studies

  • Evaluate large-load, data center, and industrial electricity demand

  • Assess grid systems, energy infrastructure, and emerging energy technologies

Industrial / Supply Chain

  • Assess supply chains, critical minerals, manufacturing systems, water resources, and industrial infrastructure

  • Evaluate industrial competitiveness and infrastructure needs supporting the evolving energy economy

Modeling / Analytics

  • Perform market, economic, financial, and scenario analysis

  • Develop analytic tools, dashboards, and decision-support platforms

  • Conduct modeling, sensitivity, and uncertainty analysis using quantitative methods

  • Translate technical and analytical findings into clear and actionable insights

What We're LookingFor

  • Bachelor's degree in engineering, economics, public policy, energy systems, finance, data science, or related field

  • 5+ years of relevant experience in one or more energy-related fields such as power systems, grid modernization, infrastructure, energy markets, industrial systems, emerging technologies, commercialization, energy economics, policy, or related domains

  • Experience applying analytical, technical, economic, modeling, or data-driven approaches to energy-related challenges

  • Experience supporting DOE, federal agencies, national laboratories, utilities, or related energy-sector organizations preferred

Preferred Experience

Advanced degree (M.S., MPP, MBA, Ph.D.)

8+ years of relevant professional energy experience including critical minerals/supply chain analysis, energy emerging technologies/water, grid modernization/resilience, energy security, transmission/distribution, infrastructure, and/or data centers.
Experience working on federal R&D, energy infrastructure, or industrial innovation programs
Familiarity with energy market structures, regulatory frameworks, or grid systems
Experience with economic modeling, techno-economic analysis, or decision-support tools

Working at ICF

ICF is a global advisory and technology services provider, but we're not your typical consultants. We combine unmatched expertise with cutting-edge technology to help clients solve their most complex challenges, navigate change, and shape the future.

We can only solve the world's toughest challenges by building a workplace that allows everyone to thrive. We are an equal opportunity employer.Together, our employees are empowered to share theirexpertiseand collaborate with others to achieve personal and professional goals. For more information, please read ourEEOpolicy.

We will consider for employment qualified applicants with arrest and conviction records.

Reasonable Accommodations are available, including, but not limited to, for disabled veterans, individuals with disabilities, and individuals withsincerely heldreligious beliefs, in all phases of the application and employment process. To requestan accommodation,please emailCandidateaccommodation@icf.comand we will be happy toassist. All information you provide will be kept confidential and will be used only to the extentrequiredto provide needed reasonable accommodations.

Read more aboutworkplacediscriminationrightsor our benefit offerings which are included in theTransparency in (Benefits) CoverageAct.

Candidate AI Usage Policy

At ICF, we are committed to ensuring a fair interview process for all candidates based on their own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) tools to generate orassistwith responses during interviews (whether in-person or virtual) is notpermitted. This policy is in place tomaintainthe integrity and authenticity of the interview process.

However, we understand that some candidates may require accommodationthat involves the use of AI. Ifsuch anaccommodation is needed, candidates are instructed to contact us in advance atcandidateaccommodation@icf.com. Weare dedicated to providingthe necessary support to ensure that all candidates have an equal opportunity to succeed.


Pay Range - There are multiple factors that are considered in determining final pay for a position, including, but not limited to, relevant work experience, skills, certifications and competencies that align to the specified role, geographic location, education and certifications as well as contract provisions regarding labor categories that are specific to the position.

The pay range for this position based on full-time employment is:

$67,063.00 - $114,008.00Reston, VA (VA30)

Apply