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Remote Data Analysis Intern Jobs in Washington (NOW HIRING)

Maximus

Data Scientist (Remote)

VA · On-site +1

General information Job Posting Title Data Scientist (Remote) Date Tuesday, August 4, 2026 City ... This position applies advanced analytics, statistical methods, and data visualization to improve ...

Ag

Data Analytics Specialist

Dulles, VA · On-site +1

Data Analysis and Insight: 30% * Conduct in-depth data analysis and experimentation to uncover ... Onsite or remote: 60% onsite * Vision: Daily be able to see and read computer screen and other ...

Staffed4U

Chemical Data Analyst

Chantilly, VA · On-site +1

Data Analysis * Scientific Computing * Database Management Benefits Our client offers a ... Hybrid Work Environment with remote and onsite work flexibility based on program requirements ...

Staffed4U

Biologicial Data Analyst

Chantilly, VA · On-site +1

In this role, you will perform biological data analysis and bioinformatics to support the ... Hybrid Work Environment with remote and onsite work flexibility based on program requirements ...

Parsons

Senior Data Scientist

Springfield, VA · Remote

The Data Analysis- Senior,leads the integration and application of advanced data analytics to solve ... Remote View, ERDAS Imagine, Macromedia Dreamweaver, Macromedia Fireworks, Photoshop, HTML, and ...

MM International

Credit Card Data Analyst

Mclean, VA · Remote

Credit Card Data Analyst Location: Mclean, VA, Richmond, VA and Plano, TX (Try for Local) (Open for Remote As well) Relocation is accepted as well/ Remote (CST Time Zone) Hybrid Location if Onsite ...

Moore

Data Analyst

Lanham, MD · Remote

Experience with statistical analysis methods and concepts like randomized controlled trials ... remote

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All JobsData Analysis Intern JobsRemote Data Analysis Intern JobsRemote Data Analysis Intern Jobs in Washington

Remote Data Analysis Intern information

What is a remote data analysis intern?

Remote Data Analysis Interns are students or recent graduates who work from a remote location to support organizations in gathering, cleaning, analyzing, and interpreting data. They often use tools like Excel, SQL, Python, or R to identify trends and provide actionable insights. These interns typically assist with tasks such as data collection, report generation, and data visualization, all while collaborating virtually with their team. The role helps interns develop technical and analytical skills in a real-world business context.

What are the key skills and qualifications needed to thrive as a remote data analysis intern?

To thrive as a Remote Data Analysis Intern, you need foundational skills in statistics, data interpretation, and a relevant academic background, such as coursework in mathematics, computer science, or a related field. Familiarity with data analysis tools like Excel, Python, R, and data visualization platforms such as Tableau or Power BI is typically required. Strong attention to detail, self-motivation, and effective remote communication are essential soft skills for success in a virtual work environment. These skills ensure accurate data insights, efficient collaboration, and the ability to contribute meaningfully to projects while working remotely.

How does a remote data analysis intern typically collaborate with team members and supervisors while working off-site?

As a Remote Data Analysis Intern, you’ll frequently collaborate with team members and supervisors through digital communication tools such as Slack, Zoom, and project management platforms like Asana or Trello. Regular check-in meetings and virtual stand-ups are common to discuss ongoing projects, clarify expectations, and receive feedback. You may also participate in shared code repositories or data dashboards, ensuring transparency and consistent progress. Being proactive in communication and comfortable with asynchronous feedback are key to succeeding in this remote, team-oriented environment.

What is the difference between Remote Data Analysis Intern vs Remote Data Analyst?

AspectRemote Data Analysis InternRemote Data Analyst
Required CredentialsTypically pursuing or recently completed a degree in data science, statistics, or related fieldOften holds a degree or certification in data analysis, statistics, or related discipline
Work EnvironmentInternship programs, entry-level projects, supervised tasksFull-time or part-time remote roles with more independent responsibilities
Employer & Industry UsageInternships offered by tech, finance, healthcare, and consulting firmsEstablished companies across various industries seeking experienced data professionals
Common Search & Comparison IntentUnderstanding entry-level opportunities and learning pathsSeeking experienced roles or career advancement in data analysis

The main difference between a Remote Data Analysis Intern and a Remote Data Analyst lies in experience, responsibilities, and career stage. Interns are typically students or recent graduates gaining initial industry exposure, while data analysts are more experienced professionals handling complex data projects independently.

What are popular job titles related to Remote Data Analysis Intern jobs in Washington?

For Remote Data Analysis Intern jobs in Washington, the most frequently searched job titles are:

What job categories do people searching Remote Data Analysis Intern jobs in Washington look for?

The top searched job categories for Remote Data Analysis Intern jobs in Washington are:

Remote Data Analysis Intern jobs near you

Manager, Data Analytics - Remote

ICF

Reston, VA • Remote

Full-time

Re-posted 29 days ago

Job description

This role is contingent upon a contract award.

ICF is seeking an experienced Data Analytics Manager to lead enterprise data, analytics, governance, and AI-enabled capabilities for a complex federal technology services program. This role will support the design, implementation, and sustainment of data policy, standards, governance processes, portfolio management practices, data architecture, data quality controls, analytics products, dashboards, and secure data access models.

The ideal candidate has demonstrated experience leading enterprise data initiatives in regulated environments, with strong technical credibility across data governance, data architecture, data engineering, analytics, data quality, metadata management, and responsible AI-enabled analytics. This role requires the ability to translate business, operational, and mission needs into governed, secure, and usable data capabilities that support decision-making, performance management, and continuous improvement.

Job Location: This position is remote within the United States.

Please note that ICF monitors employee work locations, restricts access from foreign locations and IP addresses, and prohibits the use of personal VPN connections.

What You'll Be Doing
  • Lead enterprise data, analytics, governance, and AI-enabled capability delivery across a complex federal technology environment.
  • Develop and implement data governance policies, standards, operating procedures, approval workflows, and accountability models.
  • Establish and maintain data portfolio management practices, including prioritization, project intake, resource planning, risk tracking, milestone reporting, and performance measurement.
  • Lead the design and implementation of scalable data architecture, including data pipelines, data lakes, data warehouses, data marts, data catalogs, metadata repositories, and data lineage capabilities.
  • Define and enforce data quality standards, validation rules, data dictionaries, scorecards, issue management workflows, and continuous monitoring processes.
  • Guide development of analytics products, dashboards, reports, and visualization tools that provide operational insight and support executive decision-making.
  • Support advanced analytics capabilities, including statistical analysis, predictive modeling, trend analysis, root cause analysis, and AI-enabled analytics.
  • Ensure data sharing, API integration, and data access models are secure, governed, auditable, and aligned with privacy, cybersecurity, and compliance requirements.
  • Partner with cybersecurity, engineering, product, and program management teams to align data platforms, applications, integrations, and analytics capabilities with enterprise standards.
  • Establish reusable templates, frameworks, data models, ETL/ELT patterns, documentation repositories, and project management toolkits for data initiatives.
  • Support training, documentation, and knowledge transfer to improve user adoption and long-term sustainment of data tools, dashboards, and data management practices.
  • Monitor data quality, data usage, access patterns, and analytics adoption to identify risks, improvement opportunities, and operational blind spots.
What You Must Have
  • U.S. Citizenship required due to federal contract requirements.
  • Must be able to obtain and maintain a Federal Public Trust clearance.
  • Bachelor's Degree
  • 10+ years of experience leading enterprise data, analytics, data governance, data engineering, data architecture, or AI-enabled analytics initiatives.
  • One active data, cloud, analytics, AI/ML, or data governance certification, such as CDMP, DAMA, AWS/Azure/GCP data certification, Microsoft Power BI certification, Databricks, Snowflake, or equivalent
What we would like you to have:
  • 8+ years of experience designing, implementing, or managing enterprise data platforms, data pipelines, data warehouses, data lakes, data marts, data catalogs, or metadata management capabilities.
  • 5+ years of experience establishing data governance policies, standards, stewardship models, data quality frameworks, data dictionaries, lineage practices, or data management operating models.
  • 5+ years of experience delivering analytics products, dashboards, reporting capabilities, data visualizations, or executive decision-support tools.
  • 5+ years of experience working in federal, public sector, healthcare, life sciences, or other regulated environments with formal privacy, security, or compliance requirements.
  • 3+ years of experience supporting AI-enabled analytics, predictive modeling, machine learning workflows, anomaly detection, or advanced analytics use cases.
  • 3+ years of experience with data integration methods, including APIs, ETL/ELT pipelines, data orchestration, batch processing, real-time ingestion, or change data capture.
  • 3+ years of experience using data visualization, analytics, or business intelligence tools such as Power BI, Tableau, QuickSight, Looker, Palantir Foundry, or similar platforms.
  • 3+ years of experience with cloud data services on AWS, Microsoft Azure, Google Cloud Platform, or similar cloud environments.
  • Experience supporting HHS, NIH, FDA, CMS, CDC, or other health-focused federal environments.
  • Experience building or supporting Chief Data Office functions, enterprise data governance programs, or data portfolio management organizations.
  • Experience with data privacy, data protection, data classification, DLP, encryption, RBAC, ABAC, just-in-time access, or audit logging requirements.
  • Experience aligning data capabilities with NIST, FISMA, HIPAA, FedRAMP, GDPR, or other security and compliance frameworks.
  • Experience developing data catalogs, metadata management approaches, lineage models, data quality scorecards, data issue repositories, and data stewardship workflows.
  • Experience implementing AI governance, responsible AI practices, model monitoring, explainability, human-in-the-loop review, or secure AI-enabled analytics.
  • Experience with SQL, Python, R, Databricks, Snowflake, Redshift, BigQuery, Synapse, Dataverse, or similar data platforms and tools.
  • Additional cloud, data, analytics, AI/ML, cybersecurity, Agile, ITIL, DAMA, CDMP, or project management certification.

Bot and Third-Party Applications

Please note that this application must be submitted directly by the applicant for consideration.Failure to do so may result in the application being excluded for consideration.Applicants needing an accommodation for disability or religious purposes in connection with the application process should contactCandidateaccommodation@icf.comfor assistance.

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:

$98,614.00 - $167,644.00Nationwide Remote Office (US99)

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