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Remote Data Remediation Analyst Jobs in Virginia

Provide consulting relating to the data mining and analysis of data from a range of sources to ... Washington DC Metro Area - Remote (candidates MUST BE located in the National Capital Region - DMV ...

Provide consulting relating to the data mining and analysis of data from a range of sources to ... Washington DC Metro Area - Remote (candidates MUST BE located in the National Capital Region - DMV ...

Perform advanced analysis and produce complex data models, insights, and analytics from our Geo ... Other Info This is a remote position that may require occasional travel. Candidates must reside in ...

New

Junior Data Analyst

Arlington, VA · On-site +1

$50K - $75K/yr

TSTC is seeking a full-time Junior Data Analyst to provide research services for one of TSTC ... Flexible Work Options - Remote work allowed, flexible schedules, and telework opportunities ...

Junior Data Analyst

Arlington, VA · On-site +1

$50K - $75K/yr

TSTC is seeking a full-time Junior Data Analyst to provide research services for one of TSTC ... Flexible Work Options - Remote work allowed, flexible schedules, and telework opportunities ...

The Health IT Data Analyst will develop reports, dashboards, and analytical products that enable ... This is a remote position requiring all work be performed in the continental United States. US ...

... remediation. * Ability to communicate analytical methods and results clearly to both technical ... Experience with geospatial data, imagery products, or remote sensing datasets -- familiarity with ...

Senior Solutions Architect

Arlington, VA · On-site +1

$15K - $165K/yr

... analysis of operational data. * Ensure all design and implementation approaches adhere to the ... Provide secure and stable methods for the remote diagnosis and resolution of maintenance issues ...

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 ...

This is a remote (US only) position supporting an IT investment and portfolio management initiative ... Identify and track defects, and support remediation efforts As a Trainer: * Design and deliver ...

Hybrid Work Environment with remote and onsite work flexibility based on program requirements ... data analysis. You'll have the opportunity to work alongside experts in computational science ...

Hybrid Work Environment with remote and onsite work flexibility based on program requirements ... data analysis. You'll have the opportunity to work alongside experts in computational science ...

General information Job Posting Title Data Scientist II (Remote) Date Tuesday, August 4, 2026 City ... This role applies advanced analytics and research methods to help improve the short- and long-term ...

This role involves conducting on-site and remote cyber risk assessments, developing mitigation ... Implement data tagging and structured knowledge capture to enable proactive risk identification ...

Showing results 21-40

Remote Data Remediation Analyst information

What is a remote data remediation analyst?

A Remote Data Remediation Analyst is a professional who works from a remote location to identify, correct, and manage data inconsistencies or errors within an organization’s databases or information systems. Their main responsibilities include assessing data quality, ensuring compliance with data governance standards, and executing data cleanup projects. They often collaborate with IT, data management, and compliance teams to ensure that data is accurate, secure, and usable for business operations. This role is crucial for organizations aiming to maintain the integrity and reliability of their data assets.

What are the key skills and qualifications needed to thrive as a remote data remediation analyst?

To thrive as a Remote Data Remediation Analyst, you need strong analytical skills, attention to detail, and a background in data management or information systems, often supported by a relevant degree. Familiarity with data remediation tools, databases (like SQL), and data governance platforms, as well as certifications such as Certified Data Management Professional (CDMP), is highly valuable. Excellent problem-solving abilities, time management, and clear communication are crucial soft skills for identifying data issues and collaborating across teams remotely. These competencies ensure accurate data correction, regulatory compliance, and efficient remote collaboration to maintain organizational data integrity.

What are some common challenges faced by remote data remediation analysts, and how can they be effectively managed?

Remote Data Remediation Analysts often encounter challenges such as managing large volumes of data with inconsistencies, ensuring data accuracy across multiple systems, and maintaining effective communication with cross-functional teams. To manage these challenges, it's important to establish clear documentation practices, leverage data validation tools, and participate in regular virtual meetings to stay aligned with stakeholders. Being proactive about asking clarifying questions and following established data governance protocols also helps ensure successful remediation outcomes.

What is the difference between Remote Data Remediation Analyst vs Remote Data Quality Specialist?

AspectRemote Data Remediation AnalystRemote Data Quality Specialist
CredentialsData analysis certifications, SQL, data management skillsData analysis certifications, SQL, data management skills
Work EnvironmentRemote, often within finance, healthcare, or tech industriesRemote, typically in data-driven organizations across various sectors
Employer & Industry UsageFinancial institutions, healthcare providers, tech companiesRetail, finance, healthcare, and tech sectors

The Remote Data Remediation Analyst and Remote Data Quality Specialist roles share similar skills and work environments, focusing on data accuracy and integrity. However, the analyst primarily focuses on identifying and fixing data issues, while the specialist emphasizes ongoing data quality monitoring and improvement strategies.

What are the most commonly searched types of Data Remediation Analyst jobs in Virginia?

The most popular types of Data Remediation Analyst jobs in Virginia are:

What are popular job titles related to Remote Data Remediation Analyst jobs in Virginia?

For Remote Data Remediation Analyst jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Remote Data Remediation Analyst jobs in Virginia look for?

The top searched job categories for Remote Data Remediation Analyst jobs in Virginia are:

What cities in Virginia are hiring for Remote Data Remediation Analyst jobs?

Cities in Virginia with the most Remote Data Remediation Analyst job openings:

Manager, Data Analytics - Remote

ICF International, Inc.

Reston, VA • On-site, Remote

Full-time

Re-posted yesterday


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 contact Candidateaccommodation@icf.com for 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 their expertise and collaborate with others to achieve personal and professional goals. For more information, please read our EEO policy.
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 with sincerely held religious beliefs, in all phases of the application and employment process. To request an accommodation, please email Candidateaccommodation@icf.com and we will be happy to assist. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
Read more about workplace discrimination rights or our benefit offerings which are included in the Transparency in (Benefits) Coverage Act.
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 or assist with responses during interviews (whether in-person or virtual) is not permitted. This policy is in place to maintain the integrity and authenticity of the interview process.
However, we understand that some candidates may require accommodation that involves the use of AI. If such an accommodation is needed, candidates are instructed to contact us in advance at candidateaccommodation@icf.com. We are dedicated to providing the 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 - $167,644.00
Nationwide Remote Office (US99)