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Remote Data Analytics Manager Jobs in Gainesville, VA

ICF

Manager, Data Analytics - Remote

Reston, VA · Remote

ICF is seeking an experienced Data Analytics Manager to lead enterprise data, analytics, governance ... This position is remote within the United States. Please note that ICF monitors employee work ...

GDIT

Data Analytics Engineer

Chantilly, VA · On-site +1

$142.79K - $169.83K/yr

Data Science and Data Engineering Job Qualifications: Skills: Data Visualization, Data ... Work with the design team and product management to implement innovative analytic and visualization ...

SAIC

Data Scientist

Springfield, VA · Remote

... Remote Work: ORA_ON_SITE Description The Data Scientist will apply their technical and analytical ... Collaborate with project requestors, stakeholders, and project managers to refine project requests ...

SAIC

Data Scientist

Springfield, VA · Remote

... Remote Work: ORA_ON_SITE Description The Data Scientist will apply their technical and analytical ... Collaborate with project requestors, stakeholders, and project managers to refine project requests ...

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Remote Data Analytics Manager information

See Gainesville, VA salary details

$30.6K

$95.9K

$169.8K

How much do remote data analytics manager jobs pay per year?

As of May 28, 2026, the average yearly pay for remote data analytics manager in Gainesville, VA is $95,919.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,200.00 and $123,900.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Data Analytics Manager, and why are they important?

To thrive as a Remote Data Analytics Manager, you need strong analytical skills, expertise in statistics, and a solid background in data management, typically supported by a degree in a quantitative field and experience in analytics leadership. Proficiency with data visualization tools (like Tableau or Power BI), SQL, and data analytics platforms, along with certifications such as Certified Analytics Professional (CAP), is highly beneficial. Excellent communication, leadership, and problem-solving skills help you effectively manage remote teams and translate complex data insights into actionable business strategies. These skills ensure data-driven decision-making, team productivity, and successful project outcomes in a virtual environment.

What are some common challenges faced by Remote Data Analytics Managers, and how can they be addressed?

Remote Data Analytics Managers often encounter challenges related to team communication and project coordination due to different time zones and limited face-to-face interaction. To address these issues, it’s important to establish clear communication protocols, use collaborative project management tools, and schedule regular check-ins to ensure alignment. Additionally, fostering a culture of transparency and encouraging proactive sharing of information helps keep all team members engaged and informed. By prioritizing these practices, remote managers can effectively lead their teams and maintain productivity.

What does a Remote Data Analytics Manager do?

A Remote Data Analytics Manager oversees a team of data analysts and manages data projects from a remote location. They are responsible for collecting, analyzing, and interpreting complex data to help organizations make informed business decisions. This role involves collaborating with various departments, setting analytics strategies, ensuring data quality, and presenting actionable insights to stakeholders. Remote Data Analytics Managers use a variety of tools and platforms to facilitate teamwork and maintain clear communication despite not being physically present in the office.

What is the difference between Remote Data Analytics Manager vs Remote Data Analyst?

AspectRemote Data Analytics ManagerRemote Data Analyst
Required CredentialsBachelor's or Master's in Data Science, Analytics, or related field; leadership experienceBachelor's in Data Science, Statistics, or related field; technical skills
Work EnvironmentOversees teams, manages projects, strategic planningPerforms data analysis, reports, data cleaning
Employer & Industry UsageTech companies, finance, healthcare, retailSame industries, often entry to mid-level roles

The Remote Data Analytics Manager focuses on leading teams and strategic oversight, while the Remote Data Analyst handles data processing and reporting tasks. Both roles require strong analytical skills, but the manager position emphasizes leadership and project management, making it suitable for those with experience in team coordination and strategic planning.

What job categories do people searching Remote Data Analytics Manager jobs in Gainesville, VA look for? The top searched job categories for Remote Data Analytics Manager jobs in Gainesville, VA are:
What cities near Gainesville, VA are hiring for Remote Data Analytics Manager jobs? Cities near Gainesville, VA with the most Remote Data Analytics Manager job openings:
Remote Data Analytics Manager jobs near you
Manager, Data Analytics - Remote

Manager, Data Analytics - Remote

ICF

Reston, VA • Remote

Full-time

Posted 8 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.

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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