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Manager Senior Data Analyst Remote Jobs in Virginia

Team Velocity

Senior Data Scientist

Herndon, VA · On-site +1

$160K - $190K/yr

We are seeking a Senior Data Scientist to develop machine learning models, predictive analytics ... This is a full-time, salaried, remote position. Candidate must reside within the Continental U.S.

Team Velocity

Senior Data Scientist

Herndon, VA · On-site +1

$160K - $190K/yr

We are seeking a Senior Data Scientist to develop machine learning models, predictive analytics ... This is a full-time, salaried, remote position. Candidate must reside within the Continental U.S.

Team Velocity

Senior Data Engineer

Herndon, VA · On-site +1

$150K - $180K/yr

... analytical, and AI-driven initiatives. This is a full-time, salaried, remote position. Candidate ... Ability to work independently while managing multiple initiatives. Preferred Qualifications

Alpha Omega Integration

Scientific Data Analyst

Vienna, VA · On-site +1

$85K - $115K/yr

This role will be 100% remote for the foreseeable future. In this role, you will manage and analyze quantitative epidemiological, clinical and/or behavioral data and provide output in the format ...

Capital One

Principal Data Analyst

Richmond, VA · On-site +1

$105K - $160K/yr

Exercising discretion at a more senior level, leverage analytic and technical skills to innovate, build, and maintain well-managed data solutions and capabilities to tackle business problems. * Use ...

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Manager Senior Data Analyst Remote information

What is the difference between Manager Senior Data Analyst Remote vs Data Scientist?

AspectManager Senior Data Analyst RemoteData Scientist
Required CredentialsBachelor's or Master's in Data Analytics, Business, or related fields; experience in data analysis toolsBachelor's or Master's in Computer Science, Statistics, or related; often requires programming skills
Work EnvironmentRemote, collaborative with teams, focus on reporting and analysisRemote or on-site, research-focused, involves modeling and algorithm development
Employer & Industry UsageBusiness, finance, healthcare, tech companiesTech firms, research institutions, startups, and enterprises

The main difference is that Manager Senior Data Analysts focus on interpreting data, creating reports, and guiding teams, while Data Scientists develop models and algorithms to extract insights. Both roles often work remotely and require strong analytical skills, but Data Scientists typically have more programming and statistical expertise.

How does a manager senior data analyst balance hands-on analytics work with team leadership responsibilities in a remote setting?

As a Manager Senior Data Analyst working remotely, you can expect to split your time between guiding your team and performing advanced analytics tasks yourself. You'll often lead project planning, mentor junior analysts, and coordinate with cross-functional teams, all while ensuring data-driven solutions are delivered on schedule. Effective communication and regular virtual check-ins are essential for fostering collaboration and keeping projects on track. Balancing strategic oversight with hands-on analysis is key to success, and many organizations support this through clear goal-setting and flexible work hours.

What are the key skills and qualifications needed to thrive as a manager senior data analyst in a remote setting?

To thrive as a Manager Senior Data Analyst Remote, you need advanced data analysis skills, expertise in statistics, and a relevant degree in data science, mathematics, or a related field. Familiarity with analytics tools such as SQL, Python, R, data visualization platforms (e.g., Tableau, Power BI), and experience with cloud-based data systems are typically required. Strong leadership, problem-solving, and communication skills are essential, especially for managing remote teams and collaborating across departments. These skills ensure effective data-driven decision-making, efficient team management, and clear communication of insights in a distributed environment.

What does a manager senior data analyst do in a remote role?

A Manager Senior Data Analyst in a remote role leads data analysis projects and oversees a team of analysts to extract, interpret, and present insights from large datasets. They are responsible for setting analysis strategies, ensuring data quality, and communicating findings to stakeholders to inform business decisions. Working remotely, they utilize digital collaboration tools to manage their team and maintain clear communication. Their work often involves designing data models, developing KPIs, and supporting data-driven decision-making across the organization.
What are the most commonly searched types of Senior Data Analyst Remote jobs in Virginia? The most popular types of Senior Data Analyst Remote jobs in Virginia are:
What cities in Virginia are hiring for Manager Senior Data Analyst Remote jobs? Cities in Virginia with the most Manager Senior Data Analyst Remote job openings:
Manager Senior Data Analyst Remote jobs near you

Senior Data Architect (Secret Clearance) - Remote

Praescient Analytics

Fairfax, VA • On-site, Remote

$68.75 - $92/hr

Full-time

Retirement, PTO

Re-posted 8 days ago

Job description

Location: Remote
Job Type: Full-Time
Clearance Requirement: Secret Clearance (Top Secret Preferred)
U.S.Citizenship is Required.
Position Overview:
Praescient Analytics is seeking a highly skilled and visionary Data Architect - Senior to provide enterprise-level technical leadership, data strategy, and big-picture oversight for the National Background Investigation Services (NBIS) and Enterprise Information Technology (EIT) application development suites.
In this role, you will define the overarching data strategy vision, establish master data management (MDM) guidelines, and conceptualize advanced enterprise data models optimized for a secure cloud environment. Working without supervision on highly complex initiatives, you will lead the evolution of legacy transactional schemas into modern, highly scalable, and secure data mesh architectures within an AWS GovCloud environment. You will collaborate closely with principal software architects, data engineers, chief data officers, and federal program stakeholders, exercising wide latitude for independent judgment to ensure our nation's background investigation data architectures are resilient, secure, and compliant with zero-trust mandates.
Key Responsibilities:
  • Enterprise Data Strategy & Vision: Formulate, experiment with, and articulate alternative enterprise data architectures. Create comprehensive model, schema, ontologies, and interface specification documents, validating the data architecture against strict federal requirements and security assumptions.
  • Architectural Blueprinting: Design end-to-end data architectures, including data warehouses, data lakes, operational data stores, and metadata management repositories, aligning them with the Agile SAFe v6.0 roadmap.
  • Cloud Modernization & Evolution: Author the blueprints for migrating and modernizing complex legacy data systems into highly distributed, cloud-native storage and analytical solutions specifically optimized for AWS GovCloud.
  • Data Modeling & Governance: Define enterprise data standards, data dictionaries, and master data management practices. Establish the governance models required to safely integrate third-party federal data sources while maintaining strict data lineage.
  • High-Throughput Integration Strategy: Partner with backend engineers to design frameworks for high-volume, low-latency batch and stream processing pipelines (e.g., Kafka, Kinesis, Spark) that effortlessly bridge application and analytics tiers.
  • Cross-Functional Collaboration: Serve as the principal data advisor across the entire program. Work with software engineers, system architects, and customer application experts to evaluate technical trade-offs and drive advanced analytics capabilities.
  • Agile Requirements Optimization: Leverage Jira, Confluence, and SAFe processes to translate high-level mission capabilities and agency mandates into foundational architectural epics, technical features, and data roadmaps.

Required Qualifications:
  • Clearance & Citizenship: Active U.S. Secret clearance is required. Must be a U.S. Citizen to meet federal contract mandates.
  • Education & Experience: * Bachelor's degree in Computer Science, Data Architecture, Information Systems, or a related field with 10-12 years of relevant data design and integration experience OR
    • Master's degree in a related field with 8-10 years of relevant experience OR
    • PhD in a related field with 5-7 years of relevant experience.
  • Mastery of Data Modeling: Deep, extensive proficiency in conceptual, logical, and physical data modeling. Expert knowledge of relational (OLTP) modeling, dimensional (OLAP) modeling, Data Vault 2.0 methodology, and NoSQL structural design.
  • AWS GovCloud Ecosystem: Comprehensive experience designing and implementing enterprise cloud data structures within AWS and AWS GovCloud, specifically utilizing Redshift, Lake Formation, Glue, EMR, Athena, S3, and DynamoDB.
  • Advanced Database & Store Experience: Expert-level knowledge of enterprise-grade relational databases (Oracle, PostgreSQL), NoSQL engines, and massive parallel processing (MPP) data warehouses.
  • Tools & Lifecycle Management: Expert proficiency with industry-standard data modeling tools (e.g., Erwin, ER/Studio, or open-source equivalents), Git, Jira, and Confluence within an automated DevSecOps environment.
  • Autonomy & Communication: Proven ability to work without supervision on highly complex, mission-critical projects, exercising wide latitude for independent judgment. Strong interpersonal skills with the ability to articulate complex data visions to both engineering teams and senior federal stakeholders.

Preferred Qualifications:
  • An active Top Secret (TS) or TS/SCI clearance.
  • Prior experience providing enterprise data architecture oversight or technical leadership directly on Department of Defense (DoD), DCSA, or NBIS programs.
  • Advanced expertise in federal data compliance frameworks (e.g., NIST, HIPAA), zero-trust data access architectures, and automated data encryption at rest and in transit.

The projected compensation range for this position is $135,000.00 to $175,000.00 (annualized USD).
What You Can Expect From Us:
  • Real opportunity for career growth in an environment where your achievements will be celebrated
  • Constant collaboration with numerous teams to ensure client success
  • A team that respects and embraces your ideas and expertise
  • Coworkers that are motivated by pursuing excellence, rather than the prospect of personal gain
  • A workplace dedicated to supporting and bettering public safety and government agencies

Benefits:
  • Very competitive salary based on qualifications and experience
  • Comprehensive, Company paid healthcare for you (We pay your premiums and deductibles)
  • 401(k) with company match
  • Travel & performance incentives
  • 3 weeks paid time off (plus Federal Holidays)
  • $5K annual training allowance

Praescient Analytics is a Certified Woman-Owned Small Business (WOSB) with over a decade of expertise in advanced analytics, engineering, and DevOps, specializing in transforming complex data into actionable intelligence for informed decision-making. Since 2011, we have supported over 40 organizations across diverse domains, including military intelligence operations, financial and fraud investigations, and insider threat detection.
Our team of experts-skilled in cloud computing, artificial intelligence, machine learning, data science, DevOps, and engineering-brings deep experience in solving complex challenges. With a proven track record in federal contracting, we deliver tailored, high-impact solutions designed to enhance operational efficiency, ensure mission success, and address the evolving needs of our clients. Praescient's innovative and adaptive approach makes us a trusted partner in delivering data-driven insights and technological excellence for critical missions.
Applicants selected will be subject to a government security investigation and must meet eligibility requirements for access to classified information.
US Citizenship Required
Interested Candidates: Please forward your resume to recruiting@praescientanalytics.com and please visit our website to apply online at www.praescientanalytics.applicantstack.com/x/openings.

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