Vienna, VA

Data Jobs in Vienna, VA

11 jobs found

Include remote jobs

1d ago

Analytics Data Scientist

BRMi Vienna, VA

Vienna, VA

1d ago

$100k - $122k/yr Full time Artificial Intelligence Business Analytics Customer Analytics

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Job Description

BRMi is seeking an Analytics Data Scientist to help improve customer experience through data-driven problem solving. This role combines exploratory analysis, statistical methods, experimentation, behavioral analytics, and fit-for-purpose modeling to produce actionable insights for digital experiences.

Based in Vienna, VA (hybrid), the position supports work across customer digital behavior, product adoption and engagement, and Voice of the Customer (VoC) research using multiple feedback sources. The role is structured as a W2 opportunity only and requires an in-person interview.

What You’ll Do

Analyze customer digital behavior using Python and SQL.
Run exploratory data analysis to uncover patterns in product adoption, engagement, and customer experience.
Collaborate with business stakeholders and product teams to identify and address digital experience challenges.
Develop, automate, and maintain analytical solutions that deliver actionable business insights.
Use analytical and statistical methods to understand customer behavior, evaluate digital experiences, identify emerging trends, and support data-driven decisions.
Apply text analytics, NLP, and AI-assisted techniques to summarize and classify customer feedback, detect sentiment, and surface recurring themes and friction points.
Conduct VoC research by analyzing app reviews, surveys, contact center interactions, social media, and other digital feedback sources.
Translate findings into clear recommendations, dashboards, presentations, and data stories for business and executive audiences.
Perform other duties as assigned.

Skills and Qualifications

Education: Bachelor’s degree in data science, business analytics, statistics, applied mathematics, economics, or another quantitative/analytical field.
Experience: 1–5 years of experience in data science, business intelligence, analytics, statistical analysis, or related project work.
Proficiency in SQL (data extraction and analysis) and Python (data preparation, exploratory analysis, statistical analysis, and modeling); R is beneficial.
Experience applying analytical and statistical methods including EDA, hypothesis testing, regression, forecasting, segmentation and clustering, experimentation, NLP, or sentiment analysis to real-world business problems.
Ability to communicate insights into recommendations or measurable outcomes for both technical and non-technical stakeholders.
Experience working in notebook-based analytical environments.
Strong curiosity and the ability to quickly learn new analytical methods and technologies.
Excellent communication and data storytelling skills.
Preferred: Master’s degree in a related quantitative/analytical field; experience analyzing customer behavior, digital products, customer feedback, or customer experience; experience presenting to executive audiences and developing decision-support materials; knowledge of financial services or digital banking products; advanced SQL and Python skills.

Technologies

Python
SQL
R
NLP

Compensation and Employment Details

Salary: USD 100,000–122,000 per year
Location: Vienna, VA (hybrid)
Interview requirement: An in-person interview will be required
Work authorization: BRMi will not sponsor applicants for work visas for this position
Employment type: W2 opportunity only

Benefits

Comprehensive Medical, Dental, and Vision Insurance
Employer-Paid Life Insurance
Employer-Paid Short-Term and Long-Term Disability Insurance
401(k)
Paid Time Off (PTO) including Vacation Leave, Sick Leave, and 11 Paid Holidays
Educational Assistance

EOE/MINORITIES/FEMALES/VET/DISABLED: BRMi is an equal opportunity employer with diversity and nondiscriminatory employment policies.

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1mo ago

Junior Data Analyst

OBAN Corporation Vienna, VA

Vienna, VA

1mo ago Closed

Full time Artificial Intelligence Data Analysis Data Analytics

This position is no longer accepting applications (closed Sep 18, 2026).

Job Description

The Junior Data Analyst at OBAN Corporation supports data-driven project work by analyzing solicited information and producing written and graphical findings. The role also includes researching best practices and industry trends, preparing technical publications, and delivering project deliverables within established program policies and procedures, with requirements tied to government security clearance eligibility.

Key Responsibilities

Demonstrate mastery of program policies and procedures.
Provide leadership on project deliverables.
Research best practices and industry trends, then present findings and recommendations.
Analyze solicited data and present results in written or graphical formats, leveraging AI tools appropriately to augment human analysis.
Research, develop, and write reports, manuals, presentations, and other technical publications.

Required Qualifications

Ability to obtain and maintain the required government security clearances.
U.S. Citizen.
Bachelor of Science (BS) or Bachelor of Arts (BA) degree.

Technical Tools

AI tools

Location

Vienna, VA (onsite)

Benefits

Active work environment
Comprehensive Benefits Package, including Health, Vision, and Dental Insurance
Paid Time Off
Paid Federal Holidays
401K Retirement Plan
Training and Development
Employee Referral Bonus

Recruitment and Clearance Disclaimer

This position is being recruited in support of potential future contract awards.
Qualified candidates may be considered for upcoming opportunities supporting federal government clients.
Candidates must obtain and maintain the required government security clearances.

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1mo ago

Data Analyst

Progressive Technology Solutions Vienna, VA

Vienna, VA

1mo ago Closed

$65 - $68/hr Full time Data Analysis Data Analytics Data Governance

This position is no longer accepting applications (closed Sep 13, 2026).

Job Description

Lead data governance remediation for a large backlog by prioritizing critical tables and producing governance artifacts that make data understandable, trusted, and reusable.

Lead end-to-end remediation planning for a large data governance backlog, covering intake, prioritization, sequencing, status tracking, risk identification, and deliverable follow-through.
Identify and prioritize key tables needing governance artifacts using criteria such as usage, business value, data sensitivity, reporting dependencies, and readiness for broader enterprise consumption.
Create, validate, and maintain governance artifacts including data dictionaries, source-to-target mappings (STTM), CDE documentation, metadata, lineage context, and related documentation.
Use SQL for data profiling and validation to investigate and document tables, fields, transformations, joins, business rules, and data quality considerations.
Partner with data governance teams to align deliverables to enterprise standards, metadata expectations, cataloging requirements, CDE practices, and artifact approval workflows.
Collaborate with internal analysts and subject matter experts to gather knowledge of business processes, table usage, definitions, and reporting dependencies.
Communicate progress and findings to stakeholders via progress summaries, blockers, decisions needed, risks, dependencies, and recommended next steps.
Support democratization of governed data so other business units can understand, discover, and appropriately use internally warehoused data.
Develop and maintain reporting/dashboard views, preferably in Power BI, to visualize remediation progress, backlog burn-down, artifact completeness, data readiness, and adoption opportunities.
Recommend process improvements for documentation templates, governance intake, quality checks, and repeatable workflows to improve efficiency and reduce rework.
Ensure documentation usability for analysts, data stewards, governance partners, and leadership audiences, balancing business-friendliness with technical accuracy.
Contribute to analytics and BI work as remediation matures, including dashboard requirements, data modeling support, visualization design, and storytelling with governed data.
Perform other duties as assigned.

Requirements

Significant experience researching, compiling, documenting, and validating data, business processes, data flows, and analytical workflows.
Advanced SQL to query large datasets, assess table structures, validate field logic, investigate data quality issues, and interpret joins or transformations.
Demonstrated ability to manage complex workstreams with multiple stakeholders, dependencies, deadlines, deliverables, and quality expectations.
Experience creating or maintaining data governance artifacts such as data dictionaries, metadata documentation, source-to-target mappings, data lineage notes, business definitions, or similar deliverables.
Working knowledge of data governance, including metadata management, CDEs, data stewardship, data ownership, data quality, and governed data access.
Working knowledge of data warehousing, including database structures, ETL/ELT processes, and analytical data pipelines.
Strong communication skills to summarize technical findings, explain documentation needs, escalate blockers, and communicate progress to both technical and business audiences.
Advanced ability to identify business requirements, clarify data definitions, resolve ambiguity, and recommend practical solutions.
Ability to partner with governance teams, analysts, data owners, engineers, and business stakeholders to collect, validate, and publish high-quality documentation.
Advanced skill interpreting data models, tables, reports, and documentation and translating them into formats that support enterprise decision-making and reuse.
Experience with project tracking, issue management, status reporting, and documentation quality control.
Advanced Microsoft Excel skills and familiarity with collaboration tools used to manage inventories, deliverables, status updates, and documentation review cycles.
Bachelor’s degree in Information Systems, Computer Science, Engineering, Business Analytics, Data Analytics, or a related field, or the equivalent combination of training, education, and experience.

Technologies

SQL
Power BI
Microsoft Excel
Microsoft Purview

Desired Qualifications

Power BI experience, including the ability to create dashboards that communicate plan, progress, risk, backlog burn-down, artifact completion, and adoption readiness.
Experience applying data storytelling principles to turn governed data into leadership-ready insights, decisions, and recommendations.
Experience with Microsoft Purview or similar data catalog, metadata management, or governance platforms.
Experience supporting enterprise-wide or cross-business unit data governance, reporting, analytics, or documentation initiatives.
Familiarity with semantic models, curated datasets, certified data products, self-service BI enablement, or analyst adoption programs.
PMP certification, Agile certification, or commensurate experience managing cross-functional projects or enterprise workstreams.
Advanced degree in Information Systems, Computer Science, Engineering, Business Analytics, Data Analytics, or a related field.

Success Profile

A prioritized inventory of key tables requiring governance remediation is established and actively managed.
Governance artifacts are completed with clear definitions, accurate mappings, defensible validation, and stakeholder sign-off.
Backlog progress, blockers, and risks are visible through reliable reporting and, where possible, Power BI dashboards.
Governed tables become easier for internal teams and business units to discover, understand, and responsibly reuse.
The analyst demonstrates SQL, Power BI, and storytelling capabilities needed to support a potential shift toward a broader BI role.

Location and Pay

Work location: Vienna, VA (onsite)
Pay: $65.00 - $68.00 per hour

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1mo ago

Senior Data Scientist (Internal Audit Model & AI Risk)

Navy Federal Credit Union Vienna, VA

Vienna, VA

1mo ago Closed

$99k - $156k/yr Full time Senior Ai Risk Artificial Intelligence

This position is no longer accepting applications (closed Sep 9, 2026).

Job Description

Navy Federal Credit Union is hiring a Senior Data Scientist for its Internal Audit team focused on assessing AI and model risk, governance, and independent assurance activities. The role covers technical evaluations across the end-to-end AI and model lifecycle, from development through validation and ongoing monitoring.

Location and Schedule

Location: Vienna, VA (onsite)
Address: 820 Follin Lane, Vienna, VA 22180
Additional locations listed: 5510 Heritage Oaks Drive, Pensacola, FL 32526; 141 Security Drive, Winchester, VA 22602
Hours: Monday to Friday, 8:00AM to 4:30PM

Compensation

Salary: USD 99,400 - 155,850 per yearly

Role Responsibilities

Assess AI and model governance processes, including inherent risk ratings, model validations, materiality of model changes, ongoing performance monitoring, and targeted model review approaches within model governance audit activities.
Plan and lead independent internal audit reviews of AI products, AI-enabled systems, and models using expertise in AI technologies, model risk, and governance practices.
Apply established audit frameworks and assurance processes to deliver high-quality reviews, manage scope, timelines, stakeholder expectations, and communication throughout the engagement lifecycle.
Develop, implement, and execute model testing plans for models requiring advanced model risk knowledge and skills.
Evaluate model development, implementation, and use with respect to conceptual soundness, assumptions, modeling methodology, limitations, data quality, ongoing monitoring, and other elements of the development process.
Identify meaningful insights from large data and metadata sources.
Test hypotheses and models, analyze and interpret results using sound judgment within defined procedures.
Develop and code moderately complex software programs, algorithms, and automated processes.
Use modeling and trend analysis to analyze data and provide insights.
Apply understanding of best practices and ethical AI.
Transform data into charts, tables, or formats that support effective decision making.
Build working relationships with team members and subject matter experts, including leading small projects and initiatives.
Document and present analysis findings using effective written and verbal communication to diverse stakeholder groups.

Required Qualifications

Experience: 5-7 years in data analysis, statistical modeling, or regression analysis, including language models, LLMs, and/or Generative AI technologies
Education: Bachelor’s Degree in Data Science, Statistics, Mathematics, Computers Science, Engineering, or similar quantitative fields
Basic understanding of business and operating environment
Knowledge of statistics
Programming, data modeling, simulation, and advanced mathematics
SQL, R, Python, Hadoop, SAS, SPSS, Scala
Knowledge of AI platforms and ecosystems supporting machine learning, generative AI, and LLM-enabled systems, including Microsoft Copilot Studio, Azure AI Foundry, AWS, and Databricks
Model lifecycle execution including model development, validation, and governance
Technical writing
Data storytelling and technical presentation skills
Research skills, interpersonal skills, and working knowledge of procedures, instructions, and validation techniques
Communication, critical thinking, collaboration and relationship building, initiative with sound judgment
Technical skills including Big Data analysis, coding, project management, and technical writing
Problem solving and sound judgment when issues are identified

Technologies

SQL, R, Python, Hadoop, SAS, SPSS, Scala
Microsoft Copilot Studio, Azure AI Foundry, AWS, Databricks
LLMs, Generative AI

Desired Qualifications

Prior experience in model validation, model risk management, AI and agentic risk management, enterprise risk management, or internal audit
Deep knowledge and experience with SR 11-7 and/or ASOP 56
Understanding of models and modeling practices used in credit risk management, fraud detection, BSA/AML, operations, treasury and finance, marketing models, and similar use cases
Knowledge of regulations and frameworks including CECL, CCAR, Anti-Money Laundering, ECOA, FCRA, NIST AI Risk Management Framework, ISO/IEC 42001 Artificial Intelligence Management System, etc.
Advanced knowledge of Navy Federal Credit Union instructions, standards, and procedures
Master’s Degree in Data Science, Statistics, Mathematics, Computers Science, Engineering, or another quantitative or related field

Additional Information

Work authorization: Navy Federal Credit Union does not provide sponsorship for this role. Applicants must be authorized to work in the United States without the need for current or future sponsorship.
Employee referral: Eligible for the TalentQuest employee referral program.

Disclaimers and Process Notes

Navy Federal may fill this role at a higher or lower grade level based on business need.
An assessment may be required to compete.
Job postings may close early or extend based on qualified applicant volume.
Navy Federal assesses market data to establish salary ranges.

Job Scam Prevention

Jobs are posted on the career site (jobs.navyfederal.org) and reputable job boards (e.g., LinkedIn, Indeed).
Navy Federal does not post jobs on social media marketplaces, messaging apps, or unverified websites.
Navy Federal will never ask candidates for payment, bank details, or personal financial information during the hiring process.

Bank Secrecy Act and Accommodations

Bank Secrecy Act (BSA): The role remains cognizant of and adheres to Navy Federal policies, procedures, and regulations pertaining to the BSA.
Accommodations: If you need accommodation or assistance for a qualifying condition during the online application or any stage of the hiring process, contact medicalaccommodations@navyfederal.org or call 1-888-503-6013.

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1mo ago

Senior Principal Data Scientist (Marketing Channel Optimization)

Navy Federal Credit Union Vienna, VA

Vienna, VA

1mo ago Closed

$150k - $206k/yr Full time Manager Senior Big Data

This position is no longer accepting applications (closed Sep 6, 2026).

Job Description

Use organizational data to build predictive solutions and optimize marketing channel performance with advanced, largely unsupervised analytics.

Responsibilities

Direct existing principles and guide development of new policies
Deliver innovative solutions using exploratory data analysis across complex, high-dimensional datasets
Spot opportunities, define business questions, and uncover valuable insights
Formulate and test hypotheses; analyze and interpret results
Develop and code the most complex software programs, algorithms, and automated processes
Translate complex business and technical needs into technology objectives
Document and present analytical findings using effective written and verbal communication to support critical decisions
Serve as a recognized subject matter expert and advanced individual contributor for highly complex work
Maintain and foster strong working relationships with team members, subject matter experts, and senior leaders
Research and apply new best practices, including ethical AI practices
Advise senior leaders with analytical insights and solutions to solve business problems
May lead complex technical projects and initiatives with significant impact
Lead development and enhancement of practices, procedures, and instructions
Act as a lead technical resource for other team members
Mentor and support leading lower levels

Requirements

10+ years of relevant experience
In-depth professional knowledge, acumen, and concepts; requires a specialized skill set
Solid understanding of business dynamics and strategy
Expertise across statistics, machine learning, programming, data modeling, simulation, trend analysis, visualization, and advanced mathematics to recognize patterns
Proficiency with SQL, R, Python, Hadoop, SAS, SPSS, Scala, AWS
Project Management skills
Model lifecycle execution
Technical writing; data storytelling and technical presentation skills
Research skills, interpersonal skills, and mentoring
Communication, critical thinking, and thought leadership
Initiative with sound judgment
Technical capabilities (Big Data Analysis, coding, project management, technical writing, etc.)
Independent judgment (extensive experience)
Problem solving that recognizes potential issues and risks for long-term implications
Master’s Degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, or similar quantitative field

Desired Qualifications

PhD in Data Science, Statistics, Mathematics, Computer Science, or Engineering

Technologies

SQL
R
Python
Hadoop
SAS
SPSS
Scala
AWS

Work Location and Schedule

Location: 820 Follin Ln, Vienna, Virginia 22180
Work mode: Onsite (Vienna, VA)
Hours: Monday - Friday, 8:00AM - 4:30PM

Compensation

Salary range: USD 150,100 - 206,450 per year
Paid within the salary range based on experience, location, and market position

Disclaimers

Navy Federal reserves the right to fill this role at a higher or lower grade level based on business need
An assessment may be required to compete for this position
Job postings may close early or extend beyond the anticipated closing date at the hiring team’s discretion based on qualified applicant volume
Navy Federal Credit Union assesses market data to establish salary ranges to remain competitive

Protect Yourself From Job Scams

Navy Federal Credit Union jobs are posted on jobs.navyfederal.org and reputable job boards (e.g., LinkedIn, Indeed)
Do not post jobs on social media marketplaces, messaging apps, or unverified websites
Will not ask candidates for payment, bank details, or personal financial information during hiring

Bank Secrecy Act

Adheres to Navy Federal policies, procedures, and regulations related to the Bank Secrecy Act

Address: 820 Follin Ln, Vienna, VA 22180

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1mo ago

Oracle Database Administrator (Data Engineer)

Navy Federal Credit Union Vienna, VA

Vienna, VA

1mo ago Closed

$78k - $123k/yr Full time Cloud Database Database Administration

This position is no longer accepting applications (closed Sep 6, 2026).

Job Description

Navy Federal Credit Union is seeking an Oracle Database Administrator (Data Engineer) to research, design, implement, and maintain Oracle database solutions. This onsite role in Vienna, VA includes production support coverage through a rotating 24/7 on-call DBA rotation, along with responsibilities across high availability, disaster recovery, security, automation, monitoring, and IT service management.

Key Responsibilities

Administer Oracle Real Applications Clusters (RAC) running on IBM AIX (install, setup, configuration, performance tuning, and operational support for high availability).
Support enterprise Oracle databases on Oracle Cloud Infrastructure (OCI), including provisioning, migration, optimization, and ongoing support.
Implement security controls for client-to-database and server communication using TLS 1.2 network encryption.
Perform quarterly Critical Patch Updates (CPU) across database environments using Oracle Fleet Maintenance and OEM automation.
Build, maintain, and test Oracle Data Guard physical standby configurations to support high availability, zero data loss, and swift failovers.
Automate routine database management tasks (provisioning, backup monitoring, health checks) using Ansible and Shell scripting.
Use OEM for proactive monitoring, diagnostics, and performance management.
Manage incidents and change tickets in ServiceNow, performing root cause analysis and responding promptly to 24/7 on-call notifications for major incident bridges or critical database system alerts.
Apply engineering principles to the design and enhancement of new and existing systems, and document newly built components or modifications.
Ensure solutions meet Navy Federal, industry engineering, and Information Security principles and practices.
Conduct engineering tasks including technology research, procurement, deployment, and configuration for new or modified systems.
Provide technical leadership in architecture discipline and information technology solution development.
Present clear, organized, and concise information to multiple audiences through a variety of media to support business decisions.
Perform installation, upgrade, and migration of Oracle RAC databases.
Deliver performance tuning for production Oracle databases.
Design and implement high availability solutions using Oracle RAC and Oracle Data Guard.
Maintain security compliance by applying Oracle quarterly security patch releases to databases.
Participate in the 24/7 on-call DBA rotation supporting the Oracle DB Team.
Perform other duties as assigned.

Required Qualifications

2-5 years of Oracle Database Administrator experience with a proven track record administering Oracle RAC on the AIX platform.
Hands-on experience creating and supporting database deployments in Oracle Cloud Infrastructure (OCI) or similar.
Experience implementing and supporting Oracle Multi-tenant Architecture databases.
Advanced automation scripting experience.
Significant experience with Oracle EM and Oracle Fleet Maintenance.
Advanced knowledge of engineering discipline, organizational planning, and time management.
Ability to exercise initiative and good judgment to make sound decisions.
Database and presentation software skills; strong research, analytical, and problem-solving skills.
Expert verbal and written communication skills; word processing and spreadsheet software skills.
Bachelor’s Degree in Business Administration, Information Technology, or the equivalent combination of training, education, and experience.

Technologies

Oracle RAC
AIX (IBM AIX operating systems)
Oracle Cloud Infrastructure (OCI)
TLS 1.2
Oracle Fleet Maintenance
OEM
Oracle Data Guard
Oracle Multi-tenant Architecture
Ansible
Shell
ServiceNow
Oracle EM
Oracle Real Applications Clusters (RAC)
Dataguard

Work Location and Schedule

Location: Onsite in Vienna, VA
Addresses: 820 Follin Lane, Vienna, VA 22180; 141 Security Drive Winchester, VA 22602
Hours: Monday to Friday, 8:00AM to 4:30PM (rotating on-call schedule required)

Additional Role Details

Authorization: Navy Federal does not provide sponsorship for this role. Applicants must be authorized to work in the United States without current or future sponsorship.
Compensation: Salary range is USD 78,400 - 123,200 per year, paid within the range based on experience, location, and market position.

Disclaimers and safeguards: Navy Federal reserves the right to fill at a higher or lower grade level based on business need. An assessment may be required. Job postings may close early or extend at the hiring team’s discretion. Compensation and benefits details are available on the Navy Federal Career Site. The company also provides guidance on protecting against job scams and notes adherence to Bank Secrecy Act policies and Equal Employment Opportunity requirements. If you need application accommodations, contact Navy Federal’s Medical Accommodations team at medicalaccommodations@navyfederal.org or 1-888-503-6013.

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1mo ago

Senior Data Scientist (Membership Analytics)

Navy Federal Credit Union Vienna, VA

Vienna, VA

1mo ago Closed

$99k - $156k/yr Full time Senior Amazon Web Services Artificial Intelligence

This position is no longer accepting applications (closed Sep 4, 2026).

Job Description

The role involves delivering independent data science, machine learning, and analytics insights using member, financial, and organizational data to support mission critical decision making. Work includes building descriptive, predictive, and prescriptive models, supporting analyses of increasing complexity with moderate supervision, and communicating results to stakeholders.

Role Overview

As a Senior Data Scientist, you will design and evaluate predictive models and advanced algorithms, extract meaningful insights from large data and metadata sources, and translate findings into charts, tables, and other decision-support formats. You will also test hypotheses, analyze outcomes, and interpret results while applying sound judgment within defined procedures and practices.

Key Responsibilities

Design, develop, and evaluate moderately complex predictive models and advanced algorithms
Identify meaningful insights from large data and metadata sources
Test hypotheses and models, analyze results, and interpret findings
Exercise sound judgment and discretion within defined procedures and practices
Develop and code moderately complex software programs, algorithms, and automated processes
Use modeling and trend analysis to analyze data and provide insights
Develop an understanding of best practices and ethical AI
Transform data into charts and tables that support effective decision making
Build working relationships with team members and subject matter experts
Lead small projects and initiatives
Document and present analysis findings using effective written and verbal communication to a diverse stakeholder audience

Required Qualifications

3 to 5 years of experience in exploratory data analysis
Basic understanding of the business and operating environment
Statistics
Programming, data modeling, simulation, and advanced mathematics
SQL, R, Python, Hadoop, SAS, SPSS, Scala, and AWS
Model lifecycle execution
Technical writing
Data storytelling and technical presentation skills
Research skills
Interpersonal skills
Working knowledge of procedures, instructions, and validation techniques
Model development, communication, critical thinking, and problem solving
Collaborate and build relationships; demonstrate initiative with sound judgment
Technical skills including big data analysis, coding, project management, and technical writing
Bachelor’s degree in Data Science, Statistics, Mathematics, Computers Science, Engineering, or similar quantitative fields