Analytics Manager Visa Sponsorship Jobs in Washington DC
Washington DC's analytics manager market is driven by federal contractors, policy research organizations, and technology firms like Booz Allen Hamilton, Deloitte, and Leidos. International candidates with data strategy experience find strong sponsorship activity here, particularly in government-facing consulting and health data sectors. The city's concentration of mission-driven organizations creates consistent demand for senior analytics talent.
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INTRODUCTION
Playing an essential role in the U.S. economy, Fannie Mae is foundational to housing finance. Here, your expertise can help fuel purpose-driven innovation that expands access to homeownership and affordable rental housing across the country. Join Fannie Mae to grow your career and help people find a place to call home.
ABOUT THE JOB
As a valued contributor to our Internal Audit Analytics and Modeling team, you will serve as a coach, mentor, and subject matter expert who advances product and initiative workstreams through analytical insight, product and change recommendations, and predictive modeling. You will apply deep expertise in advanced analytics, statistical modeling, machine learning, large-scale data processing, computational programming, and practical problem solving, while translating complex technical concepts for non-technical partners and stakeholders.
In this advisor role, you will partner across Audit, Technology, Enterprise AI, data science, and risk organizations to architect reusable capabilities on a unified platform. These capabilities will strengthen risk detection, continuous monitoring, evidence generation, and control risk insights reporting. You will also help shape the organization's strategy for applying analytics, modeling, AI, and data science to deliver data-driven insights and sound business judgment. Working with senior leadership, you will provide expert guidance on complex models and analytical tools in a well-governed manner and help advance business transformation and innovation.
THE IMPACT YOU WILL MAKE
The Internal Audit – Analytics and Modeling – Advisor role will offer you the flexibility to make each day your own, while working alongside people who care so that you can deliver on the following responsibilities:
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Apply advanced analytics, statistical modeling, machine learning, and data science techniques to design, test, and validate audit solutions aligned with audit methodology and industry best practices.
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Translate complex mathematical, business, risk, and modeling logic into reusable workflows that strengthen audit assurance, continuous monitoring, timely risk detection, and evidence generation at scale.
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Collaborate with Audit, Technology, Enterprise AI, data science, risk, and platform partners to build unified, reusable analytical and predictive capabilities supported by documentation and governance.
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Advise Audit executives, senior leadership, auditors, and business stakeholders by translating complex analysis into actionable insights, recommendations, and executive-ready presentations.
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Develop and guide emerging analytics, AI, modeling, and data science capabilities that solve complex business and technical problems and inform the team’s technical direction.
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Assess model effectiveness, fitness for use, performance, limitations, and drivers; ensure models are appropriately tested, monitored, and aligned with usage goals.
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Lead and coordinate cross-functional teams throughout the model management lifecycle, including prioritizing requirements, vetting adjustments, resolving findings, and escalating issues as needed.
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Stay current on industry best practices, regulatory requirements, and internal standards while supporting compliance and promoting a model risk management culture grounded in accountability, transparency, and proactivity.
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Represent the Analytics team in key internal, regulatory, and industry forums, sharing best practices and thought leadership in analytics and modeling across Fannie Mae’s business.
THE EXPERIENCE YOU BRING TO THE TEAM
Minimum Required Experiences
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6 years of experience.
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3+ years of experience applying advanced analytics, machine learning, and statistical methods to deliver actionable insights and improve efficiency within Audit or Risk functions, with a strong understanding of audit analytics and assurance practices.
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Advanced proficiency in Python, data science, and machine learning techniques.
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Extensive experience developing advanced analytics solutions and workflows.
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Master's degree in Data Science, Math, Statistics, or Engineering or related field.
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Strong analytical skills to support testing, validation, and business decision-making.
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Excellent communication skills, including the ability to coordinate effectively between model developers and model users.
Desired Experiences
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PhD preferred in Data Science, Economics, Math, Statistics, or a related field, or comparable years of experience.
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Experience in Audit, Risk Management, and highly regulated industries.
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Experience with advanced analytical techniques such as regression, anomaly detection, outlier analyses, random forests, and machine learning algorithms.
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Strong technical writing, presentation, and stakeholder communication skills.
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Proven ability to manage relationships across cross-functional teams.
QUALIFICATIONS
Education: Master's Level Degree (Required)
LOCATION
LI-Remote
The future is what you make it to be. Discover compelling opportunities at Fanniemae.com/careers.
For most roles, employees are expected to work onsite on a regular basis at their designated office location. In-office work cadence is determined by your manager. Proximity within a reasonable commute to your designated office location is preferred unless the job is noted as open to remote.
Fannie Mae is an equal opportunity employer and considers qualified applicants for employment without regard to race, color, religion, sex, national origin, disability, age, sexual orientation, gender identity/gender expression, marital or parental status, or any other protected factor. Fannie Mae is committed to providing reasonable accommodations to qualified individuals with disabilities who are employees or applicants for employment, unless to do so would cause undue hardship to the company. If you need assistance using our online system and/or you need a reasonable accommodation related to the hiring/application process, please complete this form.
The hiring range for this role is set forth below. Final salaries will generally vary within that range based on factors that include but are not limited to, skill set, depth of experience, certifications, and other relevant qualifications. This position is eligible to participate in a Fannie Mae incentive program (subject to the terms of the program). As part of our comprehensive benefits package, Fannie Mae offers a broad range of Health, Life, Voluntary Lifestyle, and other benefits and perks that enhance an employee's physical, mental, emotional, and financial well-being. See more here.
Requisition compensation: 141000 to 184000
Analytics Manager Job Roles in Washington DC
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Search Analytics Manager Jobs in Washington DCAnalytics Manager Jobs in Washington DC: Frequently Asked Questions
Which companies sponsor visas for analytics managers in Washington DC?
Federal consulting firms are the most active sponsors for analytics managers in Washington DC. Booz Allen Hamilton, Deloitte, Accenture Federal Services, Leidos, and SAIC regularly file H-1B visa petitions for senior data and analytics roles. Think tanks and health policy organizations such as MITRE and ICF also sponsor, particularly for candidates with public sector data experience or advanced degrees in quantitative fields.
Which visa types are most common for analytics manager roles in Washington DC?
The H-1B is the most common visa category for analytics managers in Washington DC, as the role typically requires a bachelor's degree or higher in a field like statistics, computer science, or information systems. Candidates with an advanced degree may also pursue EB-2 green card pathways through employer sponsorship. Those from Australia may find the E-3 visa available through DC-area employers familiar with that category.
How to find analytics manager visa sponsorship jobs in Washington DC?
Migrate Mate filters job listings specifically by visa sponsorship availability, making it straightforward to identify analytics manager roles in Washington DC where employers are actively open to sponsoring. Rather than sifting through general job postings, you can search directly for sponsored positions in DC's federal consulting, health data, and technology sectors, which are the highest-concentration areas for this role.
Which areas in Washington DC have the most analytics manager sponsorship jobs?
Most analytics manager sponsorship activity concentrates in the DC core and its immediate suburbs. The Rosslyn-Ballston corridor in Arlington, Virginia, hosts a dense cluster of federal contractors. Bethesda and Rockville in Maryland attract health data and NIH-adjacent employers. Downtown DC itself draws policy-focused organizations and consulting firms. All of these areas fall within the broader DC metro job market and are commonly listed together by employers.
Are there any Washington DC-specific considerations for analytics manager visa sponsorship?
Washington DC's analytics manager market is heavily tied to federal contract work, which can affect sponsorship timelines. Some positions require security clearance eligibility, and employers may prefer candidates who can initiate the clearance process, which can complicate sponsorship for certain visa holders. The concentration of large consulting firms also means that many sponsoring employers are experienced with H-1B filings and have established immigration counsel, which generally streamlines the process for candidates.
What is the prevailing wage for sponsored analytics manager jobs in Washington DC?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.