Data Management Analyst Visa Sponsorship Jobs in Virginia
Virginia is a strong market for data management analyst roles, anchored by federal contractors, defense agencies, and technology firms concentrated in Northern Virginia's Dulles corridor and the D.C. suburbs. Employers like Booz Allen Hamilton, Leidos, SAIC, and General Dynamics Information Technology regularly hire for data management and analytics positions and have established visa sponsorship programs.
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Madison Energy Infrastructure is one of the largest and fastest-growing commercial solar asset owners in the country. We manage hundreds of distributed generation sites across the U.S., with production data flowing in hourly and financial outcomes tied directly to the accuracy of our reporting. We believe great asset management starts with great data. Not dashboards for dashboards’ sake — but accurate, timely, decision-ready information that operations, finance, and leadership can trust. We’re scaling fast. That means complexity, volume, and real responsibility. We need people who can keep up — and raise the bar while they’re at it.
About You
You are disciplined, data-oriented, and dependable. You know the Excel shortcuts, you build pivot tables in your sleep, and you are curious enough to see whether Claude can generate a report faster than you can and disciplined enough to validate every number it produces. You take full ownership of your work. You are fluent in SQL, with working knowledge of Python and or R, and you are comfortable using code when it is the right tool for the job. You understand the expectations of a corporate environment where accuracy, responsiveness, and follow through matter and you perform well under that pressure. You are comfortable operating in Snowflake, PowerBI, Salesforce, and Excel, and you know where logic belongs. You manage multiple requests, communicate priorities clearly, and close the loop. You want to be in a growth environment. You want responsibility, high standards, and the opportunity to earn trust by delivering consistently. And yes you probably enjoy the quiet satisfaction of a clean model, a reconciled dataset, and a report that holds up when it really counts.
The Role
As a Senior Data Analyst, Asset Management, you will be responsible for the daily-critical reporting and analytical backbone of our asset management operation. This is not a passive reporting role. You will own production analysis, financial views, and data automation workflows that the business relies on every day. If something breaks, you’ll find it. If something doesn’t make sense, you’ll dig in. If a better system is needed, you’ll help build it. You’ll work closely with Asset Management, Finance, and our Senior Manager of Data Analytics to ensure that what we see, what we bill, and what we report is correct.
Key Responsibilities
- Own daily, weekly, and monthly production reporting across a large and growing solar portfolio (AlsoEnergy → Snowflake → PowerBI)
- Ensure production, financial, and site-level data is accurate, reconciled, and dependable
- Turn around one-off reporting requests quickly and accurately, understanding the context behind the data
- Maintain and tweak the PowerBI dashboards that answer real business questions
- Use Snowflake as the system of calculation and truth, not Excel hacks
- Manage and maintain data automation workflows, including:
- Microsoft PowerApps / Power Automate flows
- Salesforce syncs and reporting layers
- Identify data integrity issues proactively (communications loss, missing data, inconsistencies)
- Support Asset Management and Finance with clean, reliable analysis for decision-making
- Communicate clearly about priorities, timelines, and tradeoffs when multiple requests are in flight
- Continuously improve reporting systems so recurring questions become self-service
What You Bring
- 4+ years in a finance, accounting, or data analysis role
- 3+ year exposure to solar or energy data (nice to have, not required)
- 2+ years hands-on experience with Salesforce (reporting, dashboards, data structure)
- 2+ years working directly in Snowflake or DataBricks
- 10+ years of Excel experience
- 2+ years building reports and models in PowerBI
- 1+ year working with Microsoft PowerApps / Power Automate
- Strong skills in SQL, Python, and/or R
- Background in statistics and analytical thinking
- Obsessive attention to detail — your outputs don’t need rework
- Ability to manage complex workflows and multiple priorities without dropping balls
- Comfortable in a fast-moving, scaling environment
- Proactive, helpful, and willing to dig in
- Strong desire to learn and get better
- Professional experience with Zoom, Slack, Outlook, Teams, Adobe, etc.
- Ability to write clear, professional emails — correct grammar, no spelling mistakes, clean formatting
Benefits
- PTO and company holidays
- Medical, dental, vision
- Employer-paid short-term disability, long-term disability, life insurance
- 401(k) and company match
- Professional development stipend
- Strong culture of collaboration, performance, and personal growth
Compensation
- Salary Range: $90,000 - $120,000 a year
The actual salary offered may vary depending on job-related factors including, but not limited to knowledge, skills, experience and location.
How We Work
At Madison Energy Infrastructure, we believe in the power of clean energy infrastructure to drive real impact—for our customers, our partners, and the communities we serve. We’ve quickly emerged as a preeminent developer, investor, and operator of distributed generation, helping organizations across sectors meet their energy goals with certainty, speed, and trust. Our robust portfolio consists of over half a gigawatt of clean energy infrastructure projects across more than 25 states. We’re building a team that thrives on ownership and ambition. As we expand into direct, end-to-end services for Fortune 500 companies, public entities, and nonprofits alike, we rely on collaborative thinkers who bring structure to complexity, energy to execution, and curiosity to every challenge. Our environment is fast-paced and outcome-oriented—but grounded in the belief that how we work together matters as much as what we deliver. If you’re excited to shape the future of clean energy and be part of a high-performance, high-integrity team, we’d love to meet you.
Madison Energy Infrastructure is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status.
About us
Madison Energy Infrastructure is one of the largest and fastest-growing commercial solar asset owners in the country. We manage hundreds of distributed generation sites across the U.S., with production data flowing in hourly and financial outcomes tied directly to the accuracy of our reporting. We believe great asset management starts with great data. Not dashboards for dashboards’ sake — but accurate, timely, decision-ready information that operations, finance, and leadership can trust. We’re scaling fast. That means complexity, volume, and real responsibility. We need people who can keep up — and raise the bar while they’re at it.
About You
You are disciplined, data-oriented, and dependable. You know the Excel shortcuts, you build pivot tables in your sleep, and you are curious enough to see whether Claude can generate a report faster than you can and disciplined enough to validate every number it produces. You take full ownership of your work. You are fluent in SQL, with working knowledge of Python and or R, and you are comfortable using code when it is the right tool for the job. You understand the expectations of a corporate environment where accuracy, responsiveness, and follow through matter and you perform well under that pressure. You are comfortable operating in Snowflake, PowerBI, Salesforce, and Excel, and you know where logic belongs. You manage multiple requests, communicate priorities clearly, and close the loop. You want to be in a growth environment. You want responsibility, high standards, and the opportunity to earn trust by delivering consistently. And yes you probably enjoy the quiet satisfaction of a clean model, a reconciled dataset, and a report that holds up when it really counts.
The Role
As a Senior Data Analyst, Asset Management, you will be responsible for the daily-critical reporting and analytical backbone of our asset management operation. This is not a passive reporting role. You will own production analysis, financial views, and data automation workflows that the business relies on every day. If something breaks, you’ll find it. If something doesn’t make sense, you’ll dig in. If a better system is needed, you’ll help build it. You’ll work closely with Asset Management, Finance, and our Senior Manager of Data Analytics to ensure that what we see, what we bill, and what we report is correct.
Key Responsibilities
- Own daily, weekly, and monthly production reporting across a large and growing solar portfolio (AlsoEnergy → Snowflake → PowerBI)
- Ensure production, financial, and site-level data is accurate, reconciled, and dependable
- Turn around one-off reporting requests quickly and accurately, understanding the context behind the data
- Maintain and tweak the PowerBI dashboards that answer real business questions
- Use Snowflake as the system of calculation and truth, not Excel hacks
- Manage and maintain data automation workflows, including:
- Microsoft PowerApps / Power Automate flows
- Salesforce syncs and reporting layers
- Identify data integrity issues proactively (communications loss, missing data, inconsistencies)
- Support Asset Management and Finance with clean, reliable analysis for decision-making
- Communicate clearly about priorities, timelines, and tradeoffs when multiple requests are in flight
- Continuously improve reporting systems so recurring questions become self-service
What You Bring
- 4+ years in a finance, accounting, or data analysis role
- 3+ year exposure to solar or energy data (nice to have, not required)
- 2+ years hands-on experience with Salesforce (reporting, dashboards, data structure)
- 2+ years working directly in Snowflake or DataBricks
- 10+ years of Excel experience
- 2+ years building reports and models in PowerBI
- 1+ year working with Microsoft PowerApps / Power Automate
- Strong skills in SQL, Python, and/or R
- Background in statistics and analytical thinking
- Obsessive attention to detail — your outputs don’t need rework
- Ability to manage complex workflows and multiple priorities without dropping balls
- Comfortable in a fast-moving, scaling environment
- Proactive, helpful, and willing to dig in
- Strong desire to learn and get better
- Professional experience with Zoom, Slack, Outlook, Teams, Adobe, etc.
- Ability to write clear, professional emails — correct grammar, no spelling mistakes, clean formatting
Benefits
- PTO and company holidays
- Medical, dental, vision
- Employer-paid short-term disability, long-term disability, life insurance
- 401(k) and company match
- Professional development stipend
- Strong culture of collaboration, performance, and personal growth
Compensation
- Salary Range: $90,000 - $120,000 a year
The actual salary offered may vary depending on job-related factors including, but not limited to knowledge, skills, experience and location.
How We Work
At Madison Energy Infrastructure, we believe in the power of clean energy infrastructure to drive real impact—for our customers, our partners, and the communities we serve. We’ve quickly emerged as a preeminent developer, investor, and operator of distributed generation, helping organizations across sectors meet their energy goals with certainty, speed, and trust. Our robust portfolio consists of over half a gigawatt of clean energy infrastructure projects across more than 25 states. We’re building a team that thrives on ownership and ambition. As we expand into direct, end-to-end services for Fortune 500 companies, public entities, and nonprofits alike, we rely on collaborative thinkers who bring structure to complexity, energy to execution, and curiosity to every challenge. Our environment is fast-paced and outcome-oriented—but grounded in the belief that how we work together matters as much as what we deliver. If you’re excited to shape the future of clean energy and be part of a high-performance, high-integrity team, we’d love to meet you.
Madison Energy Infrastructure is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status.
Data Management Analyst Job Roles in Virginia
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Search Data Management Analyst Jobs in VirginiaData Management Analyst Jobs in Virginia: Frequently Asked Questions
Which companies sponsor visas for data management analysts in Virginia?
Federal contractors and technology firms account for a large share of data management analyst sponsorship in Virginia. Booz Allen Hamilton, Leidos, SAIC, General Dynamics Information Technology, Northrop Grumman, and Deloitte have all filed Labor Condition Applications for data management and analytics roles in the state. Consulting firms and cloud infrastructure companies with offices in Northern Virginia also sponsor regularly for these positions.
Which visa types are most common for data management analyst roles in Virginia?
The H-1B is the most common visa category for data management analysts in Virginia, as the role typically qualifies as a specialty occupation requiring at least a bachelor's degree in a relevant field such as computer science, information systems, or statistics. Candidates already holding L-1B status through a multinational employer and those on OPT or STEM OPT extensions also fill many of these roles before transitioning to H-1B sponsorship.
Which cities in Virginia have the most data management analyst sponsorship jobs?
Northern Virginia, particularly the Tysons Corner, Reston, Herndon, and Arlington areas, accounts for the majority of data management analyst sponsorship activity in the state. This corridor houses the U.S. headquarters or major offices of many federal contractors and technology companies. Richmond and the Hampton Roads region also have hiring activity, though at lower volume, primarily through financial services firms and defense-related employers.
How to find data management analyst visa sponsorship jobs in Virginia?
Migrate Mate filters job listings specifically by visa sponsorship availability, making it practical to search for data management analyst roles in Virginia without manually screening out employers who don't sponsor. You can filter by location to focus on Northern Virginia's contractor corridor or Richmond. Because many Virginia postings come from federal contractors, checking for active Department of Defense or civilian agency contract work can help identify employers actively hiring for these roles on Migrate Mate.
Are there state-specific factors that affect data management analyst sponsorship in Virginia?
Virginia's high concentration of federal contractors introduces a unique consideration: some data management analyst positions require a security clearance, which is generally not available to foreign nationals on nonimmigrant visas. This narrows the pool of sponsoring roles compared to pure commercial technology employers. Candidates benefit from targeting contractors with unclassified or commercial-side data practices, as well as technology companies in Northern Virginia that operate outside the cleared intelligence community.
What is the prevailing wage for sponsored data management analyst jobs in Virginia?
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.
See which data management analyst employers are hiring and sponsoring visas in Virginia right now.
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