Data Analytics Manager Visa Sponsorship Jobs in Maryland
Maryland's data analytics manager roles are concentrated around the Baltimore-Washington corridor, with major employers including Leidos, Booz Allen Hamilton, T. Rowe Price, and Johns Hopkins Health System. Federal contracting firms and financial services companies here regularly sponsor H-1B visas for senior analytics talent, making Maryland one of the more active mid-Atlantic states for this role.
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Get Access To All JobsWhy Join GEICO?
At GEICO, we offer a rewarding career where your ambitions are met with endless possibilities.
Every day we honor our iconic brand by offering quality coverage to millions of customers and being there when they need us most. We thrive on relentless innovation to exceed our customers' expectations while making a real impact on local communities nationwide.
Founded in 1936, GEICO is a member of the Berkshire Hathaway family of companies and one of the largest auto insurers in the United States. When you join our company, we want you to feel valued, supported, and proud to work here. That's why we offer the GEICO Pledge: Great Company, Great Culture, Great Rewards, and Great Careers.
Summary
Under minimal supervision, develops and maintains robust data solutions, reporting frameworks, dashboards, and visualizations that drive business insights and support strategic decision-making. Partners closely with business stakeholders, data engineers, architects, governance teams, and technology partners to translate business requirements into scalable analytical solutions.
This role is responsible for leading complex analytical initiatives, overseeing data preparation and governance activities, developing reporting and modeling solutions, and identifying opportunities to improve business performance through data-driven decision making. The position supports a variety of business functions, including Underwriting, Claims, Marketing, Advertising, and Product Management.
The ideal candidate combines advanced analytical expertise, strong business acumen, project leadership skills, and the ability to communicate insights and recommendations to both technical and non-technical audiences.
Key Responsibilities:
Data Strategy & Analytics:
- Lead the design, development, and maintenance of data models, analytical solutions, reports, and dashboards.
- Manage complex data extraction, transformation, and validation processes to ensure data quality and accuracy.
- Serve as a subject matter expert across multiple business and data domains.
- Translate business problems into analytical approaches and actionable recommendations.
- Perform advanced statistical analysis, data mining, forecasting, and research to support business objectives.
- Develop innovative solutions to address complex business challenges and improve operational performance.
- Lead data exploration, proof-of-concept initiatives, and research efforts to evaluate emerging analytical methodologies.
Data Management & Governance:
- Oversee departmental data sources and ensure consistent application of data standards and governance practices.
- Validate, reconcile, and monitor data sources for reasonableness, completeness, and accuracy.
- Develop and maintain documentation including data definitions, business rules, technical specifications, and analytical methodologies.
- Identify, assess, and implement new data sources and technologies to improve analytics capabilities.
- Partner with Data Governance and Technology teams to support enterprise data initiatives.
Reporting & Business Intelligence:
- Oversee the development and maintenance of management reporting related to key business and operational metrics.
- Design and automate recurring reports, scorecards, and dashboards to improve efficiency and insight delivery.
- Analyze trends related to loss frequency, severity, geographic performance, customer behavior, operational effectiveness, and product performance.
- Present analytical findings and business recommendations to leadership and stakeholder groups.
Project Leadership:
- Lead cross-functional analytical projects from concept through implementation.
- Manage project plans, priorities, deliverables, and stakeholder communications.
- Drive execution of analytical initiatives supporting strategic business objectives and product enhancements.
- Coordinate with technology teams on system enhancements, data requirements, and testing activities.
- Support production implementation of analytical models and business solutions.
Process Improvement & Innovation:
- Automate and optimize existing processes to improve efficiency, scalability, and data quality.
- Research and evaluate emerging technologies, analytical techniques, and best practices.
- Identify opportunities to increase business value through advanced analytics and process innovation.
- Consult with business partners on analytical strategies, decision support, and performance improvement initiatives.
Mentorship & Knowledge Sharing:
- Provide guidance and technical leadership to junior analysts and team members.
- Review analytical work products and provide coaching to ensure quality and consistency.
- Develop and deliver training on analytical methods, tools, data interpretation, and business applications.
- Foster a culture of continuous learning and analytical excellence.
Qualifications
Education:
Required:
- Bachelor's degree in Statistics, Mathematics, Data Science, Economics, Computer Science, Engineering, Operations Research, or a related quantitative field.
- Master's degree or PhD in a quantitative discipline.
- Minimum 9 years of analytical experience with a Bachelor's degree, OR
- Minimum 7 years of analytical experience with a Master's degree.
- Experience leading complex analytical projects and cross-functional initiatives.
- Experience working within insurance, financial services, or other highly data-driven environments preferred.
- Strong background supporting business functions such as Claims, Underwriting, Marketing, Product Management, or Pricing.
Technical Skills:
Required:
- Advanced SQL/SAS SQL proficiency.
- Experience with cloud-based data platforms and databases.
- Strong proficiency in R.
- Advanced Microsoft Excel skills, including: Pivot Tables, VLOOKUP/XLOOKUP, Charts and data visualization, Complex formulas and analysis.
- Experience creating analytical reports, dashboards, and data models.
- Ability to apply statistical, mathematical, and data mining techniques to solve business problems.
Preferred:
- Python programming experience.
- Experience with business intelligence and visualization tools (Power BI, Tableau, or similar).
- Experience with machine learning and predictive analytics.
- Familiarity with data governance and data quality frameworks.
Business Knowledge:
- Understanding of insurance products, rating methodologies, and insurance principles.
- Knowledge of Claims, Underwriting, Marketing, Agency Operations, or related insurance functions.
- Experience with project management, process improvement, and operational analytics.
- Strong ability to translate data insights into business recommendations.
Competencies:
- Strategic Thinking
- Analytical Problem Solving
- Project Leadership
- Stakeholder Management
- Data Storytelling and Communication
- Innovation and Continuous Improvement
- Collaboration and Influencing Skills
- Attention to Detail
- Mentoring and Team Development
Additional Requirements:
- Ability to work independently and collaboratively in a team environment.
- Ability to manage multiple priorities and competing deadlines.
- Ability to learn and apply complex technical, business, and operational concepts.
- Strong written and verbal communication skills.
- Ability to perform essential job functions with or without reasonable accommodation, including seeing, hearing, speaking, and using computer systems.
Annual Salary
$100,000.00 - $300,000.00
The above annual salary range is a general guideline. Multiple factors are taken into consideration to arrive at the final hourly rate/annual salary to be offered to the selected candidate. Factors include, but are not limited to, the scope and responsibilities of the role, the selected candidate’s work experience, education and training, the work location as well as market and business considerations.
GEICO will consider sponsoring a new qualified applicant for employment authorization for this position.
The GEICO Pledge:
Great Company: Protecting customers through life’s twists and turns with innovation and integrity.
Great Careers: Personalized development programs, mentorship, and certification assistance.
Great Culture: Inclusive and collaborative culture rooted in shared success.
Great Rewards: Competitive pay, benefits, and flexibility to support your well-being and future.
The equal employment opportunity policy of the GEICO Companies provides for a fair and equal employment opportunity for all associates and job applicants regardless of race, color, religious creed, national origin, ancestry, age, gender, pregnancy, sexual orientation, gender identity, marital status, familial status, disability or genetic information, in compliance with applicable federal, state and local law. GEICO hires and promotes individuals solely on the basis of their qualifications for the job to be filled.
GEICO reasonably accommodates qualified individuals with disabilities to enable them to receive equal employment opportunity and/or perform the essential functions of the job, unless the accommodation would impose an undue hardship to the Company. This applies to all applicants and associates. GEICO also provides a work environment in which each associate is able to be productive and work to the best of their ability. We do not condone or tolerate an atmosphere of intimidation or harassment. We expect and require the cooperation of all associates in maintaining an atmosphere free from discrimination and harassment with mutual respect by and for all associates and applicants.
Why Join GEICO?
At GEICO, we offer a rewarding career where your ambitions are met with endless possibilities.
Every day we honor our iconic brand by offering quality coverage to millions of customers and being there when they need us most. We thrive on relentless innovation to exceed our customers' expectations while making a real impact on local communities nationwide.
Founded in 1936, GEICO is a member of the Berkshire Hathaway family of companies and one of the largest auto insurers in the United States. When you join our company, we want you to feel valued, supported, and proud to work here. That's why we offer the GEICO Pledge: Great Company, Great Culture, Great Rewards, and Great Careers.
Summary
Under minimal supervision, develops and maintains robust data solutions, reporting frameworks, dashboards, and visualizations that drive business insights and support strategic decision-making. Partners closely with business stakeholders, data engineers, architects, governance teams, and technology partners to translate business requirements into scalable analytical solutions.
This role is responsible for leading complex analytical initiatives, overseeing data preparation and governance activities, developing reporting and modeling solutions, and identifying opportunities to improve business performance through data-driven decision making. The position supports a variety of business functions, including Underwriting, Claims, Marketing, Advertising, and Product Management.
The ideal candidate combines advanced analytical expertise, strong business acumen, project leadership skills, and the ability to communicate insights and recommendations to both technical and non-technical audiences.
Key Responsibilities:
Data Strategy & Analytics:
- Lead the design, development, and maintenance of data models, analytical solutions, reports, and dashboards.
- Manage complex data extraction, transformation, and validation processes to ensure data quality and accuracy.
- Serve as a subject matter expert across multiple business and data domains.
- Translate business problems into analytical approaches and actionable recommendations.
- Perform advanced statistical analysis, data mining, forecasting, and research to support business objectives.
- Develop innovative solutions to address complex business challenges and improve operational performance.
- Lead data exploration, proof-of-concept initiatives, and research efforts to evaluate emerging analytical methodologies.
Data Management & Governance:
- Oversee departmental data sources and ensure consistent application of data standards and governance practices.
- Validate, reconcile, and monitor data sources for reasonableness, completeness, and accuracy.
- Develop and maintain documentation including data definitions, business rules, technical specifications, and analytical methodologies.
- Identify, assess, and implement new data sources and technologies to improve analytics capabilities.
- Partner with Data Governance and Technology teams to support enterprise data initiatives.
Reporting & Business Intelligence:
- Oversee the development and maintenance of management reporting related to key business and operational metrics.
- Design and automate recurring reports, scorecards, and dashboards to improve efficiency and insight delivery.
- Analyze trends related to loss frequency, severity, geographic performance, customer behavior, operational effectiveness, and product performance.
- Present analytical findings and business recommendations to leadership and stakeholder groups.
Project Leadership:
- Lead cross-functional analytical projects from concept through implementation.
- Manage project plans, priorities, deliverables, and stakeholder communications.
- Drive execution of analytical initiatives supporting strategic business objectives and product enhancements.
- Coordinate with technology teams on system enhancements, data requirements, and testing activities.
- Support production implementation of analytical models and business solutions.
Process Improvement & Innovation:
- Automate and optimize existing processes to improve efficiency, scalability, and data quality.
- Research and evaluate emerging technologies, analytical techniques, and best practices.
- Identify opportunities to increase business value through advanced analytics and process innovation.
- Consult with business partners on analytical strategies, decision support, and performance improvement initiatives.
Mentorship & Knowledge Sharing:
- Provide guidance and technical leadership to junior analysts and team members.
- Review analytical work products and provide coaching to ensure quality and consistency.
- Develop and deliver training on analytical methods, tools, data interpretation, and business applications.
- Foster a culture of continuous learning and analytical excellence.
Qualifications
Education:
Required:
- Bachelor's degree in Statistics, Mathematics, Data Science, Economics, Computer Science, Engineering, Operations Research, or a related quantitative field.
- Master's degree or PhD in a quantitative discipline.
- Minimum 9 years of analytical experience with a Bachelor's degree, OR
- Minimum 7 years of analytical experience with a Master's degree.
- Experience leading complex analytical projects and cross-functional initiatives.
- Experience working within insurance, financial services, or other highly data-driven environments preferred.
- Strong background supporting business functions such as Claims, Underwriting, Marketing, Product Management, or Pricing.
Technical Skills:
Required:
- Advanced SQL/SAS SQL proficiency.
- Experience with cloud-based data platforms and databases.
- Strong proficiency in R.
- Advanced Microsoft Excel skills, including: Pivot Tables, VLOOKUP/XLOOKUP, Charts and data visualization, Complex formulas and analysis.
- Experience creating analytical reports, dashboards, and data models.
- Ability to apply statistical, mathematical, and data mining techniques to solve business problems.
Preferred:
- Python programming experience.
- Experience with business intelligence and visualization tools (Power BI, Tableau, or similar).
- Experience with machine learning and predictive analytics.
- Familiarity with data governance and data quality frameworks.
Business Knowledge:
- Understanding of insurance products, rating methodologies, and insurance principles.
- Knowledge of Claims, Underwriting, Marketing, Agency Operations, or related insurance functions.
- Experience with project management, process improvement, and operational analytics.
- Strong ability to translate data insights into business recommendations.
Competencies:
- Strategic Thinking
- Analytical Problem Solving
- Project Leadership
- Stakeholder Management
- Data Storytelling and Communication
- Innovation and Continuous Improvement
- Collaboration and Influencing Skills
- Attention to Detail
- Mentoring and Team Development
Additional Requirements:
- Ability to work independently and collaboratively in a team environment.
- Ability to manage multiple priorities and competing deadlines.
- Ability to learn and apply complex technical, business, and operational concepts.
- Strong written and verbal communication skills.
- Ability to perform essential job functions with or without reasonable accommodation, including seeing, hearing, speaking, and using computer systems.
Annual Salary
$100,000.00 - $300,000.00
The above annual salary range is a general guideline. Multiple factors are taken into consideration to arrive at the final hourly rate/annual salary to be offered to the selected candidate. Factors include, but are not limited to, the scope and responsibilities of the role, the selected candidate’s work experience, education and training, the work location as well as market and business considerations.
GEICO will consider sponsoring a new qualified applicant for employment authorization for this position.
The GEICO Pledge:
Great Company: Protecting customers through life’s twists and turns with innovation and integrity.
Great Careers: Personalized development programs, mentorship, and certification assistance.
Great Culture: Inclusive and collaborative culture rooted in shared success.
Great Rewards: Competitive pay, benefits, and flexibility to support your well-being and future.
The equal employment opportunity policy of the GEICO Companies provides for a fair and equal employment opportunity for all associates and job applicants regardless of race, color, religious creed, national origin, ancestry, age, gender, pregnancy, sexual orientation, gender identity, marital status, familial status, disability or genetic information, in compliance with applicable federal, state and local law. GEICO hires and promotes individuals solely on the basis of their qualifications for the job to be filled.
GEICO reasonably accommodates qualified individuals with disabilities to enable them to receive equal employment opportunity and/or perform the essential functions of the job, unless the accommodation would impose an undue hardship to the Company. This applies to all applicants and associates. GEICO also provides a work environment in which each associate is able to be productive and work to the best of their ability. We do not condone or tolerate an atmosphere of intimidation or harassment. We expect and require the cooperation of all associates in maintaining an atmosphere free from discrimination and harassment with mutual respect by and for all associates and applicants.
Data Analytics Manager Job Roles in Maryland
See all 102+ Data Analytics Manager Jobs in Maryland
Sign up for free to filter by visa type, set job alerts, and find employers with verified sponsorship history.
Search Data Analytics Manager Jobs in MarylandData Analytics Manager Jobs in Maryland: Frequently Asked Questions
Which companies sponsor visas for data analytics managers in Maryland?
Federal contractors and consulting firms dominate Maryland's sponsorship activity for data analytics managers. Booz Allen Hamilton, Leidos, SAIC, and Northrop Grumman file H-1B petitions regularly for analytics leadership roles tied to government contracts. Outside the defense sector, T. Rowe Price, CareFirst BlueCross BlueShield, and University of Maryland Medical System have also appeared in Department of Labor disclosure data as sponsors for senior data and analytics positions.
Which visa types are most common for data analytics manager roles in Maryland?
The H-1B is the most common visa category for data analytics managers in Maryland, as the role typically qualifies as a specialty occupation requiring a bachelor's degree or higher in a relevant field such as statistics, computer science, or information systems. Candidates already holding L-1 visa intracompany transferee status at a multinational firm with Maryland operations represent another pathway, particularly within large consulting organizations headquartered or contracted in the state.
Which cities in Maryland have the most data analytics manager sponsorship jobs?
Bethesda and Rockville in Montgomery County account for a significant share of Maryland's analytics sponsorship activity, driven by the concentration of federal contractors, biotech firms, and health agencies near the D.C. border. Baltimore is the second major hub, with employers in financial services, healthcare, and higher education. Annapolis and Greenbelt see smaller but consistent activity, primarily from government-adjacent technology and research organizations.
How to find data analytics manager visa sponsorship jobs in Maryland?
Migrate Mate is designed specifically for international job seekers and filters data analytics manager roles in Maryland by employers with a documented history of visa sponsorship. Rather than sorting through general job listings, you can browse roles where H-1B sponsorship has been confirmed through Department of Labor filings. This is especially useful in Maryland, where sponsorship activity is concentrated among federal contractors and healthcare organizations that may not always advertise sponsorship explicitly in job postings.
Are there any Maryland-specific considerations for data analytics managers seeking visa sponsorship?
Maryland's proximity to federal agencies means many data analytics manager roles with contractors require security clearance eligibility, which can affect sponsorship timelines and employer willingness to sponsor. The state also has a strong university pipeline through University of Maryland College Park and Johns Hopkins, meaning competition for sponsored roles can be significant. Employers subject to government contract compliance must meet prevailing wage requirements set by the Department of Labor, which are factored into the Labor Condition Application filed before H-1B petitions.
What is the prevailing wage for sponsored data analytics manager jobs in Maryland?
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.