Data Analyst Lead Jobs in USA with Visa Sponsorship
Data Analyst Lead roles attract H-1B visa, O-1, and EB-2 NIW sponsorship from employers across tech, finance, and healthcare. Roles typically require a bachelor's degree in a quantitative field, and most sponsoring employers file LCAs classifying the position as a specialty occupation. For detailed occupation requirements, see the O*NET profile.
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Get Access To All JobsINTRODUCTION
In Albemarle County Public Schools, we work together as a team to end the predictive value of race, class, gender, and special capacities for our children’s success through high-quality teaching and learning for all. We seek to build relationships with families and communities to ensure that every student succeeds. We will know every student!
We are the first public school division in Virginia, and among the first in the country, to develop and implement an Anti-Racism policy with the expressed purpose of building school communities that share the responsibility to recognize and end racism, eliminate inequitable practices that result in achievement gaps, and support the unique gifts, talents, and interests of every child. In ACPS, “all” really means all.
ROLE AND RESPONSIBILITIES
Mathematics Improvement and Data Analysis Lead
Journey Middle School
2026-27 School Year
11 months (220 days)/year
The Mathematics Improvement and Data Analysis Lead is a school-based role designed to strengthen mathematics achievement through disciplined data use, strong collaborative team routines, and coherent Tier 1 instructional improvement. The position partners with principals, leadership teams, and teachers in identified schools to improve the quality of mathematics planning, assessment, and instructional response to student learning evidence. The Mathematics Improvement and Data Analysis Lead will focus on building adult capacity and strengthening schoolwide systems for mathematics improvement. Core responsibilities include facilitating PLCs and data meetings, leading common assessment, and student work analysis routines, supporting 90-day action planning, monitoring follow-through, and helping school teams sustain effective improvement practices over time.
ESSENTIAL FUNCTIONS:
- Facilitates weekly mathematics PLCs, common assessment cycles, and data meetings using established division protocols and expectations;
- Leads teacher teams in analyzing student work, assessment results, and classroom evidence to identify trends, misconceptions, and priority instructional needs;
- Supports the development and refinement of common formative assessments, instructional materials, exit tickets, and progress-monitoring routines aligned to curriculum and state standards;
- Helps teachers and teams translate data into specific instructional responses, including re-teach plans, grouping strategies, scaffolds, and short-cycle action steps;
- Partners with principals and school leadership teams to develop, monitor, and revise mathematics improvement plans and 90-day action plans;
- Monitors the quality, consistency, and follow-through of school-based data-driven instruction routines;
- Delivers job-embedded coaching cycles (co-planning, modeling, observing, and debriefing) to strengthen Tier 1 instruction and accelerate learning;
- Provides job-embedded support to teachers around planning, use of student evidence, lesson adjustment, and implementation of agreed-upon instructional actions;
- Supports novice and developing teachers in establishing effective mathematics planning and data-use routines;
- Documents implementation of PLCs and data cycles, including agendas, action steps, evidence of follow-through, and indicators of impact;
- Builds the capacity of teacher teams and school leaders to independently lead effective mathematics data routines over time;
- Aligns school-based mathematics improvement efforts with division expectations, curriculum resources, and achievement goals;
- Communicates and collaborates with teachers, administrators, and other staff to ensure coherence of mathematics improvement efforts;
- Participates in regular cohort training and calibration facilitated by the Departments of Instruction, Strategic Planning, and Professional Learning to deepen skills in mathematics pedagogy, instructional coaching, and data-driven practice;
- Performs other duties as assigned.
KNOWLEDGE, SKILLS AND ABILITIES:
Strong knowledge of effective mathematics instruction and the key instructional shifts needed for improved student outcomes. Strong skill in facilitating adult learning, including PLCs, data conversations, collaborative planning, and team action planning. Ability to lead teams in analyzing student work and assessment evidence and moving from analysis to action. Ability to establish and maintain effective systems for common assessment, progress monitoring, and instructional follow-through. Skill in partnering with principals and leadership teams to strengthen schoolwide instructional improvement structures. Ability to support teachers in the use of evidence to adjust Tier 1 instruction. Knowledge of culturally responsive teaching practices and an asset-based approach to student learning. Strong communication, organization, and problem-solving skills. Ability to use technology and data platforms to support planning, monitoring, and team collaboration. Commitment to continuous improvement, collaboration, and high expectations for all students.
EDUCATION AND EXPERIENCE:
Valid Virginia teaching license and minimum 5 years teaching experience required. Master’s degree in Education is preferred. Math Specialist endorsement or demonstrated successful experience teaching mathematics, facilitating PLCs, leading collaborative team processes, or supporting school improvement efforts preferred.
Experience with structured data driven instruction practices and supporting adult professional learning preferred. Experience using student achievement data, common assessments, and progress-monitoring practices to improve instruction.
Job Requirements
- At least 5 year(s) of relevant experience preferred.
- Citizenship, residency or work visa required.
Contact Information
The content you submit, offer, contribute, attach, post, or display (each a “Submission”) will be viewed by other users of the service who may or may not be accurately representing who they are or who they represent. Do not include any sensitive data in your submissions. Any submission or any use or reliance on any content or materials posted via the service or obtained by you through the use of the service is at your own risk. “Sensitive data” for purposes of this section means social security or other government-issued identification numbers, medical or health information, account security information, individual financial account information, credit/debit/gift or other payment card information, account passwords, individual credit and income information or any other sensitive personal data as defined under applicable laws.
INTRODUCTION
In Albemarle County Public Schools, we work together as a team to end the predictive value of race, class, gender, and special capacities for our children’s success through high-quality teaching and learning for all. We seek to build relationships with families and communities to ensure that every student succeeds. We will know every student!
We are the first public school division in Virginia, and among the first in the country, to develop and implement an Anti-Racism policy with the expressed purpose of building school communities that share the responsibility to recognize and end racism, eliminate inequitable practices that result in achievement gaps, and support the unique gifts, talents, and interests of every child. In ACPS, “all” really means all.
ROLE AND RESPONSIBILITIES
Mathematics Improvement and Data Analysis Lead
Journey Middle School
2026-27 School Year
11 months (220 days)/year
The Mathematics Improvement and Data Analysis Lead is a school-based role designed to strengthen mathematics achievement through disciplined data use, strong collaborative team routines, and coherent Tier 1 instructional improvement. The position partners with principals, leadership teams, and teachers in identified schools to improve the quality of mathematics planning, assessment, and instructional response to student learning evidence. The Mathematics Improvement and Data Analysis Lead will focus on building adult capacity and strengthening schoolwide systems for mathematics improvement. Core responsibilities include facilitating PLCs and data meetings, leading common assessment, and student work analysis routines, supporting 90-day action planning, monitoring follow-through, and helping school teams sustain effective improvement practices over time.
ESSENTIAL FUNCTIONS:
- Facilitates weekly mathematics PLCs, common assessment cycles, and data meetings using established division protocols and expectations;
- Leads teacher teams in analyzing student work, assessment results, and classroom evidence to identify trends, misconceptions, and priority instructional needs;
- Supports the development and refinement of common formative assessments, instructional materials, exit tickets, and progress-monitoring routines aligned to curriculum and state standards;
- Helps teachers and teams translate data into specific instructional responses, including re-teach plans, grouping strategies, scaffolds, and short-cycle action steps;
- Partners with principals and school leadership teams to develop, monitor, and revise mathematics improvement plans and 90-day action plans;
- Monitors the quality, consistency, and follow-through of school-based data-driven instruction routines;
- Delivers job-embedded coaching cycles (co-planning, modeling, observing, and debriefing) to strengthen Tier 1 instruction and accelerate learning;
- Provides job-embedded support to teachers around planning, use of student evidence, lesson adjustment, and implementation of agreed-upon instructional actions;
- Supports novice and developing teachers in establishing effective mathematics planning and data-use routines;
- Documents implementation of PLCs and data cycles, including agendas, action steps, evidence of follow-through, and indicators of impact;
- Builds the capacity of teacher teams and school leaders to independently lead effective mathematics data routines over time;
- Aligns school-based mathematics improvement efforts with division expectations, curriculum resources, and achievement goals;
- Communicates and collaborates with teachers, administrators, and other staff to ensure coherence of mathematics improvement efforts;
- Participates in regular cohort training and calibration facilitated by the Departments of Instruction, Strategic Planning, and Professional Learning to deepen skills in mathematics pedagogy, instructional coaching, and data-driven practice;
- Performs other duties as assigned.
KNOWLEDGE, SKILLS AND ABILITIES:
Strong knowledge of effective mathematics instruction and the key instructional shifts needed for improved student outcomes. Strong skill in facilitating adult learning, including PLCs, data conversations, collaborative planning, and team action planning. Ability to lead teams in analyzing student work and assessment evidence and moving from analysis to action. Ability to establish and maintain effective systems for common assessment, progress monitoring, and instructional follow-through. Skill in partnering with principals and leadership teams to strengthen schoolwide instructional improvement structures. Ability to support teachers in the use of evidence to adjust Tier 1 instruction. Knowledge of culturally responsive teaching practices and an asset-based approach to student learning. Strong communication, organization, and problem-solving skills. Ability to use technology and data platforms to support planning, monitoring, and team collaboration. Commitment to continuous improvement, collaboration, and high expectations for all students.
EDUCATION AND EXPERIENCE:
Valid Virginia teaching license and minimum 5 years teaching experience required. Master’s degree in Education is preferred. Math Specialist endorsement or demonstrated successful experience teaching mathematics, facilitating PLCs, leading collaborative team processes, or supporting school improvement efforts preferred.
Experience with structured data driven instruction practices and supporting adult professional learning preferred. Experience using student achievement data, common assessments, and progress-monitoring practices to improve instruction.
Job Requirements
- At least 5 year(s) of relevant experience preferred.
- Citizenship, residency or work visa required.
Contact Information
The content you submit, offer, contribute, attach, post, or display (each a “Submission”) will be viewed by other users of the service who may or may not be accurately representing who they are or who they represent. Do not include any sensitive data in your submissions. Any submission or any use or reliance on any content or materials posted via the service or obtained by you through the use of the service is at your own risk. “Sensitive data” for purposes of this section means social security or other government-issued identification numbers, medical or health information, account security information, individual financial account information, credit/debit/gift or other payment card information, account passwords, individual credit and income information or any other sensitive personal data as defined under applicable laws.
See all 432+ Data Analyst Lead jobs
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Get Access To All JobsTips for Finding Data Analyst Lead Jobs
Confirm your degree field matches the role
Data Analyst Lead positions typically require a degree in statistics, computer science, mathematics, or a related quantitative field. A general business degree may not satisfy the specialty occupation standard, so verify alignment before applying.
Target employers with active LCA filings
Companies that have filed Labor Condition Applications for data analyst roles in the past are far more likely to sponsor again. Employers with established immigration infrastructure process petitions faster and understand the requirements better.
Emphasize team leadership in your application
The lead designation matters for visa purposes. Demonstrating that you manage analysts, own methodology decisions, or report to senior data leadership strengthens the specialty occupation argument and justifies the seniority level in your petition.
Ask about H-1B cap-exempt employers
Universities, nonprofit research institutions, and certain government-affiliated organizations are exempt from the H-1B lottery. Data Analyst Lead roles at these employers can be filed at any time of year without waiting for April registration.
Clarify sponsorship willingness before final rounds
Many employers are willing to sponsor but do not advertise it. Raising the question professionally during the offer stage, after demonstrating strong fit, avoids late-stage surprises and gives HR time to engage their immigration counsel.
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Find Data Analyst Lead JobsFrequently Asked Questions
Does a Data Analyst Lead role qualify as a specialty occupation for H-1B purposes?
Yes, in most cases. USCIS generally accepts data analyst positions as specialty occupations when the employer requires a bachelor's degree or higher in a specific field such as statistics, computer science, or applied mathematics. The lead designation helps by signaling that the role requires advanced, specialized judgment rather than general analytical work. Employers should document the degree requirement explicitly in the job description.
Can I get sponsored for a Data Analyst Lead role if my degree is not in data science or statistics?
It depends on the degree field and how closely it relates to the role. Degrees in economics, engineering, or information systems have been accepted when the employer can show a direct connection to the work performed. A general business or liberal arts degree is harder to support. If your degree doesn't align cleanly, three years of progressive experience can substitute for one year of education under USCIS equivalency rules.
Which visa types are most common for Data Analyst Lead sponsorship?
H-1B is the most common path for employer-sponsored Data Analyst Lead roles, though it requires winning the annual lottery for most applicants. Australians may qualify for the E-3, which has no lottery and can be filed year-round. Candidates with a master's degree and national importance arguments can self-petition under EB-2 NIW. Those with documented recognition in the field may qualify for O-1A. Browse current openings on Migrate Mate to see which visa types sponsoring employers support.
How strong are H-1B approval rates for Data Analyst Lead positions?
Approval rates for data analyst specialty occupation petitions have historically been strong, though USCIS has issued Requests for Evidence when employers use broad job titles or fail to document the specific degree requirement. Petitions filed by large tech, finance, and healthcare employers with established immigration programs tend to have the fewest complications. Including detailed position descriptions and internal job level documentation reduces RFE risk significantly.
Do Data Analyst Lead roles qualify for EB-2 National Interest Waiver petitions?
They can, but the bar is meaningful. NIW requires showing that your work has national or substantial intrinsic merit, that it benefits the U.S. broadly, and that waiving the employer requirement serves the national interest. Data analysts working on public health datasets, economic research, or critical infrastructure have stronger NIW arguments than those in purely commercial roles. The lead seniority and any published research, proprietary models, or policy contributions significantly improve the case.
What is the prevailing wage requirement for sponsored Data Analyst Lead jobs?
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.
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