Data Analytics Lead Jobs in USA with Visa Sponsorship
Data Analytics Lead roles attract strong H-1B visa and O-1 visa sponsorship from U.S. employers, particularly in tech, finance, and healthcare. Most positions qualify as specialty occupations requiring a bachelor's degree in statistics, computer science, or a related quantitative field. For detailed occupation requirements, see the O*NET profile.
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Get Access To All JobsAlbemarle County Public Schools
Woodbrook Elementary School - Charlottesville, Virginia
Job Details
Job ID: 5682918
Application Deadline: Posted until filled
Posted: Today
Starting Date: Aug 3, 2026
Job Description
Mathematics Improvement and Data Analysis Lead
Woodbrook Elementary School
2026-27 School Year
11 months (220 days)/year
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.
GENERAL DEFINITION OF WORK:
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.
Position Type: Full-Time
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.
Albemarle County Public Schools
Woodbrook Elementary School - Charlottesville, Virginia
Job Details
Job ID: 5682918
Application Deadline: Posted until filled
Posted: Today
Starting Date: Aug 3, 2026
Job Description
Mathematics Improvement and Data Analysis Lead
Woodbrook Elementary School
2026-27 School Year
11 months (220 days)/year
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.
GENERAL DEFINITION OF WORK:
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.
Position Type: Full-Time
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 1,067+ Data Analytics Lead jobs
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Get Access To All JobsTips for Finding Data Analytics Lead Jobs
Target employers with H-1B sponsorship history
Companies that have filed H-1B petitions for analytics roles before are far more likely to sponsor again. Look for employers in tech, consulting, and financial services, where data leadership roles are well-established and sponsorship processes are already in place.
Emphasize your specialty occupation credentials
USCIS scrutinizes analytics roles for specialty occupation status. A graduate degree in statistics, data science, or computer science strengthens your petition significantly. Document how your role requires that specific field of study, not just any bachelor's degree.
Highlight leadership scope in your resume
Lead-level titles carry more weight with USCIS than individual contributor roles. Clearly quantify team size managed, cross-functional influence, and strategic deliverables. This directly supports the complexity argument that strengthens H-1B specialty occupation approval.
Prepare for prevailing wage scrutiny
The Department of Labor classifies analytics lead roles at higher wage levels. Your employer's LCA must reflect a wage at or above the prevailing rate for your location and level. Misclassification at a lower level is a common RFE trigger worth addressing early.
Consider the O-1A if you have strong career achievements
Data Analytics Leads with published research, speaking engagements, industry awards, or evidence of high salary relative to peers may qualify for the O-1A. It bypasses the H-1B lottery entirely and is worth evaluating if your credentials are genuinely exceptional.
Start the conversation with employers before the offer stage
Many hiring managers assume sponsorship is more burdensome than it is for senior analytics roles. Framing it early as a straightforward process for a specialized position reduces hesitation and prevents sponsorship from becoming a last-minute deal-breaker in negotiations.
Frequently Asked Questions
Does a Data Analytics Lead role qualify for H-1B sponsorship?
Yes, in most cases. Data Analytics Lead positions typically qualify as specialty occupations because they require at minimum a bachelor's degree in a specific field such as statistics, data science, mathematics, or computer science. USCIS looks at whether the role normally requires a degree in a particular discipline, not just any degree, so job descriptions that specify a quantitative field generally hold up well under scrutiny.
What degree do I need for an employer to sponsor my H-1B as a Data Analytics Lead?
A bachelor's degree in statistics, data science, computer science, mathematics, or a closely related quantitative field is the baseline. A master's degree strengthens the petition considerably and reduces the risk of an RFE challenging specialty occupation status. If your undergraduate degree is in a different field, relevant graduate coursework or a combination of education and experience may bridge the gap, though this requires more documentation.
How likely is H-1B approval for Data Analytics Lead roles?
Approval rates for analytics and data science roles are generally strong when the job description clearly establishes specialty occupation requirements. The main risk factors are vague job duties that could apply to any degree holder, or wage levels that appear inconsistent with a senior role. Employers with experienced immigration counsel and clean LCA filings see fewer RFEs. The H-1B lottery remains the primary obstacle, not approval itself, with a selection rate of roughly 25% in recent registration cycles.
Do employers commonly sponsor Data Analytics Lead roles, and how do I find them?
Yes, sponsorship is common at this level, especially in technology, financial services, consulting, and healthcare analytics. Lead and manager-level roles are generally easier to sponsor than entry-level positions because employers are more motivated to retain senior talent. Migrate Mate lists Data Analytics Lead roles specifically filtered for visa sponsorship, so you can browse active opportunities without filtering out employers who don't sponsor.
Can I transfer my H-1B to a new employer for a Data Analytics Lead role mid-visa period?
Yes. H-1B portability allows you to start working for a new employer as soon as the transfer petition is filed, without waiting for approval, provided you've been maintaining valid H-1B status. The new employer files a fresh I-129 with an updated LCA reflecting the new role and location. If your title or duties change significantly, the new petition must independently satisfy specialty occupation requirements for the Data Analytics Lead position.
What is the prevailing wage requirement for sponsored Data Analytics 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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