H-1B Visa Data Analytics Lead Jobs
Data Analytics Lead roles sit squarely within H-1B specialty occupation requirements, demanding a bachelor's degree or higher in statistics, computer science, or a related quantitative field. Employers across tech, finance, and healthcare regularly sponsor H-1B petitions for this title, and the role's management component can strengthen your prevailing wage tier classification under DOL guidelines.
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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
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Get Access To All JobsTips for Finding H-1B Visa Sponsorship in Data Analytics Lead
Align your degree to the role
USCIS scrutinizes specialty occupation claims when a degree field doesn't directly map to the job. A Data Analytics Lead petition is strongest when your degree is in statistics, data science, computer science, or mathematics rather than a general business field.
Check prevailing wage tier before negotiating
Run the OFLC Wage Search for your SOC code and work location before your offer conversation. Lead-level roles typically fall in Level III or IV, and your offered salary must meet that tier or your employer's LCA won't certify.
Target employers with LCA filing history
Use Migrate Mate to filter for employers who have filed LCAs for analytics or data science roles. Past LCA filings signal an HR process that already understands H-1B requirements, reducing the risk of delays caused by employer inexperience.
Request premium processing if your OPT end date is near
If you're transitioning off OPT or STEM OPT, ask your employer to file with USCIS premium processing. Standard processing can exceed four months, and a cap-gap bridge only protects you if the petition is filed before your EAD expires.
Document your team leadership scope in writing
A lead title that lacks documented supervisory duties can draw an RFE questioning specialty occupation. Before filing, ask your employer to detail in the support letter the number of direct reports, technical decision-making authority, and cross-functional scope of your role.
Verify your employer is E-Verify enrolled if you're on STEM OPT
STEM OPT requires your employer to be enrolled in E-Verify before your extension is approved. Confirm enrollment early in the offer process, not after signing, since onboarding to E-Verify can take several weeks on the employer's end.
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Find Data Analytics Lead JobsData Analytics Lead H-1B Visa: Frequently Asked Questions
Does a Data Analytics Lead role qualify as an H-1B specialty occupation?
Yes, provided the position requires a bachelor's degree or higher in a directly related field such as statistics, data science, computer science, or mathematics. The lead or management component doesn't disqualify the role, but USCIS will look for evidence that the theoretical and technical knowledge of a specific discipline is genuinely required to perform the job, not just preferred.
How do I find employers who actively sponsor H-1B visas for data analytics roles?
Migrate Mate surfaces employers with verified LCA filing history filtered by occupation, so you can see which companies have sponsored data analytics or related roles before. This is more reliable than assuming any large company sponsors, since H-1B filing patterns vary significantly even within the same industry or company size category.
Can my employer file my H-1B petition at a senior or lead wage tier?
Yes. DOL prevailing wage levels run from Level I through Level IV, and a lead role with supervisory or mentorship responsibilities typically maps to Level III or IV. Your employer's LCA must certify a salary at or above the prevailing wage for the specific SOC code, geographic area, and wage level that matches your actual duties. Use the OFLC Wage Search to verify which tier applies before finalizing your offer.
What happens to my H-1B status if I get promoted to Data Analytics Lead mid-petition?
A material change in job duties, title, or work location requires your employer to file an amended H-1B petition with USCIS before the change takes effect. Moving from an individual contributor role to a lead position with new supervisory scope and a higher wage tier typically qualifies as a material change, so the amended filing isn't optional.
Does the O*NET classification for data analytics roles affect my H-1B petition?
It can. Attorneys and USCIS adjudicators reference O*NET to assess whether a role is sufficiently specialized to meet specialty occupation standards. The O*NET profile for data analytics occupations lists a Job Zone 4 or 5 classification, indicating that a bachelor's degree in a specific field is standard, which supports the specialty occupation argument in your petition.
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