OPT Data Analyst Lead Jobs
Data Analyst Lead roles on OPT require employers who can sponsor H-1B visa, as most positions involve leading analytics teams and fall squarely within specialty occupation criteria. Your 12-month OPT period (29 months with STEM extension) gives you time to prove your value before the H-1B lottery.
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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 58+ OPT Data Analyst Lead Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new OPT Data Analyst Lead Jobs.
Get Access To All JobsTips for Finding OPT Sponsorship in Data Analyst Lead
Target companies with active H-1B filing history
Focus on employers who have sponsored H-1B visas for data roles in the past. Companies with a track record of sponsoring analysts are far more likely to continue doing so than those filing for the first time.
Apply for the STEM OPT extension before your standard OPT expires
If your degree is in a STEM field like statistics, computer science, or data science, file for the 24-month extension at least 90 days before your OPT end date. This gives you two additional H-1B lottery cycles.
Lead with business impact, not just technical skills
Data Analyst Lead candidates who quantify outcomes, revenue influenced, cost savings identified, team productivity improved, are more likely to secure sponsorship offers. Employers need to justify visa costs with demonstrable business value from your work.
Clarify the specialty occupation case early in hiring conversations
Data Analyst Lead roles typically require a bachelor's degree in a quantitative field, which satisfies H-1B specialty occupation requirements. Confirm the employer understands this before investing time in multi-round interviews with sponsorship-reluctant companies.
Prioritize companies already familiar with OPT and STEM extension timelines
Some employers confuse OPT with full work authorization. Seek out HR teams at mid-to-large companies that already have processes for onboarding international employees, as these companies handle OPT employment authorization paperwork without hesitation.
Use your lead-level title to negotiate sponsorship commitment upfront
A lead title signals seniority and is harder to replace than an individual contributor role. Use that leverage to raise H-1B sponsorship early in offer negotiations, framing it as a straightforward retention investment rather than an exceptional ask.
Data Analyst Lead OPT: Frequently Asked Questions
Does a Data Analyst Lead role qualify as a specialty occupation for H-1B sponsorship?
Yes. Data Analyst Lead positions almost always qualify because they require at least a bachelor's degree in a specific field such as statistics, computer science, mathematics, or data science. USCIS considers the requirement for field-specific theoretical knowledge a strong indicator of specialty occupation status, which is the foundation of any H-1B petition your employer files.
How long can I work as a Data Analyst Lead on OPT before needing H-1B sponsorship?
If your degree is in a STEM field, you have up to 36 months total: 12 months of standard OPT plus a 24-month STEM extension. That covers three H-1B lottery cycles starting April 1 each year, with employment beginning October 1 if selected. Non-STEM graduates have 12 months only, covering one lottery cycle.
Where can I find Data Analyst Lead jobs that offer OPT and H-1B sponsorship?
Migrate Mate is built specifically for F-1 OPT students and filters for employers open to sponsoring work visas. Browsing Data Analyst Lead roles on Migrate Mate lets you focus your search on companies already familiar with OPT employment authorization rather than spending hours screening employers who will decline to sponsor.
Can I change employers as a Data Analyst Lead during my OPT period?
Yes, but each job change requires you to update your employment record with your DSO within 10 days using the SEVP portal. Your new role must also be directly related to your degree field and must be at least 20 hours per week to count as valid OPT employment. Gaps longer than 90 days in cumulative unemployment can jeopardize your OPT status.
Will my employer's size affect their willingness to sponsor H-1B for a Data Analyst Lead role?
Company size matters in practice more than legally. Large employers with dedicated HR and legal teams typically have established H-1B processes and absorb the filing costs without hesitation. Startups and small companies may be willing but less equipped to manage the process. Mid-sized companies with existing international employees often represent the best balance of sponsorship willingness and organizational stability.