OPT Data Analytics Lead Jobs
Data Analytics Lead roles are among the most OPT-friendly positions in tech and finance, with strong employer demand for candidates who can own end-to-end analytics pipelines. Most roles qualify as specialty occupations under F-1 OPT, and STEM OPT extensions apply for graduates in statistics, computer science, and related fields.
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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 136+ OPT Data Analytics Lead Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new OPT Data Analytics Lead Jobs.
Get Access To All JobsTips for Finding OPT Sponsorship in Data Analytics Lead
Lead with your technical stack upfront
Hiring managers for analytics lead roles scan for SQL, Python, and BI tool proficiency immediately. List your core tools in your resume summary so recruiters can qualify you before reading further. Depth in one stack beats surface familiarity with many.
Frame your leadership with measurable outcomes
Analytics lead roles require evidence of team coordination and decision impact, not just technical output. Quantify how many analysts you mentored, what business decisions your dashboards influenced, and how your work reduced costs or improved retention.
Target employers with active STEM OPT sponsorship history
Focus your search on companies that have sponsored OPT extensions before. Firms with established immigration processes move faster and face fewer internal approval delays. Migrate Mate surfaces these employers so you can prioritize your applications strategically.
Clarify your OPT timeline early in the process
Data analytics lead searches often run eight to twelve weeks. Know your OPT start date and cap-out date before your first interview so you can answer timeline questions confidently. Ambiguity about your authorization window slows employer decisions.
Position yourself at the intersection of business and data
Employers hiring a lead want someone who translates analytical findings into executive decisions, not just someone who builds models. Highlight cross-functional projects where you presented insights to product, finance, or operations stakeholders in your cover letter and interviews.
Prepare for the specialty occupation question proactively
OPT roles must qualify as specialty occupations tied to your degree field. For analytics leads, align your job description language with your academic background in statistics, data science, or computer science. A clear degree-to-role connection prevents authorization complications.
Data Analytics Lead OPT: Frequently Asked Questions
Do Data Analytics Lead roles qualify for STEM OPT extension?
Yes, in most cases. Data Analytics Lead positions typically fall under CIP codes for computer science, mathematics, or statistics, all of which are on the STEM Designated Degree Program list. Your employer must be E-Verify enrolled to support the 24-month STEM OPT extension, so confirm that during the offer stage before accepting.
Can I work as a Data Analytics Lead on standard 12-month OPT before my STEM extension?
Yes. If your role is directly related to your degree field, you can work in a data analytics lead capacity during your initial 12-month OPT period. The role must qualify as practical training in your field of study. Document the connection between your job duties and your degree program in case your DSO or employer requests clarification.
How do I find Data Analytics Lead jobs where employers are open to OPT sponsorship?
Migrate Mate filters job listings specifically for OPT-friendly employers, so you can skip the guesswork of applying to companies that won't support your authorization. Analytics lead roles with active OPT sponsorship tend to appear in tech, healthcare data, fintech, and e-commerce. Searching by role type on Migrate Mate narrows results to employers already prepared to work with F-1 students.
What happens if my OPT expires while I'm in the middle of a Data Analytics Lead job search?
If your OPT expires before you secure a role, you lose work authorization and cannot legally continue employment. To avoid this, begin your search at least three months before your OPT end date. If you're eligible for a STEM extension, file the application at least 90 days before expiration and request a timely filing receipt from USCIS, which grants a 180-day automatic extension while the application is pending.
Is a Data Analytics Lead role considered a specialty occupation for H-1B purposes after OPT?
Generally yes, provided the role requires a bachelor's degree or higher in a specific technical field such as statistics, computer science, or information systems. Employers filing an H-1B visa petition for an analytics lead must demonstrate that the position routinely and normally requires that degree. A well-defined job description that links analytical responsibilities to a specific academic discipline strengthens the specialty occupation argument significantly.