STEM OPT Data Analyst Lead Jobs
Data Analyst Lead roles qualify for the 24-month STEM OPT extension when your degree falls under an eligible CIP code and your employer is enrolled in E-Verify. With 36 months of total OPT authorization, you have a realistic runway to build leadership experience in data analytics while pursuing long-term sponsorship.
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Get Access To All JobsINTRODUCTION
LMI is seeking a skilled Energy Data Analytics Lead focused on infrastructure, energy, and environment data and tools. Successful candidates demonstrate competency in data pipelining, data analysis, statistics, programming, project execution, tool development and optimization, and critical thinking paired with functional knowledge of infrastructure, energy, or environment data.
LMI is a new breed of digital solutions provider dedicated to accelerating government impact with innovation and speed. Investing in technology and prototypes ahead of need, LMI brings commercial-grade platforms and mission-ready AI to federal agencies at commercial speed.
Leveraging our mission-ready technology and solutions, proven expertise in federal deployment, and strategic relationships, we enhance outcomes for the government, efficiently and effectively. With a focus on agility and collaboration, LMI serves the defense, space, healthcare, and energy sectors—helping agencies navigate complexity and outpace change. Headquartered in Tysons, Virginia, LMI is committed to delivering impactful results that strengthen missions and drive lasting value.
Responsibilities
- Support a major civilian federal agency while leading data engineering initiatives across LMI as needed.
- Optimize and modernize data pipelines to improve performance, scalability, and long-term sustainability.
- Design and develop new data tools and solutions to support reporting, analytics, and business needs.
- Serve as the lead Data Architect, driving tool development, solution implementation, and innovation across the division.
- Apply functional knowledge of energy-related operations to inform architecture, analytics, and solution design.
BASIC QUALIFICATIONS
Required:
- Bachelor’s degree in data science, mathematics, statistics, economics, computer science, engineering, or a related business or quantitative discipline.
- Broad working familiarity with data analysis, automation, dashboards, databases, cloud data tools, APIs, and lightweight application or scripting approaches.
- Experience using technical tools such as Python, JavaScript, Google Apps Script, SQL, BI platforms, or cloud data services to improve reporting, analysis, or operational workflows.
- Working knowledge of data pipelines and data transformation concepts, including data ingestion, validation, reconciliation, refresh processes, and documentation.
- Ability to evaluate existing tools and workflows, identify technical risks or inefficiencies, and recommend practical improvements across multiple possible technological approaches.
- Ability to coordinate with analysts, developers, data engineers, and non-technical stakeholders to scope requirements, compare solution options, and support implementation.
- Ability to explain technical work in concrete terms, including the problem addressed, tools used, users served, tradeoffs considered, and maintenance approach.
PREFERRED QUALIFICATIONS
Desired:
- Federal consulting experience preferred.
- Experience with Google Workspace, especially Google Sheets and Google Apps Script.
- Experience with Google Cloud Platform, BigQuery, or comparable cloud database environments.
- Experience with BI or visualization tools such as Looker Studio, Tableau, Power BI, MicroStrategy, Qlik, or similar platforms.
- Familiarity with REST APIs, JSON, web technologies, ETL tools, or advanced analytics methods.
- Experience modernizing manual, spreadsheet-based, or legacy reporting workflows into more reliable and scalable processes.
- Experience working with federal energy or sustainability data processes.
COMPENSATION
- Target salary range: $83,367 - $144,404.55
Disclaimer:
The salary range displayed represents the typical salary range for this position and is not a guarantee of compensation. Individual salaries are determined by various factors including, but not limited to location, internal equity, business considerations, client contract requirements, and candidate qualifications, such as education, experience, skills, and security clearances.
INTRODUCTION
LMI is seeking a skilled Energy Data Analytics Lead focused on infrastructure, energy, and environment data and tools. Successful candidates demonstrate competency in data pipelining, data analysis, statistics, programming, project execution, tool development and optimization, and critical thinking paired with functional knowledge of infrastructure, energy, or environment data.
LMI is a new breed of digital solutions provider dedicated to accelerating government impact with innovation and speed. Investing in technology and prototypes ahead of need, LMI brings commercial-grade platforms and mission-ready AI to federal agencies at commercial speed.
Leveraging our mission-ready technology and solutions, proven expertise in federal deployment, and strategic relationships, we enhance outcomes for the government, efficiently and effectively. With a focus on agility and collaboration, LMI serves the defense, space, healthcare, and energy sectors—helping agencies navigate complexity and outpace change. Headquartered in Tysons, Virginia, LMI is committed to delivering impactful results that strengthen missions and drive lasting value.
Responsibilities
- Support a major civilian federal agency while leading data engineering initiatives across LMI as needed.
- Optimize and modernize data pipelines to improve performance, scalability, and long-term sustainability.
- Design and develop new data tools and solutions to support reporting, analytics, and business needs.
- Serve as the lead Data Architect, driving tool development, solution implementation, and innovation across the division.
- Apply functional knowledge of energy-related operations to inform architecture, analytics, and solution design.
BASIC QUALIFICATIONS
Required:
- Bachelor’s degree in data science, mathematics, statistics, economics, computer science, engineering, or a related business or quantitative discipline.
- Broad working familiarity with data analysis, automation, dashboards, databases, cloud data tools, APIs, and lightweight application or scripting approaches.
- Experience using technical tools such as Python, JavaScript, Google Apps Script, SQL, BI platforms, or cloud data services to improve reporting, analysis, or operational workflows.
- Working knowledge of data pipelines and data transformation concepts, including data ingestion, validation, reconciliation, refresh processes, and documentation.
- Ability to evaluate existing tools and workflows, identify technical risks or inefficiencies, and recommend practical improvements across multiple possible technological approaches.
- Ability to coordinate with analysts, developers, data engineers, and non-technical stakeholders to scope requirements, compare solution options, and support implementation.
- Ability to explain technical work in concrete terms, including the problem addressed, tools used, users served, tradeoffs considered, and maintenance approach.
PREFERRED QUALIFICATIONS
Desired:
- Federal consulting experience preferred.
- Experience with Google Workspace, especially Google Sheets and Google Apps Script.
- Experience with Google Cloud Platform, BigQuery, or comparable cloud database environments.
- Experience with BI or visualization tools such as Looker Studio, Tableau, Power BI, MicroStrategy, Qlik, or similar platforms.
- Familiarity with REST APIs, JSON, web technologies, ETL tools, or advanced analytics methods.
- Experience modernizing manual, spreadsheet-based, or legacy reporting workflows into more reliable and scalable processes.
- Experience working with federal energy or sustainability data processes.
COMPENSATION
- Target salary range: $83,367 - $144,404.55
Disclaimer:
The salary range displayed represents the typical salary range for this position and is not a guarantee of compensation. Individual salaries are determined by various factors including, but not limited to location, internal equity, business considerations, client contract requirements, and candidate qualifications, such as education, experience, skills, and security clearances.
See all STEM OPT Data Analyst Lead Jobs
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Get Access To All JobsTips for Finding STEM OPT Authorization in Data Analyst Lead
Verify your CIP code before applying
Check your degree's Classification of Instructional Programs code against the DHS STEM Designated Degree Program List. Statistics, computer science, and information systems degrees commonly qualify, but institutional coding varies, so confirm with your DSO before targeting STEM OPT roles.
Confirm E-Verify enrollment before accepting offers
Search the E-Verify employer database before signing any offer letter. A Data Analyst Lead role at a non-enrolled employer disqualifies you from the 24-month extension, regardless of how strong the offer is.
Build an I-983 training plan tied to leadership deliverables
Your I-983 must map STEM learning objectives to your actual job duties. For a lead role, document specific data strategy projects, mentorship responsibilities, and tools like SQL or Python pipelines as concrete training goals your supervisor can attest to.
Target employers with active H-1B LCA filings
Use the OFLC Wage Search to identify companies that have filed Labor Condition Applications for data analyst or business intelligence roles. Prior LCA activity signals an established sponsorship process, which matters when you're planning your transition before your 36 months expire.
Use Migrate Mate to filter for E-Verify employers hiring data leads
Search Migrate Mate for Data Analyst Lead openings filtered to E-Verify-enrolled employers. The platform surfaces DOL filing history by role, so you can prioritize companies that have already navigated analyst-level sponsorship rather than starting from scratch.
Negotiate a start date that preserves your cap-gap window
If your employer files an H-1B visa petition before your OPT expires, cap-gap extends your authorization through September 30. Time your offer acceptance and I-20 extension request so your STEM OPT end date doesn't fall between the petition receipt and the October 1 H-1B start date.
Frequently Asked Questions
Does a Data Analyst Lead role qualify for the STEM OPT extension?
Yes, if your degree is in an eligible STEM field listed on the DHS STEM Designated Degree Program List and your employer is enrolled in E-Verify. The role itself must also provide practical training related to your degree. Your DSO reviews these conditions when approving your I-20 endorsement for the 24-month extension.
Which STEM degrees support a Data Analyst Lead STEM OPT application?
Degrees in statistics, computer science, applied mathematics, information systems, and data science commonly qualify. The determining factor is your degree's CIP code, not just the degree title. Check your transcript and confirm the CIP code with your DSO against the official DHS list before you apply to roles requiring STEM OPT eligibility.
How do I verify that a Data Analyst Lead employer is enrolled in E-Verify?
Search the E-Verify employer database maintained by USCIS before accepting any offer. E-Verify enrollment is a hard requirement for STEM OPT authorization. If an employer isn't enrolled at the time of your extension request, you can't use that job to qualify, even if they enroll later. Migrate Mate flags E-Verify status for employers in its listings.
What should my I-983 training plan include for a lead-level data analytics role?
Your I-983 must document specific learning objectives tied to your STEM degree and your actual job duties. For a Data Analyst Lead, this typically includes quantitative modeling projects, cross-functional data strategy responsibilities, and tools or methodologies directly tied to your academic training. Both you and your supervisor sign the plan, and it must be updated every 12 months or whenever your role changes materially.
How does cap-gap protection apply if I'm on STEM OPT and receive an H-1B approval?
If your employer files an H-1B petition on your behalf before your STEM OPT expires, cap-gap automatically extends your work authorization through September 30 of that year. Your EAD remains valid during this period as long as the petition is timely filed and non-frivolous. USCIS issues an updated I-20 reflecting the cap-gap extension, which you carry alongside your existing EAD.