STEM OPT Data Analytics Lead Jobs
Data Analytics Lead roles qualify for STEM OPT when your degree falls under an approved CIP code in statistics, computer science, or a related quantitative field. Your employer must be enrolled in E-Verify, and the 24-month extension gives you up to 36 months total to build leadership experience 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 73+ STEM OPT Data Analytics Lead Jobs
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Get Access To All JobsTips for Finding STEM OPT Authorization in Data Analytics Lead
Verify your CIP code before applying
Cross-reference your degree's Classification of Instructional Programs code against the DHS STEM OPT designated degree list. Analytics and data science degrees sometimes carry CIP codes that fall outside the approved list, which disqualifies the extension entirely.
Confirm E-Verify enrollment before negotiating offers
An employer can want to hire you and still be unable to sign your I-983 if they aren't enrolled in E-Verify. Check the E-Verify employer search tool before you reach the offer stage to avoid last-minute delays.
Build your I-983 training plan around measurable analytics goals
USCIS requires your training plan to connect your degree to specific on-the-job learning. For a Data Analytics Lead role, tie each learning objective to a technical skill like predictive modeling, data pipeline architecture, or stakeholder reporting, not just job duties.
Target employers with active LCA filings in analytics
Use the OFLC Wage Search to identify companies that have filed Labor Condition Applications for data and analytics roles. Employers with recent LCA activity in your occupation already understand sponsorship obligations and are more likely to extend H-1B visa sponsorship after your OPT period ends.
Use Migrate Mate to filter for E-Verify employers
Search Data Analytics Lead roles on Migrate Mate to surface employers already enrolled in E-Verify and screened for STEM OPT eligibility. This cuts the manual verification step and lets you focus your outreach on companies ready to onboard OPT students directly.
Negotiate your start date around the 90-day reporting window
STEM OPT requires your DSO to report your employer and start date to SEVIS within ten days of you beginning work. Align your offer letter start date with your DSO's processing timeline so your authorization is active before your first day.
Frequently Asked Questions
Does a Data Analytics Lead role qualify for the STEM OPT extension?
It depends on both your degree and the role's classification. Your degree must carry an approved CIP code on the DHS STEM designated degree list, typically in computer science, statistics, mathematics, or information systems. The Data Analytics Lead role itself must involve applying that STEM knowledge directly. O*NET can help you confirm the occupation's technical requirements align with your field of study.
What does my employer need to do before I can start on STEM OPT?
Your employer must be enrolled in E-Verify before you begin work. They also need to sign the I-983 training plan alongside your DSO, documenting how the Data Analytics Lead role connects to your STEM degree. Employers who have never hired an OPT student before sometimes underestimate the lead time for E-Verify enrollment, so confirm their status during the offer negotiation stage, not after you've accepted.
How does the I-983 training plan apply to a Data Analytics Lead position?
The I-983 requires your employer to outline specific learning objectives tied to your degree field. For a Data Analytics Lead role, that means documenting training in areas like advanced statistical modeling, data infrastructure management, or cross-functional analytics strategy. Generic job descriptions don't satisfy the requirement. Both you and a company official must sign the plan, and your DSO keeps a copy on file.
What happens to my STEM OPT authorization if my H-1B is selected in the lottery but not yet effective?
If your employer files an H-1B petition on your behalf before your OPT expires, cap-gap protection extends your work authorization through September 30 of that fiscal year. If your petition is selected and approved, your H-1B status takes effect October 1. USCIS issues updated I-20 documentation through your DSO to reflect the cap-gap extension period. You can continue working in your Data Analytics Lead role without interruption during this window.
Where can I find Data Analytics Lead jobs that are already set up for STEM OPT students?
Migrate Mate filters Data Analytics Lead roles by employers enrolled in E-Verify and screened for STEM OPT compatibility, so you're not manually cross-checking each company's enrollment status. This matters at the lead level because senior analytics roles sometimes sit inside subsidiaries or contracting firms with different E-Verify enrollment status than the parent brand you recognize.