STEM OPT Marketing Data Analyst Jobs
Marketing Data Analyst roles sit squarely within STEM OPT eligibility, drawing on degrees in statistics, computer science, and data science. Your 24-month STEM OPT extension applies here, giving you up to 36 months total, as long as your employer is enrolled in E-Verify and your training plan meets ICE requirements.
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Get Access To All Jobs3-4-day minimum on-site attendance expected in New York, NY office.
LG Ad Solutions is a global leader in connected TV (CTV) and cross-screen advertising. We pride ourselves on delivering state-of-the-art advertising solutions that integrate seamlessly with today's ever-evolving digital media landscape.
Job Description:
We are building a Data Analytics and Operations team within Research to strengthen ownership of our analytics outputs and the readiness of our core data assets. This role focuses on ensuring that data is trustworthy, usable, and effectively translated into business- and client-ready insights.
You will work in ambiguous problem spaces, define standards where none exist, and take responsibility for turning complex data into reliable, consumable outputs. You will be comfortable navigating unknowns, following problems across systems, and adapting approaches as you learn more.
Responsibilities:
- Work directly with large and complex datasets to investigate data behavior, quality, and downstream impact
- Able to understand and follow analytics outputs, including acceptance criteria, documentation for consumption
- Communicate findings, risks, and recommendations clearly to both technical and non-technical audiences
- Help the team maintain workflows that support analytics delivery, including automation and AI-assisted tooling where appropriate
- Partner closely with engineering, research, and product teams to surface issues and communicate resolutions
- Identify gaps in data reliability or usability and take initiative to close them
- Contribute to the development of an analytics discipline that prioritizes ownership, clarity, and impact over process overhead
- Automate at scale – Replace manual, repetitive data processes with reliable, fast, and transparent workflows
- Focuses on accuracy, clarity, and reliability of outputs
- Executes well-defined analyses and investigations with guidance
Qualifications
- Strong analytical and problem-solving skills with the ability to navigate ambiguity
- 2+ years working experiences in SQL or Python, with comfort working directly with raw and intermediate datasets
- Solid understanding of how data systems support business decisions and products
- Strong sense of ownership and accountability for outcomes
- You automate with purpose – You’ve applied automation and AI frameworks to business problems and deployed solutions that meaningfully improved accuracy, efficiency, and productivity
- Ability to pivot approaches as new information emerges and unknowns are uncovered
- Clear written and verbal communication skills
- Bonus: Experience in ad tech, media, or data products
LG Ad Solutions provides equal work opportunities to all team members and applicants, and it prohibits discrimination and harassment of any type on the basis of race, color, ethnicity, caste, religion, age, sex (including pregnancy), national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by our policies or federal, state, or local laws.
We want to ensure that our hiring process is accessible. If you need reasonable accommodation for any part of the application process because of a medical condition or disability, please send an email to careers@lgads.tv to let us know the nature of your request.
3-4-day minimum on-site attendance expected in New York, NY office.
LG Ad Solutions is a global leader in connected TV (CTV) and cross-screen advertising. We pride ourselves on delivering state-of-the-art advertising solutions that integrate seamlessly with today's ever-evolving digital media landscape.
Job Description:
We are building a Data Analytics and Operations team within Research to strengthen ownership of our analytics outputs and the readiness of our core data assets. This role focuses on ensuring that data is trustworthy, usable, and effectively translated into business- and client-ready insights.
You will work in ambiguous problem spaces, define standards where none exist, and take responsibility for turning complex data into reliable, consumable outputs. You will be comfortable navigating unknowns, following problems across systems, and adapting approaches as you learn more.
Responsibilities:
- Work directly with large and complex datasets to investigate data behavior, quality, and downstream impact
- Able to understand and follow analytics outputs, including acceptance criteria, documentation for consumption
- Communicate findings, risks, and recommendations clearly to both technical and non-technical audiences
- Help the team maintain workflows that support analytics delivery, including automation and AI-assisted tooling where appropriate
- Partner closely with engineering, research, and product teams to surface issues and communicate resolutions
- Identify gaps in data reliability or usability and take initiative to close them
- Contribute to the development of an analytics discipline that prioritizes ownership, clarity, and impact over process overhead
- Automate at scale – Replace manual, repetitive data processes with reliable, fast, and transparent workflows
- Focuses on accuracy, clarity, and reliability of outputs
- Executes well-defined analyses and investigations with guidance
Qualifications
- Strong analytical and problem-solving skills with the ability to navigate ambiguity
- 2+ years working experiences in SQL or Python, with comfort working directly with raw and intermediate datasets
- Solid understanding of how data systems support business decisions and products
- Strong sense of ownership and accountability for outcomes
- You automate with purpose – You’ve applied automation and AI frameworks to business problems and deployed solutions that meaningfully improved accuracy, efficiency, and productivity
- Ability to pivot approaches as new information emerges and unknowns are uncovered
- Clear written and verbal communication skills
- Bonus: Experience in ad tech, media, or data products
LG Ad Solutions provides equal work opportunities to all team members and applicants, and it prohibits discrimination and harassment of any type on the basis of race, color, ethnicity, caste, religion, age, sex (including pregnancy), national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by our policies or federal, state, or local laws.
We want to ensure that our hiring process is accessible. If you need reasonable accommodation for any part of the application process because of a medical condition or disability, please send an email to careers@lgads.tv to let us know the nature of your request.
See all 43+ STEM OPT Marketing Data Analyst Jobs
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Get Access To All JobsTips for Finding STEM OPT Authorization as a Marketing Data Analyst
Verify your CIP code before applying
Your STEM OPT extension depends on your degree's CIP code, not just the field name. Statistics (27.05), computer science (11.01), and data science (30.70) all qualify. Confirm your program's code with your DSO before targeting roles.
Check E-Verify enrollment before accepting offers
Only employers enrolled in E-Verify can hire you on STEM OPT. Search the E-Verify employer search tool by company name before interviews to avoid offers you can't legally accept.
Target employers with active LCA filings in analytics
Use Migrate Mate to filter Marketing Data Analyst roles by employers with verified E-Verify enrollment and DOL LCA filing history, so you're only spending time on companies already set up to hire STEM OPT students.
Build your I-983 training plan around measurable goals
Your I-983 must list specific learning objectives tied to your STEM degree, not just your daily tasks. Map SQL profiling, regression modeling, or attribution analysis to statistics or data science competencies your degree covered.
Negotiate your start date around STEM OPT filing windows
You can file for your STEM OPT extension up to 90 days before your initial OPT expires, but USCIS recommends filing earlier. Align your offer letter start date with your expected EAD receipt to avoid an unauthorized work gap.
Use O*NET to defend specialty occupation status
If a recruiter questions whether Marketing Data Analyst qualifies for STEM OPT, pull the O*NET occupation profile. It confirms the role requires applied mathematics and statistical analysis, directly linking it to STEM degree requirements.
Frequently Asked Questions
Does a Marketing Data Analyst role qualify for the STEM OPT extension?
Yes, if your degree is in a qualifying STEM field such as statistics, data science, computer science, or applied mathematics. The role itself must involve applying STEM knowledge directly, which marketing analytics work typically satisfies through statistical modeling, data pipeline management, and quantitative performance analysis. Your DSO confirms eligibility based on your program's CIP code, not just your job title.
What does my employer need to do to support my STEM OPT?
Your employer must be enrolled in E-Verify and sign the I-983 training plan with you. They designate a supervisor responsible for mentoring you in STEM-related skills and attest that the role provides practical training in your degree field. USCIS requires both you and your employer to report any material changes to the training plan within five business days of those changes occurring.
How do I find Marketing Data Analyst jobs where the employer is already E-Verify enrolled?
Migrate Mate filters job listings by employers with confirmed E-Verify enrollment, so you're not wasting applications on companies that can't legally hire STEM OPT students. Verifying enrollment upfront saves time and prevents the frustrating situation of receiving an offer you can't accept because the employer isn't set up for STEM OPT authorization.
What happens to my work authorization if my employer's H-1B petition is filed before my OPT expires?
If your employer files a timely H-1B visa cap-subject petition before your OPT expires, cap-gap provisions automatically extend your work authorization through September 30 of that fiscal year. Your EAD and STEM OPT status remain valid during this period. USCIS confirms cap-gap coverage, and your DSO updates your I-20 to reflect the extended authorization so you can continue working without interruption.
Can I work remotely as a Marketing Data Analyst on STEM OPT?
Yes, remote work is permitted under STEM OPT, but your employer's headquarters or the worksite address listed on your I-983 must still belong to an E-Verify enrolled entity. If you're working remotely from a state different from your employer's listed location, confirm with your DSO whether an updated training plan or I-20 amendment is needed to reflect your actual work location accurately.