OPT Search Analyst Jobs
Search Analyst roles involve keyword research, paid search campaign management, and performance reporting, skills that translate directly into high OPT demand from digital marketing agencies and in-house teams. Most positions qualify as specialty occupations under F-1 OPT, and STEM OPT extension is available if your degree is in computer science, statistics, or a related quantitative field.
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Get Access To All JobsLocation: 8901 - Corp Office West Crk - 12800 Tuckahoe Creek Parkway, Richmond, Virginia, 23238
About The Team
The Personalization data science team builds and maintains search algorithms and recommender systems that are at the forefront of creating a modern, engaging, digital shopping experience for our customers. We see millions of customers every week across web and mobile. We deploy custom deep learning embedding models, ranking and segmentation algorithms, and are constantly testing new approaches. Our systems are used in dozens of product use cases across the retail and wholesale businesses, which means we partner with many diverse teams throughout the organization.
About The Role
Understanding our business - the used vehicle market, our customers, and our digital products - is at the heart of what we do on this team. Our data is massive, rich, and often challenging to work with. In this role you will develop deep expertise about our business through data: via ad-hoc analysis, supporting ML model development and management, and especially through the design and execution of rigorous statistical tests that help us understand what's actually working and what’s not. You'll be embedded with data scientists and ML engineers, which means you'll see how models are built, not just how they perform. You'll help shape what we test, how we measure success, and what we learn. If you love data, get excited about the mechanics of search and recommendations, and want to see your analysis directly influence product decisions, this role is for you.
What You Will Do – Essential Responsibilities
- Analyze large-scale behavioral data (search queries, click-through rates, purchase patterns, inventory turnover) to surface insights about customer preferences and system performance
- Design, execute, and interpret statistical tests (A/B tests, holdout experiments, pre/post analyses) to measure the impact of algorithm changes and new features
- Partner with data scientists on model development, validation, and ongoing monitoring - acting as a bridge between model performance metrics and business outcomes
- Translate complex findings into clear narratives for technical and non-technical stakeholders alike
- Develop and maintain dashboards and reporting that help the team and partners track key metrics over time
- Partner closely with cross functional teams in Product, Strategy, Technology, and Operations
Qualifications And Requirements
- 3+ years of experience in an analytical role, preferably in e-commerce, marketplace, or another data-rich environment
- Strong SQL skills and experience with Python (e.g. pandas, matplotlib) for data manipulation and analysis
- Solid foundation in statistics, including hypothesis testing, confidence intervals, and experimental design - you should be comfortable explaining why a test result is or isn't significant
- Experience working with large datasets using tools like Spark, Databricks, or similar is preferred
- Ability to build and maintain reports in BI tools (Tableau, PowerBI, Looker, etc.), or interest in learning
- Clear communication skills - you can explain a complex analysis to a product manager or executive without losing them
- Genuine enthusiasm for how search and recommendation systems work, even if you haven't built them yourself
- Bachelor's degree in a quantitative field (statistics, economics, math, engineering, or similar)
Upon an applicant's request, CarMax will consider reasonable accommodation to complete the CarMax Job Application.
Location: 8901 - Corp Office West Crk - 12800 Tuckahoe Creek Parkway, Richmond, Virginia, 23238
About The Team
The Personalization data science team builds and maintains search algorithms and recommender systems that are at the forefront of creating a modern, engaging, digital shopping experience for our customers. We see millions of customers every week across web and mobile. We deploy custom deep learning embedding models, ranking and segmentation algorithms, and are constantly testing new approaches. Our systems are used in dozens of product use cases across the retail and wholesale businesses, which means we partner with many diverse teams throughout the organization.
About The Role
Understanding our business - the used vehicle market, our customers, and our digital products - is at the heart of what we do on this team. Our data is massive, rich, and often challenging to work with. In this role you will develop deep expertise about our business through data: via ad-hoc analysis, supporting ML model development and management, and especially through the design and execution of rigorous statistical tests that help us understand what's actually working and what’s not. You'll be embedded with data scientists and ML engineers, which means you'll see how models are built, not just how they perform. You'll help shape what we test, how we measure success, and what we learn. If you love data, get excited about the mechanics of search and recommendations, and want to see your analysis directly influence product decisions, this role is for you.
What You Will Do – Essential Responsibilities
- Analyze large-scale behavioral data (search queries, click-through rates, purchase patterns, inventory turnover) to surface insights about customer preferences and system performance
- Design, execute, and interpret statistical tests (A/B tests, holdout experiments, pre/post analyses) to measure the impact of algorithm changes and new features
- Partner with data scientists on model development, validation, and ongoing monitoring - acting as a bridge between model performance metrics and business outcomes
- Translate complex findings into clear narratives for technical and non-technical stakeholders alike
- Develop and maintain dashboards and reporting that help the team and partners track key metrics over time
- Partner closely with cross functional teams in Product, Strategy, Technology, and Operations
Qualifications And Requirements
- 3+ years of experience in an analytical role, preferably in e-commerce, marketplace, or another data-rich environment
- Strong SQL skills and experience with Python (e.g. pandas, matplotlib) for data manipulation and analysis
- Solid foundation in statistics, including hypothesis testing, confidence intervals, and experimental design - you should be comfortable explaining why a test result is or isn't significant
- Experience working with large datasets using tools like Spark, Databricks, or similar is preferred
- Ability to build and maintain reports in BI tools (Tableau, PowerBI, Looker, etc.), or interest in learning
- Clear communication skills - you can explain a complex analysis to a product manager or executive without losing them
- Genuine enthusiasm for how search and recommendation systems work, even if you haven't built them yourself
- Bachelor's degree in a quantitative field (statistics, economics, math, engineering, or similar)
Upon an applicant's request, CarMax will consider reasonable accommodation to complete the CarMax Job Application.
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Get Access To All JobsTips for Finding OPT Sponsorship as a Search Analyst
Confirm your degree supports STEM OPT
If your degree is in information systems, statistics, computer science, or marketing analytics, you may qualify for the 24-month STEM OPT extension. Confirm your CIP code with your DSO before applying, since employers weight STEM-eligible candidates more favorably.
Highlight quantitative skills in your resume
Search Analyst roles are data-heavy. Feature proficiency in tools like Google Analytics, A/B testing frameworks, and SQL prominently. Employers sponsoring OPT want candidates who can contribute immediately, so concrete metrics from past campaigns strengthen your application significantly.
Target agencies alongside in-house teams
Digital marketing agencies hire Search Analysts in volume and are often more experienced with OPT paperwork than smaller in-house teams. Agencies at mid-market size frequently have established DSP and SEM workflows that fit OPT roles cleanly.
Start your OPT application 90 days before your end date
USCIS recommends applying for OPT authorization up to 90 days before your program end date. Processing takes three to five months, so late applications risk gaps in work authorization that can disrupt an active job search or existing offer timelines.
Prepare to explain OPT clearly to hiring managers
Many hiring managers at smaller employers are unfamiliar with OPT. Keep a one-paragraph explanation ready that covers your authorized work period, your employer's reporting requirements, and STEM extension eligibility. Removing confusion early keeps the process moving.
Focus applications on employers with prior OPT or H-1B history
Employers who have previously hired OPT workers or filed H-1B visa petitions already understand the compliance requirements. Prioritizing these companies shortens the internal approval process and significantly improves your odds of receiving and converting an offer.
Search Analyst OPT: Frequently Asked Questions
Does a Search Analyst role qualify as a specialty occupation under OPT?
Yes, in most cases. Search Analyst positions typically require a bachelor's degree or higher in marketing, information systems, statistics, or a related field, which meets the specialty occupation standard. Roles focused on paid search, SEO analytics, or performance reporting consistently qualify. Roles that are purely operational with no degree requirement attached may not.
Am I eligible for the STEM OPT extension as a Search Analyst?
It depends on your degree's CIP code, not the job title itself. If your degree is in computer science, information systems, statistics, or applied mathematics, you likely qualify for the 24-month STEM OPT extension. A marketing or communications degree typically does not qualify. Confirm your CIP code with your DSO and verify that your employer can meet E-Verify and training plan requirements before counting on the extension.
How do I find Search Analyst jobs that are open to OPT candidates?
Migrate Mate is built specifically for F-1 OPT students and filters for employers with a demonstrated history of work authorization sponsorship. Searching there surfaces Search Analyst openings where employers are already familiar with OPT requirements, which reduces the friction of explaining your status from scratch during the interview process.
What should I do if a Search Analyst employer says they don't sponsor visas?
OPT is not employer-sponsored in the traditional sense. You already hold work authorization issued by USCIS through your school. The employer does not file a petition or pay a government fee for OPT. Clarifying this distinction often resolves the objection. If the employer still declines after understanding OPT, prioritize companies that have previously hired international students.
Can I work as a Search Analyst on a freelance or contract basis during OPT?
Yes, OPT allows self-employment and contract work, but each engagement must be directly related to your field of study. You must also work a minimum of 20 hours per week in aggregate across all positions to maintain valid OPT status. Keep documentation for each contract showing job duties, hours, and the connection to your degree program in case your DSO requests it.