Green Card Marketing Analytics Manager Jobs
Marketing Analytics Manager roles qualify for green card sponsorship under EB-2 for advanced-degree professionals and EB-3 for skilled candidates with a relevant bachelor's degree. Your employer files a PERM labor certification with the DOL before petitioning USCIS, making sponsorship a multi-step but permanent path to U.S. residency.
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Get Access To All JobsLocation:
4910 Tiedeman Road, Brooklyn Ohio
ABOUT THE JOB (JOB BRIEF)
The Quantitative Analytics Manager is primarily responsible for leading the development and validation of predictive and machine-learning models for specific business needs using statistics, advanced mathematical techniques, and/or computer science. The Quantitative Analytics Manager leverages advanced mathematical knowledge, analysis, partnerships, and business knowledge to provide solutions to predictive and prescriptive questions such as “What will happen next?” and “What will we do?”. Projects undertaken by the Senior Quantitative Analytics Associate are often broad in scope across multiple business segments and involve guiding a team and/or project through providing solutions to business problems leveraging statistics, best practices or emerging techniques, and quantitative tools / techniques. Success factors include: Demonstrating leadership through strong communication skills, addressing conflict, coaching others on developing technical skills; managing competing priorities and presenting holistic, thoughtful analyses to answer partners’ problem statements; prioritizing multiple projects and managing to tight deadlines; establishing reputation as an effective and collaborative partner; Communicating technical theories, observations, and models to a non-technical audience; Leveraging knowledge of strategy, business, and competition to connect day-to-day work of team to the “bigger picture” and driving efficiency in solution delivery.
ESSENTIAL JOB FUNCTIONS
- Create and leverage models, inferential statistics and prescriptive analysis to proactively solve business problems answering the questions “What will happen and what should we do about it?”
- Often responsible for large, complex problems that have broad implications and are less frequent
- Recommend solutions based on understanding of the context, connections, and conclusions
- Reviews deliverables; proactively coaches others on approach and work product
- Lead and evangelize on best practices of capturing and retaining data
- Coordinate with data stewards and anticipate needs process/procedures
- Make continuous improvements to data procedures, including data efficiency
- Recommend best analysis method for the situation
REQUIRED QUALIFICATIONS
Master’s degree (or its equivalent) in statistics, mathematics, economics, financial engineering, data sciences, predictive modeling, or other quantitative disciplines and at least 5 years of relevant experience; or Bachelor’s degree (or its equivalent) in statistics, mathematics, economics, financial engineering, data sciences, predictive modeling, or other quantitative disciplines and at least 6 years of relevant experience.
DATA LITERACY
Understanding of:
- Best practices for capturing / retaining data
- Pros / Cons of competing analysis methods
Experience leading by:
- Partnering with others to anticipate and understand needs process/procedures
- Leading information practices / policies / procedures
- Setting standards and expectations for data analysis tools and techniques; ensuring compliance with application
- Promoting increased efficiency of data analysis by advocating clearer data requirements
TECHNOLOGY & TECHNIQUES
- Advanced Microsoft Office Suite
- SQL/NoSQL
- Relationship data structure
- Selecting and retrieving data including unstructured data retrieval, archival, and ETL
- Databases
- Advanced Python/R/SAS:
- Databases
- Efficient coding
- Can build strong code controls and translate code into high-level commentary
- Understanding of and ability to leverage:
- Cloud-based computing
- Distributed computing
MODEL BUILDING & MAINTENANCE
Ability to:
- Establish standards and best practices; forecast future modeling tools / techniques
- Identify, employ, and evangelize emerging techniques from industry / research
- Coach others on data modeling methods / techniques
- Facilitate sessions for complex data models
- Assess and understand risks; contingency plans
- Communicate observations to senior executives
- Translate technical observations to a non-technical audience
EXPECTED COMPETENCIES
- Leadership: Demonstrated leadership; may have direct reports; Assumes accountability for their work; Sought out for advice; Proactively coaches and guides the work of others; Manages the integration of activities typically within own team; Demonstrates executive presence; Offers an opinion, contributes to the conversation
- Partnering / Influencing: Demonstrated ability to engage and partner at mid to senior leadership levels; Established reputation and track record as an effective and collaborative partner; Coaches and develops relationship building skills in others; Demonstrates managerial courage; willing to dissent from others; leverages organizational and professional savvy and persuasive skills to influence others
- Business Acumen: Understands LOB and KeyCorp strategy; Leverages knowledge of our competition and the business to anticipate needs and make recommendations; Understands how business works; Contributes materially to LOB strategy
- Critical Thinking / Problem Solving: Critical thinker: able to anticipate business partner needs; Sees the “bigger picture”; Advises leaders to make informed decisions based on keen critical thinking and problem-solving ability; Sought out for perspective and guidance with tackling challenges; Can make decisions; considers longer term business strategy in recommending solutions
- Communication: Excellent writing skills; develops writing skills in others; Recognizes the need to deliver the right message at the right time through the right channel; Articulates the broad implications / impact of the message; Anticipates and addresses conflict; Addresses challenging situations; does not shy away from a tough conversation; Strong presentation development; can coach and guide others to get to the appropriate level of detail and send an effective message; Comfortable presenting to senior levels, easily adapts / changes course, presents with confidence; Demonstrates executive presence
COMPENSATION AND BENEFITS
This position is eligible to earn a base salary in the range of $116,000.00 - $216,000.00 annually. Placement within the pay range may differ based upon various factors, including but not limited to skills, experience and geographic location. Compensation for this role also includes eligibility for incentive compensation which may include production, commission, and/or discretionary incentives. Please click here for a list of benefits for which this position is eligible.
Key has implemented an approach to employee workspaces which prioritizes in-office presence, while providing flexible options in circumstances where roles can be performed effectively in a mobile environment.
Job Posting Expiration Date: 08/30/2026
KeyCorp is an Equal Opportunity Employer committed to sustaining an inclusive culture. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, pregnancy, disability, veteran status or any other characteristic protected by law. Qualified individuals with disabilities or disabled veterans who are unable or limited in their ability to apply on this site may request reasonable accommodations by emailing HR_Compliance@keybank.com.
LI-Hybrid
Location:
4910 Tiedeman Road, Brooklyn Ohio
ABOUT THE JOB (JOB BRIEF)
The Quantitative Analytics Manager is primarily responsible for leading the development and validation of predictive and machine-learning models for specific business needs using statistics, advanced mathematical techniques, and/or computer science. The Quantitative Analytics Manager leverages advanced mathematical knowledge, analysis, partnerships, and business knowledge to provide solutions to predictive and prescriptive questions such as “What will happen next?” and “What will we do?”. Projects undertaken by the Senior Quantitative Analytics Associate are often broad in scope across multiple business segments and involve guiding a team and/or project through providing solutions to business problems leveraging statistics, best practices or emerging techniques, and quantitative tools / techniques. Success factors include: Demonstrating leadership through strong communication skills, addressing conflict, coaching others on developing technical skills; managing competing priorities and presenting holistic, thoughtful analyses to answer partners’ problem statements; prioritizing multiple projects and managing to tight deadlines; establishing reputation as an effective and collaborative partner; Communicating technical theories, observations, and models to a non-technical audience; Leveraging knowledge of strategy, business, and competition to connect day-to-day work of team to the “bigger picture” and driving efficiency in solution delivery.
ESSENTIAL JOB FUNCTIONS
- Create and leverage models, inferential statistics and prescriptive analysis to proactively solve business problems answering the questions “What will happen and what should we do about it?”
- Often responsible for large, complex problems that have broad implications and are less frequent
- Recommend solutions based on understanding of the context, connections, and conclusions
- Reviews deliverables; proactively coaches others on approach and work product
- Lead and evangelize on best practices of capturing and retaining data
- Coordinate with data stewards and anticipate needs process/procedures
- Make continuous improvements to data procedures, including data efficiency
- Recommend best analysis method for the situation
REQUIRED QUALIFICATIONS
Master’s degree (or its equivalent) in statistics, mathematics, economics, financial engineering, data sciences, predictive modeling, or other quantitative disciplines and at least 5 years of relevant experience; or Bachelor’s degree (or its equivalent) in statistics, mathematics, economics, financial engineering, data sciences, predictive modeling, or other quantitative disciplines and at least 6 years of relevant experience.
DATA LITERACY
Understanding of:
- Best practices for capturing / retaining data
- Pros / Cons of competing analysis methods
Experience leading by:
- Partnering with others to anticipate and understand needs process/procedures
- Leading information practices / policies / procedures
- Setting standards and expectations for data analysis tools and techniques; ensuring compliance with application
- Promoting increased efficiency of data analysis by advocating clearer data requirements
TECHNOLOGY & TECHNIQUES
- Advanced Microsoft Office Suite
- SQL/NoSQL
- Relationship data structure
- Selecting and retrieving data including unstructured data retrieval, archival, and ETL
- Databases
- Advanced Python/R/SAS:
- Databases
- Efficient coding
- Can build strong code controls and translate code into high-level commentary
- Understanding of and ability to leverage:
- Cloud-based computing
- Distributed computing
MODEL BUILDING & MAINTENANCE
Ability to:
- Establish standards and best practices; forecast future modeling tools / techniques
- Identify, employ, and evangelize emerging techniques from industry / research
- Coach others on data modeling methods / techniques
- Facilitate sessions for complex data models
- Assess and understand risks; contingency plans
- Communicate observations to senior executives
- Translate technical observations to a non-technical audience
EXPECTED COMPETENCIES
- Leadership: Demonstrated leadership; may have direct reports; Assumes accountability for their work; Sought out for advice; Proactively coaches and guides the work of others; Manages the integration of activities typically within own team; Demonstrates executive presence; Offers an opinion, contributes to the conversation
- Partnering / Influencing: Demonstrated ability to engage and partner at mid to senior leadership levels; Established reputation and track record as an effective and collaborative partner; Coaches and develops relationship building skills in others; Demonstrates managerial courage; willing to dissent from others; leverages organizational and professional savvy and persuasive skills to influence others
- Business Acumen: Understands LOB and KeyCorp strategy; Leverages knowledge of our competition and the business to anticipate needs and make recommendations; Understands how business works; Contributes materially to LOB strategy
- Critical Thinking / Problem Solving: Critical thinker: able to anticipate business partner needs; Sees the “bigger picture”; Advises leaders to make informed decisions based on keen critical thinking and problem-solving ability; Sought out for perspective and guidance with tackling challenges; Can make decisions; considers longer term business strategy in recommending solutions
- Communication: Excellent writing skills; develops writing skills in others; Recognizes the need to deliver the right message at the right time through the right channel; Articulates the broad implications / impact of the message; Anticipates and addresses conflict; Addresses challenging situations; does not shy away from a tough conversation; Strong presentation development; can coach and guide others to get to the appropriate level of detail and send an effective message; Comfortable presenting to senior levels, easily adapts / changes course, presents with confidence; Demonstrates executive presence
COMPENSATION AND BENEFITS
This position is eligible to earn a base salary in the range of $116,000.00 - $216,000.00 annually. Placement within the pay range may differ based upon various factors, including but not limited to skills, experience and geographic location. Compensation for this role also includes eligibility for incentive compensation which may include production, commission, and/or discretionary incentives. Please click here for a list of benefits for which this position is eligible.
Key has implemented an approach to employee workspaces which prioritizes in-office presence, while providing flexible options in circumstances where roles can be performed effectively in a mobile environment.
Job Posting Expiration Date: 08/30/2026
KeyCorp is an Equal Opportunity Employer committed to sustaining an inclusive culture. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, pregnancy, disability, veteran status or any other characteristic protected by law. Qualified individuals with disabilities or disabled veterans who are unable or limited in their ability to apply on this site may request reasonable accommodations by emailing HR_Compliance@keybank.com.
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Get Access To All JobsTips for Finding Green Card Sponsorship as a Marketing Analytics Manager
Frame your credentials for PERM's specialty occupation standard
PERM requires your employer to document that the role needs a degree in a specific field, not just any bachelor's. Pull together transcripts, credential evaluations, and job descriptions that tie your analytics background directly to the posted position's requirements.
Target employers with dedicated PERM filing history
Companies that have filed PERM applications before already have internal legal processes and HR workflows for sponsorship. Search OFLC disclosure data by SOC code 11-2021 to identify marketing analytics employers who've sponsored foreign workers in the past three years.
Negotiate sponsorship terms before signing your offer
Clarify whether your employer will cover attorney fees, whether the offer letter specifies the role and wage level used in the PERM filing, and what happens to sponsorship if your title changes before the I-140 is approved.
Use Migrate Mate to find green-card-sponsoring roles
Searching for employers already committed to employment-based sponsorship saves months of back-and-forth. Migrate Mate filters Marketing Analytics Manager openings by verified green card sponsorship history, so you're applying to roles where sponsorship is already part of the hiring process.
Understand how your country of birth affects your EB-2 or EB-3 timeline
Priority date backlogs vary sharply by birth country, not citizenship. Professionals born in India or China face multi-year waits at both EB-2 and EB-3 levels, while most other nationalities move through the queue significantly faster. Factor this into your offer timing.
Align your O*NET occupation profile with your actual duties
DOL uses O*NET data to evaluate whether a PERM job description is reasonable for the stated occupation. Review the Marketing Analytics Manager O*NET profile and make sure your employer's job posting reflects the listed tasks and required skills accurately before the application is filed.
Green Card Marketing Analytics Manager: Frequently Asked Questions
Does a Marketing Analytics Manager role qualify for EB-2 or EB-3 green card sponsorship?
Marketing Analytics Manager positions typically qualify for EB-2 sponsorship when the role requires an advanced degree in statistics, marketing, data science, or a related field. EB-3 covers candidates with a bachelor's degree and the required experience. Your employer's job description must specify the degree requirement clearly in the PERM filing for either category.
How does PERM green card sponsorship differ from H-1B sponsorship for this role?
H-1B visa is a temporary nonimmigrant status requiring renewal every three years, subject to annual lottery selection. PERM-based green card sponsorship is permanent residency with no annual cap concerns at the EB-3 level for most nationalities. The tradeoff is timeline: PERM labor certification alone takes six to twelve months before USCIS even reviews your I-140 petition.
What does the PERM labor certification process require from my employer?
Your employer must conduct a DOL-supervised recruitment process to demonstrate no qualified U.S. workers are available for the role. This includes posting the job, reviewing applicants, and documenting the results. The employer then files an ETA Form 9089 with the DOL. You can't file PERM yourself; it's entirely employer-driven, which makes employer selection critical.
Where can I find Marketing Analytics Manager jobs that already offer green card sponsorship?
Migrate Mate is built specifically for this search. It surfaces Marketing Analytics Manager roles from employers with verified employment-based green card sponsorship history, so you're not guessing which companies will sponsor. Filtering by EB-2 or EB-3 eligibility from the start saves you from pursuing opportunities that won't lead to permanent residency.
Can my employer start my green card process while I'm on H-1B status?
Yes, and doing so early is strategically valuable. Filing the I-140 petition while you're on H-1B allows you to accrue a priority date and potentially use AC21 portability after 180 days of pending adjustment of status. USCIS allows concurrent filing of the I-485 adjustment application once your priority date is current, which can significantly shorten the overall timeline.