E-3 Visa Marketing Analytics Manager Jobs
Marketing Analytics Manager roles in the U.S. require a bachelor's degree in a quantitative field, making them a strong fit for E-3 visa sponsorship. The E-3 has no lottery and renews indefinitely in two-year increments, giving Australian analytics professionals a stable, long-term path into U.S. marketing and data teams.
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Get Access To All JobsIt's fun to work in a company where people truly BELIEVE in what they are doing!
We're committed to bringing passion and customer focus to the business.
Fractal Analytics is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise. Fractal is building a world where individual choices, freedom, and diversity are the greatest assets. An ecosystem where human imagination is at the heart of every decision. Where no possibility is written off, only challenged to get better. We believe that a true Fractalite empowers imagination with intelligence. And that it will be such Fractalites that will continue to build the company for the next 100 years.
Please visit Fractal | Intelligence for Imagination for more information about Fractal.
Role Overview
We are looking for an experienced Marketing Analytics / Decision Science Consultant to join our team on an urgent basis. This role requires strong expertise in marketing analytics, data-driven decision-making, and campaign performance optimization. The ideal candidate should be able to quickly onboard and drive impact within a fast-paced environment.
- Fulltime role
- Location: Remote (EST time zone preferred)
Key Responsibilities
- Analyse and optimize ROI of marketing campaigns across channels
- Perform analysis on user app data to identify whales in the add mobs ecosystem and do the right kind of recommendations for retention and increasing revenue from such app partners
- Work closely with the leaders and senior analysts on the paid media side for ad mobs and figure out strategies and analyses to help with the program which focuses on increasing revenue from prime customers in the ecosystem
- Ambiguity and scoping skill in defining measurement gap structuring minimum viable measurement approaches and translating high level business priorities into structured analytical roadmaps
-
Monitor and evaluate key performance metrics, including:
-
Campaign activations
- Revenue generation
- Overall campaign performance
- Conduct deep-dive analysis on social media campaigns and performance metrics
- Build insights and actionable recommendations to improve marketing effectiveness and efficiency
- Leverage data to support strategic decision-making
Required Expertise
- Strong background in Marketing Analytics / Decision Science (mandatory)
- Funnel and cohort analysis ability to build and measure unmanaged and managed setup funnels survival rate benchmarks and retention tenure tracking baselines
- Campaign attribution and reporting experience developing tracking mechanisms for lifecycle marketing campaigns to evaluate Roy investment adjustments and campaign influence on partner adoption
- Strong understanding of partner lifetime value addressable publisher churn reduction and revenue impact analysis tracking in-yard captured revenue and time-to-live
-
Hands-on experience in:
-
Marketing Mix Modeling (MMM)
- Multi-Touch Attribution (MTA) and Long-Term Attribution (LTA)
- Funnel Analytics
- Campaign Analytics
- ROI analysis across marketing and social media channels
Technical Skills
- Data extraction and infrastructure proficiency in querying and working with large-scale product data tables tracking setup to activation drivers and navigating complex data environments such as product data tables and internal bi systems
- Proficiency in working with and setting up agenting workflows using clients first-party agenting tools
-
Proficiency in:
-
SQL
- Advanced Excel
-
Strong understanding of statistical and analytical techniques, including:
-
Correlation
- Regression
- Forecasting
- Segmentation
-
Experience with the these skills as:
-
AdMob
- AdSense
Soft Skills
- Cross-functional collaboration ability to partner closely with product analyst engineers
- Excellent communication and stakeholder management skills
- Highly adaptable, flexible, and eager to learn
- Ability to work independently in a remote, fast-paced environment
Ideal Candidate Profile
- Consultant with strong Decision Science / Marketing Analytics background
- Proven experience working on data-driven marketing strategies
- Ability to translate complex data into clear business insights
Pay:
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Fractal, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is: $100,000 to $120,000. In addition, for the current performance period, you may be eligible for a discretionary bonus.
Benefits:
As a full-time employee of the company or as an hourly employee working more than 30 hours per week, you will be eligible to participate in the health, dental, vision, life insurance, and disability plans in accordance with the plan documents, which may be amended from time to time. You will be eligible for benefits on the first day of employment with the Company. In addition, you are eligible to participate in the Company 401(k) Plan after 30 days of employment, in accordance with the applicable plan terms. The Company provides for 11 paid holidays and 12 weeks of Parental Leave. We also follow a "free time" PTO policy, allowing you the flexibility to take time needed for either sick time or vacation.
Fractal provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!
Not the right fit? Let us know you're interested in a future opportunity by clicking Introduce Yourself in the top-right corner of the page or create an account to set up email alerts as new job postings become available that meet your interest!
It's fun to work in a company where people truly BELIEVE in what they are doing!
We're committed to bringing passion and customer focus to the business.
Fractal Analytics is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise. Fractal is building a world where individual choices, freedom, and diversity are the greatest assets. An ecosystem where human imagination is at the heart of every decision. Where no possibility is written off, only challenged to get better. We believe that a true Fractalite empowers imagination with intelligence. And that it will be such Fractalites that will continue to build the company for the next 100 years.
Please visit Fractal | Intelligence for Imagination for more information about Fractal.
Role Overview
We are looking for an experienced Marketing Analytics / Decision Science Consultant to join our team on an urgent basis. This role requires strong expertise in marketing analytics, data-driven decision-making, and campaign performance optimization. The ideal candidate should be able to quickly onboard and drive impact within a fast-paced environment.
- Fulltime role
- Location: Remote (EST time zone preferred)
Key Responsibilities
- Analyse and optimize ROI of marketing campaigns across channels
- Perform analysis on user app data to identify whales in the add mobs ecosystem and do the right kind of recommendations for retention and increasing revenue from such app partners
- Work closely with the leaders and senior analysts on the paid media side for ad mobs and figure out strategies and analyses to help with the program which focuses on increasing revenue from prime customers in the ecosystem
- Ambiguity and scoping skill in defining measurement gap structuring minimum viable measurement approaches and translating high level business priorities into structured analytical roadmaps
-
Monitor and evaluate key performance metrics, including:
-
Campaign activations
- Revenue generation
- Overall campaign performance
- Conduct deep-dive analysis on social media campaigns and performance metrics
- Build insights and actionable recommendations to improve marketing effectiveness and efficiency
- Leverage data to support strategic decision-making
Required Expertise
- Strong background in Marketing Analytics / Decision Science (mandatory)
- Funnel and cohort analysis ability to build and measure unmanaged and managed setup funnels survival rate benchmarks and retention tenure tracking baselines
- Campaign attribution and reporting experience developing tracking mechanisms for lifecycle marketing campaigns to evaluate Roy investment adjustments and campaign influence on partner adoption
- Strong understanding of partner lifetime value addressable publisher churn reduction and revenue impact analysis tracking in-yard captured revenue and time-to-live
-
Hands-on experience in:
-
Marketing Mix Modeling (MMM)
- Multi-Touch Attribution (MTA) and Long-Term Attribution (LTA)
- Funnel Analytics
- Campaign Analytics
- ROI analysis across marketing and social media channels
Technical Skills
- Data extraction and infrastructure proficiency in querying and working with large-scale product data tables tracking setup to activation drivers and navigating complex data environments such as product data tables and internal bi systems
- Proficiency in working with and setting up agenting workflows using clients first-party agenting tools
-
Proficiency in:
-
SQL
- Advanced Excel
-
Strong understanding of statistical and analytical techniques, including:
-
Correlation
- Regression
- Forecasting
- Segmentation
-
Experience with the these skills as:
-
AdMob
- AdSense
Soft Skills
- Cross-functional collaboration ability to partner closely with product analyst engineers
- Excellent communication and stakeholder management skills
- Highly adaptable, flexible, and eager to learn
- Ability to work independently in a remote, fast-paced environment
Ideal Candidate Profile
- Consultant with strong Decision Science / Marketing Analytics background
- Proven experience working on data-driven marketing strategies
- Ability to translate complex data into clear business insights
Pay:
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Fractal, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is: $100,000 to $120,000. In addition, for the current performance period, you may be eligible for a discretionary bonus.
Benefits:
As a full-time employee of the company or as an hourly employee working more than 30 hours per week, you will be eligible to participate in the health, dental, vision, life insurance, and disability plans in accordance with the plan documents, which may be amended from time to time. You will be eligible for benefits on the first day of employment with the Company. In addition, you are eligible to participate in the Company 401(k) Plan after 30 days of employment, in accordance with the applicable plan terms. The Company provides for 11 paid holidays and 12 weeks of Parental Leave. We also follow a "free time" PTO policy, allowing you the flexibility to take time needed for either sick time or vacation.
Fractal provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!
Not the right fit? Let us know you're interested in a future opportunity by clicking Introduce Yourself in the top-right corner of the page or create an account to set up email alerts as new job postings become available that meet your interest!
See all E-3 Visa Marketing Analytics Manager Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new E-3 Visa Marketing Analytics Manager Jobs.
Get Access To All JobsTips for Finding E-3 Visa Sponsorship as a Marketing Analytics Manager
Frame your degree field precisely
E-3 visa eligibility requires your degree to directly relate to analytics or marketing. A statistics, economics, or information systems degree maps cleanly. A general business degree needs supporting documentation showing a direct connection to the analytical duties in your job description.
Target companies with analytics infrastructure
Retailers, SaaS platforms, and media companies with dedicated data teams file LCAs regularly and understand E-3 mechanics. Prioritise roles where analytics is a core function, not a shared responsibility, so your specialty occupation case is straightforward from the start.
Translate Australian credentials for U.S. hiring managers
Your three-year Australian bachelor's degree is generally accepted as equivalent to a U.S. four-year degree for E-3 purposes. Flag this upfront with the hiring manager so sponsorship conversations don't stall on a credentials misunderstanding before reaching HR.
Confirm LCA prevailing wage before accepting an offer
Your employer files a Labor Condition Application with the DOL certifying your offered salary meets the prevailing wage for your role and location. Review the DOL's wage data for your metro area before you accept, so there are no surprises during LCA certification.
Use Migrate Mate's E-3 filing service for end-to-end preparation
Once you have an offer, use Migrate Mate's E-3 filing service to handle your LCA filing, visa paperwork, and consulate appointment preparation. Analytics Manager roles span multiple SOC codes, and getting the classification right on the LCA matters for a clean application.
Prepare a portfolio of measurable campaign or revenue outcomes
Consular officers assess whether your role genuinely requires specialised knowledge. Documented results tied to specific analytical methodologies, such as attribution modelling, incrementality testing, or forecasting frameworks, strengthen the specialty occupation argument beyond your job title alone.
E-3 Visa Marketing Analytics Manager: Frequently Asked Questions
How do I find Marketing Analytics Manager jobs with E-3 visa sponsorship?
Migrate Mate lists Marketing Analytics Manager roles from U.S. employers who are open to E-3 sponsorship, so you're not cold-filtering generic job boards. Roles are matched to E-3 eligibility criteria, which means you can focus on positions where the specialty occupation requirement and degree-field connection are already a reasonable fit for this role.
How much does it cost to get an E-3 visa?
Migrate Mate's E-3 filing service covers the entire process for $499, including the Labor Condition Application, visa document preparation, and consulate appointment guidance. Traditional immigration lawyers charge $2,000–$5,000+ for the same work. The E-3 has less paperwork than most work visas, so paying thousands for legal help is usually unnecessary.
Does a Marketing Analytics Manager role qualify as a specialty occupation for the E-3?
Yes, in most cases. The E-3 requires the position to normally require a bachelor's degree or higher in a specific field. Marketing Analytics Manager roles that require quantitative analysis, statistical modelling, or data-driven strategy typically qualify when the job description specifies a degree in statistics, economics, marketing analytics, or a related discipline. Generic marketing roles without an analytical focus carry more risk.
How does the E-3 compare to the H-1B for Marketing Analytics Manager roles?
The E-3 is available year-round with no lottery, so you can start the process as soon as you have a job offer. The H-1B visa requires registration in March for an October start date, and selection is not guaranteed. For Australian nationals in analytics roles, the E-3 is a faster and more predictable path, with the same specialty occupation standard applying to both visas.
Can I change employers or get promoted while on an E-3 as a Marketing Analytics Manager?
Changing employers requires your new employer to file a fresh LCA with the DOL and obtain a new E-3 visa before you start. A promotion within the same company that changes your job duties significantly may also require an updated LCA. Plan for a processing gap of several weeks when switching roles, and confirm your current visa validity before making a move.