E-3 Visa Demand Planning Analyst Jobs
Demand Planning Analyst roles qualify for E-3 visa sponsorship as specialty occupations requiring a bachelor's degree in supply chain, business analytics, or a related field. The E-3 has no lottery and no annual cap, making it a practical path for Australian professionals targeting U.S. forecasting and inventory planning positions.
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INTRODUCTION
Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way.
THE COMMUNITY YOU WILL JOIN
The Community Support org handles tens of millions of interactions yearly, engaging with Airbnb customers by phone, messaging, chat, or social media channels. The group handles hundreds of issues across categories including Cancellations, Account Issues, Refunds, Payments, Reservations, Extenuating Circumstances, Booking & Listing issues, Safety & Claims. The organization is globally distributed with offices in San Francisco, Dublin, Montreal, Seattle, Singapore, Manila, Gurgaon and an extensive partner network serving all regions.
THE DIFFERENCE YOU WILL MAKE
We are looking for a seasoned Forecasting and Demand Planning Analyst on our Community Support (CS) team. This individual is responsible for demand forecasting and long-term planning across multi-channel contact center operations for our Global Operations team. This role ensures the organization has the right resources, at the right time, with the right skills to meet service level objectives while optimizing cost and productivity. The role combines planning, advanced analytics and business partnership to drive scalable, data-driven workforce decisions in a complex, fast-changing environment.
A TYPICAL DAY
Demand Forecasting & Statistical Modeling
- Own short-term, mid-term, and long-term demand forecasting across all Global Operations teams and channels (phone, messaging, email, back-office etc.).
- Design, develop, and maintain statistically robust demand forecasting models using time series and machine learning techniques (e.g., exponential smoothing, ARIMA, regression-based models etc.).
- Perform trend, seasonality, and variance decomposition; detect structural breaks, outliers, and demand anomalies.
- Quantify forecast uncertainty through confidence intervals, error distributions, and bias analysis.
- Perform scenario modeling for peak demand periods, product launches, growth initiatives, and unplanned demand events.
- Continuously assess model performance using statistical accuracy metrics (MAPE, RMSE, MAE, bias etc).
- Establish model governance standards, including documentation, validation, back-testing, and post-mortem analysis.
- Research, prototype, and implement new forecasting and optimization techniques as business needs evolve.
- Perform scenario planning and sensitivity analysis to quantify trade-offs between service levels, cost, and utilization.
Advanced Analytics
- In partnership with the Analytics and Data Engineering team, design and build scalable planning data pipelines, dashboards, and automate forecasting and capacity models to improve scalability, repeatability, and timeliness.
- Use SQL and Python to extract, transform, and analyze large-scale operational datasets to monitor forecast accuracy, capacity gaps, utilization, and operational risk.
Decision Support & Stakeholder Communication
- Present forecast assumptions, methodologies, risks, trade-offs, and recommendations in clear, executive-ready formats and act as a trusted advisor to senior leadership and participate in demand/capacity planning discussions in cross-functional forums.
- Align cross-functional stakeholders (Delivery, Product, Finance, HR, and others) to embed planning outputs into execution and operational decision-making.
- Identify and implement process improvements, automation, and best practices in the demand and capacity planning area to optimize cost while maintaining or improving customer experience and service-level outcomes.
YOUR EXPERTISE
- 10+ years of experience in demand forecasting, capacity planning, workforce analytics, or applied analytics.
- Bachelor’s degree in Mathematics, Statistics, Operations Research, Engineering, Economics, Data Science, or a related quantitative field.
- Strong foundation in probability, statistics, and optimization.
- Hands-on experience building and validating forecasting models (time series analysis, exponential smoothing, ARIMA, regression, hypothesis testing) and capacity models (Erlang, queueing theory, service-level and utilization modeling).
- Strong understanding of contact center metrics (AHT, ASA, service level, shrinkage, occupancy); experience supporting large-scale, multi-site, or global contact center environments preferred.
- Advanced analytical skills with strong proficiency in Excel, Google Sheets, SQL, Python and data visualization tools such as Tableau.
- Experience with WFM tools (e.g., NICE, Verint, Aspect) or planning platforms (e.g., Anaplan) preferred.
- Strong business acumen with the ability to balance cost efficiency and customer experience outcomes.
- Excellent communication, executive presentation, and stakeholder influence skills; ability to explain complex analytical concepts to non-technical audiences.
- Comfortable operating in fast-paced, ambiguous, and highly dynamic environments.
YOUR LOCATION:
This position is US - Remote Eligible. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager. While the position is Remote Eligible, you must live in a state where Airbnb, Inc. has a registered entity. Click here for the up-to-date list of excluded states. This list is continuously evolving, so please check back with us if the state you live in is on the exclusion list. If your position is employed by another Airbnb entity, your recruiter will inform you what states you are eligible to work from.
OUR COMMITMENT TO INCLUSION & BELONGING
Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply. We strive to also provide a disability inclusive application and interview process. If you are a candidate with a disability and require reasonable accommodation in order to submit an application, please contact us at: reasonableaccommodations@airbnb.com. Please include your full name, the role you’re applying for and the accommodation necessary to assist you with the recruiting process. We ask that you only reach out to us if you are a candidate whose disability prevents you from being able to complete our online application.
HOW WE'LL TAKE CARE OF YOU
Our job titles may span more than one career level. The actual base pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. The base pay range is subject to change and may be modified in the future. This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.
Pay Range $168,000—$210,000 USD

INTRODUCTION
Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way.
THE COMMUNITY YOU WILL JOIN
The Community Support org handles tens of millions of interactions yearly, engaging with Airbnb customers by phone, messaging, chat, or social media channels. The group handles hundreds of issues across categories including Cancellations, Account Issues, Refunds, Payments, Reservations, Extenuating Circumstances, Booking & Listing issues, Safety & Claims. The organization is globally distributed with offices in San Francisco, Dublin, Montreal, Seattle, Singapore, Manila, Gurgaon and an extensive partner network serving all regions.
THE DIFFERENCE YOU WILL MAKE
We are looking for a seasoned Forecasting and Demand Planning Analyst on our Community Support (CS) team. This individual is responsible for demand forecasting and long-term planning across multi-channel contact center operations for our Global Operations team. This role ensures the organization has the right resources, at the right time, with the right skills to meet service level objectives while optimizing cost and productivity. The role combines planning, advanced analytics and business partnership to drive scalable, data-driven workforce decisions in a complex, fast-changing environment.
A TYPICAL DAY
Demand Forecasting & Statistical Modeling
- Own short-term, mid-term, and long-term demand forecasting across all Global Operations teams and channels (phone, messaging, email, back-office etc.).
- Design, develop, and maintain statistically robust demand forecasting models using time series and machine learning techniques (e.g., exponential smoothing, ARIMA, regression-based models etc.).
- Perform trend, seasonality, and variance decomposition; detect structural breaks, outliers, and demand anomalies.
- Quantify forecast uncertainty through confidence intervals, error distributions, and bias analysis.
- Perform scenario modeling for peak demand periods, product launches, growth initiatives, and unplanned demand events.
- Continuously assess model performance using statistical accuracy metrics (MAPE, RMSE, MAE, bias etc).
- Establish model governance standards, including documentation, validation, back-testing, and post-mortem analysis.
- Research, prototype, and implement new forecasting and optimization techniques as business needs evolve.
- Perform scenario planning and sensitivity analysis to quantify trade-offs between service levels, cost, and utilization.
Advanced Analytics
- In partnership with the Analytics and Data Engineering team, design and build scalable planning data pipelines, dashboards, and automate forecasting and capacity models to improve scalability, repeatability, and timeliness.
- Use SQL and Python to extract, transform, and analyze large-scale operational datasets to monitor forecast accuracy, capacity gaps, utilization, and operational risk.
Decision Support & Stakeholder Communication
- Present forecast assumptions, methodologies, risks, trade-offs, and recommendations in clear, executive-ready formats and act as a trusted advisor to senior leadership and participate in demand/capacity planning discussions in cross-functional forums.
- Align cross-functional stakeholders (Delivery, Product, Finance, HR, and others) to embed planning outputs into execution and operational decision-making.
- Identify and implement process improvements, automation, and best practices in the demand and capacity planning area to optimize cost while maintaining or improving customer experience and service-level outcomes.
YOUR EXPERTISE
- 10+ years of experience in demand forecasting, capacity planning, workforce analytics, or applied analytics.
- Bachelor’s degree in Mathematics, Statistics, Operations Research, Engineering, Economics, Data Science, or a related quantitative field.
- Strong foundation in probability, statistics, and optimization.
- Hands-on experience building and validating forecasting models (time series analysis, exponential smoothing, ARIMA, regression, hypothesis testing) and capacity models (Erlang, queueing theory, service-level and utilization modeling).
- Strong understanding of contact center metrics (AHT, ASA, service level, shrinkage, occupancy); experience supporting large-scale, multi-site, or global contact center environments preferred.
- Advanced analytical skills with strong proficiency in Excel, Google Sheets, SQL, Python and data visualization tools such as Tableau.
- Experience with WFM tools (e.g., NICE, Verint, Aspect) or planning platforms (e.g., Anaplan) preferred.
- Strong business acumen with the ability to balance cost efficiency and customer experience outcomes.
- Excellent communication, executive presentation, and stakeholder influence skills; ability to explain complex analytical concepts to non-technical audiences.
- Comfortable operating in fast-paced, ambiguous, and highly dynamic environments.
YOUR LOCATION:
This position is US - Remote Eligible. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager. While the position is Remote Eligible, you must live in a state where Airbnb, Inc. has a registered entity. Click here for the up-to-date list of excluded states. This list is continuously evolving, so please check back with us if the state you live in is on the exclusion list. If your position is employed by another Airbnb entity, your recruiter will inform you what states you are eligible to work from.
OUR COMMITMENT TO INCLUSION & BELONGING
Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply. We strive to also provide a disability inclusive application and interview process. If you are a candidate with a disability and require reasonable accommodation in order to submit an application, please contact us at: reasonableaccommodations@airbnb.com. Please include your full name, the role you’re applying for and the accommodation necessary to assist you with the recruiting process. We ask that you only reach out to us if you are a candidate whose disability prevents you from being able to complete our online application.
HOW WE'LL TAKE CARE OF YOU
Our job titles may span more than one career level. The actual base pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. The base pay range is subject to change and may be modified in the future. This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.
Pay Range $168,000—$210,000 USD
See all 5+ Demand Planning Analyst jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Demand Planning Analyst roles.
Get Access To All JobsTips for Finding E-3 Visa Sponsorship as a Demand Planning Analyst
Frame your credentials for U.S. specialty occupation
A three-year Australian bachelor's degree is generally accepted as equivalent to a U.S. four-year degree for E-3 purposes. Get a credential evaluation letter before interviews so your degree equivalency is documented and ready when an employer asks.
Target employers with active LCA filing history
Search the DOL's public LCA disclosure data for 'Demand Planning Analyst' or related SOC codes like Operations Research Analyst. Employers who have filed LCAs before understand the process and are far less likely to withdraw an offer over sponsorship concerns.
Separate your job search from your visa conversation
Raise E-3 sponsorship after you've established your value in the interview process, not at the first screen. Framing it as a straightforward employer obligation rather than a burden shifts the dynamic and reduces the risk of early rejection.
Clarify the LCA timeline before your start date
The DOL certifies most LCAs within seven business days, but your employer needs to file it before you can attend your consulate appointment. Confirm with HR that the LCA is submitted well ahead of your intended start date to avoid delays.
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 and visa paperwork. Having a dedicated expert manage the filing reduces the risk of errors that slow consulate processing for roles with complex multi-site or remote work arrangements.
Verify your offer letter covers specialty occupation requirements
Your offer letter must specify that a bachelor's degree in a relevant field is required for the role, not just preferred. Consular officers scrutinize this wording for demand planning roles, so ask your employer to confirm the language before you file your DS-160.
Demand Planning Analyst jobs are hiring across the US. Find yours.
Find Demand Planning Analyst JobsDemand Planning Analyst E-3 Visa: Frequently Asked Questions
How do I find Demand Planning Analyst jobs with E-3 visa sponsorship?
Migrate Mate is the most direct way to search for Demand Planning Analyst roles where employers are open to E-3 sponsorship. The platform filters opportunities by visa type, so you're not wasting time on applications where sponsorship isn't on the table. From there, you can move into the filing process without switching platforms.
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 Demand Planning Analyst role qualify as a specialty occupation for the E-3?
Yes, in most cases. Demand Planning Analyst positions typically require a bachelor's degree in supply chain management, business analytics, operations research, or a closely related field, which satisfies the E-3 specialty occupation standard. The key is that the degree requirement must be a genuine job requirement, not just a preference stated in the posting.
How does the E-3 compare to the H-1B for Demand Planning Analyst roles?
The E-3 is significantly more practical for Australian professionals in this role. There's no lottery and no annual cap, so your employer can file at any point in the year and expect a predictable outcome. The H-1B selection rate has been around 25% in recent years, meaning most petitions don't result in approval regardless of qualifications.
Can I transfer my E-3 if I change employers or move to a different planning role?
Yes, but the process restarts with the new employer. Your new employer must file a fresh LCA with the DOL and you'll need to attend a new consulate appointment or change status if you're already in the U.S. The E-3 is employer-specific, so confirm your new role still meets specialty occupation requirements before you resign.
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