Time since we first saw it
Day 0
Early. Similar jobs usually come down between day 7 and day 54.
At GoDaddy, jobs usually come down by about day 27.
From 7,950 similar postings that came down, and 5 of GoDaddy’s. Coming down is not always a hire.
Senior Manager, Business Analytics - Strategic Modeling
- Pay
- Pay not listed
- Work setting
Remote — work setting source
At GoDaddy the future of work looks different for each team. Some teams work in the office full-time; others have a hybrid arrangement (they work remotely some days and in the office some days) and some work entirely remotely. This is a remote position, so you’ll be working remotely from your home. You may occasionally visit a GoDaddy office to meet with your team for events or meetings. Join our team...
Read the full posting- Employment
- Not stated
What you’ll work on
Full postingYou will lead the team, methodologies, models, and operating rhythms that translate business assumptions into forward-looking revenue, demand, capacity, and workforce scenarios.
From the employer’s posting
GoDaddy is a data-driven company dedicated to empowering entrepreneurs worldwide. We are seeking a Senior Manager, Business Analytics, Strategic Modeling to lead Strategic Modeling within Care Commercial Success. In this role, you will bring together long-term revenue forecasting, customer contact forecasting, and capacity planning into an integrated business analytics capability. You will lead the team, methodologies, models, and operating rhythms that translate business assumptions into forward-looking revenue, demand, capacity, and workforce scenarios. You will partner closely with Care leadership, Finance, Operations, Recruiting, Command Center, and other cross-functional teams to identify risks, evaluate tradeoffs, and provide recommendations that inform financial and operational decisions. This role is focused on long-range strategic modeling, forecasting, and decision support, rather than day-to-day workforce scheduling or intraday management.
Education & alternatives
- Advanced experience with statistical or time-series forecasting methods and developing automated or scalable forecasting solutions. - A Master's degree in Finance, Economics, Statistics, Operations Research, Data Analytics, Mathematics, or another relevant quantitative field. We encourage you to apply even if your experience or skillset doesn’t align perfectly with every requirement. We value a wide range of backgrounds and transferable skills, and we are excited to support learning and growth.
Benefits in the posting
Full benefits wording- Working at GoDaddy offers many benefits, including competitive pay, generous time off, parental leave, healthcare, retirement savings program, and much more. Offerings vary by location.
- This role may be eligible to participate in GoDaddy's equity plan. All roles are generally eligible for the following benefits: health, dental, and vision insurance, life insurance, critical illness, AD&D, health care spending account, employee assistance program, paid sick time, paid personal time, paid parental leave, remote work options, paid holidays, paid Wellness days, employee stock purchase plan; and other benefits in accordance with GoDaddy's benefit plans and applicable law.
- Please note:
From the employer’s posting.
Posting record
Report an errorActively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Nov 5, 2026today
- Recorded sightings
- 1
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
GoDaddy is hiring
1 open job
Open jobs by the week we first saw them, last 12 weeks.
- Takes jobs down at a usual pace
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- R
- SQL
- Power BI
- Tableau
Where the posting names them
- Demonstrated experience building and improving forecasting, scenario modeling, and strategic planning capabilities, including time-series forecasting, model validation, backtesting, and sensitivity analysis. - Strong SQL proficiency and working knowledge of Python and/or R for analytical modeling, automation, or forecast development, along with experience utilizing business intelligence tools such as Amazon QuickSight, Tableau, or Power BI. - Strong financial and operational acumen with the ability to translate complex analytics into clear, data-driven recommendations and influence senior and executive stakeholders.
Your next step
Complete your application on careers.godaddy. The employer’s form will show what is required.
Applying through Greenhouse
- No account needed: the form is one page, with an “Autofill my application” option that reads your resume.
- Greenhouse doesn’t read resumes over 2.5 MB, or details placed in a header, footer, text box, table or second column. The file still attaches, but a recruiter has to type you in by hand.
Already applied? Track this application
About GoDaddy
- People
- About 5,845 in 2025, up 6% from the year before.Annual report (SEC Form 10-K)
- Company
- Listed as GDDY.
Demand for Data Leadership roles
New Data Leadership postings at the employers we follow are up 7% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under Data Leadership, by the work the posting describes.
Data leaders run data teams or design how a company's data fits together. Managers hire, set priorities and answer for whether the data work pays off; architects choose the systems and the shape of the data.
Expect years of hands-on data work, experience leading people or projects, and the ability to explain tradeoffs to executives.
Unlike a senior engineer or analyst, most of a data leader's week goes to people, planning and decisions rather than building.
US government figures for computer and information systems managers
- Median yearly pay, May 2025
- $175,140
- Expected change, 2025 to 2035
- 15.8% more jobsagainst 3.5% for all jobs
The government has no code for data leaders, so these figures are for the closest group, computer and information systems managers, which includes data processing and data operations managers.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 11-3021.
Job description
Location Details: Canada, Remote - BC or ON
At GoDaddy the future of work looks different for each team. Some teams work in the office full-time; others have a hybrid arrangement (they work remotely some days and in the office some days) and some work entirely remotely.
This is a remote position, so you’ll be working remotely from your home. You may occasionally visit a GoDaddy office to meet with your team for events or meetings.
Join our team...
GoDaddy is a data-driven company dedicated to empowering entrepreneurs worldwide. We are seeking a Senior Manager, Business Analytics, Strategic Modeling to lead Strategic Modeling within Care Commercial Success.
In this role, you will bring together long-term revenue forecasting, customer contact forecasting, and capacity planning into an integrated business analytics capability. You will lead the team, methodologies, models, and operating rhythms that translate business assumptions into forward-looking revenue, demand, capacity, and workforce scenarios.
You will partner closely with Care leadership, Finance, Operations, Recruiting, Command Center, and other cross-functional teams to identify risks, evaluate tradeoffs, and provide recommendations that inform financial and operational decisions. This role is focused on long-range strategic modeling, forecasting, and decision support, rather than day-to-day workforce scheduling or intraday management.
What you'll get to do...
- Lead and develop a multidisciplinary Business Analytics team responsible for long-term revenue forecasting, contact forecasting, capacity planning, and strategic modeling.
- Establish an integrated modeling framework that connects commercial assumptions, customer demand, productivity, workforce capacity, hiring, training, and financial outcomes.
- Build and oversee forecasting, scenario, and sensitivity models that evaluate key business drivers such as demand, conversion, productivity, AHT, attrition, automation, and hiring timelines.
- Translate complex analytical outputs into actionable capacity, hiring, training, and investment recommendations, clearly communicating outlook, risks, opportunities, and tradeoffs to senior and executive leaders.
- Establish standards for forecasting methodology, model governance, validation, backtesting, documentation, and continuous improvement while advancing automation, scalability, predictive accuracy, and speed to insight.
- 8+ years of experience in business analytics, forecasting, strategic planning, financial modeling, capacity planning, or a related quantitative discipline.
- 3+ years of people leadership experience, with demonstrated success developing analytics professionals and leading complex, cross-functional analytical initiatives.
- Demonstrated experience building and improving forecasting, scenario modeling, and strategic planning capabilities, including time-series forecasting, model validation, backtesting, and sensitivity analysis.
- Strong SQL proficiency and working knowledge of Python and/or R for analytical modeling, automation, or forecast development, along with experience utilizing business intelligence tools such as Amazon QuickSight, Tableau, or Power BI.
- Strong financial and operational acumen with the ability to translate complex analytics into clear, data-driven recommendations and influence senior and executive stakeholders.
- Experience building or scaling a centralized forecasting, strategic modeling, workforce analytics, or capacity planning function.
- Experience supporting large-scale customer care, contact center, sales, or other high-volume service operations.
- Experience integrating revenue forecasts, customer demand, workforce capacity, and financial planning into a unified business model.
- Advanced experience with statistical or time-series forecasting methods and developing automated or scalable forecasting solutions.
- A Master's degree in Finance, Economics, Statistics, Operations Research, Data Analytics, Mathematics, or another relevant quantitative field.
We encourage you to apply even if your experience or skillset doesn’t align perfectly with every requirement. We value a wide range of backgrounds and transferable skills, and we are excited to support learning and growth.
About us... GoDaddy is empowering everyday entrepreneurs around the world by providing the help and tools to succeed online, making opportunity more inclusive for all. GoDaddy is the place people come to name their idea, build a professional website, attract customers, sell their products and services, and manage their work. Our mission is to give our customers the tools, insights, and people to transform their ideas and personal initiative into success. To learn more about the company, visit About Us.
At GoDaddy, we know diverse teams build better products—period. Our people and culture reflect and celebrate that sense of diversity and inclusion in ideas, experiences and perspectives. But we also know that’s not enough to build true equity and belonging in our communities. That’s why we prioritize integrating diversity, equity, inclusion and belonging principles into the core of how we work every day—focusing not only on our employee experience, but also our customer experience and operations. It’s the best way to serve our mission of empowering entrepreneurs everywhere, and making opportunity more inclusive for all. To read more about these commitments, as well as our representation and pay equity data, check out our Diversity and Pay Parity annual report which can be found on our Diversity Careers page.
We also embrace our diverse culture and offer a range of Employee Resource Groups (Culture). Have a side hustle? No problem. We love entrepreneurs! Most importantly, come as you are and make your own way.
GoDaddy is proud to be an equal opportunity employer. GoDaddy will consider for employment qualified applicants with criminal histories in a manner consistent with local and federal requirements. Refer to our full EEO policy.
Our recruiting team is available to assist you in completing your application. If they could be helpful, please reach out to myrecruiter@godaddy.com.
GoDaddy doesn’t accept unsolicited resumes from recruiters or employment agencies.
Compensation & Benefits
What We Offer:
Working at GoDaddy offers many benefits, including competitive pay, generous time off, parental leave, healthcare, retirement savings program, and much more. Offerings vary by location.
This role may be eligible to participate in GoDaddy's equity plan. All roles are generally eligible for the following benefits: health, dental, and vision insurance, life insurance, critical illness, AD&D, health care spending account, employee assistance program, paid sick time, paid personal time, paid parental leave, remote work options, paid holidays, paid Wellness days, employee stock purchase plan; and other benefits in accordance with GoDaddy's benefit plans and applicable law.
The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location.
Please note:
- AI will not be used to screen, assess or select applicants other than as set out in the details in the application below.
- This job posting relates to an existing vacancy.
Compensation
In addition to the salary range below, the role may be eligible to participate in a discretionary cash bonus scheme that pays 15% of base salary based on individual and company performance.
Canada:
$137,000—$205,000 CAD
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Canada
Location Details: Canada, Remote - BC or ON At GoDaddy the future of work looks different for each team. Some teams work in the office full-time; others have a hybrid arrangement (they work remotely some days and in the office some days) and some work entirely remotely. This is a remote position, so you’ll be working remotely from your home. You may occasionally visit a GoDaddy office to meet with your team for events or meetings. Join our team...
More source context
Working at GoDaddy offers many benefits, including competitive pay, generous time off, parental leave, healthcare, retirement savings program, and much more. Offerings vary by location. This role may be eligible to participate in GoDaddy's equity plan. All roles are generally eligible for the following benefits: health, dental, and vision insurance, life insurance, critical illness, AD&D, health care spending account, employee assistance program, paid sick time, paid personal time, paid parental leave, remote work options, paid holidays, paid Wellness days, employee stock purchase plan; and other benefits in accordance with GoDaddy's benefit plans and applicable law. The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.