Sr. Forecasting & Analytics Manager
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Job Location:
Bellevue, WA - USA
Monthly Salary:
$ 121600 - 219400
Posted on:
06-11-2025
Vacancies:
1 Vacancy
Job Summary
At T-Mobile we invest in YOU! Our Total Rewards Package ensures that employees get the same big love we give our customers. All team members receive a competitive base salary and compensation package - this is Total Rewards. Employees enjoy multiple wealth-building opportunities through our annual stock grant employee stock purchase plan 401(k) and access to free year-round money coaches. Thats how were UNSTOPPABLE for our employees!
As a Sr. Forecasting & Analytics Manager you are responsible for leading the application of various techniques including machine learning and statistical methods to solve business problems and produce forecasts with regard to devices (products). You will collaborate with a multi-disciplinary team of technical and non-technical business partners on a wide range of challenges. You must demonstrate expertise across the entire analytics and machine learning lifecycle including problem framing data collection exploratory data analysis model development deployment foreacsting and product performance measurement.The Sr. Forecasting & Analytics Manager is a visionary strategist analyst customer evangelist and professional relationship builder all rolled into a single dynamic package. Every product/device at T-Mobile is envisioned and created to achieve a specific business purpose or set of business results. You will be ultimately accountable responsible and have ownership and insight of T-Mobiles internal and external products platforms services experiences envisioned and created to again achieve the specific business purpose or business results. At a high level this means predicting/identifying the intersection of customer problems/unmet needs and opportunities technical feasibility business objectives and working with a cross-functional team as well as key partners to deliver against these opportunities.
No day is the same for the Sr. Forecasting & Analytics Manager. Day-to-day activities or responsibilities include: defining/conducting market research; resolving short and long-term strategies of devices/products; helping drive and support product through analytics and modeling Forecasting and predictive performance and above all delivery of product perfomance end to end. Partnering with development project/program management marketing finance procurement and other key collaborators is paramount.
Responsibilities:
- Extract prepare and model large complex data sets using a combination of skills including machine learning theory mathematics statistics and programming
- Owns product/device forecasts and analysis end to end for cross-platform solutions of the highest level of complexity and scope. This includes creating managing maintaining and communicating forecast accuracy product performance vision and promotional/seasonal impacts
- Identifies target customer(s) for existing or future products (handsets and devices) and designs and drives end-user research/output/performance for these product(s)
- Partners with business internal/external collaborators and Leadership to understand current customer preferences identifies key areas of opportunity
- Deliver on-time quality analysis interpretation and synthesis of data into effective concise and actionable recommendations that enable intelligent decisioning for the company. Product opportunities or root cause of issues and assess opportunity size and impact. Work with other data scientists/managers to answer complex questions or identify significant insights from data.
- Anticipates industry trends direction innovation analyses potential impacts or opportunities to customer/ product(s) and incorporates analyses into the model(s)
- Drives specific ad hoc analysis and presents information to executive (VP and below) level management on request
- Supports marketing finance and other partner teams with the necessary product/forecasting knowledge and additional analytical documentation when requested
- Collaborates and develops positive working relationships with many teams including sales commercial accounting marketing legal go-to-market and finance. Works with outside partners and other third parties.
- Also responsible for other Duties/Projects as assigned by business management as needed.
Qualifications:
- 7 years Product Industry experience in predictive modeling data science and analysis building and deploying ML/AI models or hands on experience developing deep learning models with respect to product (Devices/Handsets)
- 4-7 years Experience with data scripting languages (e.g. SQL Python R) with forecasting applications (SAS or other)
- 4-7 years Experience in product forecasting and long-range product performance predictability and articulating and translating business questions and using statistical techniques to arrive at an answer using available data
- Confirmed ability to effectively and efficiently communicate with Leadership while employing a high degree of collaboration and influence.
- Expertise in Python SQL and SAS
- Calculus linear algebra statistics and probability
- Strong requirements elicitation and validated writing skills including the ability to write concisely and clearly for different audiences.
- Strong analytical skills with demonstrated ability to identify/analyze/synthesize product use data and use the data to drive decisions.
- Bachelors Degree in Quantitative Discipline (math statistics economics computer science physics engineering)
- Masters/Advanced degree in Quantitative Discipline (math statistics economics computer science physics engineering) preferred
- At least 18 years of age
- Legally authorized to work in the United States
Travel:
Travel Required (Yes/No): Yes
DOT Regulated:
DOT Regulated Position (Yes/No): No
Safety Sensitive Position (Yes/No): No
Base Pay Range: $121600 - $219400Corporate Bonus Target: 20%
The pay range above is the general base pay range for a successful candidate in the role. The successful candidates actual pay will be based on various factors such as work location qualifications and experience so the actual starting pay will vary within this range.
At T-Mobile employees in regular non-temporary roles are eligible for an annual bonus or periodic sales incentive or bonus based on their role. Most Corporate employees are eligible for a year-end bonus based on company and/or individual performance and which is set at a percentage of the employees eligible earnings in the prior year. Certain positions in Customer Care are eligible for monthly bonuses based on individual and/or team performance. To find the pay range for this role based on hiring location T-Mobile our benefits exemplify the spirit of One Team Together! A big part of how we care for one another is working to ensure our benefits evolve to meet the needs of our team members. Full and part-time employees have access to the same benefits when eligible. We cover all of the bases offering medical dental and vision insurance a flexible spending account 401(k) employee stock grants employee stock purchase plan paid time off and up to 12 paid holidays - which total about 4 weeks for new full-time employees and about 2.5 weeks for new part-time employees annually - paid parental and family leave family building benefits back-up care enhanced family support childcare subsidy tuition assistance college coaching short- and long-term disability voluntary AD&D coverage voluntary accident coverage voluntary life insurance voluntary disability insurance and voluntary long-term care insurance. We dont stop there - eligible employees can also receive mobile service & home internet discounts pet insurance and access to commuter and transit programs! To learn about T-Mobiles amazing benefits check out.Never stop growing!
As part of the T-Mobile team you know the Un-carrier doesnt have a corporate ladderits more like a jungle gym of possibilities! We love helping our employees grow in their careers because its that shared drive to aim high that drives our business and our culture forward. By applying for this career opportunity youre living our values while investing in your career growthand we applaud it. Youre unstoppable!
T-Mobile USA Inc. is an Equal Opportunity Employer. All decisions concerning the employment relationship will be made without regard to age race ethnicity color religion creed sex sexual orientation gender identity or expression national origin religious affiliation marital status citizenship status veteran status the presence of any physical or mental disability or any other status or characteristic protected by federal state or local law. Discrimination retaliation or harassment based upon any of these factors is wholly inconsistent with how we do business and will not be tolerated.
Talent comes in all forms at the Un-carrier. If you are an individual with a disability and need reasonable accommodation at any point in the application or interview process please let us know by emailing or calling 1-. Please note this contact channel is not a means to apply for or inquire about a position and we are unable to respond to non-accommodation related requests.
Required Experience:
Manager
Key Skills
- Adobe Analytics
- Data Analytics
- SQL
- Attribution Modeling
- Power BI
- R
- Regression Analysis
- Data Visualization
- Tableau
- Data Mining
- SAS
- Analytics
About Company
Grow Your Career. Grow With One Join Us #WeAreOne We are driven. We are family. We are One. When you join MobileOne, you join a team of friends who work as hard as they play. You’ll learn how to be a leader, make bank, and most importantly, have fun along the way. With over 200 […] ... View more
