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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-Mobile's 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
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