The Broadband Business Intelligence team at T-Mobile is looking to solve business problems by partnering closely with the broadband marketing and commercial teams to provide key, actionable insights around the performance of the broadband business unit.
Requirements
- Programming expertise in Python and SQL
- 4 years with data scripting languages (e.g., SQL, Python, R)
- 4 years articulating and translating business questions and using statistical techniques to arrive at an answer using available data
- 4 years producing in data visualizations
- 4 years working with relational database using SQL
- 2 years in the telecom/broadband industry preferred
- Expert analytical, problem solving and critical reasoning skills
Responsibilities
- Extract, prepare and model large, sophisticated data sets using a combination of skills, including machine learning theory, mathematics, statistics, and programming.
- Deliver on-time quality analysis, interpretation, and synthesis of data into effective, concise, and actionable recommendations that enable intelligent decisioning for the company.
- Provide senior-level guidance and mentorship to the team, including reviewing projects, models, and code for peers in data science roles and those in analyst roles.
- Work with data engineering teams to implement and improve production-ready analytical datasets.
- Effectively communicate meaningful information and insights to business
- Lead the application of statistical methods to solve business problems
- Collaborate with a multi-disciplinary team of technical and non-technical business stakeholders on a wide range of challenges
Other
- Bachelor's Degree Quantitative Discipline (math, statistics, economics, computer science, physics, engineering, etc.). Master's/Advanced Degree preferred
- Strong communication skills, ability to work with cross functional teams
- At least 18 years of age
- Legally authorized to work in the United States
- Hybrid position required to be in-office at least 3 days a week
