Business Analysis Manager – Capital Planning & Execution
| Company | T-Mobile |
|---|---|
| Location | Frisco, TX, USA, Reston, VA, USA, New York, NY, USA, Bellevue, WA, USA, Overland Park, KS, USA |
| Salary | $77900 – $140500 |
| Type | Full-Time |
| Degrees | Bachelor’s |
| Experience Level | Mid Level, Senior |
Requirements
- Bachelor’s Degree in Data analysis, data science, similar quantitative fields or equivalent practical experience (Required)
- 4-7 years Working experience solving analytical problems using quantitative approaches (Required)
- 4-7 years Working experience reporting and analyzing performance & data visualization (Tableau, Power BI, etc.) (Required)
- 4-7 years Working experience in advanced analytics, which includes SQL analysis of complex datasets, competitive analysis, quantitative analysis & research (Required)
- Data Reconciliation & Analysis (Required)
- Problem Solving (Required)
- Communication & Process Documentation (Required)
- Financial Modeling (Required)
Responsibilities
- Perform continuous technical portfolio backlog analysis, understanding execution efficacy and key drivers of performance e.g. development status (utilizing systems including Jira, Orbit, and FIT), value creation, return on investment. Effectively communicate performance to channel leaders, and identify risks and opportunities.
- Partner with Channel Management, Sales, and Marketing to steer investments to drive value and margin performance in the channel.
- Partner with channel leadership to execute key operational initiatives. Work closely with internal clients to understand business issues, and incorporate them into business and financial models.
- Develop comprehensive financial models to aid in decision making and evaluation of initiatives, including business case applications, scenarios, and sensitivity analyses across a range of options. Perform post-mortem analyses to determine effectiveness of key investment decisions including post-launch metrics.
- Create executive-level presentations and present complex analytical findings in a clear and concise manner. Possess the ability to influence leadership through fact-based analyses.
- Demonstrate strong competency and comfort working with and analyzing large sets of data and analyzing business cases, long-range planning and financial models. Perform data mining as needed to support analyses and drive key insights.
- Also responsible for other Duties/Projects as assigned by business management as needed.
Preferred Qualifications
- Working experience with Python, R, Go or similar statistics or data science language preferred. (Preferred)
- Telecommunications (Preferred)
- Other Business Certification (Preferred)