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Sr Business Analysis Manager job in Bellevue at T-Mobile

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Sr Business Analysis Manager at T-Mobile

Sr Business Analysis Manager

T-Mobile Bellevue, WA Full Time
T-Mobile's Media Attribution is a high-profile team of thought leaders and problem solvers who apply rigorous analytics to assess and steer T-Mobile’s paid media spend, driving business growth through our media investments. We combine our ability to dive into the data with sharp business acumen. We understand the drivers of performance through every stage of the funnel and advise senior leadership on key media investment decisions. Are you ready to unleash your intellectual curiosity to write the next chapter of the Un-carrier?
We seek a curious, highly organized, self-motivated, detail-oriented, tool-savvy strategic thinker to support our TV measurement strategy and processes. This role requires strong foundational skills in data management and tools, willingness to learn new concepts in rapidly changing AdTech landscape, and familiarity with statistical concepts and approaches.

At T-Mobile, we strongly encourage everyone, including people of color, veterans, military spouses, individuals with disabilities, lesbian, gay, bisexual, transgender, queer and non-binary people, and parents to apply. We are an equal opportunity employer and welcome everyone to our team. If you need reasonable accommodation at any point in the application or interview process, please let us know by emailing [ Email address blocked ] - Click here to apply to Sr Business Analysis Manager or calling

In your application, please feel free to note which pronouns you use (For example- she/her/hers, he/him/his, they/them/theirs, etc
  • At least 18 years of age
  • Legally authorized to work in the United States
  • High School Diploma or GED
  • T-Mobile requires all employees in this position to be fully vaccinated for COVID-19 prior to starting work. The CDC defines "fully vaccinated" as two weeks after the second dose for Pfizer and Moderna, and two weeks after the single dose of Johnson & Johnson. T-Mobile will require proof of vaccination and consider requests for exemption from this requirement during the offer phase as a reasonable accommodation for medical reasons or sincerely held religious beliefs where the accommodation would not cause T-Mobile undue hardship or pose a direct threat to the health and safety of others.
You are equally adept and passionate in each of the three areas: technical, analytical, and communication. You have the technical skills to move, transform, and join datasets in big data environments. You have the analytical skills to know what to do with that data to turn it into insights. And you have the communication skills to create clean visuals and explain your work effectively to any audience.
To be successful in this role, you will need to be a self-starter, and someone who has a passion for learning and experimentation. You can extract the big picture from detailed analysis, formulate robust viewpoints, and prepare powerful visualizations and presentations. You have strong problem-solving skills with the ability to turn data into actionable insights. You are comfortable with ambiguity - exploring new data and coming up with ideas for improvement - because you provide clarity with data-driven analytics.
  • Bachelor’s degree in a quantitative field such as engineering, science, mathematics, information systems; MBA, MS, or PhD a plus
  • Minimum 5-7 years of experience in an analytics or technical role
  • Working knowledge of SQL: ability to effectively qc large data sets and perform complex joins
  • Command of visualization tools: Tableau or PowerBI
  • Knowledge of statistical methods and hypothesis testing
  • Attention to detail, yet also handle multiple workstreams concurrently and work in a fast-paced environment
  • Track record of learning and developing new analytical skills and technical knowledge in a dynamic setting
  • Strong communication skills to partner effectively with cross-functional teams and vendors, to explain abstract concepts succinctly to various partners, to communicate analytical learnings to partners and leadership, and to maintain organized documentation
This is the opportunity to do something special and be part of a company revolutionizing the wireless industry. And we couldn’t do it without someone like you. So, what do you say? Isn’t it time you explored what could become the career move of a lifetime? We invite you to apply today!
  • Competitive base pay plus annual bonus potential
  • Benefits for part-time and full-time associates
  • Medical, dental and vision benefits
  • Matching 401(k)
  • An annual Employee Stock Grant, and a purchase plan that gives you the chance to grab TMUS stock at a discount
  • Generous paid time-off programs
  • Phone service discounts
  • Education reimbursement
  • Serious growth potential for your career!
  • Understand internal and external systems, data integration pipelines, and measurement tools capabilities and features
  • Work directly with databases, spreadsheets, models, and visualization tools
  • Prototype ingestion, aggregation, and views of new data; collaborate and align with partners on what are the most useful views for actionable insights
  • Develop understanding of attribution model inputs, outputs, and mechanics to interpret and qc model results
  • Discuss and develop business outcome metrics
  • Question results and find meaningful insights; not just report numbers
  • Create views and formulate storylines to provide actionable recommendations to partners
  • Communicate insights with a purpose of increasing enterprise value by improving efficiency of media spend
  • Cultivate collaborative and positive cross-functional relationships with marketing teams, media agencies, advertising partners, and measurement/analytical vendors
  • Continually learn to stay ahead of ever-changing MarTech and AdTech platforms and capabilities
Equal Employment Opportunity

We take equal opportunity seriously—by choice.

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.

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