New

Senior Data Solutions Analysis Manager

T-MOBILE USA, Inc.
$96,700 - $174,400Corporate Bonus Target: 20%
life insurance, vision insurance, flexible benefit account, paid time off, paid holidays, tuition assistance, 401(k)
United States, Washington, Bellevue
12920 Southeast 38th Street (Show on map)
Feb 04, 2025
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. That's how we're UNSTOPPABLE for our employees! Advertising Solutions is T-Mobile's fast-growing advertising technology business. It leverages high-quality mobile data from the T-Mobile network that enables advertisers to build audience segments based on app ownership and usage insights. T-Mobile is bringing innovative solutions to the advertising space, making more channels and better data accessible to advertisers of all kinds. The Sr Data Solutions Analysis Manager delivers actionable insights and helps leaders throughout the T-Ads business to make critical strategic and operational decisions and craft the long-term vision of using data to build capabilities that empower advertising partners. The primary objective of the Sr Data Solutions Analysis Manager is to identify, describe and prioritize opportunities for extracting value from T-Mobile's first party data. They will be responsible for defining and crafting Proof of Concept tests in the advertising market. They build advertiser-centric recommendations advised by analysis and good business insight with the goal of building sustained partnership. They lead collaborative efforts with various T-Mobile and T-Ads teams including sales, privacy, product and marketing teams in a heavily matrixed environment to tackle complex advertiser challenges and build incremental revenue opportunities through data. This role is also responsible for insights, analysis, and reporting using various analytical techniques including statistics, data science, data mining, machine learning and can fluently navigate tools like Tableau and Snowflake. They are comfortable acting as an internal data SME and as an external advocate for T-Ads data assets, capabilities and solutions for advertisers. Job Responsibilities: Interact with various teams across T-Ads and T-Mobile to identify and leverage appropriate data-sets to provide insights, analysis and recommendations that deliver value to advertisers. Serve as a key point of contact in advising and developing data and measurement solutions to drive advertiser capabilities and measure performance, including reports, dashboards, visuals, and self-service environments Define product feature and campaign success metrics and benchmarks. Be responsible for and lead one or more proof-of-concept for new and emerging data-derived capabilities and solutions for advertisers inclusive of understanding markets. Apply data analytics and modeling capability to improve decision making across internal and external advertiser use cases. Present findings and recommendations for prioritization of resources to all levels of the organization. Construct executive-level presentations and present sophisticated analytical findings in clear, concise and decision-impacting manner. Possess the ability to influence leadership through fact-based analysis. Education: Bachelor's Degree Data analysis, data science, decision science, similar quantitative fields or equivalent practical experience (Required) Work Experience: proven track record in Analytics experience solving analytical problems using quantitative approaches Reporting & analyzing performance & data visualization (Tableau, Power BI, etc.): Sophisticated analytics, which includes SQL analysis of complex datasets, competitive analysis, quantitative analysis & research Experience with Python, R, Go or similar statistics or data science language preferred. Ability to be a phenomenal partner, influence and communicate complicated analysis, logic, and solutions in a clear and concise manner at the executive level and provide decision support, analysis and recommendations that help to drive effective execution of initiatives. Outstanding at using multifaceted datasets to deliver broad analysis and insights to maximize value creation and return on investment. * At least 18 years of age * Legally authorized to work in the United States Travel: Travel Required (Yes/No):No DOT Regulated: DOT Regulated Position (Yes/No):No Safety Sensitive Position (Yes/No):No Base Pay Range: $96,700 - $174,400 Corporate Bonus Target: 20% The pay range above is the general base pay range for a successful candidate in the role. The successful candidate's 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 employee's 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, click here. At 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 don't 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-Mobile's amazing benefits, check out www.t-mobilebenefits.com. Never stop growing! As part of the T-Mobile team, you know the Un-carrier doesn't have a corporate ladder-it's more like a jungle gym of possibilities! We love helping our employees grow in their careers, because it's that shared drive to aim high that drives our business and our culture forward. By applying for this career opportunity, you're living our values while investing in your career growth-and we applaud it. You're 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 ApplicantAccommodation@t-mobile.com or calling 1-844-873-9500. 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.