Sr. Business Analysis Manager - Media Data Analytics & Capabilities (Site Metrics)

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Job Overview
Become a part of our Data Analytics and Capabilities team under Media Analytics at T-Mobile! Media Analytics is a dynamic group providing vision and direction to take the Un-carrier to the next level. We thrive in providing meticulous analytics to assess and steer media spend, driving growth. We dive deep into the data with sharp discernment - understanding the drivers of performance through every stage of the funnel and influencing senior leadership on key media investment decisions. We're ready to ignite your intellectual curiosity to write the next chapter of the Un-carrier. Join us to make it happen!

We are seeking a meticulous, logical, data-business-and-tech-savvy strategic problem solver with a natural curiosity to explore, understand, and command our fragmented media data ecosystems - with a focus on owned-media digital metrics to support paid media optimization, attribution and analytical projects. Our team will rely heavily on you to think on your feet and thoroughly vet how our foundational data elements are set up.

The ideal candidate is a meticulous, tech-savvy, strategic problem solver with a natural curiosity to explore, understand, and command our fragmented media data ecosystems. They will think on their feet and thoroughly vet how our foundational data elements are set up, create customer-centric recommendations informed by analysis, good business insight, and partner with the business and tech partners to drive improvements in a matrixed environment through creativity and effective communication. They will lead collaborative efforts with various teams including marketing, IT, and platform teams on complex data integrations, and lead the design and development of dataset structures & interfaces. Comfortable acting as an internal data SME, they know where datasets are that will answer business questions, are adept at using various software and finding solutions.

Job Responsibilities:

• Collaborate with internal team members and stakeholders as a SME to determine business requirements on digital metrics, combining the mindset of a business analyst, data analyst, and engineer. Advise on data availability and quality based on technical or real-life limitations, level of effort (LOE), consistency of definitions, and anticipate data utilization implications in media platforms.
• Partner with technology teams on implementation, troubleshooting, and quality assurance (QA). Understand communication best practices, including providing context for each requirement, consolidating information, prioritization, short-and-long-term planning, and establishing timelines.
• Configure platforms for metrics collection (which will involve working new and existing platforms and require exploration on configuration options that aligns with Media Analytics' goals), considering implications across teams in terms of day-to-day operations, automation, and analytical projects. Assess how metrics are configured across platforms and environments, where definitions and implications may differ due to data processing, and evaluate their impacts on projects and utilization.
• Manage stakeholder relationships, including internal/external teams, vendors, and agency partners. Set reasonable expectations on metrics, roles/responsibilities, and timelines. Create tools and dashboards (e.g. documentation, processes, training, visualization in web analytics tool or cross-platform data environment, etc.) for self-service while maintaining visibility on utilization, lead troubleshooting and impact assessments, provide guidance as needed, and drive governance while maintaining partnerships and goodwill.
• Adopt a "trust but verify" attitude and enable others to do the same by being ready to show your work" and how certain conclusions or recommendations are formed
• Maintain data health, readiness and quality, balancing business and technical considerations to determine what is good enough (by use case) versus what needs to be addressed; determine business impact and next steps
• Responsible for other duties/projects as assigned by management. Ensure alignment with the manager's approach and direction, seek guidance and input. Be a creative problem solver to develop future-proof solutions to fill capability gaps, and be sensitive to privacy, compliance, and governance practices.

Education:

• Bachelor's degree required: in a quantitative field such as engineering, science, mathematics, information systems. Masters or PhD a plus

Qualifications:

• Experience: Minimum 5 years, 10 years preferred, in hands-on analytics or technical role, involving data requirements communication, solutioning, and multi-source data analysis.
• Web Analytics Proficiency: Advanced skills in platforms like Adobe Analytics or Google Analytics, with knowledge of digital data availability and data capture practices. Front-end web development knowledge (HTML, JavaScript) is a plus.
• Data Analysis Skills: Advanced proficiency in data analysis, troubleshooting, and end-to-end data management. Familiarity with scripting languages (SQL, Python), Excel, and visualization tools (Tableau, PowerBI) is a plus.
• Attention to Detail and Prioritization: Meticulous attention to detail while balancing multiple workstreams in a fast-paced environment.
• Communication and Influence: Ability to maintain relationships, influence, and communicate complex analysis and solutions clearly at the executive level, while also investigating and discussing technical details with analysts and engineers.
• Continuous Learning: Ability to develop new analytical skills and technical knowledge in a rapidly evolving landscape.
• Solid Communication Skills: Partner effectively with teams and vendors, explain abstract concepts succinctly, adapt language to different audiences, minimize confusion or miscommunication, and maintain organized documentation.
• Independent Work: Ability to work independently with limited structure, while taking direction and feedback from the manager, recognizing opportunities, and prioritizing based on broader business goals.
• Preferred Experience: Experience with paid digital media (Display, Video, OTT, Social, Search), PII-based communication channels, AdTech (DMPs, DSPs, Ad Servers), website tagging/pixels, media campaign operations, and digital tracking mechanics.

#Li-Corporate

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 .

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.

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