T-Mobile

Sr Business Analysis Manager | Reverse Logistics (Returns, Repair, Liquidation)

T-Mobile$111K — $151K *
Business Services
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's Degree plus 7 years of experience or Advanced Degree with 5 years of experience in a quantitative field
  • 7-10 years of analytics experience using quantitative approaches
  • Proficiency in reporting and data visualization tools like Tableau and Power BI
  • Solid experience with SQL for analyzing complex datasets and knowledge of Python or R
  • Experience preferred in the telecommunications sector

Responsibilities

  • Provide insights and recommendations by collaborating with cross-functional teams
  • Develop and maintain data reporting solutions including dashboards and self-service tools
  • Apply analytical techniques to enhance decision-making and prioritize resources
  • Create executive-level presentations communicating complex analytical findings
  • Handle additional duties/projects as assigned by management

Benefits

  • Comprehensive medical, dental, and vision insurance
  • 401(k) with company match and employee stock grants
  • Paid time off and up to 12 paid holidays
  • Tuition assistance and college coaching services
  • Flexible spending account and access to childcare subsidies
  • Mobile service and home internet discounts
  • Additional perks like pet insurance and commuter programs
Full Job Description
*This role is based in Coppell, TX and includes a five day per week onsite requirement at our Distribution Center. Remote work is not available for this position.* Job Overview This role delivers insights and supports leaders in making strategic and operational decisions through advanced data analysis techniques. It primarily involves generating analysis, reporting, and recommendations using statistics, data science, and business intelligence tools. The role differentiates itself by leading collaborative efforts across multiple teams to address complex modeling and analysis requests. Success is measured by the quality of insights provided, effectiveness of communication, and impact on decision-making processes. The work influences organizational strategies and customer experiences by enabling data-driven improvements and informed business actions. Job Responsibilities: - Provide insights and recommendations that optimize experiences by collaborating with cross-functional teams across the organization - Develop and maintain data and reporting solutions including reports, dashboards, and self-service tools to support enterprise objectives - Apply analytical and modeling techniques to enhance decision-making and prioritize resources across various business options - Create and deliver executive-level presentations that clearly communicate complex analytical findings to influence leadership decisions - Also responsible for other duties/projects as assigned by business management as needed Education and Work Experience: - Bachelor's Degree plus 7 years of related work experience OR Advanced degree with 5 years of related experience (Required) - Acceptable areas of study include Data analysis, data science, decision science, similar quantitative fields or equivalent practical experience (Required) - 7-10 years Analytics experience solving analytical problems using quantitative approaches. Reporting & analyzing performance & data visualization (Tableau, Power BI, etc.) Advanced 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. (Required) - Telecommunications (Preferred) Knowledge, Skills and Abilities: - Communication Ability to manage relationships, 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. (Required) - Problem Solving (Required) - Data Analysis Exceptional at using wide ranging datasets to deliver broad analysis and insights to maximize value creation and return on investment. (Required) - Financial Modeling (Required) Licenses and Certifications: - 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 The base pay range for this position in Coppell, TX is $111,700 to $151,200. 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, https://paylookup.t-mobile.com/paylookup?reqID=REQ344887¶dox=1 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!

About T-Mobile

T-Mobile US, Inc. is a wireless company. As of December 31, 2016, the Company provided wireless communications services, including voice, messaging and data, to over 71 million customers in the postpaid, prepaid and wholesale markets. It provides services, devices and accessories across its brands, T-Mobile and MetroPCS. It provides wireless communication services through a range of service plan options. The Company offers a device trade-in program, Just Upgrade My Phone (JUMP!), which provides customers a specified-price trade-in credit and upgrade eligibility after approximately six months of service; Equipment Installment Plan (EIP), which is designed to provide financing to customers for the purchase of devices, and installment agreements for accessories; T-Mobile Tuesdays, which offers customers free stuff and access to various offers from brands; and T-Mobile ONE and Simple Choice plans.
Learn more about T-Mobile
Size
75,000 employees
Market Cap
$174.7 billion
Industry
Net Income
$3 billion
Founded
2002
5 Year Trend
+16.4%
Revenue
$68.3 billion
NASDAQ

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