Senior Data Solutions Analysis Manager

T-Mobile • New York, NY

10d • $96,700 - $174,400

About The Position

This role delivers insights and supports leaders in making strategic and operational decisions through advanced data analysis and measurement techniques. It generates analysis, reporting, recommendations, and measurement methodologies using statistics, data science, and business intelligence tools. The role leads collaborative efforts across multiple teams to address complex measurement, modeling, and analysis requests. Success is measured by the quality of insights, rigor and scalability of measurement approaches, effectiveness of communication, and impact on decision-making. The work influences organizational strategies and customer experiences by enabling data-driven improvements and informed business actions.

The role provides insights and recommendations to optimize campaign performance and measurement quality; develops and maintains measurement frameworks and data and reporting solutions; applies statistical, causal inference, experimental design, and modeling techniques to assess campaign effectiveness and troubleshoot results; and communicates analytical findings to leaders. Other duties and projects may be assigned by business management.

Requirements

• Bachelor’s degree plus 7 years of related work experience, or an advanced degree with 5 years of related experience.
• At least 2 years of experience developing, executing, or validating advertising measurement solutions, including incrementality, experimental design, or causal inference.
• Relevant study in data analysis, data science, decision science, statistics, economics, a similar quantitative field, or equivalent practical experience.
• 7–10 years of data science and analytics experience solving analytical problems using quantitative approaches.
• Experience reporting and analyzing performance and creating data visualizations, using tools such as Tableau or Power BI.
• Advanced analytics experience, including SQL analysis of complex datasets, statistical modeling, quantitative analysis, and research.
• Experience with Python, R, Go, or a similar statistics or data science language.
• Business acumen.
• Advanced analytics.
• Data analysis.
• Data storytelling.
• Data visualization.
• Executive presence.
• Causal inference and statistical modeling.
• SQL database queries.
• Stakeholder management.
• Strategic thinking.
• At least 18 years of age.
• Legally authorized to work in the United States.

Nice To Haves

• Advertising, ad tech, or retail media experience.

Responsibilities

• Provide insights and recommendations that optimize campaign performance and measurement quality in collaboration with cross-functional teams.
• Develop and maintain measurement frameworks, data and reporting solutions, analytical models, reports, dashboards, and self-service tools to support enterprise objectives.
• Apply statistical, causal inference, experimental design, and modeling techniques to measure campaign effectiveness and validate lift and incrementality methodologies.
• Troubleshoot anomalous, negative, or inconclusive results.
• Create and deliver executive-level presentations that explain statistical concepts, measurement limitations, and analytical findings to influence leadership decisions.
• Perform other duties and projects as assigned by business management.

Benefits

• Competitive base salary and compensation package.
• Annual stock grant.
• Employee stock purchase plan.
• 401(k).
• Access to free, year-round money coaches.
• Annual bonus or periodic sales incentive or bonus, depending on role and eligibility.
• Medical insurance.
• Dental insurance.
• Vision insurance.
• Flexible spending account.
• Paid time off.
• Up to 12 paid holidays.
• 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 coverage.
• Voluntary AD&D coverage.
• Voluntary accident coverage.
• Voluntary life insurance.
• Voluntary disability insurance.
• Voluntary long-term care insurance.
• Mobile service and home internet discounts for eligible employees.
• Pet insurance for eligible employees.
• Commuter and transit programs for eligible employees.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior