
Senior Data Solutions Analysis Manager
NEW YORK, NYJob$97–174K/yrSeen 5 days agoSeen in employer's feed 5 days ago
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At a glance
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Job overview
This role delivers insights to support strategic and operational decisions through advanced data analysis and measurement. It leads collaborative work across teams on complex measurement, modeling, and analysis requests, developing scalable approaches and communicating findings to influence leadership decisions. The work focuses on campaign performance, measurement quality, and data-driven improvements to organizational strategies and customer experiences.
Skills & qualifications
Skills
Qualifications
Benefits
Full job description
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!Job Overview This role delivers insights and supports leaders in making strategic and operational decisions through advanced data analysis and measurement techniques. It primarily involves generating analysis, reporting, recommendations, and measurement methodologies using statistics, data science, and business intelligence tools. The role differentiates itself by leading collaborative efforts across multiple teams to address complex measurement, modeling, and analysis requests. Success is measured by the quality of insights provided, rigor and scalability of measurement approaches, 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 campaign performance and measurement quality by collaborating with cross-functional teams across the organization. * Develop and maintain measurement frameworks, data and reporting solutions, including 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, validate lift and incrementality methodologies, and troubleshoot anomalous, negative, or inconclusive results. * Create and deliver executive-level presentations that clearly communicate complex statistical concepts, measurement limitations, and 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) * 2+ years of experience developing, executing, or validating advertising measurement solutions, including incrementality, experimental design, or causal inference * Acceptable areas of study include Data analysis, data science, decision science, statistics, economics, similar quantitative fields or equivalent practical experience (Required) * 7-10 years Data Science and 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, statistical modeling, quantitative analysis & research * Experience with Python, R, Go or similar statistics or data science language (Required) * Advertising, ad tech, or retail media experience (Preferred)Knowledge, Skills and Abilities: * Business Acumen (Required) * Advanced Analytics (Required) * Data Analysis (Required) * Data Storytelling (Required) * Data Visualization (Required) * Executive Presence (Required) * Causal Inference / Statistical Modeling (Required) * SQL Database Queries (Required) * Stakeholder Management (Required) * Strategic Thinking (Required) * 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 Total Target Cash Earnings Opportunity: $116,040 - $209,280National Base Pay Range: $96,700 - $174,400The Total Target Cash Earnings Opportunity represents the expected total cash compensation for this
How this job compares
Set against the 4,830 open Data Scientist jobs on Olive Jobs, counted November 3, 2026.
- Pay
- This posting$97–174K/yr
- New York median$150–210K/yr363 salary ranges
- US median$135–213K/yr3,705 salary ranges
This range's midpoint, $136K, is 27% below the New York median midpoint ($185K) — in the lowest quarter of Data Scientist salary ranges in New York.
- Openings
- Olive Jobs lists 468 open Data Scientist jobs in New York and 4,830 across the US. 6% of them nationwide are listed as remote or flexible.
- Hiring the most in New York
- Capital One47 open
- PwC20 open
- Amazon14 open
- Experience
- This posting asks for at least 7 years of experience — more than three in four Data Scientist postings that state a minimum ask for (median 5 years, across 4,140 postings).
- Education
- 2,278 of the 4,830 open Data Scientist jobs (47%) ask for a bachelor's degree or higher.
Counted across the open, public US postings on Olive Jobs on November 3, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.
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