Senior Data Insights & Strategy Lead

T-Mobile

New York (NY)

On-site

USD 97,000 - 209,000

Full time

9 days ago
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Benefits offered by this job

Annual stock grant
Employee stock purchase plan
401(k)
Paid time off
12 paid holidays

Job summary

T-Mobile seeks a data analytics leader to deliver insights and support strategic decisions through advanced data analysis and measurement techniques. You will generate analyses, reports, and models while leading cross-functional collaboration to address complex measurement requests.

The role emphasizes statistical modeling, data storytelling, and executive communication to influence leaders on business actions and customer experience improvements.

Qualifications

  • Bachelor’s degree with 7+ years of work experience or advanced degree with 5+ years in data science/analytics.
  • 2+ years developing or validating advertising measurement solutions and experimental design.
  • Experience with SQL, Python or R for data analysis and modeling.
  • Proven ability to translate complex data into actionable insights.

Responsibilities

  • Provide insights and recommendations to optimize campaign performance and measurement quality.
  • Develop and maintain measurement frameworks, data solutions, and dashboards.
  • Apply causal inference and experimental design to measure effectiveness and lift.
  • Create executive-level presentations to communicate statistical findings to leadership.
  • Collaborate across teams to address complex measurement requests.

Skills

Data Analysis
Data Visualization
SQL
Python
R
Statistics
Causal Inference
Experiment Design
Stakeholder Management
Executive Presence
Data Storytelling
Go

Education

Bachelor's Degree in a quantitative field
Advanced degree in data science or related field

Tools

Tableau
Power BI

Job description

T-Mobile seeks a data analytics leader to deliver insights and support strategic decisions through advanced data analysis and measurement techniques. You will generate analyses, reports, and models while leading cross-functional collaboration to address complex measurement requests.

The role emphasizes statistical modeling, data storytelling, and executive communication to influence leaders on business actions and customer experience improvements.

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