Pay
$94.7K–$144K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 1,811 postings in the last year. Stated ranges, not salaries paid.
New York, New York
Live, first seen by us 62 days agoDOT Regulated: DOT Regulated Position (Yes/No): No Safety Sensitive Position (Yes/No): No Total Target Cash Earnings Opportunity: $116,040 - $209,280 National Base Pay Range: $96,700 - $174,400
Total Target Cash Earnings Opportunity: $116,040 - $209,280 National Base Pay Range: $96,700 - $174,400 The Total Target Cash Earnings Opportunity represents the expected total cash compensation for this role at target performance, combining base salary and annual incentive opportunity. Actual earnings may be higher or lower depending on individual performance and overall company results.Read the full posting
Employment type in the employer’s posting: Full timeFrom the employer’s posting
Legally authorized to work in the United States
Provide insights and recommendations to optimize campaign performance and measurement quality
Develop and maintain measurement frameworks, reports, dashboards, and self-service tools
Apply causal inference and experimental design to measure campaign effectiveness and incrementality
Create and deliver executive-level presentations on statistical findings and limitations
Provide insights and recommendations that optimize campaign performance and measurement quality
Develop and maintain measurement frameworks, data and reporting solutions, including analytical models, reports, dashboards, and self-service tools
Apply statistical, causal inference, experimental design, and modeling techniques to measure campaign effectiveness
Create and deliver executive-level presentations that clearly communicate complex statistical concepts, measurement limitations, and analytical findings
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
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
$94.7K–$144K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 1,811 postings in the last year. Stated ranges, not salaries paid.
Day 62
Up longer than most. Similar jobs usually come down between day 5 and day 41.
From 10,558 similar postings that came down. Coming down is not always a hire.
8 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- 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)
- 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)
- Causal Inference / Statistical Modeling (Required) - SQL Database Queries (Required) - Stakeholder Management (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
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We file this job under Analyst, by the work the posting describes.
Analysts answer business questions with data. They pull numbers with SQL, build reports and dashboards, and explain what changed and why to the people making decisions.
Most postings ask for SQL, spreadsheets, a dashboard tool such as Tableau or Power BI, and clear writing.
Unlike a data scientist, an analyst mostly explains what happened rather than building models that predict what will.
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 OverviewJob Responsibilities:
Education and Work Experience:
Knowledge, Skills and Abilities:
The Total Target Cash Earnings Opportunity represents the expected total cash compensation for this role at target performance, combining base salary and annual incentive opportunity. Actual earnings may be higher or lower depending on individual performance and overall company results.
The base pay range reflects the compensation component of this opportunity. The 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. To find the pay range for this role based on hiring location, https://paylookup.t-mobile.com/paylookup?reqID=REQ368079¶dox=1At T-Mobile, employees in regular, non-temporary roles are eligible for an annual bonus or periodic sales incentive or bonus, based on their role. Corporate employees are eligible for a year-end bonus based on individual and/or company 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. The incentive component included in the Total Target Cash Earnings Opportunity reflects target performance. Actual earnings included in the Total Target Cash Earnings Opportunity reflect target performance; actual payouts may vary.
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.
Selected passages from the saved posting. Check the full description for conditions and exceptions.
DOT Regulated: DOT Regulated Position (Yes/No): No Safety Sensitive Position (Yes/No): No Total Target Cash Earnings Opportunity: $116,040 - $209,280 National Base Pay Range: $96,700 - $174,400
Total Target Cash Earnings Opportunity: $116,040 - $209,280 National Base Pay Range: $96,700 - $174,400 The Total Target Cash Earnings Opportunity represents the expected total cash compensation for this role at target performance, combining base salary and annual incentive opportunity. Actual earnings may be higher or lower depending on individual performance and overall company results.
New York, New York
Working pattern and location restrictions need checking in the full posting.
- At least 18 years of age - Legally authorized to work in the United States Travel: Travel Required (Yes/No): No
More relevant text appears in the full description.