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T-Ads Senior Analyst, Data

Pay
Multiple pay statements — pay source
Microsoft Certified: Power BI Data Analyst Associate Total Target Cash Earnings Opportunity: $102,695 - $205,390 National Base Pay Range: $89,300 - $178,600
Total Target Cash Earnings Opportunity: $102,695 - $205,390 National Base Pay Range: $89,300 - $178,600 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
Work setting
Not stated
Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting

What you’ll work on

Full posting
  • Analyze complex data sets to generate insights for business decisions

  • Define data requirements and prepare data for analysis with stakeholders

  • Assess and monitor data quality with data stewards and quality leads

  • Mentor junior data analysts and share knowledge within the team

  • Design and maintain scalable data frameworks and technical documentation

From the employer’s posting
Analyze and interpret complex data sets to generate actionable insights that support business decision-making processes
Collaborate with stakeholders to define data requirements, capture metadata, and prepare data for analysis ensuring accuracy and completeness
Assess and monitor data quality by partnering with data stewards and quality leads to implement remediation and governance practices
Provide guidance and mentorship to junior data analysts to develop skills and promote knowledge sharing within the team
Design and maintain scalable data frameworks and technical documentation to support data architecture and standardization

What you’ll bring

All qualifications

Core experience

  • Experience in data identification, querying, cleaning, wrangling, checking quality, working with common relational and non-relational databases in big data environments on both on- prem and cloud such as Azure, AWS and Google Cloud.
  • Python (Programming Language)
  • Experience articulating and translating business questions and using statistical techniques to arrive at an answer using data
  • Experience writing and speaking about technical concepts to business, technical, and lay audiences and giving data-driven presentations
  • Experience working with relational databases using SQL
  • Experience with data visualization tools such as Power BI, Tableau etc.

Preferred experience

  • Experience with big data architecture and pipeline, such as Hadoop, Hive, Spark, and Kafka is a plus
Qualification wording
Experience in data identification, querying, cleaning, wrangling, checking quality, working with common relational and non-relational databases in big data environments on both on- prem and cloud such as Azure, AWS and Google Cloud.
Python (Programming Language)
Experience articulating and translating business questions and using statistical techniques to arrive at an answer using data
Experience writing and speaking about technical concepts to business, technical, and lay audiences and giving data-driven presentations
Experience working with relational databases using SQL
Experience with data visualization tools such as Power BI, Tableau etc.
Experience with big data architecture and pipeline, such as Hadoop, Hive, Spark, and Kafka is a plus
Education & alternatives
Acceptable Equivalent Experience Bachelor's Degree plus 5 years of related work experience OR Advanced degree with 3 years of related experience
Apply at T-Mobile US

Posting record

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Actively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.

Status in our records
Live
First seen by us
Nov 7, 2026today
Recorded sightings
1

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Pay

$94.8K–$145K is typical

The middle half of what similar US postings state. This one doesn’t list pay.

From 1,890 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 0

Early. Similar jobs usually come down between day 5 and day 41.

At T-Mobile US, jobs usually come down by about day 11.

From 11,598 similar postings that came down, and 55 of T-Mobile US’s. Coming down is not always a hire.

T-Mobile US is hiring

11 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Analyst hiring is picking up
  • Takes jobs down quickly
Hiring record

See how this role fits your experience

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.

  • Python
  • SQL
  • AWS
  • Azure
  • Hadoop
  • Hive
  • Kafka
  • Power BI
  • Spark
  • Tableau
  • GCP
Where the posting names them
Microsoft Power Business Intelligence (BI) Python (Programming Language) Quality Assurance (QA)
4-7 years Experience working with relational databases using SQL 4-7 years
Reference Data SQL Databases Tableau (Software)
4-7 years Experience in data identification, querying, cleaning, wrangling, checking quality, working with common relational and non-relational databases in big data environments on both on- prem and cloud such as Azure, AWS and Google Cloud. 4-7 years
2-4 years Experience with big data architecture and pipeline, such as Hadoop, Hive, Spark, and Kafka is a plus Skills:
4-7 years Experience with data visualization tools such as Power BI, Tableau etc. 2-4 years
CompTIA Data Analytics Plus certification Microsoft Certified: Power BI Data Analyst Associate Total Target Cash Earnings Opportunity: $102,695 - $205,390
SQL Databases Tableau (Software) License/Certification

Your next step

Complete your application on tmobile.wd1.myworkdayjobs.com. The employer’s form will show what is required.

Applying through Workday

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  • Your application status lives in that employer’s Candidate Home, under the same sign-in.

Already applied? Track this application

About T-Mobile US

People
About 69,772 in 2024.Benefit plan filings (Form 5500)
Company
Listed as TMUS.
H-1B visas
131 approved for new hires in fiscal 2025.US Citizenship and Immigration Services
Layoff notices
Notices this year and last cover 137 people. The latest was filed April 14, 2026.State WARN notices

Demand for Analyst roles

New Analyst postings at the employers we follow are up 19% over the last 5 weeks compared with the 5 before.

Weekly new Analyst postings at the same employers, from the week of August 17 to the week of October 26. The fewest in a week was 966, the most 1,389, and the latest week had 1,357.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 5 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

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.

Job description

View original posting ↗

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!

This role is essential for transforming business requirements into actionable data insights that support organizational decision-making processes. It involves analyzing complex data sets, managing data lifecycle activities, and producing reports to inform business strategies. The role requires collaboration with various stakeholders to ensure data accuracy and relevance while mentoring junior analysts. Success is measured by the quality and impact of data analysis, effective communication of findings, and contribution to data governance. The work directly influences business outcomes by providing data-driven recommendations and fostering data literacy across the organization.

Analyze and interpret complex data sets to generate actionable insights that support business decision-making processes


Collaborate with stakeholders to define data requirements, capture metadata, and prepare data for analysis ensuring accuracy and completeness


Assess and monitor data quality by partnering with data stewards and quality leads to implement remediation and governance practices


Provide guidance and mentorship to junior data analysts to develop skills and promote knowledge sharing within the team


Design and maintain scalable data frameworks and technical documentation to support data architecture and standardization


Also responsible for other duties/projects as assigned by business management as needed

 

Education Level

Acceptable Equivalent Experience

Bachelor's Degree

plus 5 years of related work experience OR Advanced degree with 3 years of related experience


 

Experience:


4-7 years

Experience in data identification, querying, cleaning, wrangling, checking quality, working with common relational and non-relational databases in big data environments on both on- prem and cloud such as Azure, AWS and Google Cloud.

 

4-7 years

Experience articulating and translating business questions and using statistical techniques to arrive at an answer using data

 

4-7 years

Experience writing and speaking about technical concepts to business, technical, and lay audiences and giving data-driven presentations

 

4-7 years

Experience working with relational databases using SQL

 

4-7 years

Experience with data visualization tools such as Power BI, Tableau etc.

 

2-4 years

Experience with big data architecture and pipeline, such as Hadoop, Hive, Spark, and Kafka is a plus


Skills:


AtTask

Business Insights

Business Intelligence Software

Business Requirements Analysis

Collaboration

DAX Language

Dashboard Development

Data Analysis

Data Integration

Data Integrity

Data Lake

Data Management

Data Modeling

Data Operations

Data Quality Assessments

Data Science

Data Visualization

Data Warehousing (DW)

Data-Driven Decision Making

Master Data

Microsoft Power Business Intelligence (BI)

Python (Programming Language)

Quality Assurance (QA)

Reference Data

SQL Databases

Tableau (Software)

 

License/Certification

 

Certified Analytics Professional (CAP)

SnowPro Advanced: Data Analyst

CompTIA Data Analytics Plus certification

Microsoft Certified: Power BI Data Analyst Associate

Total Target Cash Earnings Opportunity: $102,695 - $205,390

National Base Pay Range: $89,300 - $178,600

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=REQ373768&paradox=1

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. 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.

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!

 

T-Mobile USA, Inc. is an Equal Opportunity Employer. All decisions concerning the employment relationship will be made without regard to age, race, ethnicity, color, religion, creed, sex, sexual orientation, gender identity or expression, genetic information, national origin, religious affiliation, marital status, citizenship status, veteran status, the presence of any physical or mental disability, or any other status or characteristic protected by federal, state, or local law. Discrimination, retaliation or harassment based upon any of these factors is wholly inconsistent with how we do business and will not be tolerated.

 

Talent comes in all forms at the Un-carrier. If you are an individual with a disability and need reasonable accommodation at any point in the application or interview process, please let us know by emailing ApplicantAccommodation@t-mobile.com or calling 1-844-873-9500. Please note, this contact channel is not a means to apply for or inquire about a position and we are unable to respond to non-accommodation related requests.
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Pay
Microsoft Certified: Power BI Data Analyst Associate Total Target Cash Earnings Opportunity: $102,695 - $205,390 National Base Pay Range: $89,300 - $178,600
More source context
Total Target Cash Earnings Opportunity: $102,695 - $205,390 National Base Pay Range: $89,300 - $178,600 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.
Location & working pattern

New York, New York

Working pattern and location restrictions need checking in the full posting.

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