Sr Business Analysis Manager - Marketing
T-MOBILE USA, Inc., Factoria, WA, United States
Sr Business Analysis Manager - Marketing
$96,700 - $174,400 Corporate Bonus Target: 20%
life insurance, vision insurance, flexible benefit account, paid time off, paid holidays, tuition assistance, 401(k)
At T-Mobile, the Sr Business Analysis Manager guides the business through analysis of advanced quantitative and qualitative data and helps product marketing leaders make critical strategic and operational decisions.
This role requires the creation of customer‑centric solutions driven by data science, data mining, business intelligence, and effective communication. It leads the design of reporting structures and interfaces, presents insights in creative visualizations, and drives standardized reporting for various teams.
Job Responsibilities
Support analytic needs using data from dashboards, call centers, SAP, Business Objects, etc.
Create holistic dashboards from multiple data sources for senior management presentations.
Drive core insights and provide analysis and recommendations to business owners.
Present analysis & strategies to senior management verbally and in written form.
Conduct competitive analysis to inform offers & processes.
Participate early in enterprise projects to define reporting needs and incorporate them into system design.
Respond to ad‑hoc reporting requests and assignments.
Perform other duties/projects as assigned.
Education and Work Experience
Bachelor’s Degree in Data Analysis, Data Science, Decision Science, Statistics or a similar quantitative field (Required).
Master’s or Advanced Degree (Preferred).
7‑10 years of experience with Business Intelligence tools (e.g., Business Objects, Cognos, Hyperion). (Required).
7‑10 years of experience in reporting and data visualization (Tableau, Power BI, etc.). (Required).
7‑10 years of experience in advanced analytics including SQL/ETL, complex dataset analysis, competitive analysis, quantitative analysis & research. (Required).
7‑10 years of experience with Python, R, Go or similar data science language (Required).
Telecommunications experience (Preferred).
Knowledge, Skills and Abilities
Data Analysis: Exceptional ability to use broad datasets for insights and maximize ROI. (Required)
Expertise in technical tools (SQL, automation, report/metric). (Required)
Financial Modelling: Experience with forecasting, revenue analysis, and cost‑benefit assessments. (Required)
Communication: Ability to manage relationships, influence decision making, and provide clear recommendations. (Required)
Problem Solving: Strong analytical skills to develop data‑driven solutions. (Required)
At least 18 years of age.
Legally authorized to work in the United States.
Travel
Travel Required (No)
DOT Regulated
DOT Regulated Position (No)
Safety Sensitive Position (No)
We are an Equal Opportunity Employer. All decisions concerning the employment relationship shall be made without regard to age, race, ethnicity, color, religion, creed, sex, sexual orientation, gender identity or expression, national origin, religious affiliation, marital status, citizenship status, veteran status, presence of any physical or mental disability, or any other status or characteristic protected by law. Discrimination, retaliation or harassment based upon any of these factors is wholly inconsistent with how we do business and will not be tolerated.
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$96,700 - $174,400 Corporate Bonus Target: 20%
life insurance, vision insurance, flexible benefit account, paid time off, paid holidays, tuition assistance, 401(k)
At T-Mobile, the Sr Business Analysis Manager guides the business through analysis of advanced quantitative and qualitative data and helps product marketing leaders make critical strategic and operational decisions.
This role requires the creation of customer‑centric solutions driven by data science, data mining, business intelligence, and effective communication. It leads the design of reporting structures and interfaces, presents insights in creative visualizations, and drives standardized reporting for various teams.
Job Responsibilities
Support analytic needs using data from dashboards, call centers, SAP, Business Objects, etc.
Create holistic dashboards from multiple data sources for senior management presentations.
Drive core insights and provide analysis and recommendations to business owners.
Present analysis & strategies to senior management verbally and in written form.
Conduct competitive analysis to inform offers & processes.
Participate early in enterprise projects to define reporting needs and incorporate them into system design.
Respond to ad‑hoc reporting requests and assignments.
Perform other duties/projects as assigned.
Education and Work Experience
Bachelor’s Degree in Data Analysis, Data Science, Decision Science, Statistics or a similar quantitative field (Required).
Master’s or Advanced Degree (Preferred).
7‑10 years of experience with Business Intelligence tools (e.g., Business Objects, Cognos, Hyperion). (Required).
7‑10 years of experience in reporting and data visualization (Tableau, Power BI, etc.). (Required).
7‑10 years of experience in advanced analytics including SQL/ETL, complex dataset analysis, competitive analysis, quantitative analysis & research. (Required).
7‑10 years of experience with Python, R, Go or similar data science language (Required).
Telecommunications experience (Preferred).
Knowledge, Skills and Abilities
Data Analysis: Exceptional ability to use broad datasets for insights and maximize ROI. (Required)
Expertise in technical tools (SQL, automation, report/metric). (Required)
Financial Modelling: Experience with forecasting, revenue analysis, and cost‑benefit assessments. (Required)
Communication: Ability to manage relationships, influence decision making, and provide clear recommendations. (Required)
Problem Solving: Strong analytical skills to develop data‑driven solutions. (Required)
At least 18 years of age.
Legally authorized to work in the United States.
Travel
Travel Required (No)
DOT Regulated
DOT Regulated Position (No)
Safety Sensitive Position (No)
We are an Equal Opportunity Employer. All decisions concerning the employment relationship shall be made without regard to age, race, ethnicity, color, religion, creed, sex, sexual orientation, gender identity or expression, national origin, religious affiliation, marital status, citizenship status, veteran status, presence of any physical or mental disability, or any other status or characteristic protected by law. Discrimination, retaliation or harassment based upon any of these factors is wholly inconsistent with how we do business and will not be tolerated.
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