Business Analysis Manager

T-Mobile•Bellevue, WA

1d•$77,900 - $140,500•Onsite

About The Position

This role supports strategic and operational decision-making through reporting coordination, collaborator engagement, and governance of analytics-ready data assets. It contributes to the development, review, and socialization of standardized reporting and analytics solutions that support media performance analysis, business reporting, and operational decision-making across the organization. The role collaborates with analytics, engineering, reporting, and business teams to help ensure data products and reporting solutions are aligned, accurate, and effectively adopted by collaborators. With a focus on supporting the Fiber product within the Broadband line of business, the position also partners across additional lines of business and brands to support broader organizational analytics initiatives. Success in this role is measured through effective coordination, reporting accuracy, collaborator engagement, and the ability to identify and resolve gaps impacting reporting and data alignment. The work helps improve operational visibility, reporting consistency, and data-driven decision-making through cross-functional collaboration and strong organizational support.

Requirements

Bachelor’s Degree plus 2-4 years of related work experience OR Advanced degree with 1-2 years of related experience (Required)
Acceptable areas of study include Business Analytics, Data Analytics, Information Systems, Marketing Analytics, Communications, similar business or quantitative fields, or equivalent practical experience (Required)
2-4 years working experience supporting reporting operations, business analysis, collaborator coordination, or analytics-related initiatives (Required)
1-2 years working experience with reporting and data visualization tools (Tableau, Power BI, Databricks dashboards, etc.) (Required)
1-2 years working experience using SQL and warehouse-based data environments, including basic queries, joins, data validation, and reporting support activities (Required)
Business Insight (Required)
Communication Skills – Written & Verbal (Required)
multi-functional Collaboration (Required)
Data Analysis & Validation (Required)
Dashboard & Reporting Tools (Required)
Documentation & Process Development (Required)
Organizational & Project Coordination Skills (Required)
Problem Solving & Critical Thinking (Required)
Collaborator Management (Required)
SQL & Data Warehouse Fundamentals (Required)
At least 18 years of age
Legally authorized to work in the United States

Nice To Haves

Working experience creating presentations, process documentation, instructional materials, or stakeholder-facing communications (Preferred)
Working experience with Databricks or cloud-based analytics platforms (Preferred)
Familiarity with AI-assisted productivity tools such as Claude, ChatGPT, or similar platforms (Preferred)
Marketing analytics, broadband, telecommunications, or related industry experience (Preferred)
Other Business Certification (Preferred)

Responsibilities

Support the review, coordination, and socialization of standardized analytics and reporting datasets (“gold layer” objects) across business and analytics teams
Partner with collaborators to improve understanding, adoption, and alignment of reporting and analytics solutions related to media engagement, delivery, and spend performance
Monitor data readiness, reporting accuracy, and alignment between reporting outputs and source systems; identify gaps and coordinate resolution efforts with appropriate teams
Assist with operational reporting activities, including manual report generation, data validation, and data loading processes within warehouse environments
Support taxonomy governance efforts through regular review, refinement, documentation, and coordination with business and technical collaborators
Develop and maintain documentation, instructional materials, process guides, and supporting reference materials for reporting and analytics solutions
Apply SQL and reporting tools to perform basic analysis, validation, reconciliation, and troubleshooting activities across datasets and reporting outputs
Work with dashboards and reporting tools, including Databricks and visualization platforms such as Tableau, to support monitoring and issue identification
Build collaborative relationships across business, analytics, and engineering teams through proactive communication and collaborator engagement
Support multiple concurrent projects and rapidly evolving priorities with strong organizational and time management skills
Research issues independently, identify potential solutions, and advance appropriately when needed
Learn and apply business terminology, marketing concepts, and operational processes to improve data interpretation and reporting accuracy
Responsible for additional duties/projects as assigned by management