Data Analyst - Policy Strategy & Analytics, Government Affairs

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Are you looking for a work environment which encourages teamwork and where you are respected, supported, challenged, and can grow and advance your career? If your answer is “yes,” you should join T-Mobile’s All-Star Legal Team!

The Policy Strategy & Analytics team is hiring a Data Analyst to turn complex data into clear, actionable insights. You’ll partner with data scientists and data engineers across T-Mobile to aid in the company’s advocacy to government audiences. This is a hands-on role for someone who can translate policy and business needs into understandable metrics, sharp visuals, and persuasive recommendations.

What you’ll do in your role.

• Frame business and policy questions, define data requirements, and write great SQL to pull exactly what’s needed from Snowflake.
• Use statistical techniques to find trends, quantify impact, and separate signal from noise; write short, executive-ready takeaways that drive decisions.
• Create clean, reliable dashboards and one-pagers (Power BI) and lightweight prototypes/notebooks in Databricks for fast iteration.
• Triage and execute requests across multiple teams; set expectations; ship analyses that are right, readable, and on time.
• Profile, validate, and document data; work with data engineers on rules, remediation, and source-of-truth alignment.
• Snowflake + Databricks + Azure Blob; version with GitLab; diagram flows in Lucid; use AI models to speed exploration, QA, and first-drafts.
• Run exploratory analyses to surface trends and insights that guide action.
• Set up data-quality checks so leaders can trust the insights.
• Present findings to senior audiences with clarity and confidence.

The experience you’ll bring:

• 2–4 years doing hands-on data analysis in SQL-driven environments.
• SQL fluency with relational data; comfort joining large, messy tables and optimizing queries.
• Visualization skills in Power BI; able to design executive-ready dashboards.
• Applied stats (e.g., trend analysis, segmentation, basic inference) and strong data storytelling.
• Python in notebooks (Databricks preferred) for wrangling, analysis, and reproducibility.
• Cloud data familiarity (Azure/Snowflake/Databricks).
• Clear writing and presenting to technical and non-technical audiences.
• Agile habits and strong organization in a fast, cross-functional setting.

Preferred:

• Telecom or public-sector exposure
• Geospatial awareness (QGIS)
• Prompt engineering/AI-assisted analysis
• Any of: CAP, Microsoft Power BI Data Analyst, or SnowPro Advanced: Data Analyst.

How you’ll succeed here:

• You bias toward understandable metrics and crisp narratives that help leaders act.
• You sweat the data details, and you know when “good enough” is the right call.
• You enjoy context switching and can move from quick ad-hoc asks to short, focused projects.
• You’re team-oriented, partnering with data scientists and data engineers so you can maximize analytic output.

• At least 18 years of age
• Legally authorized to work in the United States

Travel:
Travel Required (Yes/No): Yes

DOT Regulated:
DOT Regulated Position (Yes/No): No
Safety Sensitive Position (Yes/No): No

Base Pay Range: $68,000 - $122,700

Corporate Bonus Target: 10%

The pay range above is the general base pay range for a successful candidate in the role. The successful 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.

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. Most Corporate employees are eligible for a year-end bonus based on company and/or individual 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. To find the pay range for this role based on hiring location, https://paylookup.t-mobile.com/paylookup?reqID=REQ338730&