Job Description

Job Description:

• The typical day will be attending meetings, doing traceability, writing SQL code, doing data validations, requirements, and analysis
• Needs to have supply chain experience with a focus on the device side, and an understanding of data structures.
• Working knowledge of JIRA and agile methodologies

Role Summary

As a Data Analyst, you'll partner with technical and non-technical stakeholders to create actionable insights and deliver real business value through data. The ideal candidate will be proficient in data validation, quality assurance, and the T-Mobile Network and/or Device Supply Chain, with the ability to design data tests, identify inconsistencies, and ensure data quality across sources.

Key Responsibilities

• Data Management: Track requests, manage deliverables, identify data sources, and ensure secure access.
• Data Quality Improvement: Define standards for data collection, consistency, and automation; improve accuracy and usefulness.
• Gather complex data inputs from multiple sources, both internally and externally. Identify new data sources that will enhance business outcomes and support strategic and tactical objectives. Provide insight and guidance to stakeholders on the trends and drivers behind the results and prepare reports on findings.
• Assesses the needs of the business prioritizes projects, and drives new reporting requirements to completion. Work cross-functionally as needed to enable data architecture and solutions that best meet the analytics and reporting needs of the business. Drive clarity or requirements and ensure delivery meets agreed-upon requirements.

Technical Requirements

• Data Analysis: Proficiency in SQL and scripting (Python, R); experience with Power BI for data visualization.
• Data Validation: Skilled in designing data validation tests and maintaining data quality.
• ETL & Data Warehousing: Understanding of ETL processes, data transformation, and validation.

Additional Qualifications

• Strong analytical and problem-solving skills to perform root-cause analysis and align data to business needs.
• Strong understanding of Supply Chain Operations with the ability to link operational decisions/impacts to data insights and analysis.
• Excellent communication skills to collaborate with data engineers, product owners, and analysts for requirement validation and feedback.
• Join our team and make an impact by turning data into actionable insights!

Job Tags

Similar Jobs