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Data Analyst IV

SWI
Bellevue, WA Full Time
POSTED ON 1/10/2025 CLOSED ON 2/6/2025

What are the responsibilities and job description for the Data Analyst IV position at SWI?

Job Details

Job Description:
The typical day will be attending meetings, doing traceability, writing SQL code, data validations, requirements, and analysis.
Needs to have supply chain experience focusing on the device side, and understanding of Telecom 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 Client 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,s, 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.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
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