Supply Chain Data Analyst

Boeing•Everett, WA

2d•$130,000 - $176,000

About The Position

Boeing Commercial Airplanes (BCA) is seeking a Supply Chain Data Analyst (Level 4) to join the Supply Chain Work Movement team in Everett, WA on first shift. This role will require strong analytical capabilities, data fluency, and technical acumen to drive insights and process improvements. You’ll leverage data visualization tools, SQL, and supply chain analytics to inform strategic decisions and optimize operational performance. We are seeking analytical thinkers who thrive on solving complex problems with data, enjoy building scalable solutions, and are comfortable working in fast-paced, cross-functional environments. We are committed to providing our team with equal opportunity for growth in a stable encouraging work environment. We encourage every teammate to feel empowered to bring their best through creativity, innovation, and diversity as this drives a positive culture through transparency, safety, quality, and respect. Above all, employees will be provided with the opportunity to seek, speak, and listen within the organization which they are encouraged to share externally with each Boeing customer to develop and build balanced and mutually beneficial work relationships.

Requirements

4+ years of experience in Supplier Management, Supply Chain, Procurement and/or strategic sourcing practices and processes
4+ years of experience in building and presenting plans or recommendations to executive leadership
2+ years of experience with data analytics tools such as Tableau, Power BI, or equivalent
2+ years of experience writing SQL queries or working with relational databases
2+ Experience using data to inform strategic decisions and process improvements

Nice To Haves

Bachelor’s Degree or Advanced Degree
7+ years of related work experience or an equivalent combination of education and experience (Higher education includes college, university, technical school, licensing/certification programs, etc.)
1+ years of manufacturing operations
Project Management Certification

Responsibilities

Serves as an integrated line of business team member ensuring that inventory, production, and integrated schedule information needs are understood, complete specifications are identified, and that appropriate analysis, research, report, or other support is identified to address those needs.
Analyzes and documents requirements through workshops, research, data gathering, and brainstorming activities.
Designs and documents customer reporting and analytic requests by defining, creating, evaluating, and selecting alternatives.
Transforms complex Business Intelligence requests, both internal and external, into useful products with actionable outcomes that utilize the most credible and efficient data sources.
Identifies and creates new data objects, reports, and charts.
Presents report results to Senior Management.
Identifies actionable issues through data interpretation and research.
Provides summary of trends, observations, and actionable items on complex reporting issues and development reports.
Applies advanced data analysis and statistical techniques to answer any number of complex data questions and initiatives.
Validates that output meets Business needs.
Partners with Work Movement Team & Directors to “dig deeper” into output and identifies areas of further analysis.
Utilizes a variety of software applications and data sources to develop Business Intelligence methodologies, analysis and KPIs.
Actively develops new tools and system enhancements, troubleshoots and solves data issues.
Seeks out, identifies, documents, and initiates resolutions to data quality issues that are discovered during report and analysis development.
Report KPIs and aggregate predictive analytics / trends from multiple data sources and scenarios.
Ability to go beyond basic data visualization to build robust, insightful reports (Pivot Tables, Stack Charts, S-Curves, Look-Ahead reports) while using conditional formatting and calculated field functions.
Knows how to merge, append, and transform data to build reports, while creating workspaces to share data / charts.
Ability to Connect / Transform data from multiple data sources; can change data types to match / compare and aggregate data
Ability to create data relationships and perform simple DAX (Data Analysis eXpressions) to create custom calculations, define business logic, and enable advanced, dynamic data analysis within data models.
Familiar with finding, manipulating and correcting errors in “M” Language using Advanced Query Editor.