Associate Finance Analytics Analyst

Boeing•Tukwila, WA

10h

About The Position

The Boeing Company is currently seeking an Associate Finance Analytics Analyst to join the Finance Systems and Analytics (FS&A) team in Tukwila, WA . The candidate selected for this role will design, develop, and maintain advanced analytics solutions that deliver step-function business improvement. As a member of the Finance Analytics full‑stack development team, you will partner with expert Data Engineers, Business Intelligence (BI) Engineers, and Data Scientists to deliver cutting edge Analytics solutions for business customers across Finance. The ideal candidate will: Have a strong technical background in data analysis, data engineering, or advanced data visualization Demonstrate business domain acumen in Finance, Supply Chain, Operations, and/or Manufacturing Be able to effectively communicate complex technical information to non-technical stakeholders Understand the importance of collaborative coding, team coordination, and working together principles Understand and employ best practices for: data integrity, analysis, validation, and documentation

Requirements

Experience in Data Analytics, Data Engineering, and/or Advanced Data Visualization
Experience in SQL, R, and Python programming languages
Experience with statistical methods, risk analysis and its application to complex financial assessments
Experience using problem-solving skills to tackle evolving business challenges using data-driven approaches

Nice To Haves

Bachelor's Degree or higher in computer science, data science, and/or business analytics related concentration
Experience using advanced data engineering skills using a variety of extract, transform, load (ETL) tools and techniques
Experience connecting to relational databases in SQL Server, Teradata, Oracle, and/or Cloud
Experience with designing data visualizations through Tableau and/or web-hosted applications
Experience with code documentation and organization practices using Visual Studio (VS) Code, Gitlab, Git Pipelines, and Markdown

Responsibilities

Queries data and performs exploratory data analysis (EDA) on Financial Data Assets
Optimizes existing database objects and structures, including Extract Transform Load (ETL) routines, and automations
Identifies, analyzes and interprets trends or patterns in complex datasets
Develops and maintains relationships with customers, stakeholders, peers and partners across functions
Supports enterprise-wide projects to provide insight and drive efficiency in Finance