Job Details

ID #52138637
Estado Washington
Ciudad Renton
Full-time
Salario USD TBD TBD
Fuente The Boeing Company
Showed 2024-07-20
Fecha 2024-07-21
Fecha tope 2024-09-19
Categoría Etcétera
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Associate Data Analytics Analyst

Washington, Renton, 98055 Renton USA
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Job DescriptionAt Boeing, we innovate and collaborate to make the world a better place. From the seabed to outer space, you can contribute to work that matters with a company where diversity, equity and inclusion are shared values. We’re committed to fostering an environment for every teammate that’s welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us.Join our dynamic and innovative Data Science and Analytics (DS&A) team within the Finance Data Analytics and Business Intelligence (FinDABI) organization! We are currently seeing an Associate Data Analytics Analyst to join us in the vibrant Puget Sound Region ( Renton or Everett, WA ). In this role, you will be crucial in building the next generation of Financial Analytics solutions for our Supply Chain Cost Recovery partners. Get ready to dive into the exciting world of data and help us create cutting-edge cost-recovery automation tools and data infrastructure.If you are ready to embark on an exciting journey in data science and analytics, join us in shaping the future of Financial Analytics solutions.The ideal candidate will:

Have a solid technical background in data analysis, data engineering, or advanced data visualization

Demonstrate domain acumen in Supply Chain Data Analysis, Financial Cost Recovery, and/or Operations

Have the ability to convey 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

Position Responsibilities:

Queries data and performs exploratory data analysis (EDA) on Supply Chain Cost Recovery Data Assets

Optimizes existing database objects and structures, including Extract, Transform, and Load (ETL) routines and automatons

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

This position is hybrid. This means that the selected candidate will be required to perform some work onsite at one of the listed location options. This is at the hiring team’s discretion and could potentially change in the future.This position must meet export control compliance requirements. To meet export control compliance requirements, a “U.S. Person” as defined by 22 C.F.R. §120.15 is required. “U.S. Person” includes U.S. Citizen, lawful permanent resident, refugee, or asylee.Basic Qualifications (Required Skills/Experience):

Experience in Data Analytics, Data Engineering, and/or Advanced Data Visualization

Experience in Standard Query Language (SQL )

Experience in Python programming languages

Preferred Qualifications (Desired Skills/Experience):

Bachelor's degree in computer science, business analytics, and/or finance analytics related concentration

Knowledge in statistical methods, risk analysis and its application to complex financial assessments

Advanced data engineering skills using a variety of ETL tools and techniques

Familiarity connecting to relational databases in SQL Server, Teradata, Oracle, and/or Cloud

Familiarity with designing for data visualizations through Tableau and/or web-hosted applications

Strong code documentation and organization practices using VS Code, Gitlab, Git Pipelines, and Markdown

Problem-solving skills to tackle evolving business challenges using data-driven approaches

Typical Education/Experience:Education/experience typically acquired through advanced education (e.g. Bachelor) and typically 3 or more years' related work experience or an equivalent combination of education and experience (e.g. Master+1 years' related work experience, 7 years' related work experience, etc.).Relocation:Relocation assistance is not a negotiable benefit for this position. Candidates must live in the immediate area or relocate at their own expense.Drug Free Workplace:Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies .Shift Work:This position is for 1st shift.At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities.The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work.The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements.Pay is based upon candidate experience and qualifications, as well as market and business considerations.Summary pay range: 75,650 – $84,000Applications for this position will be accepted through July 23, 2024.Export Control Requirements: U.S. Government Export Control Status: This position must meet export control compliance requirements. To meet export control compliance requirements, a “U.S. Person” as defined by 22 C.F.R. §120.15 is required.“U.S. Person” includes U.S. Citizen, lawful permanent resident, refugee, or asylee.Export Control Details: US based job, US Person requiredEqual Opportunity Employer:Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.

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