Experienced Finance Data Analyst

Boeing; Tukwila (WA); On-site; USD 85,000 - 105,000; Full time

Benefits offered by this job

Competitive base pay

Variable compensation opportunities

Comprehensive benefits package

Job summary

A leading aerospace company in Tukwila, WA is seeking an Experienced Finance Data Analyst to develop and enhance information pipelines. The ideal candidate will have a Bachelor's degree, over 3 years of relevant experience in data analytics, and proficiency in SQL and Python. Competitive compensation and a comprehensive benefits package are offered, but relocation assistance is not available.

Qualifications

• 3+ years of experience with database platforms.
• 3+ years of experience in Data Analytics or Finance.

Responsibilities

• Develop and enhance information pipelines for insights.
• Monitor data integrity and quality control.
• Create data collection frameworks for structured and unstructured data.

Skills

Data analytics

SQL

Python

R

Bash scripting

Education

Bachelor's Degree

Tools

Microsoft SQL Server

Teradata Database

Oracle Database

Job description

Overview

Experienced Finance Data Analyst role at Boeing – Tukwila, WA. Boeing is committed to fostering an environment that’s welcoming, respectful and inclusive, with opportunities for professional growth.

Responsibilities

• Developing, governing, and enhancing information pipelines and databases to provide actionable insights
• Monitoring and performing quality control actions related to data integrity and business information
• Creating data collection frameworks for structured and unstructured data and solving complex data problems
• Managing project tasks related to data integration and providing end-user support, including training and issue resolution
• Building complex, repeatable data pipelines across multi- and hybrid-cloud environments, leveraging automation for scalability and efficiency
• Integrating company data security and access requirements policies into data pipelining solutions
• Participating in gated life-cycle software development process to mature solutions from development through production maturity phases
• Demonstrating functional capabilities in relational (cloud and on-premise) and non-relational database platforms
• Working with proficiency in software programming languages including SQL, Python, R and Bash scripting
• Collaborating with cross-functional or cross-organizational finance teams to develop and implement plans, schedules, or analytic solutions
• Communicating complex concepts clearly and effectively to technical and non-technical stakeholders
• Managing technical debt to ensure products stay ahead of technology obsolescence

Qualifications

• Basic Qualifications (Required Skills/Experience):
• Bachelor’s Degree or higher
• 3+ years of experience with relational (cloud and on-premise) and non-relational database platforms
• 3+ years of experience in Data Analytics, Business Intelligence, Finance, or related field

• Preferred Qualifications (Desired Skills/Experience):
• 3+ years of experience communicating and collaborating with internal or external customers, peers, other employees, and all levels of leadership
• 3+ years of experience with Microsoft SQL Server, Teradata Database, Oracle Database and/or Toad/Teradata Studio
• Experience with programming languages including Python, R and Shell scripting

Other Requirements

• Drug Free Workplace: Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for certain substances as outlined in policies
• Pay & Benefits: Boeing offers a Total Rewards package with competitive base pay and variable compensation opportunities, and a range of benefits (health, retirement, time off, etc.)
• Education: Bachelor’s Degree or Equivalent Required
• Relocation: Relocation assistance is not a negotiable benefit for this position
• Visa Sponsorship: Employer will not sponsor applicants for employment visa status
• Shift: This position is for 1st shift

Equal Opportunity

Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, disability, or other characteristics protected by law.