Boeing

Business Intelligence Analyst (Senior or Lead)

USA - Chicago, IL Full time
Business Intelligence Analyst (Senior or Lead)

Company:

The Boeing Company

Boeing’s Enterprise Services organization is seeking a Business Intelligence Analyst (Senior or Lead) to support our transformation journey in one of the following locations.

  • Alabama: Huntsville

  • Arizona: Mesa

  • California: El Segundo, Huntington Beach, Long Beach, Sacramento, or Seal Beach

  • Connecticut: New Canaan

  • Florida: Jacksonville

  • Illinois: Chicago

  • Massachusetts: Cambridge

  • Missouri: Berkley or Hazelwood

  • Oklahoma: Oklahoma City

  • Oregon: Portland

  • Pennsylvania: Ridley Park

  • South Carolina: North Charleston

  • Texas: Plano or San Antonio

  • Virginia: Arlington

  • Washington: Auburn, Everett, Renton, Seattle, or Tukwila

Enterprise Services is a team of 2,500+ employees whose collective mission is to enable the build of Boeing’s products. Enterprise Services provides strategic partnership and support to all Boeing business units through multiple service towers – creating outsized impact and value across the Enterprise. In this position, you will be part of Enterprise Services' Operational Excellence & Transformation team. 

We are looking for someone that is curious and looks for insights into data and turns them into practical and measurable outcomes. The ability to talk about data in business terms and language and someone who is a storyteller at their core is ideal for this role. This position requires travel to major U.S. Boeing sites as needed, likely once a quarter.

Position Responsibilities:

  • Engages broadly with Services Towers and functional partners to frame, structure, and prioritize business problems

  • Mine datasets to identify information & insights which are relevant to answering key questions and highlight key indicators to drive actions

  • Works with multiple data sets and databases that don’t link and don’t talk to each other and find ways to link them to enable the building of data sets, presentations, and stories

  • Uncovers meaningful information from disparate and complex data and summarize in simple terms

  • Understands the logic and data sources behind reports and analysis that we have been given to find issues, inconsistencies, and solutions

  • Must be logically oriented and create complex formulas which account for multiple sources and variables

  • Works with the Senior Manager of Operational Intelligence to build visual display and stories out of data; shares stories through graphs, diagrams, and data that are self-explanatory and drive useful outcomes

  • Provides relevant and practical insights using data in a simple to understand format using both verbal and written communication to key partners

  • Understands and speaks to different levels within the organization (from data analyst to VP)

  • Speaks in depth about the different data sets, fields, taxonomy, reporting suites, platforms, data systems, system architecture, and ERPs, in language that the relevant audiences will understand

  • Works with Senior Manager of Operational Intelligence to help manage and implement data solutions as well as support data projects

  • Builds recurring reports/dashboards and analysis using various platforms. Lead ongoing maintenance, updating, and building of data reports

  • Takes directions that are inconsistent, brief, and vague and both interpret & produce materials for reaction to and know follow-up questions to deliver accurate work

  • Understands data systems and architecture across Enterprise Service towers and creates data plans, approaches and strategies to enable Enterprise Services to be more efficient and take advantage of data system functionality

Key Relationships & Stakeholders:

  • Enterprise Services Executive Leadership team

  • Data Science and IT

  • Service Tower Leadership (Indirect Supply Chain, Global Real & Facilities, Executive Flight)

  • Build external relations with vendors and/or consultant parties

  • Finance partners

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.

Basic Qualifications (Required Skills/Experience):

  • 5+ years of management consulting experience

  • 5+ years of work experience with the Microsoft Excel application using: formulas, VLookups, pivot tables, charts, filters, and linking worksheets

  • 5+ years of experience with PowerPoint and creating presentations

  • Willing and able to travel occasionally to support customer needs

Preferred Qualifications (Desired Skills/Experience):

  • 10+ years of related work experience or an equivalent combination of education and experience

  • Bachelor's degree or equivalent work or military experience

  • Experience with Visio, Figma, and/or Miro

  • Lean methodology experience

  • Experience working on large scale programs focused on data integration, analytics, and reporting

  • Interpersonal and communication skills

  • Experience demonstrating a continuous improvement mindset

  • Experience taking problems and creating solutions to deliver value for customers

  • Experience understanding customer needs and tailoring the message presented depending on the audience

  • Ability to collaborate across the globe and across multiple time zones

Conflict of Interest:

Successful candidates for this job must satisfy the Company’s Conflict of Interest (COI) assessment process.

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.

Pay & Benefits:

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.

Multi-Level Multi-Location Salary Range

For CA; CT; IL; MA; OR; PA; Plano, TX; VA; WA

Summary Pay Range for Experienced level (Level 3): $96,900 – $131,100

Summary Pay Range for Senior (Level 4): $122,400 – $165,600

For AL; AZ; FL; MO; SC; TX

Summary Pay Range for Experienced level (Level 3): $90,950 – $123,050

Summary Pay Range for Senior (Level 4): $122,400 – $155,250

For Oklahoma City, OK

Summary Pay Range for Experienced level (Level 3): $85,000 – $115,000

Summary Pay Range for Senior (Level 4): $122,400 – $144,900

Language Requirements:

Not Applicable

Education:

Not Applicable

Relocation:

Relocation assistance is not a negotiable benefit for this position.

Export Control Requirement:

This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a “U.S. Person” as defined by 22 C.F.R. §120.62 is required. “U.S. Person” includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee.

Safety Sensitive:

This is not a Safety Sensitive Position.

Security Clearance:

This position does not require a Security Clearance.

Visa Sponsorship:

Employer will not sponsor applicants for employment visa status.

Contingent Upon Award Program

This position is not contingent upon program award

Shift:

Shift 1 (United States of America)

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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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