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Lead Project Data Analytics Management Specialist

Boeing

Lead Project Data Analytics Management Specialist

Boeing

saint charles

·

On-site

·

Full-time

·

2w ago

Compensation

$118,150 - $159,850

Benefits & Perks

Healthcare

401(k)

Flexible Spending Accounts

Health Savings Accounts

Life Insurance

Disability Insurance

Paid Time Off

Healthcare

401k

Required Skills

Power BI

Power Query

DAX

SQL

Python

R

Data Analysis

ETL

Workforce Planning

KPI Design

Job Description

At Boeing, we innovate and collaborate to make the world a better place. 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.

Boeing, Defense, Space, and Security (BDS) is seeking a motivated, talented Lead Project Data Analytics Management Specialist to join the Precision Engagement Systems (PES) team located in Saint Charles, MO or** Saint Louis, MO.**

As a part of the Space, Intelligence and Weapon Systems (SIWS) organization**, **Precision Engagement Systems (PES) is a dynamic and growing team with leadership that is focused on attracting and developing top talent in support of critical missions on Direct Attack (DA) and Cruise Missiles Systems (CMS) programs. Connected to our customers’ missions, we deliver unique capabilities through our exceptional talent.  The programs we support in Saint Charles, MO include Direct Attack weapons (JDAM, SDB, MOP, HAAWC and associated derivatives) and Cruise Missiles (SLAM ER, Harpoon and development weapons) utilized on various military aircraft, some ground-based platforms, and other future contract awards.

This is a 50/50 Program Management Data Analytics role: lead workforce/resource planning and program facilitation while building analytics, automated ETL, and leadership dashboards to enable data-driven engineering decisions. Hands-on work with Power BI/Power Query, SQL, and scripting (Python/R) is required; facilitation of cross-functional governance and program execution is equally important.

This role serves as a key process facilitator and data analytics expert supporting engineering workforce staffing, resource planning, and other critical engineering functions within the Space, Intelligence and Weapon Systems (SIWS) organization.

While this position works closely with engineers and senior engineering leadership, it does not require an engineering degree or technical engineering experience. Instead, the successful candidate will excel at facilitating engineering processes, driving process improvements across the broader engineering organization, and delivering actionable insights through data analysis and automation to enable effective decision-making.

A strong passion for people’s development and engagement is essential. In this role, you will collaborate with functional engineering partners across disciplines, engineering leaders, and teams from Government Operations, Legal, Human Resources, and Finance teams to ensure staffing processes, development resources, manager tools, and engagement materials align with Boeing’s Engineering mission to deliver world-class engineering through exceptional talent.

Position Responsibilities:

  • Develop and operationalize analytics, automated ETL pipelines, and dashboards to support workforce planning and engineering program decisions

  • Design, compute, and maintain KPIs, trend/variance analyses, forecasting, and risk models; translate findings into actionable staffing and program recommendations

  • Build and maintain data models in Power BI (Power Query), author DAX measures, write SQL queries, and use scripting (Python/R) to automate data workflows and validation

  • Create executive-ready reports, visualizations, and briefings; present insights and recommended actions to senior leadership

  • Facilitate recurring resource planning cycles, cross-functional governance, technical reviews, and large-scale events to align stakeholders and drive program outcomes

  • Drive process improvement and change management initiatives that implement analytics-driven decisions and reduce manual effort

  • Establish and enforce data quality standards, definitions, and documentation for workforce and program datasets

  • Partner with HR, Finance, Legal, Government Operations, and engineering leadership to ensure analytics address operational needs and compliance

  • Lead adoption of analytics platforms and coach stakeholders on metrics interpretation and data-driven decision making

  • Document lessons learned and support program closeout and transition activities.

Basic Qualifications (Required Skills/Experience):

  • Ability to obtain a U.S. Security Clearance for which the U.S. Government requires U.S. Citizenship. An interim and/or final U.S. Secret clearance Post-Start is required

  • Bachelor's degree or higher

  • 5 years of experience of working independently and collaboratively in a team environment

  • 3 years building data analytics dashboards and business intelligence solutions in Power BI or Tableau; demonstrable work with Power Query and DAX

  • Hands-on experience with at least one scripting language for data automation (Python, R, or equivalent)

  • Proven experience facilitating workforce staffing or other resource planning processes within technical or engineering organizations

  • Strong data analysis and automation skills, with demonstrated ability to collect, interpret, and streamline complex data sets

  • Proven ability to design KPIs, run trend/variance analyses, forecasting, and present actionable insights to senior leadership.

  • Excellent verbal and written communication skills, with the ability to collaborate effectively with engineers, engineering leadership, and cross-functional teams

Preferred Qualifications (Desired Skills/Experience):

  • 3 years of program or project management experience supporting engineering, product development, or technology programs

  • Experience with data pipeline/ETL tooling, cloud data platforms, or orchestration (Azure Data Factory, Airflow, etc.)

  • Experience with Tableau, Looker, or other advanced visualization platforms in addition to Power BI

  • Experience writing SQL for data transformation, reporting, and analytics

  • Familiarity with data modeling best practices, dimensional modeling, and build/maintain enterprise datasets

  • Experience with large-scale workforce planning, skills-based staffing, or labor forecasting

  • Formal project management training/certification (PMP, CAPM, Scrum Master) is a plus

  • Experience in financial analysis, budgeting, or cost modeling to support resource allocation decisions

  • Prior experience supporting cleared programs or government customers

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 Statement:

This position is for 1st shift.

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.

Summary pay range for (Level 4) Lead: $118,150.00 - $159,850.00

Applications for this position will be accepted until

Feb. 25, 2026Export Control Requirements:

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.

Export Control Details:

US based job, US Person required

Education

Bachelor's Degree or Equivalent Required:

Relocation

Relocation assistance is not a negotiable benefit for this position.

Security Clearance

This position requires the ability to obtain a U.S. Security Clearance for which the U.S. Government requires U.S. Citizenship. An interim and/or final U.S. Secret Clearance Post-Start is required.

Visa Sponsorship

Employer will not sponsor applicants for employment visa status.

Shift

This position is for 1st shift

Equal 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.

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About Boeing

Boeing

Boeing

Public

The Canadian arm of the US aircraft manufacturer Boeing

10,001+

Employees

Winnipeg

Headquarters

Reviews

3.4

21 reviews

Work Life Balance

2.2

Compensation

3.5

Culture

2.0

Career

2.1

Management

1.8

25%

Recommend to a Friend

Pros

Good pay and benefits

Job stability compared to other tech companies

Engineers working to improve processes

Cons

Poor management and leadership quality

Terrible work-life balance and high stress

Lack of career advancement opportunities

Salary Ranges

27 data points

L2

L3

L4

L5

L6

M3

M4

M5

M6

Mid/L4

Senior/L5

L2 · Chief of Staff L2

0 reports

$148,288

total / year

Base

$59,315

Stock

$74,144

Bonus

$14,829

$103,802

$192,774

Interview Experience

2 interviews

Difficulty

2.5

/ 5

Duration

14-28 weeks

Offer Rate

100%

Experience

Positive 50%

Neutral 50%

Negative 0%

Interview Process

1

Application Review

2

Recruiter Screen

3

Hiring Manager Interview

4

Panel Interview

5

Offer Negotiation

Common Questions

Behavioral/STAR

Product Strategy

Technical Knowledge

Past Experience

Culture Fit