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The Boeing Company is seeking a Senior Measurement and Research Analyst to join the Communications Team.

The successful candidate will have a passion for using research and analytics to unlock insights that make brands stronger and communications more effective. This senior-level specialist will help lead the strategy, capabilities and governance for measurement and analysis practices for the Communications function. This person is responsible for curating data, analyzing, measuring and reporting on the effectiveness of our brand and reputation initiatives with key audience segments. The ideal candidate will have a deep understanding of data analysis and global research methodologies, and will also be adept at advising teammates and conveying actionable recommendations to executive stakeholders for optimizing performance.

This position allows the candidate to be based in one of the following: Chicago, IL; Everett, WA; Auburn, WA; Renton, WA; Seattle, WA; Bellevue, WA; Mesa, AZ; Berkeley, MO; Hazelwood, MO; Herndon, VA; North Charleston, SC; El Segundo, CA; Long Beach, CA; Seal Beach, CA; Huntington Beach, CA; Colorado Springs, CO; Oklahoma City, OK; Plano, TX, San Antonio, TX; Huntsville, AL, or Ridley Park, PA.

Position Responsibilities:

• Shapes the team’s governance of quantitative and qualitative communications measurement models, including objective- and Key Performance Indicator (KPI) settings, data analysis and best practices for ways that data is used to influence action by communications stakeholders

• Performs analysis to identify insights and key drivers of performance, quantifies the impact of initiatives, and helps find stories within the data

• Develops and manages brand measurement and research strategy, using both primary and secondary data sources to evaluate and track global brand and reputational performance

• Provides insights and recommendations to the brand team and senior management based on data analysis, research findings, and industry trends, including audience segmentation analysis

• Collaborates with cross-functional teams to ensure data alignment and consistency in tracking multi-channel communications strategies and brand performance

• Identifies new data sources, research techniques, and analytical tools to enhance measurement and research

• Ensures data quality, accuracy, and completeness of all brand-related data and measurement tools

• Partners with Human Resources (HR) for employee research projects

• Provides subject matter expertise for communications research inquiries and acts as an advisor to the communications function on data and research application

• Works closely with external supplier partners on brand research and analysis projects

• Demonstrates an active role in qualitative and quantitative primary research projects, including helping with analyzing research objectives, assisting in design of the methodology/questionnaire, analyzing the data and creating research presentations

• Consults on creative ways to visualize quantitative data in presentations

This position is hybrid. 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.

Employer will not sponsor applicants for employment visa status.

Basic Qualifications (Required Skills/Experience):

• Bachelor's degree or higher in Communications or a related field

• 5+ years of experience researching and analyzing data

• Excellent verbal and written skills with capability to communicate task progress and challenges within team and with technical leadership, both internal and external

• 5+ years of experience working in a cross functional environment

• 5+ years of experience in managing multiple projects simultaneously

• Experience in a role that required strong problem solving skills and analytical skills

• Experience utilizing different research methodologies as well as brand and marketing models

Preferred Qualifications (Desired Skills/Experience):

• Master's degree or higher

• Advanced knowledge of statistical analysis and data modeling tools such as R, Python, and SQL

• Strong proficiency in data visualization tools such as Tableau or PowerBI

Typical Education/Experience:

Education/experience typically acquired through advanced education (e.g. Bachelor) and typically 15 or more years' related work experience or an equivalent combination of education and experience (e.g. Master+13 years' related work experience, 19 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:

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.

Please note that the salary information shown below is a general guideline only. Salaries are based upon candidate experience and qualifications, as well as market and business considerations.

Summary pay range: $116,450 - $180,550

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.