Senior Analyst, Commercial Effectiveness
Bose · US, MA - Framingham ·
- Seniority
- Senior
- Experience
- 5+ years
- Salary
- USD 115,400 – 158,600 / year
At Bose Corporation, we believe sound is the most powerful force on earth — and for over 60 years, we have been a company built on innovation, excellence, and independence. Privately owned, fiercely customer-focused, and driven by our values, we continue to lead industries and transform lives through sound.
Today, Bose Corporation is entering an exciting new era. Across multiple global Business Units and Global Functions, we are shaping the future of audio technology, automotive, luxury, and premium experiences. We invite you to join us in this transformation.
Job Description
Senior Analyst, Commercial Effectiveness
The Senior Analyst, Commercial Effectiveness plays a key role in helping Bose understand, explain, and improve commercial performance across core levers including sell-through, product and category performance, retailer execution, pricing, promotions, and broader market dynamics.
Embedded within the Commercial Analytics team, this role partners closely with business leaders to move beyond “what happened” to uncover “why it happened,” “what would have happened otherwise,” and “what we should do next.” The ideal candidate combines strong analytical rigor with commercial acumen and the ability to translate complex data into clear, actionable recommendations.
A primary focus is advancing Bose’s pricing and promotions analytics capabilities—evaluating effectiveness, measuring incrementality and financial tradeoffs, and building scalable, repeatable frameworks that enable consistent and rigorous decision-making across commercial levers.
Key Responsibilities
Commercial Performance & Driver Analysis
- Analyze sell-through across products, categories, channels, retailers, and markets to identify drivers of growth, decline, and share movement
- Partner with Sales, Marketing, Finance, Retail, and Business Planning to diagnose performance and deliver actionable insights
- Evaluate commercial execution (e.g., assortment, merchandising, pricing, promotions, media, channel dynamics)
- Develop clear, executive-ready narratives connecting business outcomes to underlying drivers
- Translate ambiguous business questions into structured analyses and decision-ready outputs
Pricing & Promotions Effectiveness
- Lead analysis of pricing and promotional performance across products, categories, and retailers
- Measure impact including lift, incrementality, cannibalization, pull-forward, margin effects, and post-promotion behavior
- Support elasticity and price sensitivity analyses to inform pricing and investment decisions
- Establish best practices, methodologies, and frameworks for evaluating pricing and promotions
- Identify opportunities to optimize discounting and improve promotional efficiency across revenue, margin, and share objectives
Measurement, Testing & Decision Support
- Design and evaluate test-and-learn initiatives across pricing, promotions, and retail execution
- Build analytical frameworks distinguishing descriptive insights from causal and incrementality-based measurement
- Identify opportunities to leverage advanced analytics or AI to improve decision quality
- Ensure insights are delivered with appropriate context, assumptions, and business implications
Qualifications
Required
- Bachelor’s degree in Analytics, Economics, Statistics, Finance, Marketing Analytics, Data Science, or related field
- 5+ years in commercial, pricing, sales, retail, or marketing analytics
- Strong experience working with large, complex datasets and translating business questions into analytical approaches
- Deep understanding of commercial performance drivers (price, promotion, assortment, channel, product mix, marketing, retailer execution)
- Proficiency with BI and analytical tools (e.g., Tableau, Power BI, Excel, SQL, Python, R)
- Strong communication and analytical storytelling skills for non-technical audiences
Preferred
- Experience with pricing, promotions, elasticity, incrementality, uplift modeling, and revenue growth management
- Familiarity with retail sell-through, POS, syndicated, retailer, or e-commerce data
- Experience analyzing margin tradeoffs, promotional ROI, cannibalization, and price sensitivity
- Background in consumer electronics, retail, CPG, or omnichannel businesses
- Comfort leveraging advanced analytics or AI-enabled tools to scale insights
#LI-SS1
Bose is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, genetic information, national origin, age, disability, veteran status, or any other legally protected characteristics. The EEOC’s “Know Your Rights: Workplace discrimination is illegal” Poster is available here: https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf. Bose is committed to providing reasonable accommodations to individuals with disabilities. If you require reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please direct your inquiries to [email protected]. Please include "Application Accommodation Request" in the subject of the email.
Our goal is to create an atmosphere where every candidate feels supported and empowered in the interviewing process. Diversity and inclusion are integral to our success, and we believe that providing reasonable accommodation is not only a legal obligation but also a fundamental aspect of our commitment to being an employer of choice. We recognize that individuals may have different needs and requirements based on their abilities, and we provide reasonable accommodations to ensure ideal conditions are met during the application process.