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Senior Analyst, Commercial Effectiveness

Job in Framingham, Middlesex County, Massachusetts, 01704, USA
Listing for: Bose Corporation
Full Time position
Listed on 2026-09-10
Job specializations:
  • IT/Tech
    Business Intelligence, Data Analyst
Salary/Wage Range or Industry Benchmark: 115000 - 159000 USD Yearly USD 115000.00 159000.00 YEAR
Job Description & How to Apply Below

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 rigour 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…
Position Requirements
10+ Years work experience
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