REGISTRIEREN

Jobbörse

Finde Jobs in deiner Nähe – ob vor Ort, hybrid oder remote.
  • Ähnliche Jobs zu: Senior Promotions Analytics Lead
XX
Business Analyst, Promotions Analytics, Whole Foods MarketAmazon • Seattle, Washington, United States
Jetzt Bewerben
XX

Business Analyst, Promotions Analytics, Whole Foods Market

Amazon
  • US
    Seattle, Washington, United States
  • US
    Seattle, Washington, United States
Jetzt Bewerben

Über

Business Analyst, Promotions Analytics, Whole Foods Market Job ID: 10450225 | Amazon.com Services LLC
Whole Foods Market is looking for a Business Analyst to join our Promotion Analytics team. In this role, you will own end‑to‑end analyses that drive promotional strategy, serving as the analytics go‑to for your business area. You will independently translate complex business questions into actionable insights, build scalable self‑serve reporting frameworks, and influence decisions across merchandising, marketing, and category teams.
You will partner within the Promotions Analytics team to increase the speed from data analysis to insight—leveraging emerging AI capabilities to unlock new areas of value for the business. This role goes beyond reporting: you will design measurement approaches, identify opportunities proactively, and drive recommendations that shape how Whole Foods Market evaluates and optimizes promotional programs. We are looking for someone who combines analytical depth with the ability to communicate clearly to senior stakeholders and who thrives in an environment of ownership and continuous improvement.
Skills
Strong ownership mindset—dive deep into data, take accountability for quality and impact, and earn trust through consistent delivery.
Expert‑level proficiency in SQL (Redshift preferred) and business intelligence tools (e.g., QuickSight, Tableau).
Experience building scalable dashboards and self‑serve reporting that drive organizational adoption.
Strong quantitative and analytical reasoning; comfortable with large, complex datasets and ambiguous business questions.
Excellent written and verbal communication—distill complex analyses into crisp narratives for senior stakeholders.
Proactive and curious; stay ahead of industry trends, experiment with new tools (including AI/ML capabilities), and continuously improve team processes.
Strong organizational skills with the ability to manage multiple concurrent workstreams and prioritize effectively.
Key Job Responsibilities
Own end‑to‑end promotional analytics—independently scope, design, execute, and communicate analyses that inform merchandising strategy and campaign optimization.
Build scalable, self‑serve reporting frameworks in QuickSight and Redshift SQL that enable stakeholders to access insights without analyst dependency.
Serve as the analytics subject‑matter expert for your business area, proactively identifying trends, risks, and opportunities in promotional performance data.
Drive recommendations to senior leadership—translate findings into clear, actionable recommendations that influence promotional strategy and investment decisions.
Accelerate time‑to‑insight by leveraging emerging AI capabilities and automation to streamline data workflows and expand analytics coverage into new areas of the business.
Analyze market, competitor, behavioral, and transactional data to evaluate promotional effectiveness, customer engagement, and shopping behavior.
Design and refine measurement approaches—develop frameworks for evaluating promotional ROI, incrementality, and program performance.
Provide technical guidance to peers—mentor junior analysts and contribute to team best practices for data modeling, visualization, and analytical rigor.
Partner cross‑functionally with Program Managers, Category Merchandising, and Marketing to align analytics with business objectives and planning cycles.
Lead insights reviews—synthesize findings, present to Director+ audiences, and provide forward‑looking recommendations that inform planning.
Basic Qualifications
4+ years of business analyst, data analyst or similar role experience.
Bachelor's degree or equivalent.
Experience defining requirements and using data and metrics to draw business insights.
Experience with Excel.
Experience with SQL.
Experience making business recommendations and influencing stakeholders.
Preferred Qualifications
Experience delivering complex, data‑driven recommendations to senior leaders.
Experience with reporting and data visualization tools such as QuickSight, Tableau, Power BI or other BI packages.
Experience with data scripting languages (e.g., SQL, Python, R) or statistical/mathematical software (e.g., R, SAS, Matlab).
Grocery, retail, or CPG industry experience.
Familiarity with promotional measurement, incrementality testing, or marketing analytics.
Experience with Amazon Redshift or similar cloud data warehouse platforms.
Experience applying AI/ML tools or emerging technologies to accelerate analytics workflows.
Benefits The base salary range for this position is listed below. Your Amazon package will include sign‑on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription), Basic Life & AD&D insurance and optional Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage, 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
Salary Range USA, TX, Austin – $74,300.00 – $130,100.00 USD annually USA, WA, Seattle – $82,700.00 – $130,100.00 USD annually
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
#J-18808-Ljbffr
  • Seattle, Washington, United States

Sprachkenntnisse

  • English
Hinweis für Nutzer

Dieses Stellenangebot stammt von einer Partnerplattform von TieTalent. Klick auf „Jetzt Bewerben”, um deine Bewerbung direkt auf deren Website einzureichen.