Marketing Insight Analyst, WWGS Analytics & Research

Full Job Description

Worldwide Grocery Stores (WWGS) is seeking a Marketing Insight Analyst to join our Marketing Analytics team supporting Whole Foods Market, Amazon Grocery, and all new grocery channels and store formats.

In this role, you will deliver data-driven insights that drive business decisions within WWGS Marketing. You will measure marketing effectiveness across channels including email, push notifications, paid media, organic search, and onsite experiences. You will work on projects based on stakeholder requests from Marketing, providing input on marketing campaigns, proposing analytical approaches to solve business problems, solving those problems, and providing actionable recommendations to the business. You will partner closely with Business Intelligence Engineers (BIE) to build data pipelines and dashboards to allow marketing, the team, and yourself, to get to insights faster.

You will contribute to the delivery of marketing performance reports, including Weekly Business Reviews, Monthly Business Reviews, and Quarterly Planning Reports. You will conduct diagnostic and root cause analyses on marketing data to identify patterns, trends, and opportunities for optimization of the message, channel, or budget. You will translate business needs into analytical solutions and recommendations, using SQL to analyze data and data visualization tools to tell the story that informs marketing investment decisions.

The ideal candidate has strong technical skills in SQL, marketing analytics, and exploratory data analysis, with the ability to work independently and communicate complex analyses to non-technical stakeholders. You are comfortable navigating ambiguity, learning to distinguish between one-way and two-way doors, and balancing tactical delivery with process improvement opportunities. You are detail-oriented, proactive in monitoring business performance, and passionate about asking questions of data and digging for nuggets of insight.

Key job responsibilities • Use SQL and exploratory data analysis to interrogate marketing data, segment performance, and pressure-test hypotheses, turning open-ended questions into clear, evidence-backed answers. • Translate marketing business needs into analytical solutions, proposing measurement frameworks and analytical approaches to stakeholders. • Present analytical findings and recommendations to Director-level leaders, translating technical complexity into clear business insights, and measuring the impact of the decision made. • Conduct targeted diagnostic and root cause analyses on marketing data to identify patterns, trends, and opportunities. Explain why it happened and what actions need to be taken. • Own the delivery of marketing performance reports including Weekly Business Reviews, Monthly Business Reviews, Monthly Performance Reports, and Quarterly Planning Reports with timely, accurate insights on campaign performance and business trends. • Proactively monitor marketing performance metrics to maintain awareness of business trends, identify anomalies requiring investigation, and discover insights to optimize marketing operations. • Build and leverage dashboard tools (QuickSight, Tableau) to aid in the discovery of insights. • Serve as the grocery and analytics subject-matter expert in partnership with BIE.

Basic Qualifications

• 3+ years of business or financial analysis experience
• Experience making business recommendations and influencing stakeholders
• Bachelor's degree or equivalent
• Knowledge of writing and optimizing SQL queries in a business environment with large-scale, complex datasets
• • 5+ years of Excel (including pivot tables, array functions, power pivots, etc.) and data visualization tools such as Tableau experience
• • Experience defining requirements and using data and metrics to draw business insights

Preferred Qualifications

• • Experience in retail, consumer packaged goods, or grocery industry.
• • Experience with marketing measurement methodologies including campaign performance analysis, attribution modeling, incremental testing, and customer segmentation.
• • Experience performing exploratory data analysis (EDA) and modeling the impact of marketing decisions in Excel or other tools (Python, R).

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

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 option for 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.

USA, NY, New York - 81,700.00 - 143,100.00 USD annually USA, TX, AUSTIN - 74,300.00 - 130,100.00 USD annually USA, VA, Arlington - 74,300.00 - 130,100.00 USD annually USA, WA, Seattle - 82,700.00 - 130,100.00 USD annually

3+ years of business or financial analysis experience Experience making business recommendations and influencing stakeholders Bachelor's degree or equivalent Knowledge of writing and optimizing SQL queries in a business environment with large-scale, complex datasets - 5+ years of Excel (including pivot tables, array functions, power pivots, etc.) and data visualization tools such as Tableau experience - Experience defining requirements and using data and metrics to draw business insights