Senior Analyst, Marketing Science & Analytics

About the role

The Senior Analyst, Marketing Science & Analytics is part of the Decision Science function and develops and maintains the multi-touch attribution methodologies used by the Integrated Media and Orange Apron Media teams to evaluate the performance and value of marketing investments across digital channels. Beyond model development, the role acts as a subject matter expert and internal consultant, helping business and reporting partners draw accurate conclusions from attribution outputs. It sits within a matrixed organization of engineering, data, product and external measurement teams, and reports to the Manager, Attribution.

Key responsibilities

• Provide analytical insight on business performance to other departments (20%).
• Research and analyze business trends and customer behavior data to identify opportunities for website enhancements (20%).
• Analyze web analytics data and other offline data to evaluate site performance (20%).
• Work with the Web Analyst to deliver weekly web analytics dashboards (10%).
• Lead new programs and initiatives for the Web Analytics Team (10%).
• Provide web analytics strategy to the Specialty Channel (10%).

Required profile

• Age 18 or older and legally permitted to work in the United States.
• Bachelor's degree or equivalent in a field related to the job.
• 5 years of work experience.
• Ability to help others and provide on-the-job training or guidance.
• Typically requires overnight travel of less than 10% of the time; mostly sits in a comfortable indoor setting.

Required skills

• Demonstrated business and financial modeling with tools such as Excel and Access.
• Application of statistical analysis principles to business challenges.
• Strong analytical skills with attention to detail.
• Communication skills, including translating model outputs into conclusions for non-technical stakeholders.

Preferred: SQL and experience with large, complex datasets; prior business or data analyst experience in marketing measurement or analytics; understanding of data architecture; experience with multi-touch attribution, media mix modeling or digital marketing performance measurement; broader applied statistics such as regression modeling, causal inference or time-series analysis; strong presentation skills.