Lead Marketing Science Engagement Analyst
Safeway, New York, NY, United States
Marketing Science Engagement Leadership
Manage and execute end-to-end Reporting & Measurement projects, data collection, analysis, and insight generation.
Team Management & Mentorship
Support a team of analysts, setting priorities, guiding technical work, and ensuring skill development.
Review deliverables for quality, accuracy, and client readiness.
Foster a culture of curiosity, critical thinking, and problem-solving.
Client Engagement
Own the full end-to-end analytics process during a campaign lifecycle from pre-campaign audience targeting recommendations, to data QA while the campaign is live, to providing actionable insights and recommendations upon completion of the campaign.
Serve as a measurement subject-matter expert in client meetings, translating data into actionable recommendations.
Utilize knowledge of analytics and statistics to draw insights and interpret complex data to tell a story in a way that is easy for business leaders to understand.
Collaborate with account teams to integrate measurement into client success strategies.
Develop and present insights in visually compelling and business-relevant formats.
We Are Looking For Candidates Who Possess The Following
Analytics & Statistics: Proficiency in A/B testing, experimental design, regression modeling, and causal inference.
Tools: Strong SQL and Excel skills; proficiency in Python or R; experience with BI tools such as Tableau, Looker, or Power BI.
Retail Media Knowledge: Understanding of ecommerce, retail data, loyalty programs, and ad platform metrics.
Communication: Ability to distill technical results into compelling business narratives for non-technical audiences.
Ability to work cross functionally with internal and external stakeholders across multiple teams.
Qualifications
5–7 years in analytics, marketing science, or measurement, with at least 2 years in a leadership or team lead capacity.
Bachelor’s degree in Statistics, Economics, Data Science, or related field; advanced degree a plus.
Additionally, the position is in-office 4 days per week and can be based in Boise, ID; Pleasanton, CA; Chicago, IL; or New York, NY.
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Manage and execute end-to-end Reporting & Measurement projects, data collection, analysis, and insight generation.
Team Management & Mentorship
Support a team of analysts, setting priorities, guiding technical work, and ensuring skill development.
Review deliverables for quality, accuracy, and client readiness.
Foster a culture of curiosity, critical thinking, and problem-solving.
Client Engagement
Own the full end-to-end analytics process during a campaign lifecycle from pre-campaign audience targeting recommendations, to data QA while the campaign is live, to providing actionable insights and recommendations upon completion of the campaign.
Serve as a measurement subject-matter expert in client meetings, translating data into actionable recommendations.
Utilize knowledge of analytics and statistics to draw insights and interpret complex data to tell a story in a way that is easy for business leaders to understand.
Collaborate with account teams to integrate measurement into client success strategies.
Develop and present insights in visually compelling and business-relevant formats.
We Are Looking For Candidates Who Possess The Following
Analytics & Statistics: Proficiency in A/B testing, experimental design, regression modeling, and causal inference.
Tools: Strong SQL and Excel skills; proficiency in Python or R; experience with BI tools such as Tableau, Looker, or Power BI.
Retail Media Knowledge: Understanding of ecommerce, retail data, loyalty programs, and ad platform metrics.
Communication: Ability to distill technical results into compelling business narratives for non-technical audiences.
Ability to work cross functionally with internal and external stakeholders across multiple teams.
Qualifications
5–7 years in analytics, marketing science, or measurement, with at least 2 years in a leadership or team lead capacity.
Bachelor’s degree in Statistics, Economics, Data Science, or related field; advanced degree a plus.
Additionally, the position is in-office 4 days per week and can be based in Boise, ID; Pleasanton, CA; Chicago, IL; or New York, NY.
#J-18808-Ljbffr