84.51° is a retail data science, insights and media company. We help The Kroger Co., consumer packaged goods companies, agencies, publishers and affiliates create more personalized and valuable experiences for shoppers across the path to purchase.
Powered by cutting-edge science, we utilize first-party retail data from more than 62 million U.S. households sourced through the Kroger Plus loyalty card program to fuel a more customer-centric journey using 84.51° Insights, 84.51° Loyalty Marketing and our retail media advertising solution, Kroger Precision Marketing.
We are a community of data scientists that act as the voice of the customer – they share their story with us each and every day. Through simple, comprehensive, purposeful analytics, we fearlessly bring these customer stories and journeys to life. Our 360° customer view allows us to anticipate customer needs, thus enabling our clients to connect with their customers in meaningful, relevant ways. We expect all data scientists to be hands on with respects to the analysis of a retailer database, using the full suite of 84.51° technical tools to create timely, relevant, and actionable insights.
As Senior Data Scientist, Kroger Activation team you are joining a community of analysts – we are researchers in search of the customer story We are looking for a skilled senior data scientist ready to be a key contributor in providing strategic consulting on targeting and leading custom analytics and measurement for Our Brands KPM portfolio and Kroger Enterprise Marketing initiatives. Our Analysis team is known for solving client and customer problems, employing the most appropriate statistical and analytic approaches. You will be hands-on with respect to the analysis of a retailer database, using the full suite of 84.51° technical and visual tools – R, Python, Tableau, Excel, SQL, Power BI (and other internal tools) to create timely, relevant, and actionable insights.
Responsibilities
Effectively manage campaign analytics and insights across Our Brands Kroger Precision Marketing portfolio and Kroger Enterprise marketing initiatives
Partnering with CSA and account executive team on the delivery of insights and measurement to Kroger
Ensuring high levels of client engagement and the successful delivery of media campaign measurement
Attain mastery of 84.51˚ and KPM’s data assets, measurement techniques, QA processes, and overall analytic capabilities and confidently showcase them to stakeholders.
Interpreting results and developing actionable recommendations from robust 1st party data to build relevant customer stories for clients.
Contribute to developing, defining, and completing custom projects and analytics that help drive media campaigns, customer insights, and client relationships forward.
Leading and managing projects, tasks, and stakeholders to ensure that projects are delivered on time and accurately.
Assisting with development of junior analysts and new team members on media measurement interpretation, results delivery, KPM-specific skills, and analytic techniques
Qualifications, Skills And Experience
Bachelor’s degree in statistics, mathematics, analytics, economics, marketing, or related discipline
2 years of experience in extracting insights from large databases, translating market research into actionable solutions and presenting findings and recommendations to clients
2 years of experience using advanced algorithms, programming languages (Python, SQL), or technologies in the development of technical analytics solutions or capabilities
Strong interpersonal and communication skills including excellent verbal, written, presentation and consultation skills
Data visualization skills and ability to present technical solutions to non-technical audience.
Strong analytical, problem-solving and decision-making skills
Strong business acumen to link analysis to business impact (grocery and/or retail experience is a plus)
Natural curiosity that welcomes and embraces change and willingness to try new things and to fail.
Excellent attention to detail, organization skills and ability to work in a collaborative environment
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Engineering and Information Technology
Industries
Business Consulting and Services
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