Marketing Science Analyst, Retail Media Networks at Flipp in Canada

Summary: Flipp is a company that partners with major North American retailers to enhance shopping experiences through local promotions. The Marketing Science Analyst will work cross-functionally to execute testing and measurement, support analysis, and contribute to business cases that demonstrate the value of marketing initiatives. Responsibilities: - Execute analysis per specified testing & measurement plan - Understands & applies Flipp testing & measurement best practices - Completes assigned tickets in JIRA workflow on time w/high quality - Proficient in data extraction, manipulation and aggregation - Navigate enterprise level systems & large datasets - Understanding of Flipp's data models, limitations & relevant applications - Identify process efficiency opportunities & develop working prototypes - Understand & apply foundational statistical concepts - Working knowledge of digital marketing attribution and incrementality measurement - Execute Flipp testing & measurement playbooks - Investigate anomalies, patterns and potential root cause issues to drive understanding & corrective action - Identifies the "What" & "So What" in d2d analysis, often driving action via recommendations ("Now What") - Packages complex analysis into a compelling data story - Utilizes industry leading BI tools to effectively visualize key insights - Effectively presents analysis to both technical and non-technical internal audiences - Actively develops technical skills in programming and analysis - Actively seeks to develop deeper industry expertise (Retail/CPG & digital marketing) - Develops & delivers on personal development plan - Tests new capabilities & provides feedback to process owners Required Qualifications: - Post secondary degree in a quantitative discipline such as Statistics/Math/Finance/Economics/Business Engineering or similar field - 1-2 years experience as a data analyst - Demonstrated abilities in data extraction and analysis - SQL, Python, Scala, R - Familiarity w/industry leading BI tools - tableau, PowerBI, Thoughtspot, Looker - Foundational knowledge of cloud data platforms - AWS, Azure, GCP an asset - Experience working with databricks an asset - Familiarity with foundational Retail, CPG, digital measurement & consumer insight concepts - Self-starter, highly effective working independently and within a team Required Skills: SQL, Python, Data analysis Important Skills: BI tools, Cloud data platforms, Retail/CPG knowledge Nice-to-Have Skills: Statistical concepts, Data storytelling, Team collaboration, Self-starter Benefits: Highly flexible benefits