Senior Marketing Science Analyst
About The Position
Flipp partners with the largest North American retailers and brands to deliver local promotions and savings to millions of engaged shoppers daily, driving superior returns on investments. We help people make smarter shopping decisions with autonomy and accountability. With rising living costs, Flipp's mission is crucial. Our Shopper Consideration Platform allows retailers and manufacturers to create digital experiences from their savings & deals content, aiding shoppers in deciding what to buy and where to buy it. Together, we make a difference. Our five principles, Progress Over Perfection, Clarity Through Transparency, Learn Loudly, Challenge with Empathy, and Always Build Better, bring a relentless progress mindset to life. They’re not just slogans, but they’re the behaviours we expect, reward, and hold ourselves accountable to. You'll be equipped to make an impact, realize your potential, and stay inspired every step of the way. The Senior Marketing Science Analyst acts as an analytical consultant for Flipp’s business development and product teams, in support of Retail, Brand, and Media partners. You assess the business situation, select the appropriate testing & measurement approach and derive actionable insights to deliver business performance. You collaborate effectively with peers and mentor entry level analysts both technically and methodologically.
Requirements
- Post secondary degree in a quantitative discipline such as Statistics/Math/Finance/Economics/Business Engineering or similar field
- 3+ years experience as a data analyst delivering continued business impact
- Advanced technical ability in data extraction and analysis - SQL, Python, Scala, R
- Experience analyzing & visualizing data w/industry leading BI tools - tableau, PowerBI, Thoughtspot, Looker
- Foundational knowledge of cloud data platforms - AWS, Azure, GCP
- Strong understanding of Retail, CPG, digital measurement & consumer insights
- Self-starter, highly effective working independently and within a team
Nice To Haves
- Experience working with databricks an asset
Responsibilities
- Plan & Design
- E2e delivery of testing & measurement process - setup, execution & analysis - w/minimal support
- Selects best-fit approach based on Flipp testing & measurement best practices
- Advises overall testing & measurement plan design
- Manages assigned tickets in JIRA workflow w/minimal support
- Contributes to development & delivery of strategic analytics roadmap for assigned portfolio
- Data Preparation & Modeling
- Highly proficient in data extraction, manipulation and aggregation
- Effectively navigate enterprise level systems & large datasets
- Strong understanding of Flipp's data models, limitations & relevant applications
- Identify process efficiency opportunities & develop working prototypes
- Analysis & Measurement
- Proficient with foundational statistical concepts
- Deep expertise in digital marketing attribution and incrementality measurement
- Execute Flipp testing & measurement playbooks and improvises creatively w/data off script
- Identify root cause issues & scalable opportunities through strong diagnostic analysis & curiosity
- Investigates and drives to resolution on identified data anomalies
- Generating & Delivering Insights
- Drives meaningful action by extracting "So What" & "Now What" in d2d analysis
- Develops compelling, insightful and tailored analysis and measurement approaches to answer ambiguous business challenges
- Utilizes industry leading BI tools to effectively visualize key insights
- Adept at presenting analysis to both technical and non-technical internal audiences & assigned external stakeholders
- Innovation & Growth
- Actively expands skills & knowledge both technically and in digital marketing & measurement
- Contribute to development & documentation of internal testing & measurement best practices
- Contributes to x-functional testing & measurement innovation initiatives
- Lead the integration of advanced analytics and research into client deliverables and business reviews
- Define data requirements for product and data science / engineering teams
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
