If you have a bank account or a credit card, chances are good that you’ve seen our platform in action. By running the cash-back rewards programs for Chase, Bank of America, Wells Fargo and other financial institutions we place targeted, relevant, measurable ads in front of more than 150 million US consumers - more MAUs than Twitter, Pinterest, and Snapchat.
We see one out of every two card swipes across the US, covering $3.3T in purchases. This puts us in a unique position, to help marketers predict consumer shopping behavior based on actual purchase data. We then use that data to reach bank consumers with offers they will love and that drive measurable, incremental purchases for our advertisers.
About the Role
As a Data Analyst on our Data Science team, you will be focusing on developing Merchant Intelligence for supporting and validating Purchase Graph Model recommendations. You will be preparing required data sources for building master location lists across 10k+ merchants. You will be thoroughly investigating merchant store level cleaning/tagging and share feedback.
Extract, cleanse, transform and prepare large volumes of data from multiple sources for analysis using SQL and other tools.
Troubleshoot issues with data or processes and conduct root cause analysis.
Conduct and provide analysis of data to provide clear insights and recommendations to internal business partners.
Identify current state process inefficiencies and drive continuous improvement efforts.
Analytically minded, critical thinker with natural curiosity
Must be comfortable mining actionable insights from data.
MS Office skills: Excel (Advance, including pivot tables, and macro),
MS Word and PowerPoint (intermediate).
Proficiency in Python, SQL
Ability to adapt to changing priorities.
Excellent Communication Skills.
High-level attention to detail.
Ability to work independently with minimal supervision.