About Cardlytics

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 170 million global consumers.

We see one out of every two card swipes across the US, covering $3.1T 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
This role is a Senior Analyst in the Performance Analytics team, which is responsible for generating accurate projections for campaign budgets and reward liability for large scale advertisers generated by our ML platform, creating detailed customer segmentation, and understanding and monitoring performance and health of different drivers in the Cardlytics network. The senior analyst will work cross-functionally with Media Strategy and Analytics teams to ensure projections accurately reflect advertisers’ strategies and inflight campaign performance is tracking correctly to consume contracted budgets.

You will:
• Generate accurate custom projections using ML models provided by the modeling team for large scale advertisers.
• Interpret advanced forecast models that provide Media Strategists with insight on performance
• Monitor campaign performance to ensure that the network is performing at full potential.
• Understand how campaigns on our platform perform in various verticals and make recommendations for future implementation.
• Creatively build ways to automate and streamline processes.

You are:
• A collaborator who will partner across external and internal organizational teams to drive revenue and expand adoption of Cardlytics’ solutions by our retail customers
• Results oriented and able to juggle multiple project and clients at a time
• Curious and always go beyond what is happening to discover why
• An effective communicator with a solution-oriented mindset
• A strategic thinker who focuses on larger, longer-term issues and defines evolving future opportunities

You have experience in:
• Interpreting complex models and forecasts and translate results into audience ready results
• Knowledge of statistical modeling, testing, data mining, and data science techniques
• Proficient in SQL, advanced Excel and Python skills a plus
• A degree in Statistics, Engineering, Decision Sciences, or similar field. Masters preferred
• 2+ years’ experience in an Analytics / Forecasting role