Advertiser Analyst

About the Role

As an Analyst on our Advertiser Analytics team, you will go beyond basic statistics to provide actionable, whole wallet customer insights.

You will partner with your manager and internal teams to derive meaning and shape business strategies based on our secure first-party data.

You will work with your team directly consulting with key clients, Sales, and the Client Success teams to present campaign results, build marketing strategies, and identify opportunities for insights.

The ideal candidate will be someone who enjoys mining purchase data to understand consumer spending habits, competitive landscapes, and customer journeys.

You will:

• Work with large data sets in a fast-paced environment, using R, SQL, and other statistical and data visualization tools to build custom analyses to answer client questions and influence and optimize targeted marketing campaigns
• Demonstrate an understanding the Cardlytics’ data environment and how to find, comprehend, and explain data which characterizes a clients’ customer journey
• Analyze Cardlytics Campaign performance and make recommendations on future campaigns
• Develop presentations and present to internal and external clients
• Create new standard, repeatable, and well-documented code for your new analyses which can be leveraged across the broader team
• Partner with other internal analytics teams to provide context on forecasting estimates
• Manage quality control of all deliverables to ensure high standards of accuracy
• Manage and balance the prioritization of large-scope projects with short-term ad hoc requests

You are:

• An out of the box thinker ready to join a strong and high performing team, with working knowledge in relational databases and SQL coding
• Curious and always go beyond what is happening to discover why
• Detail oriented with the ability to hit deadlines
• Able to maintain standard deliverables while growing your skillset and developing new projects and analyses

You have experience in:

• Bachelor’s degree in Statistics, Engineering, Mathematics, Decision Sciences, Econometrics, Data Science or similar, quantitative field (Graduate degree a plus)
• Prior experience in an Analyst role a plus
• Knowledge in SQL is required; R, Python, or Tableau experience is a plus