Bank Analytics Manager
Confirmed live in the last 24 hours
Purchase intelligence
Company Overview
At Cardlytics, their mission is to make marketing more relevant and measurable with purchase intelligence
Locations
Atlanta, GA, USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Data Analysis
Marketing
R
SQL
Tableau
Python
CategoriesNew
Data & Analytics
Requirements
- Experience in Analytics and Design of Experiments, with 5+ years in a Marketing Analytics, Risk Analytics, Loyalty Analytics, and/or Analytics Consulting role, including experience as a team or project lead
- Experience interpreting analytical results and transforming them into actionable insights and working with the Partner teams to develop an implementation plan
- Experience in client-facing roles as a subject matter expert with the ability to present to both non-technical marketers and data/statistics professionals
- Experience thriving under pressure in an unstructured, fast-paced environment
- A degree in Statistics, Engineering, Mathematics, Decision Sciences, Market Research, or similar field
- A collaborator who will partner across bank and internal organizational lines to drive go-to-market strategies and expand adoption of Cardlytics solutions by our banks and their customers
- Results oriented and can manage the day-to-day bank strategic support needs across portfolios and ensure strategies are actioned into results
- 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 integrating current initiatives in the bank and ideating on future solutions for bank and other clients
- A leader who can connect the work of analysts on your team into cohesive insights and strategies and mentor more junior team members on technical skills
Responsibilities
- Work on problems affecting some of the largest financial institutions in the US and meet our commitments towards engagement and FI value
- Work with large datasets in a fast-paced environment using SQL, Python, R, Tableau, and other tools
- Craft engaging analytic stories to drive home the impact of FI engagement and value, both from a consumer as well as financial institution perspective
- Mine purchase data to understand customer spending habits, competitive landscapes, and customer journeys
- Develop and standardize new analytic approaches around customer lifecycle value, measurement plans, cadence testing, optimized cadence of offers, and repeatable self-service tools for internal and external consumption