Love using statistics to create insightful models, measure the effect of marketing activities, and make an impact on the quality of business decisions? Then we want you!
This is a great opportunity to apply your craft as a statistician/data scientist while working closely with business partners to deliver data-driven solutions.
We are looking for qualified candidates to design, build, and implement marketing mix models to guide marketing investment decisions. You will apply your statistical talent to develop quantitative models to measure and optimize cross channel marketing and promotional spending decisions.
Our large client base and multi-channel transaction volume offers a fertile data environment to uncover new insights and answers to key business questions. Our dynamic business generates many questions that provide lots of opportunity to get deep in data and have real impact.
Analytics and Business Insight (ABI) is a smart, fun team of 140+ that provide quantitative decision support to multiple business units across Schwab. We help our business partners better understand the needs and behaviors of our prospects and clients through analytics, data science, market research, and business intelligence.
You will work collaboratively with marketing partners, analysts, and data engineers to develop and automate marketing mix optimization solutions. You’ll use your analytic, modeling, and consultation skills to help marketing leaders better understand what worked and guide them in making the best spending decisions going forward. This role will require technical sophistication, marketing knowledge, and hands on expertise to create actionable solutions to solve real-world marketing problems.
This role supports multiple marketing units across the Schwab enterprise.
What you bring
Business acumen: Understanding how marketing and promotions grow acquisition and improve retention. Quickly grasp the big picture. Know how to probe beyond stakeholders’ stated requests to understand what is truly needed to capture and drive business value.