How will you make an impact in this role?
The GCS Product Analytics group is currently hiring for a Senior Analyst, Business Banking Analytics who will be responsible for delivering insights to optimize performance, inform product design, and drive customer engagement with the Business Banking portfolio. The ideal candidate will be passionate about leveraging a deep understanding of customer and product data to drive business performance. He or she will bring a unique balance of technical skills combined with a strategic mindset and the ability to communicate effectively.
What you’ll be doing:
Support product strategy & decision making by conducting in-depth ad hoc analysis and deep dives into data to evaluate effectiveness of product campaigns and features
Become an expert in product and develop deep understanding of technical and functional capabilities
Define and deliver robust and scalable reporting that provides accurate and timely visibility into key product metrics and trends
Evaluate and integrate new data sources by performing data profiling and validation, and design structured, scalable datasets to support reliable reporting, analytics, and business decision-making
Design and implement scalable dashboards and data tools to enable business users to access product data in self-service fashion
Complete end-to-end analytical projects with minimal direct supervision, including scoping, data preparation, data analysis, and visualization
Communicate conclusions, implications and recommendations of analyses in a clear, concise fashion.
What we're looking for in you:
Prior experience in an analytical role, performing deep-dive analyses and defining key business metrics that drive strategy; Financial services experiences is a plus
Bachelor’s degree in a quantitative field (e.g. statistics, engineering, math, science, economics, etc).
Experience working with large datasets, including experience planning, conducting, interpreting, and explaining the outcomes of data analyses
Extensive experience with analytic tools and visualization software (e.g., Tableau, Looker)
Experience working collaboratively across teams and with partners across all levels of an organization
Demonstrated strength in written and verbal communication, adjusting message to audience and succinctly summarizing complex concepts
Extremely strong SQL skills and proficiency in a scripting language (Python or R) for data analysis
Familiarity with statistical methods and concepts
What you should have:
Analytical Skills: Able to structure and process qualitative or quantitative data and draw insightful conclusions
Flexibility/Adaptability: Not thrown off by frequently changing priorities and conditions; copes effectively with complexity and change
Drive & Persistence: Proactive & self-driven; Resourceful, has grit, and a positive “can do” attitude. Possesses a strong willingness to work hard and efficiently to get the job done
Collaboration: Ability to successfully influence and bring together internal and external stakeholders to achieve shared goals
Communication Skills: Communicates information, ideas, and concepts clearly
Attention to Detail: Does not let important details slip through the cracks or derail a project
Lots of questions: Curious, loves learning. Not willing to accept surface level answers