Consumer Insight & Strategy Analyst

Responsibilities

• Analyze trends, patterns, and performance drivers across consumer banking products, channels, and customer segments using reports and dashboards.
• Translate data and analytical findings into clear, concise insights and narratives that inform senior leadership decision-making.
• Develop high-quality executive presentations, including recurring performance readouts and ad hoc deep dives, for senior management and leadership forums.
• Serve as a key liaison between business stakeholders and data science / analytics teams to ensure dashboards, reports, and advanced analytics initiatives (including machine learning use cases) align with business needs and strategic objectives; help frame business problems, assess model performance, and interpret model outputs and key drivers to inform business decisions.
• Navigate, interpret, and leverage dashboards and reports built in Power BI to answer business questions and proactively identify emerging trends.
• Perform advanced analysis and modeling using Excel, including forecasting, scenario analysis, variance analysis, and performance tracking; leverage additional analytical tools where appropriate.
• Support continuous improvement of reporting and dashboard usage by identifying gaps, opportunities, and evolving business questions.
• Ensure analytical outputs are accurate, consistent, and clearly understood by non-technical audiences.
• Contribute to a culture of data-driven decision-making across the Consumer Bank.

Requirements

• Strong ability to interpret and synthesize insights from dashboards, reports, and large data sets.
• Advanced proficiency in Microsoft Excel (e.g., pivot tables, formulas, modeling, data validation).
• Experience navigating and using Power BI dashboards to extract insights and support business analysis.
• Proven experience building clear, compelling presentations and presenting findings to senior leadership.
• Strong written and verbal communication skills, with the ability to tailor messages for executive audiences.
• Ability to work effectively with data scientists, analytics teams, and technical partners without needing hands-on SQL or Python expertise.
• Strong business judgment, critical thinking, and attention to detail.
• Able to manage multiple priorities in a fast-paced, deadline-driven environment.