Data Visualization Analyst

Position Summary

Key Responsibilities

• Financial & Risk Scenario Modeling ● Design and build financial forecasting and risk modeling solutions using Python, R, and SQL to help clients understand potential outcomes and make strategic decisions. ● Develop scenario models (e.g., revenue forecasts, financial projections, risk assessments) from requirements gathering through validation, ensuring accuracy and business alignment. ● Extract, transform, and prepare large datasets using SQL and Python/R to support modeling workflows. ● Validate model outputs, document assumptions and methodologies, and communicate technical details to both technical and non-technical stakeholders. ● Deploy models to production environments, establish monitoring protocols, and maintain model performance over time. Visualization, Dashboards & Model Integration ● Transform financial models and scenario outputs into interactive dashboards and reports using Tableau, Power BI, or similar tools that allow clients to explore results and test assumptions. ● Design intuitive user interfaces that guide clients through model scenarios and clearly communicate insights, risks, and opportunities. ● Build dynamic, client-facing analytical tools that integrate model logic with visualization—enabling teams to adjust inputs and see real-time output changes. ● Support model deployment to business intelligence platforms and ensure visualizations remain accurate as underlying models are updated or refined. Internal Collaboration & Lifecycle Support ● Partner with internal consulting and account teams to understand client requirements, translate business questions into modeling objectives, and iterate on solutions. ● Monitor production models for data quality issues, performance drift, or accuracy concerns; troubleshoot and document incidents. ● Maintain clear documentation of model logic, assumptions, data sources, and visualization design decisions for knowledge retention and handoffs. ● Contribute to team knowledge-sharing, best practices, and process improvements in financial modeling and analytics tooling.