Serve as the primary point of contact and subject matter expert for business partners and leadership, providing insights on business product portfolio performance and offering strategic recommendations for ongoing optimization.
Gather, analyze, and interpret a wide variety of data to identify causal relationships, trigger points, and ultimately make predictions on customer behavior and portfolio performance.
Analyze data from multiple sources, including internal/external data, data warehouses, etc.
Provide precise, timely, and actionable insights to support business partners in strategic decision-making, performance tracking, and identifying growth opportunities and risk mitigation.
Utilize tools for reporting and analytics, including but not limited to Data Cubes, Power BI, Databricks, Palantir, Azure, etc.
Serve as a bridge between business stakeholders and technical teams to align data needs and reporting with strategic goals and identify areas for improvement through research and facilitation.
Reconcile and resolve data discrepancies with business partners.
Utilize an understanding of system flows (sales, credit, collections, billing, payments) and data warehouse/reporting flows to validate the accuracy of reported data and investigate anomalies to isolate root cause issues in reporting and/or gaps in processes and systems that may be causing financial losses. Quantify and communicate impacts on business performance results to leadership. Pursue remediation of identified issues with partners across functional areas.
Develop a centralized and well-documented framework for reporting sources/tools, integrating data from multiple disparate sources. Develop training instructions and a data dictionary to support business unit self-serve ability for routine reporting KPIs.
Apply advanced skills in the use of trend analysis, statistics, and other data analysis techniques to collect, explore, and identify the appropriate data to be analyzed from internal and external sources to explain or predict behavior, identify and resolve a variety of business problems, and build business cases.
Partner with Data Scientists to establish business requirements, guide implementation, and measure the impact of probabilistic models
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