• Partners to maintain and/or develop innovative methods to meet client information needs using design principles for creating meaningful displays of quantitative and qualitative data to facilitate effective business decision-making. • Follow consistent practices to ensure data integrity and deal with imperfections in data. • Effectively process structured data; proficiently integrate data sets from various sources; draw conclusions from data. • Collaborate with business stakeholders as needed to ensure solid data understanding and proper data transformation; work cross-functionally with development and engineering teams. • Analyze large amounts of information to discover trends and patterns; confidently draw conclusions from data and gain actionable insights from data. • Uses strong analytic skills working with various data and reports, generates analysis, draws conclusions, discovers insights and makes recommendations in line with the scope of work. • Creates descriptive reports that monitor metrics and outcomes. • Utilizes data proactively to uncover opportunities for improvement (including advanced techniques such as forecasting, optimization and data mining when appropriate) • Identify data requirements and address unforeseen data complexities to mitigate the impact on outcome and associated decisions. • Choose appropriate data visualization tools and adhere to corporate standards for performance metrics, data collection, data integrity, query design, and reporting format; appropriate analytic methods used in the analysis. • Use of SQL/Snowflake/Databricks database to store, manipulate and query data for reporting to internal / external clients. • Monitors data & automated reports to assure quality & accuracy in reporting • Acts as contact for internal and external clients to provide education surrounding BSMH data and document adhoc analysis requests. • Communicates customer data & intel to leadership; supporting operational efficiency and effectiveness • Works with BSMH leaders to develop tools to maintain quality, productivity and identify opportunities for improvement. May assist in the development of the database.