VP Business Intelligence Engineer

We are seeking a talented and experienced Business Intelligence Engineer to join our team. As a Business Intelligence Engineer, you will be responsible for developing, implementing, and maintaining reporting across various departments within our organization. You will collaborate with other teams such as Data, Credit, Finance, Operations, Legal, and other stakeholders to understand business requirements and translate them into reporting solutions. Your expertise in Tableau will play a critical role in enhancing our business intelligence capabilities and enabling data-driven decision-making. Responsibilities: Business Intelligence Development (Tableau or Sigma): Design, develop, and implement dashboards and reports to meet business requirements. Create visually appealing and interactive visualizations that effectively communicate complex data insights to stakeholders. Optimize workbooks and data sources for performance and scalability. Collaborate with business users to gather requirements and translate them into visualizations. Build custom calculations, parameters, filters, and other advanced BI functionalities to address specific business needs. Data Analysis and Reporting: Create comprehensive reports and executive summaries to communicate key findings to stakeholders. Collaborate with business users to define key performance indicators (KPIs) and metrics for monitoring business performance. Automate data refreshes and report generation processes to ensure timely and accurate delivery of insights. Document solutions, data sources, and workflows to maintain knowledge base and promote reusability Requirements Bachelor's degree in Computer Science, Information Systems, Data Science, or a related field. 6+ years of experience as a Business Intelligence Engineer or similar role, with a focus on Tableau or Sigma development and implementation. Experience working with finance-related data sets (ex: FinTech, Lending, Financial Services, or related industries) Proficiency in Tableau or Sigma, including advanced calculations, parameterization, and dashboard optimization. Strong understanding of data modeling concepts and experience working with relational and multidimensional databases. Advanced SQL skills and experience working with complex data sets. Intermediate experience with Python scripting. Strong analytical and problem-solving skills, with the ability to transform complex data into actionable insights. Excellent communication and collaboration skills, with the ability to interact effectively with both technical and non-technical stakeholders. Strong attention to detail and a commitment to delivering high-quality work within deadlines. Experience developing dbt pipelines is a plus