Business Intelligence Engineer - Fair Lending

We develop cutting edge API driven banking solutions to some of the largest names. You will: Collaborate with cross-functional teams to understand business requirements, data needs, and project priorities, ensuring alignment of data engineering and BI initiatives with strategic objectives Work closely with business users to define KPIs, metrics, and performance indicators, ensuring alignment with strategic objectives and business priorities Develop and maintain interactive dashboards, reports, and data visualizations using BI tools such as Power BI, Tableau, or similar platforms Extract, clean, transform, and load (ETL) data from various sources such as databases, APIs and spreadsheets to support reporting and analysis activities Perform in-depth data analysis to identify trends, patterns, and insights that drive business decisions and improve operational efficiency Provide training and support to end-users on BI tools and dashboards, empowering them to self-serve and explore data-driven insights Be committed to diversity, equity, and inclusion, with a passion for promoting fairness and equality in lending practices You have 5+ years of experience in data analysis, statistical modeling, and predictive analytics within the financial services industry, preferably in Fair Lending or credit decisioning - Must Bachelor's degree in computer science, Engineering, Mathematics, Statistics, or related field - Must (Advanced degree an advantage) 3+ years of experience in business intelligence, data analysis, or a related role, preferably in a consulting or corporate environment- Must Proficiency in BI tools such as Power BI, Tableau, AWS QuickSight, or similar platforms, with hands-on experience developing interactive dashboards and reports - Must Strong analytical skills, with the ability to analyze complex data sets, draw meaningful conclusions, and communicate insights effectively to stakeholders - Must Knowledge of data visualization best practices, including design principles, usability, and accessibility standards - Must Familiarity with programming languages such as Python or R for data analysis and visualization Ability to collaborate with cross-functional teams and stakeholders at all levels of the organization Strong attention to detail, with a focus on data accuracy, completeness, and reliability Ability to work independently and as part of a team in a fast-paced environment Exhibit problem solving skills, strategic thinking, and anticipate future trends and challenges