Hybrid Business Intelligence Lead Business Intelligence Lead

Who we are: At Braviant, we believe in hiring great talent and offering them the flexibility to achieve great results in multiple U.S. locations. Who we are: Braviant is a leading provider of tech-enabled credit products that combines breakthrough technology and cutting-edge machine learning to transform how people access credit online. Our next-generation approach to lending reduces credit barriers and creates a Path to Prime to help millions of underbanked consumers build credit history, reduce their cost of borrowing, and take control of their personal finances. Braviant has been named multiple times to the Inc. 5000 list of fastest growing private companies and has been recognized as a Best Place to Work by Crain’s Chicago, BuiltIn Chicago and American Banker. What you'll be doing:

• Work with internal and third-party data sources to create reports using ad hoc SQL, reporting views, and Looker's business intelligence platform
• Develop reporting to monitor various Key Performance Indicators (KPIs) over time and maintain and document these solutions to drive long-term business value
• Create, maintain, and monitor daily and intra-day data quality checks to ensure the health of the production system and data warehouse reporting
• Develop strategies for monetization of the company data assets
• Define and implement a data governance strategy to ensure the quality and accuracy of reporting across the organization.
• Work cross-functionally with finance, product, marketing, and operations to complete ad hoc analysis to help management and other teams understand and interpret business results and outcomes
• Manage, onboard, coach, and mentor junior BI resources, as needed.
• Communicate complex information to a broad range of audiences and act as a subject matter expert, providing guidance/knowledge-sharing with others when needed
• Make an impact across your team and deliver results through your ability to consider multiple perspectives, measure success effectively, and execute complex project plans
• Take ownership of projects and with a keen eye to anticipate next steps, creatively problem-solve, maintaining strong cross-functional relationships along the way
• Build credibility through meeting your individual goals as well as promoting trust, openness and respectful discussions within the team
  
  
  

What you'll bring:

• Bachelor's degree required, preferably in a quantitative discipline (e.g., mathematics, statistics, operations research, quantitative finance, physics, engineering, computer science)
• 5+ years relevant experience in a BI capacity with experience coaching and managing junior resources
• Proficiency in writing concise and performant SQL queries. Familiarity with other database constructs such as views, materialized views, indices, and ETL processes
• Proficiency and hands-on experience with at least one BI tool are required (such as, Tableau, DOMO, Power BI or QlikView – experience with Looker is a plus
• Experience with dashboard creation and with backend data engineering and administration
• Outstanding knowledge of business and drivers of revenue and cost for companies are key critical to your success. Work experience in the consumer lending industry is a plus but not required
  
  
  

What it's like to work here: We're about achieving results while having fun along the way. We believe in solving problems together and building on each other’s ideas. Our teams are comprised of smart, curious individuals and we encourage everyone to think like an owner, take initiative and drive their careers. Our broad roles provide tremendous opportunities for individuals to acquire new skills, gain exposure to all areas of the business, and quickly see their impact at Braviant. Want to learn more? Check us out on Glassdoor, BuiltIn and our Newsroom. What makes you stand out: Business acumen (successful candidates will have pass up to 2 business case interviews) Proven experience creating dashboards in Looker R or Python experience, particularly for data processing and analysis High-level familiarity with predictive modeling Experience with version control Experience in Agile methodology: Scrum, Kanban, Lean, etc Some familiarity with AWS services such as RDS and EC2 Previous experience in the financial industry