Business Intelligence Engineer

at  Kafene

Kafene is a leading point-of-sale financing partner dedicated to empowering flexible ownership solutions for underserved customers nationwide. By enabling our retail partners to offer flexible lease-to-own (LTO) purchase options for prime and nonprime consumers, Kafene helps merchants grow their customer base and meet the growing demand for furniture, appliances, electronics, tires, and other durable goods. Utilizing more than 20,000 data inputs in tandem with cutting-edge AI and machine learning technologies, our platform creates a best-in-class experience for both merchants and customers. With over $250 million in sales since inception, we are rapidly growing and looking to expand our team.
We take pride in fostering a dynamic workplace culture that values collaboration, innovation, and mutual support. Our team of 100 is spread between a NYC headquarters, a Wilmington office, and fully remote staff across the country. Last year, we were selected for Built In Startups to Watch and Forbes’ Best Startup Employers.
The Data Engineering Team is the driving force behind our data-driven culture at Kafene. We partner closely with Kafene’s Risk, Technology, Sales, and Product teams to understand the various business processes that make up our users’ day-to-day responsibilities and help to identify areas of improvement
We are seeking a Business Intelligence Engineer to join our growing team. This role will be responsible for helping provide technical experience in extracting, integrating, and analyzing critical data that helps to identify complex business challenges, identify opportunities, and assist in the designing of solutions to improve our operations. The ideal candidate is extremely collaborative with excellent communication skills and is relentless in their pursuit of project completion.

CORE SKILLS AND QUALIFICATIONS:

• Bachelor’s degree in BI, finance, engineering, statistics, computer science, mathematics, finance, or equivalent quantitative field.
• 3+ years of work experience in data engineering, and business intelligence engineering.
• Experience presenting findings + collaborating with cross-functional teams.
• Excellent interpersonal, written, and oral communication skills.
• Experience with AWS technologies, SQL, Python warehousing, and building ETL pipelines, and BI Dashboards.
• Keen attention to detail, obsessively organized with excellent documentation skills.

• Building of ETL processes using Python and SQL.
• Development of CI/CD pipelines for our various tools and technologies (Snowflake, DBT, AWS Services).
• Continued maintenance and build out of our internal data warehouse/datamarts.
• Support Partnership opportunities, and interface with Tech, Risk, RevOps, and Marketing to execute cross-functional projects.
• Analyze and investigate data defects, and engage with stakeholders to understand the root causes.