Business Intelligence Engineer
New York, NY
Engineering – Engineering /
Full-time /
On-site
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 non-prime consumers, Kafene helps merchants grow their customer base and meet the increasing demand for furniture, appliances, electronics, tires, and other durable goods. Utilizing over 20,000 data inputs alongside cutting-edge AI and machine learning technologies, our platform creates a best-in-class experience for both merchants and customers. With over $300 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 150 is spread across our NYC headquarters, a Wilmington office, and fully remote staff nationwide. Last year, we were recognized as one of Built In's 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.
Key Responsibilities:
- 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.
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.
Compensation & Benefits:
- Earn a competitive base salary ranging from $130,000 to $150,000.
- Healthcare: We prioritize your well-being by covering 80% of medical, dental, and vision insurance costs, including coverage for your spouse, children, and other dependents.
- Retirement Benefits: Begin planning for your future from day one with our 401k plan.
- Paid Time Off: We understand the importance of work-life balance. That's why we offer flexible paid time off days starting from day one of your employment.
Kafene is an equal-opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other legally protected characteristics. If you are applying for a job in the U.S. and need a reasonable accommodation for any part of the employment process, please send an e-mail to jobs@kafene.com and let us know the nature of your request and contact information. Please note that only those inquiries concerning a request for reasonable accommodation will be responded to from this email address.
