Lead Business Intelligence Analyst, Client and Program Impact
Color- Full Time
- Junior (1 to 2 years)
Candidates should possess a Bachelor’s degree in Computer Science, Information Systems, or a related field, with a minimum of 7 years of experience in business intelligence and data engineering. Strong SQL skills are essential, including proficiency in complex queries, performance optimization, and data modeling techniques such as Kimball or Data Vault. Experience with dashboarding tools like Tableau, Power BI, or Metabase is required, as well as familiarity with data governance and data quality principles. Experience with ETL tools and cloud platforms is a plus.
As a Lead Business Intelligence Engineer, you will oversee the design, development, and maintenance of BI solutions, leading a team of BI developers and analysts. You will be responsible for utilizing advanced SQL techniques to solve complex analytical problems, designing and maintaining scalable data models, and providing technical guidance to the team. You will collaborate with stakeholders to understand their data needs, develop insightful analytics and dashboards, and communicate complex technical concepts to non-technical staff. Furthermore, you will manage project timelines and resources, and foster a culture of innovation and continuous improvement within the BI team.
Cloud-native payment card processing platform
Zeta provides a platform for payment card processing that is designed for banks, financial institutions, and fintech companies. Their main product, the Omni Stack, allows clients to easily create and manage digital credit, debit, and prepaid card programs. This platform works by integrating with existing systems through APIs, which helps streamline the payment processing experience. Zeta stands out from its competitors by focusing on cloud-native solutions and ensuring compliance with important regulations, which helps build trust with their clients. The company's goal is to make payments seamless and less noticeable in everyday transactions, moving towards a future where payments are 'invisible'.