Lead Data Analytics Engineer

Current Employees of LendingClub: Please apply via your internal Workday Account

LendingClub Corporation (NYSE: LC) is the parent company of LendingClub Bank, National Association, Member FDIC. We are the leading digital marketplace bank in the U.S., having helped our nearly 5 million members secure over $90 billion in loans to refinance high-cost debt and achieve their financial goals. Members today have mobile-first access to a growing range of products and services designed to work seamlessly together to deliver value in new ways. Everyone deserves a better financial future, and our team is committed to making that a reality. Join the Club!

About the Role

Our mission at LendingClub is to empower those who strive to achieve better financial health. The Big Data Analytics Platform team plays a crucial role in achieving our mission. We are seeking a Lead Data Analytics Engineer for our Analytics Platform to help onboard customers onto our warehouse and data marts. In our data and analytics team you will have the opportunity to understand business use cases and help them map these to our modern data and analytics stack. We have PB scale data and intend to provide lead edge products. You will enable our business teams to leverage modern cloud native stack to take business decisions to enable LendingClub to be a data driven company.

What You'll Do

• You will work closely with business teams to help them start to use our modern data and analytics stack. You will work with business analyst to help them query data on an ad-hoc basis
• You will take ad-hoc business use cases and analyze the data warehouse and marts to enable business be data driven by helping them discover new insights
• You will understand LendingClub’s data usage, and deliver optimal data analysis
• You will identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, reduce Cloud cost, etc.
• You will work with stakeholders including the Business, Product, Program and Engineering teams to deliver required data in time with high quality at reasonable cost
• You will build and maintain robust, reusable, and well-documented data transformation pipelines using dbt, ensuring data models are version-controlled, tested, and easily understood across teams.
• You will work with technologies such as Snowflake, Tableau, Spark, Kafka, Presto etc. and cloud technologies across AWS stack
• Implement processes to validate and monitor data quality and support operations to manage the production environment and lead in resolving production issues with RCA
• Identify, design, and implement automated processes, optimizing analytics, re-designing infrastructure for greater scalability, etc.
• You will work closely with Quality Engineers, and lead products across all data use cases. 

About You

• 8+ years’ experience and bachelor's degree in computer science or a related field; or equivalent work experience
• 8+ years of solid professional experience as a data analyst using data warehouses, and marts
• 7+ years of solid production quality data analyst (Sql) helping business be data driven
• Hands-on experience developing and managing data models in dbt, including version control, testing, documentation, and deployment best practices.
• In-depth working experience of distributed systems distributed database with cloud experience. Working with Spark, Hive, Kafka, Airflow is a strong plus. Familiarity with Snowflake is a plus
• 6+ years of experience with OLTP and OLAP use cases at scale
• Experience working with public