Lead Data Analytics Engineer

San Francisco, CA - USA

Monthly Salary: Not Disclosed

Posted on: 30+ days ago

Vacancies: 1 Vacancy

Job Summary

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 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 Youll 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 LendingClubs 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 bachelors 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 cloud platforms preferably AWS
Familiar with Agile methodology test-driven development source control management and automated testing
Experience supporting and working with cross-functional teams in a dynamic environment
Experience with technical leadership of products and teams
Youre passionate about Big Data Analytics Cloud and transforming business to be data driven
You have excellent listening skills and are empathetic to others
You believe in simple and elegant solutions and give paramount importance to quality
Passionate with good understanding of data with a focus on having fun while delivering incredible business results

Work Location
San Francisco

The above locations are eligible offices for this locations have been determined to foster in-person collaboration with this roles team or the related business lines. We utilize a hybrid work model and our teams are in-office Tuesdays Wednesdays and -person attendance is essential for this roles success and remote placement will not be offers relocation based on actual job level.

Time Zone Requirements
Primarily PT

While the position will primarily work local hours LendingClub is headquartered in Pacific Time and our ideal candidate will be flexible working across time zones when necessary.

Travel Requirements
As needed travel to LendingClub offices and/or other locations as needed.

Compensation
The target base salary range for this position is 00. The base salary of the role will be determined by job-related knowledge experience education skills and location. Base salary is just one part of LendingClubs Total Rewards package. You may also be eligible for long-term awards (equity) and an annual bonus (which is based on company performance employee performance and eligible earnings).

Were creating new financial services solutions for our members based on fairness simplicity and heart and we treat our employees the same way. We offer a competitive benefits package that includes medical dental and vision plans for employees and their families 401(k) match health and wellness programs flexible time off policies for salaried employees up to 16 weeks paid parental leave and more.

#LI-Hybrid
#LI-JH1

LendingClub is an equal opportunity employer and dedicated to diversity equity and inclusion in the workplace. We do not discriminate on the basis of race religion color national origin sex (including pregnancy childbirth reproductive health decisions or related medical conditions) gender gender identity gender expression sexual orientation age marital status veteran status disability status political views or activity or other applicable legally protected characteristics. We believe that a variety of perspectives will make our teams and business stronger as we work together to transform the traditional banking system.

We are committed to providing reasonable accommodations for qualified individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability please contact us at

Current Employees of LendingClub: Please apply via your internal Workday AccountLendingClub 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 ove...

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

About the Role

What Youll 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 LendingClubs 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 bachelors 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 cloud platforms preferably AWS
Familiar with Agile methodology test-driven development source control management and automated testing
Experience supporting and working with cross-functional teams in a dynamic environment
Experience with technical leadership of products and teams
Youre passionate about Big Data Analytics Cloud and transforming business to be data driven
You have excellent listening skills and are empathetic to others
You believe in simple and elegant solutions and give paramount importance to quality
Passionate with good understanding of data with a focus on having fun while delivering incredible business results