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 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 You’re 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 role. The locations have been determined to foster in-person collaboration with this role’s team or the related business lines. We utilize a hybrid work model, and our teams are in-office Tuesdays, Wednesdays, and Thursdays. In-person attendance is essential for this role’s success, and remote placement will not be considered. LendingClub 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 190,000-217,000. 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 LendingClub’s 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). We’re 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 interviewaccommodations@lendingclub.com. At LendingClub, we’re helping millions of Americans take control of their financial lives. We help people with respect and fairness, and that ideal shapes how we work, how we treat each other, and how we invest in our employees and our community. Join us in using data, bold thinking, and a commitment to innovation to help put millions of Americans on a path to financial success. Please review LendingClub's Work-related Privacy Disclosure.