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LendingClub

Sr Growth Analytics Manager

Posted Yesterday
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In-Office
San Francisco, CA
156K-183K Annually
Senior level
In-Office
San Francisco, CA
156K-183K Annually
Senior level
The Sr Growth Analytics Manager drives customer acquisition through advanced analytics, optimizing marketing investments, conducting experiments, and collaborating across teams.
The summary above was generated by AI
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

The Sr Growth Analytics Manager will play a critical role in driving new customer acquisition for LendingClub’s Personal Loans business, with a focus on paid digital channels. As a senior individual contributor on the Marketing Analytics team, this role owns measurement strategy and analytical insights that guide how marketing investments are planned, optimized, and scaled.
You will act as a thought partner to paid media and partner marketing leaders, helping navigate a complex measurement landscape. This includes developing robust approaches to incrementality, attribution, and ROI; designing and evaluating lift tests; and translating platform-level signals into clear business impact. The role leverages modern analytics and AI-enabled tools to accelerate insight generation, surface trends and anomalies, and improve the speed and clarity of experimentation analysis and results communication.
This role combines hands-on analytics with strategic influence. You will shape the learning agenda across acquisition channels, identify growth and efficiency opportunities through rigorous analysis, and communicate insights that influence senior stakeholders across Marketing, Product, Credit Risk, and Engineering. This role sits at the intersection of marketing strategy, experimentation, and advanced analytics.

What You'll Do

Measurement, Experimentation, and Learning

  • Own measurement strategy for paid acquisition, including incrementality, attribution, and ROI
  • Design and evaluate lift tests and experiments to quantify true incremental impact
  • Define and execute the learning agenda across key acquisition channels
  • Translate experimental and platform signals into clear, business-aligned insights

Optimization and Investment Decisions

  • Guide budget allocation and optimization using ROI and marginal return analysis
  • Build scenario analyses and business cases to support media investment decisions
  • Support partner contract optimization through analytical modeling and performance evaluation

Advanced Analytics and Tooling

  • Conduct hands-on analysis using SQL and Python with notebook-based workflows
  • Leverage AI-enabled tools for trend analysis, anomaly detection, and insight synthesis
  • Develop dashboards and reporting that surface meaningful KPIs without metric overload

Communication and Collaboration

  • Communicate insights and tradeoffs to senior marketing and cross-functional leaders
  • Partner closely with Marketing, Product, Data Science, and Engineering teams

About You

  • 6+ years of analytics experience supporting marketing and/or customer acquisition
  • Bachelor's degree in a quantitative field; or equivalent hands-on analytical experience
  • Strong SQL and Python skills, using notebooks for analysis and experimentation
  • Deep understanding of paid media measurement, incrementality, and attribution
  • Experience translating adtech and platform metrics into business-relevant insights
  • Demonstrated successes using AI-tooling for trend analysis, anomaly detection, and insight production
  • Ability to independently own ambiguous analytical problems and deliver clear recommendations to guide investment decisions
  • Strong communicator and collaborator across Marketing, Product, Data Science, and Engineering

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 156,000-183,000. 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-GB1


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 [email protected]

Top Skills

Python
SQL
HQ

LendingClub San Francisco, California, USA Office

595 Market St, #200, San Francisco, CA, United States, 94105

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