Data Analytics Lead
- Portland, OR
- Alternate Location: St. Louis, United States
Loved by customers and pop culture, we’ve consistently held the top spot for finance in the App Store for many years, seeing more engagement with millions of followers across social media in a day than most brands see in a year. We are building an ecosystem to redefine the world’s relationship with money by making it universally accessible.
We want to hire the best talent regardless of location. Our employment model is distributed, offering the opportunity to collaborate with teams across the world in San Francisco, New York, St. Louis, Portland, Toronto, Kitchener-Waterloo, Sydney, and Melbourne.
Interested in learning more?
Cash App is looking for an Analytics Lead to build and manage our Customer Success analytics team for our Customer Operations group.
This role will be within our Cash Customer Operations team, building the strategy, infrastructure, processes, and tools which maximize customer happiness, team happiness, and operational efficiency.
You will need to lead a team of data analysts to synthesize insights from the vast amount of data captured by Cash, and partner closely with your data engineering counterpart. You will collaborate with key support team stakeholders to craft strategies to improve the performance of the team. You will also work with other Cash teams to generate and share learnings and drive the execution on your strategic recommendations through project management.
The successful candidate will combine a passion for innovative analysis with the ability to build, engage, and retain a team of highly talented analysts. Ideally, this person will have worked in a similar role (operations, support, analytics), and will feel comfortable interacting with other stakeholders and senior management on a regular basis.
Bachelor's degree required, with major in analytical or technical field strongly preferred
5+ years of analytical experience, in product / BI analytics, business operations
3 years experience in people management.
Expertise with SQL beyond querying: schema and ETL design, query optimization, data pipeline maintenance. Experience with reporting and visualization platforms (e.g. Tableau, Looker)
Familiarity with scripting/programming for data mining and modeling (R, Python) and ETL development (Ruby, Python)
Statistics basics required; significant experience working with AB tests preferred
Proven ability to hire and develop top talent
We will consider for employment qualified applicants with criminal histories in a manner consistent with each office’s corresponding local guidelines.