Senior Data Scientist, Finance Analytics
Confirmed live in the last 24 hours
Extend
Compensation
$120,000 - $129,000/year
Job Description
About Extend:
Today, Extend works with more than 1,000 leading merchant partners across industries, including fashion/apparel, cosmetics, furniture, jewelry, consumer electronics, auto parts, sports and fitness, and much more. Extend is backed by some of the most prominent technology investors in the industry, and our headquarters is in downtown San Francisco.
Name of Employer: Extend, Inc.
Position Title: Senior Data Scientist, Finance Analytics
Position Location: 220 Montgomery Street, Ste 2000, San Francisco, CA 94104
Salary: $120,000 - $129,000 per year
Hours: Monday – Friday, 9:00 am to 5:00 pm
Summary of Duties:
- Own the monthly revenue forecast process and assist in the quarterly/annual financial planning of Extend.
- Build reports and dashboard to help monitor / track revenue performance in a timely manner and make business recommendations based on the monitoring.
- Perform exploratory data analysis to assemble metrics and KPIs to assess and gauge activity across the Extend platform, and support teams throughout Extend by delivering analyses and process improvements to help the business continue to scale.
- Support business operations, finance, revenue operations, and other internal teams by building analytics and reporting to understand overall business performance and increase organizational efficiencies.
- Work with data engineering and product teams to ensure proper data tracking is set up for features and products, and support debugging and development of new ETL processes.
- Collaborate with stakeholders across the organizations to establish the highest business priorities and opportunities by measuring expected reach and impact for operations focused teams.
- Work with our Risk & Insurance team to build deep-dive analytics to help drive step-change improvements in efficiency (beyond day-to-day workforce management).
Telecommuting is permitted within the U.S.
Education requirements: Bachelor’s degree in Data Science, Analytics, Business, Management, or closely related field.
Experience requirements: &n
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