Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without any hidden fees or compounding interest.
The Revenue Analytics team is responsible for providing data-driven insights and analytics solutions to Revenue leadership, cross-functional internal stakeholders, and external partners across a variety of strategic initiatives and topics, optimizing decisions and execution.
As a Manager on the Revenue Analytics team, you will support a Revenue segment to drive the segment’s growth strategy and measure progress against it. You will have strong analytical and problem solving skills, the ability to craft compelling narratives, and experience with producing tools and processes to scale data usage within an organization. In addition to analytical rigor, you will have strong interpersonal skills to work within the organization and with external partners to drive forward segment optimization recommendations.
The ideal candidate will have a demonstrated track record of solving complex problems through data analytics. Furthermore, the ideal candidate will need to have the persistence as well as aptitude to initiate and lead projects from end to end.
What You'll Do:
Optimize Decision Making and Execution
Act as a strategic cross-functional partner to a Revenue segment by providing thought leadership through the execution of advanced data analysis and presentation in the form of actionable insight
Establish oneself as an internal Subject Matter Expert (SME) on the assigned Revenue segment across a range of topics by framing decisions in the context of trade-offs for the segment
Operate as Affirm’s Analytics Point of Contact (POC) to key external stakeholders by developing a strong working relationship to enable success of shared business goals
Own Comprehensive Analytics Solution
Drive definition of KPIs, performance benchmarks, and leading indicators by performance for assigned Revenue segment by identifying and working with unstructured and structured data sources (in-house and third-party)
Identify and leverage tools like business cases, A/B tests, and performance reporting dashboards to engage Affirm’s external partners to continuously demonstrate Affirm’s value proposition and product performance
Scaling Impact
Analyze external GTM motions as well as internal processes in the long-tail merchant portfolio to find optimization opportunities in helping the organization scale
Identify common analytics processes, create the appropriate data infrastructure, and evangelize throughout the organization to scale ability for organization to apply data in decision-making
What We Look For:
6+ years of combined work experience in analytically-driven roles (e.g. consulting, finance) and / or analytics roles at other mid-to-large scale Tech organizations
Strong working knowledge of analytical and data visualization tools including SQL, Looker, and Python for data analysis and modeling
Experience with modeling unstructured data by leveraging common industry tools (e.g. dbt, Fivetran) to unify multiple heterogeneous sources into one unified single source of truth
Extensive experience building and driving adoption of KPI frameworks to evaluate business health
Prior success in building strong relationships with decision makers in large external organizations
Exceptional problem-solving skills, including ability to operate in ambiguity and establishing analytical frameworks to apply to business problems
Ability to communicate effectively, and craft compelling narratives to influence business and technical stakeholders across all levels of the organization
Strong organization and execution skills, including ability to operate independently and drive multiple strategic initiatives simultaneously to drive business goals
Experience collaborating effectively with cross-functional stakeholders across the organization
Pay Grade - M
Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills.
Base pay is part of a total compensation package that may include equity rewards, monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents.)
USA base pay range (CA, WA, NY, NJ, CT) per year: $180,000 - $230,000
USA base pay range (all other U.S. states) per year: $160,000 - $210,000
#LI-Remote
Affirm is proud to be a remote-first company! The majority of our roles are remote and you can work almost anywhere within the country of employment. Affirmers in proximal roles have the flexibility to work remotely, but will occasionally be required to work out of their assigned Affirm office. A limited number of roles remain office-based due to the nature of their job responsibilities.
We’re extremely proud to offer competitive benefits that are anchored to our core value of people come first. Some key highlights of our benefits package include:
We believe It’s On Us to provide an inclusive interview experience for all, including people with disabilities. We are happy to provide reasonable accommodations to candidates in need of individualized support during the hiring process.
[For U.S. positions that could be performed in Los Angeles or San Francisco] Pursuant to the San Francisco Fair Chance Ordinance and Los Angeles Fair Chance Initiative for Hiring Ordinance, Affirm will consider for employment qualified applicants with arrest and conviction records.
By clicking "Submit Application," you acknowledge that you have read the Affirm Employment Privacy Policy for applicants within the United States, the EU Employee Notice Regarding Use of Personal Data (Poland) for applicants applying from Poland, the EU Employee Notice Regarding Use of Personal Data (Spain) for applicants applying from Spain, or the Affirm U.K. Limited Employee Notice Regarding Use of Personal Data for applicants applying from the United Kingdom, and hereby freely and unambiguously give informed consent to the collection, processing, use, and storage of your personal information as described therein.
Last updated on Aug 22, 2024
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