Engineering · Poland · Remote possible
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.
We’re looking for a hard-working, driven data practitioner to join our Revenue Analytics team. Revenue Analytics serves as the analytics backbone of the Revenue organization at Affirm. We follow a data-driven approach that combines elements of both strategy and analytics to drive decisions around both GTM strategy and revenue management with the goal of simultaneously scaling and strengthening Affirm’s commercial offerings.
As a Lead on the Revenue Analytics team, you will build robust data products that enable Affirm’s sales teams, revenue leadership, and other revenue analysts. Your work will shape the direction of revenue strategy and provide teams with a better understanding of the health of our business. Your work will include building end-to-end data solutions spanning problem formation, ingestion, data modeling, metric definition, dashboard development, analysis, and enablement. The ideal candidate will have deep technical and analytical problem solving skills and be comfortable working closely with Revenue and Data Engineering teams to develop reporting infrastructure and perform analysis.
Develop critical data sources, data models, metrics, dashboards, and automation processes for sales/client success, revenue leadership, and other revenue analysts
Build and maintain data models in dbt and Looker and develop new dashboards to highlight critical information to our revenue teams
Execute end-to-end analytics roadmap for the revenue organization by partnering closely with commercial leadership, sales/client success, engineering, and other analytics teams
Work with Business Systems and Data Engineering teams to define data infrastructure and maintain a strong understanding of our evolving data warehouse
Explore 3rd party data sources to solve commercial use cases and develop the required data infrastructure and solutions to make them actionable
Work with enablement teams to develop data products (self-serve dashboards, BI tools, reports), scale usage, and shape training content to improve adoption
Improve the overall efficiency of the revenue analytics team through automation and implementation of best practices
5+ years work experience in a business intelligence or a data analyst role
Strong working knowledge of SQL, Python, data modeling, and data visualization
Hands-on experience with BI tools (Looker/Tableau), Databricks, and cloud data warehouse/lake technologies (Snowflake, s3). Experience with dbt preferred
Familiarity with Salesforce and supporting revenue generating areas of the business
Ability to identify user needs and translate them into robust, scalable data products
Ability to start with an ambiguous problem, deconstruct it into tangible steps, and work towards an impactful solution
Ability to communicate findings and recommendations clearly to both technical and non-technical audiences
Experience working with multi-functional teams and collaborating with business engineering partners in data management and analytics initiatives
Pay Grade - POL30
Employees new to Affirm or promoted into a new role, typically begin in the min to mid range.
POL base pay range per year:
Min: 264,500 zł
Mid: 330,600 zł
Max: 396,800 zł
We offer a competitive package, with some highlights listed below. However, the given figures are not guaranteed compensation ranges; rather, they are unbinding, approximate indications of what the salary may be for your awareness. The actual salary may be less than the lower range or greater than the upper range, depending on skills and experience. No employee is guaranteed salary at the amount of the lower range.
Location - Remote Poland
The majority of our roles can be located anywhere in Poland.
#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.
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