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Description:
Imprint is a next-generation co-branded credit card company serving major brands in America.
The Data Analytics team builds the data foundation for smarter decision-making, supporting daily operations and long-term strategy.
The role involves applying statistical inference, experimentation, and behavioral analytics to improve LTV/CAC and accelerate feedback loops.
Responsibilities include championing A/B testing, designing and analyzing tests, building segmentation frameworks, and translating data into narratives that influence product decisions and marketing campaigns.
The position also supports automation projects such as anomaly detection and internal reporting tools.
Requirements:
Candidates must have 6+ years of experience in data science, analytics, or a related field, preferably in a high-growth startup or fintech company.
Proven expertise in statistical inference, causal analysis, and experimentation design is required.
Experience with marketing or product analytics, including user segmentation and campaign attribution, is necessary.
Strong SQL and Python skills are essential, with the ability to transform raw data to create necessary data sets.
A highly analytical mindset with a bias toward action is expected.
Candidates must be able to communicate complex findings to both technical and non-technical audiences.
The ability to own projects end-to-end and collaborate cross-functionally is important.
Benefits:
The position offers competitive compensation and equity packages.
A flexible vacation policy is provided.
Employees receive fully covered, high-quality healthcare, including dependent coverage.
Additional health coverage includes access to One Medical and the option to enroll in an FSA.
The company offers 16 weeks of paid parental leave for the primary caregiver and 8 weeks for all new parents.
Employees have access to industry-leading technology across all business units to foster innovation and productivity.
Apply now
Please, let Imprint know you found this job
on RemoteYeah
.
This helps us grow π±.