Senior Data Journalist

Imprint helps the world's best brands grow the lifetime value of their customers. We started with co-branded credit cards and rebuilt them to be smarter, more rewarding, and brand-first. We partner with companies like Crate & Barrel, Rakuten, , H-E-B, Fetch, and Shell to launch modern credit programs that deepen loyalty, unlock savings, and drive growth. But the card is just the beginning.

We combine advanced payments infrastructure, intelligent underwriting, and deep customer data to create delightful and personalized experiences for members as well as efficient and profitable relationships for our brand partners. Our robust technology and world-class operations allow us and our brand partners to offer powerful financial products without becoming a bank. In the U.S., co-branded cards alone account for over $300 billion in annual spend, and most still run on decades-old legacy bank systems.

Imprint is the modern alternative: flexible, embeddable, and built for how people actually pay today. Backed by Kleiner Perkins, Thrive Capital, Ribbit, and Khosla Ventures, we're building a world-class team to redefine how people pay and how brands grow. If you want to move fast, solve hard problems, and own real outcomes, we want to meet you. As Senior Data Journalist
, you will build Imprint's data storytelling function from the ground up. This is a highly autonomous individual contributor role sitting at the intersection of data science and narrative journalism, the first of its kind at Imprint, and it calls for someone who can operate as a peer to the data science team, not just a consumer of what they hand off.

Working closely with data science, you will independently mine Imprint's payments, merchant, and card member data to surface stories that are credible, data-driven, and genuinely interesting, not promotional. This requires someone who can write production-grade SQL and dbt models themselves, design the analysis with statistical rigor, defend the methodology under scrutiny, and still land the story in clear, compelling prose.

You'll set direction independently, hold a narrative strategy under competing priorities, and ship work consistently.

• Built and operationalized a data room in partnership with the data science team, including the underlying SQL and dbt models needed to continuously mine and surface story candidates from Imprint's payments, merchant, and card member data
• Defined the core narrative pillars that will guide Imprint's data storytelling, grounded in the company's brand positioning and differentiated data position, with each pillar mapped to specific, defensible data sources and methodologies
• Developed an initial content calendar with proposed story formats and publishing cadence, and shipped at least one full story end to end, from raw data to published piece, demonstrating the full workflow

• Write and produce data-driven stories that contribute meaningfully to public discourse around how people live and buy today
• Own Imprint's data storytelling function end-to-end, from writing your own SQL and dbt models to story identification, statistical analysis, and publication
• Independently design and execute the analytical approach for each story, including sampling methodology, statistical significance, and handling of outliers or data quality issues
• Partner with the data science team as a technical peer to build and maintain infrastructure for ongoing story mining across Imprint's proprietary data sets
• Propose and iterate on story formats, publishing cadence, and distribution approach
• Maintain editorial independence: push back on ad hoc data requests that fall outside the narrative strategy
• Collaborate with cross-functional stakeholders, including communications, brand, product marketing, data science, and leadership, to share findings and determine the best ways to distribute stories

Required

• Demonstrated experience in data journalism, with a portfolio of data-driven stories that combine rigorous quantitative analysis and clear written narrative
• Advanced SQL and dbt skills, with real production experience building and maintaining data models, not just querying existing ones
• Working knowledge of statistics, including sampling, significance testing, and how to avoid common pitfalls in observational data, strong enough to defend a methodology under questioning
• Python or equivalent scripting ability for data transformation and analysis beyond…