Senior Data Journalist

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...

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 ...

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...

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

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 what SQL alone can do
Ability to independently QA your own work, build reproducible, version-controlled analyses that are retrospectively defensible if and when questioned, and maintain a high bar for quality and reliability with no analytics team backstopping you
Strong writing and the ability to translate complex, technically rigorous data into compelling, accessible stories for a broad audience
Track record of working independently to identify, develop, and publish stories without heavy direction
Ability to hold a narrative strategy and push back constructively when requests fall outside of it
Comfort operating in ambiguous, fast-moving environments where the function, and its technical infrastructure, is being built for the first time
Experience with dbt testing frameworks, data pipeline orchestration, or building analytics infrastructure from scratch
Data visualization or graphic design skills
Background in economics or applied statistics, or familiarity with consumer finance, payments, or related verticals
Experience at a media outlet, think tank, nonprofit, or organization with an established data journalism function