Senior Data Journalist

About the role

Imprint helps the world's best brands grow the lifetime value of their customers through modern co‑branded credit programs that combine advanced payments infrastructure, intelligent underwriting, and deep customer data. As the first Senior Data Journalist, you will build the data storytelling function from the ground up, operating as a peer to the data science team, mining payments, merchant, and card member data to surface credible, data‑driven stories, writing production‑grade SQL and dbt models, designing analyses with statistical rigor, and delivering clear, compelling prose.

Responsibilities

• 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.

Qualifications

• 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.

Benefits

• Competitive compensation and equity packages
• Leading configured work computers of your choice
• Flexible paid time off
• Fully covered, high‑quality healthcare, including fully covered dependent coverage
• Additional health coverage includes access to One Medical and the option to enroll in an FSA
• 20 weeks of paid parental leave for the primary caregiver and 8 weeks for all new parents
• Access to industry‑leading technology across all business units

Pay

Compensation Range: $150K - $200K