Job Overview
Location
New York City
Job Type
Full-time
Category
Data Science
Date Posted
June 13, 2026
Full Job Description
đź“‹ Description
- • Design, build, and maintain scalable data models, semantic layers, and data visualizations that serve business-critical reporting needs across Engineering, Product, Finance, Marketing, and Operations.
- • Partner directly with cross-functional stakeholders to translate ambiguous business questions into clear, scoped, and reliable data solutions.
- • Own data quality, documentation, and governance practices for all BI assets to ensure dashboards and models are accurate, trustworthy, and maintainable.
- • Build and maintain dbt models to support consistent, reusable data definitions across the organization.
- • Leverage AI-assisted development tools (e.g., Claude, Codex, Cursor) to accelerate model development, dashboard scaffolding, and documentation — while retaining full ownership of analytical design, validation, and quality assurance.
- • Develop and enforce best practices for data model development, including naming conventions, testing standards, and version control.
- • Identify and resolve performance bottlenecks in queries, data pipelines, and reporting layers to ensure optimal dashboard responsiveness.
- • Enable self-serve analytics by creating machine-legible, intuitive data products that reduce reliance on ad hoc requests and empower non-technical users.
- • Proactively surface business insights using data — identifying gaps and opportunities beyond reactive reporting.
- • Continuously evaluate and adopt emerging AI tooling to improve team velocity and contribute to defining how the BI team integrates AI into standard workflows.
- • Contribute to the broader data team’s roadmap, tooling decisions, and infrastructure improvements.
- • Deliver at least one high-priority BI initiative end-to-end within the first 90 days — from data modeling to stakeholder-facing dashboard.
- • Build strong working relationships with key stakeholders to understand data needs, priorities, and success metrics.
- • Identify and address at least one significant gap in data reliability, model coverage, or reporting fidelity within the first 90 days.
- • Establish or meaningfully improve documentation and discoverability standards for existing BI assets.
- • Demonstrate effective use of AI-assisted workflows for implementation tasks (SQL generation, model scaffolding, documentation) while applying human judgment to scoping, design, and validation.
- • Apply clear judgment in prioritizing requests based on business impact and technical feasibility.
🎯 Requirements
- • Demonstrated experience designing and delivering production-grade solutions in a complex, high-scale data environment
- • Deep proficiency in SQL and data modeling — ability to read, validate, and direct complex queries
- • Experience with a modern data stack (e.g., Snowflake/Databricks, dbt, Sigma/Looker)
- • Strong ability to work directly with stakeholders — translating ambiguous business questions into clear, scoped data solutions
- • Track record of building data products that are adopted and trusted by non-technical users
- • Demonstrated experience building with AI tools (Claude, Codex, Copilot, Cursor, or similar) — active integration into daily analytical and engineering workflows
🏖️ 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
Skills & Technologies
See exactly how your profile matches this role — strengths, skill gaps, and what to do about them.
About Imprint Technologies Inc.
Imprint Technologies Inc. operates a platform that lets brands issue co-branded payment cards and financial products directly to consumers. The company manages card program setup, underwriting, compliance, and ongoing servicing while providing APIs and dashboards for partners to configure rewards, launch cards, and track performance. Focused on embedded finance, Imprint serves consumer brands, marketplaces, and fintechs seeking white-label card solutions without building banking infrastructure.
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