Partner with business teams and stakeholders to collect requirements, define analytics outcomes, and build foundational data models and dashboards.
Serve as a data modeling and visualization expert delivering high-impact dashboards built on scalable data models.
Design and develop in dbt in a repeatable and scalable way to advance data maturity, maintain single source of truth, and keep data sources fresh as requirements evolve.
Maintain data dictionary and ensure quality and governance through standards, code reviews, and peer-reviewing database and data model schema changes.
Write SQL that meets internal standards for structure and quality.
Encourage internal adoption and self-sufficiency of stakeholders in Tableau through documentation, training, and dashboard organization.
Transition between business strategy and data development, solving real-world problems and streamlining internal capacity with billions of data points
Requirements
5+ years of proven experience in the data space as an analyst or analytics engineer.
5+ years designing and implementing commercial enterprise dimensional models and working with large-scale (1B+ rows) cloud data warehouses.
Expertise with SQL, including advanced techniques (ex. window functions, common table expressions, UDFs, etc.) for data investigation and analysis.
Experience with data visualization in Tableau
Solid project management skills, including planning work, managing details, and navigating ambiguity to deliver results with cross-functional stakeholders.
Enthusiasm for conducting reproducible analysis, including code reviews, version control, and robust documentation.
Experience with dbt and Snowflake (additional valued skill)
Experience with Fivetran (additional valued skill)
Experience in a B2B SaaS or fintech environment (additional valued skill)
Must be currently legally authorized to work in the job location country and not require future sponsorship