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Remote mid-level analytics role in a metro attracts many applicants, increasing competition.
Core analytics engineering skills are transferable, but fintech domain knowledge moderately increases fit sensitivity.
Mandates dbt, Snowflake, advanced SQL, testing and observability, producing strict technical filtering.
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Own and build scalable dimensional data models and curated data marts using Snowflake and dbt that power analytics and operational reporting.
Develop and maintain a governed semantic layer with accurate business-aligned metrics enabling consistent downstream analysis and decision-making.
Mentor junior engineers, lead technical reviews, troubleshoot production data issues, and improve data quality through automated testing and observability.
Strong experience with modern analytics tools including dbt, Snowflake, Hex, and Tableau.
Advanced SQL skills (window functions, CTEs, performance tuning).
Proven expertise in designing and implementing data models for BI and operational analytics, including star schemas.
Work Experience Required: Not explicitly mentioned in the JD
Experienced analytics engineer who builds durable, performant, and governed data products enabling operational and strategic decision-making in a fintech context.
Effective collaborator who translates complex stakeholder requirements into reusable semantic layer metrics and data models.
Technically strong developer comfortable with AI-assisted analytical tools, rigorous testing, and mentoring peers to raise team quality standards.