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Metro mid-level data analytics role with common Snowflake/PowerBI skills and moderate employer brand increases competition.
Core data engineering skills are transferable across industries, but OTC/STP/RTR finance domain knowledge increases specificity.
Explicit 5+ years requirement plus mandatory Snowflake, Fabric, Power BI and SQL makes screening stringent.
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Design and implement enterprise-scale data pipelines and advanced analytics dashboards using Microsoft Fabric, Snowflake, and Power BI.
Translate complex business and finance requirements (OTC, STP, RTR) into actionable data strategies and develop governed self-service analytics datasets and dashboards.
Implement and maintain data governance, quality, and compliance standards while promoting best practices and supporting growth of data engineering capabilities.
Bachelor’s or Master’s degree in Computer Science, Data Engineering, Statistics or related field.
5+ years of experience in data analytics, including designing and scaling cloud-based data pipelines and analytics platforms.
Expert-level proficiency in SQL and hands-on experience with Snowflake, Microsoft Fabric, and Power BI.
Strong understanding of finance process domains: Order-to-Cash (OTC), Source-to-Pay (STP), and Record-to-Report (RTR).
Experienced in working with enterprise-grade data orchestration tools, particularly Snowflake’s orchestration capabilities.
Proficiency with Python and familiarity with agile development, CI/CD pipelines, and Git indicating ability to manage automation and development workflows.
Strategic thinker focused on driving business value through data with a curiosity for emerging technologies.