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Metro location, mid-level generalist data role, popular toolset, and global employer increase applicant competition.
Role requires specialized cloud data stack and finance-domain knowledge, reducing direct cross-industry transferability.
Mandatory 5+ years and specific stack (Snowflake, Microsoft Fabric, Power BI, SQL) enforce strict filters.
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Design and implement enterprise-scale data pipelines and advanced analytics dashboards using tools like Microsoft Fabric, Snowflake, Power BI, and AI-powered analytics tools such as Copilot Agents or Claude.
Develop and optimize data ingestion, transformation, and modeling workflows across structured and cloud-based systems, ensuring scalable, secure, and high-performance data products.
Collaborate with cross-functional stakeholders to translate complex finance and business requirements (OTC, STP, RTR) into actionable data strategies and implement enterprise data governance, quality, and compliance standards.
Bachelor’s or master’s degree in Computer Science, Data Engineering, Statistics, or related field.
5+ years of experience in data analytics with proven expertise in SQL and relational databases.
Hands-on experience with Snowflake, Microsoft Fabric, Power BI, and familiarity with AI-powered analytics tools like Copilot Agents or Claude.
Work Experience Required: 5+ years in data analytics
Experienced in designing, building, and scaling cloud-based data pipelines and analytics platforms, especially using Snowflake and Microsoft Fabric.
Strong domain knowledge of finance process areas including Order to Cash (OTC), Source-to-Pay (STP), and Record to Report (RTR).
Comfortable working in fast-paced, global environments with advanced AI-enhanced analytics tools and proficient in stakeholder management across technical and non-technical audiences.