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Mid-level data analytics in metro with broad tooling and common title drives high applicant competition.
Core data skills transfer, but explicit finance process knowledge increases domain-specific sensitivity.
Explicit 5+ years, mandatory Snowflake/Fabric/Power BI/SQL and finance-domain knowledge make filters stringent.
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Design and implement scalable enterprise data pipelines and advanced analytics dashboards using tools like Microsoft Fabric, Snowflake, and Power BI.
Translate complex business and finance requirements (OTC, STP, RTR) into data strategies enhanced by AI-driven insights from Copilot Agents or Claude.
Maintain data governance, quality, and compliance standards while enabling self-service analytics organization-wide.
Bachelor’s or Master’s degree in Computer Science, Data Engineering, Statistics, or related field.
5+ years of experience in data analytics with expertise in SQL and relational databases.
Hands-on experience with Snowflake, Microsoft Fabric, Power BI, and familiarity with advanced analytics Copilot Agents or Claude.
Location requirement: Hyderabad, India (hybrid model with 3 days onsite).
Expert in designing and scaling cloud-based data pipelines and analytics platforms with strong data modelling and governance skills.
Experienced in finance domain data processes such as Order to Cash (OTC), Source-to-Pay (STP), and Record to Report (RTR).
Comfortable working in fast-paced, global teams, leveraging AI-powered analytics tools to deliver high-impact business value.