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Popular mid-level data analytics role with broad cloud and BI skills in Hyderabad increases candidate competition.
Strong core data skills are transferable, but OTC/STP/RTR finance domain knowledge increases industry specificity.
Mandatory 5+ years plus Snowflake, Microsoft Fabric, Power BI, and SQL requirements make shortlisting strict.
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Design and implement enterprise-scale data pipelines and advanced analytics dashboards, leveraging tools like Microsoft Fabric, Snowflake, Power BI, and AI-powered analytics (Copilot Agents or Claude).
Translate complex business and finance requirements (OTC, STP, RTR) into actionable data strategies and deliver scalable, secure data products.
Establish and maintain data governance, quality, and compliance standards, and contribute to developing data engineering capabilities within a global team.
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 database technologies.
Hands-on experience with Snowflake, Microsoft Fabric, Power BI, and familiarity with AI analytics tools (Copilot Agents or Claude).
Knowledge of finance process domains including Order to Cash (OTC), Source-to-Pay (STP), and Record to Report (RTR).
Experienced in designing, scaling, and optimizing cloud-based data pipelines and analytics platforms in fast-paced global environments.
Capable of collaborating with cross-functional stakeholders and translating business needs into AI-enhanced data solutions.
Strategic thinker with proficiency in data orchestration and governance, and familiarity with emerging AI-driven analytics technologies.