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Popular mid-level data analytics role in Hyderabad with common BI skills and a global employer.
Core data engineering skills are transferable, but required OTC/STP/RTR finance domain knowledge raises domain specificity.
Mandatory Snowflake, Microsoft Fabric, Power BI, SQL and finance process experience increases filtering strictness.
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Design and implement enterprise-scale data pipelines and advanced analytics dashboards using Microsoft Fabric, Snowflake, and Power BI.
Collaborate with cross-functional stakeholders to translate complex business and finance requirements (OTC, STP, RTR) into actionable data strategies.
Implement and maintain data governance, quality, and compliance standards across analytics initiatives, enabling scalable and secure data products.
Bachelor’s or Master’s degree in Computer Science, Data Engineering, Statistics, or a related field.
Minimum 2+ years of experience in data analytics.
Expert-level proficiency in SQL and relational database technologies.
Hands-on experience with Snowflake, Microsoft Fabric, and Power BI.
Experienced in building and scaling cloud-based data pipelines and analytics platforms with finance domain knowledge (OTC, STP, RTR).
Skilled in data modelling, orchestration, governance, and performance optimization to deliver high-impact data solutions.
Capable of working in fast-paced global environments with strong stakeholder management and communication skills.