Data analytics-Bengaluru

Required Skills & Qualifications:- 5+ years of relevant experience in data science and analytics, preferably in Financial Services - Experience in leading and managing data analytics teams. - Hands-on expertise in data engineering (SQL, Python) and BI development (Tableau, PowerBI etc.) with a focus on data analysis and modelling. - Experience with deploying data analytics and ETL/BI solutions within cloud ecosystems like Amazon Web Services, Google Cloud Platform, Microsoft Azure - Experience with financial datasets and strong mathematical background. - Exposure to financial metrics datasets and asset classes. - Strong communication skills, both written and oral, with a business and financial aptitude.Key Responsibilities:- Lead a range of BI and data analytics projects and POCs for financial services clients. - Lead the design and development of advanced analytics solutions using Microsoft Fabric and Power BI. - Architecting and managing Azure Data Factory pipelines to streamline data processing and integration for analytics and reporting into BI tools like Power BI and Tableau. - Develop and deploy data integration solutions, including data ingestion, transformation, and delivery to consumers within Microsoft Fabric, while utilizing optimal storage formats and layers. - Design and implement scalable and efficient data pipelines for both structured and unstructured data from diverse sources using Microsoft Fabric technologies (Dataflow gen2, Data Pipelines, PySpark notebooks, Spark SQL, and Python) - Optimize BI solutions for performance and scalability. - Create and maintain comprehensive documentation covering Data Fabric architecture, processes, and procedures. - Serve as the primary contact for client communications, ensuring clear and effective information exchange. - Incorporate feedback from clients and continuously improve models, dashboards, and processes. - Maintain project documentation, including technical specifications, user guides, and project progress reportsKey ResponsibilitiesPreferred Qualification:- Master's in science or engineering disciplines such as Computer Science, Engineering, Mathematics, Physics, etc. - Preferred - Professional certifications on tools/technologies listed above - Microsoft Certified: Power BI Data Analyst Associate - Databricks Certified Data Engineer - Snowflake SnowPro Core Certification - Tableau Desktop Specialist - Optional: Financial Modeling & Valuation Analyst (FMVA) for finance domain depth

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