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Metro location and common analytics role make applicant density moderate despite niche finance/cloud specialization.
Requires finance analytics experience and cloud data platform expertise, limiting cross-industry transferability.
Multiple mandatory technical skills and a 7+ years requirement create strict shortlisting filters.
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Design and build data models, dashboards, and self-service analytics solutions on cloud platforms to support Equities, Investment Banking, Operations, Finance, and other divisions.
Perform data analysis related to cloud infrastructure costs, performance, and savings; deliver actionable recommendations and maintain KPIs and metrics dashboards.
Collaborate across teams to ensure data quality, implement automation for analytics workflows; leverage GenAI tools for SQL and insight generation.
7+ years experience in analytics engineering, data analytics, business intelligence, or quantitative analysis roles.
Expert-level SQL skills; strong data modeling experience (dimensional modeling, star schema, data marts).
Proficient with BI tools (Tableau, PowerBI, Looker, or AWS QuickSight) and cloud data platforms (AWS Redshift, Snowflake, Databricks).
Experience in financial services, capital markets, or investment banking analytics.
Experienced in designing scalable analytics solutions in cloud environments with strong business stakeholder collaboration.
Skilled at applying automation and AI (GenAI assistants and AI-driven workflows) to improve analytical productivity and data quality.
Comfortable working in Agile teams using tools like Jira and Confluence, with strong communication for cross-functional interaction.