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Tier-1 brand, metro, common analytics title, mid-level experience, and broad SQL/Tableau requirements raise competition.
Data skills are transferable, but wealth management and US-banks domain knowledge increases role specificity.
Explicit 3–5 years plus mandatory SQL, visualization, and finance domain experience increases shortlisting strictness.
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Own analytics and reporting delivery for US Banks to US-based team and leadership, focusing on KPI reporting, performance measurement, and client profile analysis.
Create, maintain, and automate datasets and reporting frameworks using data from multiple sources to drive insights and support decision making.
Collaborate with data strategy, infrastructure, and technology teams to optimize processes and build scalable analytical solutions.
Bachelor’s degree in science/engineering/mathematics; MBA or advanced degree preferred.
Experience: Analyst - 2 to 2.5 years in data programming and SQL, preferably in financial services; Associate - minimum 3 years in Data & Analytics (total 3-5 years), preferably in financial services.
Strong proficiency in SQL and hands-on data analytics using multiple data platforms.
Proficiency with Microsoft Office (Excel, PowerPoint); familiarity with Tableau and dashboards; basic knowledge of tools like Dataiku, Snowflake, Hadoop, DB2, Salesforce is a plus.
Experience working in financial services data analytics with strong SQL and data sourcing skills.
Ability to work autonomously and think strategically to deliver actionable business insights through reporting and visualization.
Comfortable operating in a fast-paced, evolving environment focusing on automation, process optimization, and partnering with cross-functional teams.