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Tier-1 brand plus mid-level generalist data role in metro with broad SQL/Tableau requirements increases competition.
Core SQL, BI and analytics skills are transferable across industries, though banking experience preference adds moderate specificity.
Explicit 4-7 year bands, mandatory SQL/Tableau/SAS/ETL skills and banking knowledge produce high shortlisting strictness.
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Collect and analyze operational data from multiple stakeholders to assess past business performance and identify trends.
Develop reports, dashboards, and metrics to provide actionable business insights aiding strategic decision-making and process improvements.
Collaborate with business partners to design, implement, monitor, and enhance decision strategies while ensuring compliance and risk assessment.
2-7 years of relevant work experience depending on education (2-5 years with Masters, 4-7 years with Bachelors).
Proficiency in SQL, data warehousing concepts, ETL processes, and BI tools such as Tableau; SAS programming experience required.
Experience in report/dashboard development, data visualization, and automation using scripting languages (e.g., Python) and tools like SSIS.
Preferred banking domain knowledge including banking products and operations; excellent communication skills for stakeholder management.
Experienced in handling multi-dimensional operational data analyses supporting business growth and process improvement in financial services.
Technically proficient in developing automated reporting and dashboards using SQL, Tableau, SAS, and scripting for efficiency and accuracy.
Skilled at translating complex data insights into clear recommendations, collaborating cross-functionally, and navigating compliance and risk frameworks in banking environment.