Back
Tier-1 bank, metro location, mid-level generalist analytics role with broad skillset increases competition.
Core analytics skills transfer across industries, but banking compliance and risk domain knowledge raise specificity.
Explicit 4+ years, specific SQL/Python/SAS/BI stack and banking compliance expectations create strict filters.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Consult and analyze moderately complex business, operational, and technical challenges using data to support strategic initiatives.
Lead or participate in large cross-group projects and mentor less experienced staff.
Collaborate across teams and ensure compliance and risk management alignment in analytics solutions.
4+ years of analytics experience or equivalent via work, training, military, or education.
Experience with SQL, SAS, Python, Power BI, and Tableau for data analysis and reporting.
Bachelor’s or Master’s degree in Analytics, Data Science, Statistics, Computer Science, Engineering, or related quantitative field.
Work Experience Required: 4+ years in analytics explicitly mentioned.
Proven ability to design and deliver end-to-end analytical solutions including automation and insight generation.
Strong understanding of SDLC, production support, release management, and deployment best practices.
Experience in machine learning application, workflow automation, and scalable analytical processes for data-driven decision-making.