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Tier-1 brand, metro location, common analytics title, and mid-level experience create high competition.
Core analytics and tooling are transferable across industries, though banking risk/compliance context raises domain sensitivity.
Explicit 2+ years requirement plus mandatory SQL/Python/SAS and BI tool skills makes shortlisting strict.
Consult with business lines and enterprise functions on less complex quantitative research and analytics to support strategic decision making.
Develop customized reports and ad hoc analyses, present recommendations for revenue increase, cost reduction, operational efficiency, quality, and compliance improvements.
Participate in technology efforts including design and implementation of database structures, analytics software, and ensure adherence to data governance and compliance requirements.
At least 2 years of analytics experience or equivalent through work, training, military experience, or education.
Experience in analytics demonstrated through work experience, training, or education.
Bachelor’s or Master’s degree in Analytics, Data Science, Statistics, Computer Science, Engineering, or related quantitative field preferred but not mandatory.
Proficiency in SQL, SAS, Python, Power BI, and Tableau for data analysis and visualization; experience with workflow automation and machine learning techniques is desirable but not mandatory.
Able to design and deliver end-to-end analytical solutions including data extraction, transformation, modeling, automation, and reporting.
Comfortable working collaboratively with remote teams and multiple senior management stakeholders in a virtual environment.
Familiar with Software Development Life Cycle (SDLC), production support, release management, and deployment best practices.