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Popular data analyst role, metro location, mid-level experience, broad Python/PowerBI/SQL requirements increase applicant competition.
Data skills (Python, SQL, Power BI) transferable, while finance/credit experience is only preferred.
Mandatory 2+ years plus required Python, advanced Power BI and strong SQL makes shortlisting strict.
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Own end-to-end data extraction, processing, cleansing, and integrity verification for business analysis and reporting.
Design, develop, and deploy analytical solutions and build qualitative and quantitative data insights to measure business and data process efficiency.
Collaborate across teams to collect business data and provide recommendations; analyze industry trends to influence business and analytics strategy.
Minimum 2 years industry experience in data technology or related individual/team contributor role.
Mandatory hands-on Python programming experience including libraries like SciPy, NumPy, Matplotlib, Pandas, and seaborn.
Advanced Power BI skills including interactive features, data integration, and customizable dashboards.
Strong SQL knowledge with experience in relational databases and query authoring.
Experienced with data structures, algorithms, and Python programming applied to analytics.
Demonstrates capability in building and deploying data models and BI dashboards that drive business decisions.
Prefer candidates with familiarity in credit risk analytics, retail lending, or financial services domain.