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Strong employer brand, generalist data title, mid-level experience, metro location, and broad required skills increase applicant competition.
Core skills Python, SQL and Power BI transfer across industries, so background fit sensitivity is low.
Explicit 2-4 years plus mandatory Python, advanced Power BI, and SQL indicate high shortlisting strictness.
Own data extraction, processing, cleansing, and validation for business analysis.
Design, develop, and deploy analytical solutions using qualitative and quantitative data insights to measure business and data process effectiveness.
Collaborate with multiple teams to collect business data and provide timely reporting and recommendations.
2-4 years of industry experience in data technology as an individual contributor or team member.
Mandatory hands-on experience in Python programming including SciPy, NumPy, Matplotlib, Pandas, seaborn.
Advanced level Power BI skills including interactive UI/UX, data integration, and customizable dashboards.
Advanced SQL skills with experience in relational databases and query authoring.
Strong knowledge of data structures and algorithms with programming expertise in Python.
Experience or familiarity with credit risk analytics, retail lending, or financial services preferred but not mandatory.
Ability to independently deliver data-driven solutions and stay updated with analytics and industry trends.