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Tier-1 brand, metro location, mid-level generalist analytics role with broad required skills increases competition.
Core analytics skills are transferable, though financial services experience is advantageous, so moderate sensitivity.
Explicit 3–5 years plus mandatory SQL, Python and Power BI skills make screening relatively strict.
Solve business problems using statistical methods, predictive modeling, and data visualization to generate insights supporting decision-making.
Develop, validate, and operationalize statistical and machine learning models using Python and SQL, ensuring business value and model interpretability.
Collaborate with cross-functional teams to deliver and automate analytical solutions, maintain documentation, and support dashboard/reporting product development with Power BI.
Bachelor’s or Master’s degree in Data Science, Analytics, Statistics, Economics, Mathematics, Computer Science, Engineering, Business, or related field, or equivalent practical experience.
3-5 years of experience in data science, customer/business analytics, or related analytical roles.
Proficiency in Python and SQL, with experience in relational or cloud data platforms like Snowflake.
Experience developing dashboards or visualizations using Power BI, Tableau, or equivalent tools.
Experienced in applying a variety of analytical techniques including statistical analysis, segmentation, and machine learning with a focus on appropriate method selection for business questions.
Able to translate complex data patterns into clear insights for both technical and non-technical stakeholders, with strong communication skills.
Comfortable working collaboratively in cross-functional Agile teams alongside analysts, data scientists, engineers, and business stakeholders to deliver scalable analytics solutions.