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Strong employer brand, metro location, mid-level generalist analytics role with broad requirements increases competition.
Core analytics skills are transferable, but KYC/operations domain experience increases role specificity.
Explicit 4+ years, mandatory SQL/Python/Snowflake and operational analytics raise filtering strictness.
Lead analytics efforts for operational teams including customer support, KYC, and compliance to drive data-driven decisions supporting business growth.
Own and build analytical models for strategic capacity planning, forecasting, and predictive modeling to optimize operational efficiency and decision-making.
Develop and implement KPIs, track strategic initiatives, and collaborate with stakeholders to standardize forecasting, scheduling, and real-time operations processes.
Minimum 4 years of experience in analytics with strong quantitative and statistical skills including probability, hypothesis testing, regression, and time series analysis.
Experience in operational analytics such as efficiency analysis, cost modeling, performance measurement, or process optimization.
Proficiency in SQL (Snowflake), and advanced data analysis using Python or R; experience with visualization tools like Looker, Superset, or Tableau.
Work Experience Required: 4+ years in analytics; Notice Period: Not explicitly mentioned in the JD.
Experience working with complex data pipelines and models in operational or compliance settings, preferably in customer-facing or KYC environments.
Comfortable owning end-to-end projects, influencing cross-functional teams, and driving strategy with data-backed insights.
Familiarity with forecasting, scheduling, resource allocation, and workforce/quality management analytics is a strong plus.