Senior Associate, Data Analytics, Transformation & Data
Core
Identifying business growth opportunities and supporting budget targets through analytical insights and data-driven decision-making for a digital bank.
Role type
Senior Associate, Data Analytics & Transformation
Builds
Automated data pipelines, business performance dashboards, and machine learning products for customer experience improvement.
Domain
Consumer Banking / Digital Banking
Deliverable
production ML models | dashboards & analysis
Required skills
Data analysis, problem formulation, performance metrics definition, A/B test design, machine learning model deployment, SQL, Python, PySpark, TensorFlow, stakeholder communication
Preferred skills
Banking product knowledge, statistics/analytics degree, strategic thinking, creativity
Technologies
Teradata, NoSQL, Hadoop, Hive, PySpark, TensorFlow, Python, R
Responsibilities
Structure and execute data analysis to inform digital bank decision-making; Engage with business teams on problem formulation and solution frameworks; Collaborate to define and align performance metrics; Support ad-hoc data requests for management meetings; Formulate requirements and work with engineering teams to develop automated data pipelines; Design and analyze A/B test experiments to identify target segments; Drive testing and deployment of machine learning products into production.
Seniority
Senior, hands-on IC
