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Job Description
Structured overview of role & requirementsAbout This Role
Work with large and complex datasets using Python, SQL, and machine learning to support business strategies and improve customer experience.
Document data requirements and processing; perform exploratory data analysis and develop statistical models or algorithms.
Maintain, validate, and automate deployment of models; troubleshoot production issues and manage code via version control and CI/CD pipelines.
Minimum Requirements
Bachelor's degree (Computer Science/IT preferred) with minimum 5 years experience OR Master's degree with 4 years experience.
Hands-on experience in Python, SQL, and Machine Learning is mandatory.
Experience with data processing tools, version control (Git), and knowledge of deployment pipelines (Jenkins) required.
Work Experience Required: 4-5 years as specified; Experience in Customer Experience analytics or Credit Card business is preferred but not mandatory.
Ideal Candidate Profile
Experienced in managing end-to-end analytics projects including coding, deployment, and production support in a regulated financial environment.
Comfortable working with cross-functional teams using Agile/Sprint methodologies and familiar with SDLC.
Analyst skillset with background or strong interest in Customer Experience analytics and quantitative problem-solving.