JOB DESCRIPTION

Build your career in Data Analytics while working in the world’s most innovative bank which values creativity and excellence.

You are a strategic thinker passionate about driving solutions. You have found the right team.

Job Responsibilities

Data analytics and insight generation initiatives through hands-on data science techniques
Create experimental framework to facilitate data collection as needed
Define the comprehensive analytics approach leveraging a combination of business knowledge, statistical methodologies, data techniques and machine learning algorithms
Build models/data applications to produce actionable insights. Develop impactful visualizations delivering simplified insights messaging
Interact with business and functional stakeholders throughout the organization on analytics Initiatives and development
Synthesize business needs and identify optimal data solutions to address the needs
Deliver data insights, business value and recommend next steps to senior stakeholders

Cognizant Walk-in For Fresher Process Executive Data – Non Voice

Required qualifications, capabilities and skills

Experience in premier analytics firms or teams in BFSI, E-Commerce domains or dynamic start-ups focused on providing analytical solutions to clients
Hands on experience with Programming languages; (e.g., R, Python, SQL), Analytical tools (e.g., Alteryx), Distributed file systems (e.g., Hadoop), Visualization tools/programming (e.g., Qlik Sense, Tableau, D3), Cloud computing platforms (e.g., Amazon Web Services)
Ability to design and execute repeatable and scalable data solutions (extraction / mining / modeling / visualization)
Exposure and experience with designing and building machine learning algorithms
Familiarity of applied statistical methods involving regression, clustering, time series forecasting, customer segmentation, driver and causality analysis
Experience in interacting with business partners, gathering requirements, scoping business problems and communicating insights

Preferred qualifications, capabilities and skills

Bachelors in engineering, Computer Science, Math, Statistics or related discipline or an MBA from a reputed institution

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