Data Analyst - AI Focus

Company Description

At Cognizant Netcentric, we come to work every day with the mission of leveraging cutting-edge technology to create memorable digital experiences for the worlds leading brands. And we do it as a diverse, global community of over 1550+ Adobe experts collaborating across countries, cultures, languages and technologies.

We're energized by an inclusive and responsive organizational culture that brings together the entrepreneurial spirit of a startup with the resources, growth opportunities and stability of a larger global organization.

Holacracy is the cornerstone of how we work, empowering every individual with the power to make an impact within our organization. All this encourages us to learn and grow as individuals, and unite as a team to build innovative digital experiences that touch peoples lives.

Role Overview

We are looking for Data Analysts to support fast-paced AI-driven initiatives, such as digital assistants, voice bots and other next-gen support tools. These roles combine a strong foundation in Data Analytics (70%) with an affinity for Data Science (30%) and will help in defining success metrics, improving data quality, reporting, and generating insights that influence strategic decisions. The ideal candidate brings a deep curiosity for user behaviour, proficiency in product analytics , and a customer-first mindset that drives actionable insights.

Key Responsibilities :

• Design and implement customer journey tracking mechanisms.
• Extract, prepare, and explore data from multiple sources to uncover actionable insights, possibly by joining several data sources.
• Design dashboards in Tableau for structured or ad-hoc visualizations.
• Create automated reporting solutions using tools like SQL, Python or Tableau to streamline regular reporting tasks and reduce manual efforts.
• Conduct exploratory data analysis to uncover patterns, correlations, and insights within the data.
• Support OKR tracking by aligning data metrics to business objectives and monitoring performance over time

Requirements :

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