Data Analyst

Round 1: Online aptitude and coding assessment → Round 2: Technical interview focusing on Python, AI/ML concepts, and problem‑solving → Round 3: HR interview covering cultural fit, experience, and career aspirations

Cognizant promotes a collaborative and inclusive culture where continuous learning is encouraged through internal academies and sponsored certifications. Employees enjoy flexible hybrid schedules, a strong emphasis on work‑life balance, and clear career progression pathways across global delivery centers.

Cognizant’s interview process typically starts with a timed online aptitude test followed by a technical interview that probes Python proficiency, data modeling, and AI concepts. The final HR round assesses cultural fit and communication skills. Candidates report a moderate difficulty level, with emphasis on problem‑solving clarity and real‑world scenario questions.

Bachelor's or Master's degree in Computer Science, Information Technology, Data Science, Engineering or related fields; minimum 60% aggregate (or equivalent CGPA); no active backlogs; 12+ years of progressive data analytics experience in multinational or similar settings; strong communication skills; ability to work in a hybrid model.

Cognizant is a global leader in technology services and consulting, with a strong focus on AI‑driven solutions. With over 350,000 professionals worldwide, the company helps enterprises across industries transform their operations through digital, cloud, and analytics capabilities. Cognizant’s AI Builder practice combines deep domain expertise with cutting‑edge research in large language models, generative AI, and responsible AI governance, delivering end‑to‑end solutions that amplify human potential while ensuring ethical use of data. The firm’s culture emphasizes continuous learning, diversity, and sustainability, encouraging employees to innovate and make a tangible impact on society. The Data Analyst role is a hybrid, day‑shift position based in Chennai. The analyst will work closely with product, engineering, and business teams to design, build, and maintain data pipelines and generative‑AI workflows that turn raw enterprise data into actionable insights. The position demands advanced Python skills, hands‑on experience with LangChain and LangGraph, and a solid understanding of large language model (LLM) fundamentals such as tokenization, context management, and safety considerations. The analyst will also be responsible for embedding responsible AI practices, ensuring data quality, and mentoring junior team members. **Key Responsibilities** 1. Collect, clean, and structure complex enterprise data sets using Python for reporting and forecasting. 2. Design and implement scalable, reusable data pipelines that handle ingestion, transformation, and validation. 3. Build generative AI workflows that automate text analysis, summarization, and knowledge extraction while adhering to governance standards. 4. Develop model‑context protocol integrations to manage prompts, context windows, and tool connections reliably. 5. Create and maintain LangGraph workflows that orchestrate multi‑step analytical and generative AI processes. 6. Implement LangChain chains and agents to securely connect language models with internal data sources and tools. 7. Perform exploratory analysis on structured and unstructured data to uncover trends, anomalies, and business opportunities. 8. Establish data quality checks, performance metrics, and comprehensive documentation for all solutions. 9. Mentor junior analysts on Python best practices, prompt engineering, model evaluation, and data storytelling. 10. Continuously monitor and optimize deployed AI and analytics pipelines to improve latency, accuracy, and value. **Tech Stack**: Python (pandas, NumPy, pytest), SQL, LangChain, LangGraph, Large Language Models (e.g., GPT‑4), Azure/AWS cloud services, Docker, Git, CI/CD pipelines, data visualization tools (PowerBI/Tableau). **Growth Path**: Successful analysts can progress to Senior Analyst, AI Solutions Architect, or Data Science Lead roles, with opportunities to lead cross‑functional AI projects, obtain advanced certifications, and contribute to Cognizant’s thought leadership in responsible AI. **Why Join Cognizant?** The company offers a vibrant hybrid work environment, exposure to cutting‑edge AI technologies, and a strong commitment to employee development through sponsored certifications, mentorship programs, and global mobility. Employees also benefit from competitive compensation, robust health and wellness benefits, and the chance to work on projects that have real societal impact, aligning with sustainability and social responsibility goals.