Data Analytics (Process Executive)

Cognizant’s interview process typically starts with a timed online aptitude test, followed by a technical interview that probes Python scripting, Excel automation and Tableau dashboarding. The HR round is conversational, focusing on cultural fit and career goals. Candidates who practice data‑analysis case studies and brush up on SQL tend to perform well.

Naukri.com is known for a collaborative and fast‑paced work environment that encourages knowledge sharing and continuous upskilling. Employees often cite strong mentorship, clear growth pathways and a good work‑life balance as key strengths. The company invests in employee wellness programs and offers flexible work arrangements.

Any graduate with a Bachelor's degree (any discipline). Minimum aggregate of 60% (or CGPA 6.0/10) is preferred. No active backlogs at the time of joining. Candidates from the 2024‑2026 batch are encouraged to apply. Must have basic knowledge of Python, Excel and data visualization.

Round 1: Online assessment covering quantitative aptitude, logical reasoning, data interpretation, basic SQL and programming → Round 2: Technical interview focusing on Python, Excel/VBA, Tableau, data cleaning and statistical concepts → Round 3: HR interview assessing fit, communication skills and career aspirations

Cognizant is a global leader in information technology, consulting and business process services. Headquartered in Teaneck, New Jersey, the firm employs over 292,500 professionals across more than 40 countries. With a strong focus on digital transformation, Cognizant helps enterprises adopt AI, cloud, IoT and analytics to stay competitive. The company’s Indian operations, especially in Hyderabad, serve a wide range of industries such as banking, healthcare, retail and manufacturing, offering fresh graduates a platform to work on real‑world projects from day one. The role of Data Analytics (Process Executive) is designed for recent graduates who are eager to launch a career in data‑driven decision making. As a Process Executive, you will be part of a fast‑moving analytics team that supports business units by turning raw data into actionable insights. You will work under senior analysts, learn best practices in data handling, and gradually take ownership of end‑to‑end analytical workflows. Key Responsibilities: 1. Perform exploratory data analysis on large, complex datasets to identify trends, patterns and outliers. 2. Build and maintain robust data models and analytical frameworks using Python. 3. Design, develop and automate Excel workbooks and VBA macros to streamline repetitive reporting tasks. 4. Create interactive Tableau dashboards that visualize key performance indicators for stakeholders. 5. Conduct rigorous data quality checks, reconcile discrepancies and ensure data integrity. 6. Collaborate with cross‑functional teams to gather requirements and translate business questions into analytical solutions. 7. Optimize existing data pipelines and suggest automation strategies to improve efficiency. 8. Document analytical processes, findings and recommendations in clear, business‑friendly language. 9. Stay updated with emerging analytics tools and techniques, sharing knowledge within the team. 10. Support senior analysts in preparing presentations and reports for senior leadership. Tech Stack: Python (pandas, numpy, matplotlib), MS Excel & VBA, Tableau, SQL basics, Git for version control. Growth Path: Freshers start as Process Executives, progress to Analyst, Senior Analyst, and eventually to Data Scientist or Analytics Manager based on performance and skill development. Cognizant offers structured learning programs, certifications, and internal mobility across domains. Why Join Cognizant? The company provides a vibrant hybrid work model, exposure to global clients, and a culture that rewards curiosity and continuous learning. Fresh graduates receive mentorship from industry veterans, access to cutting‑edge tools, and a clear roadmap for career advancement, making it an ideal launchpad for a long‑term analytics career.