Cognizant- Data Analyst
Candidates typically face a three‑stage process: an initial timed aptitude test, followed by a technical interview focusing on data structures, algorithms, and basic Salesforce concepts, and finally an HR round assessing cultural fit and communication skills. The difficulty is moderate, with emphasis on clear problem‑solving approach and coding accuracy. Preparing with mock tests and reviewing Salesforce’s platform basics greatly helps.
Cognizant Recruitment 2026 promotes a collaborative and inclusive work environment where interns are treated as full team members. Employees enjoy a balanced work‑life schedule, regular learning sessions, and clear pathways for career advancement.
Degree: B.Tech / B.E., B.Sc., B.Com, or equivalent field. Academic Threshold: Minimum 60% aggregate CGPA or percentage. Backlogs: No active backlogs allowed at the time of application. Other Requirements: Strong statistical foundation, good communication skills, and readiness for a hybrid work model.
Round 1: Online Aptitude Test → Round 2: Technical Interview (coding & concepts) → Round 3: HR Interview
Cognizant is a global leader in digital, technology, consulting and operations services. With a presence in over 40 countries, the company helps enterprises across industries to transform their business models, improve efficiency and create sustainable value. Cognizant’s AI Builder platform and deep domain expertise enable clients to harness the power of data, automation and cloud to stay ahead in a fast‑changing world. The organization is known for its strong focus on continuous learning, employee growth and a culture that encourages innovation and collaboration. The Data Analyst role is a hybrid position based in Bangalore, where you will work closely with cross‑functional business units of an international client. You will be responsible for turning raw, complex datasets into clear, actionable insights that drive strategic decisions. Leveraging Python, Excel VBA, Tableau and Power BI, you will design robust reporting solutions, automate repetitive workflows, and ensure data quality across the organization. This role offers exposure to large‑scale data environments and the chance to influence business outcomes directly. Key responsibilities include: 1. Perform exploratory data analysis on large business datasets to uncover trends, patterns and anomalies. 2. Build and maintain scalable data models and analytical frameworks using Python. 3. Design advanced Excel workbooks with VBA macros to automate repetitive tasks and improve data accuracy. 4. Create interactive Tableau dashboards and Power BI reports that communicate key performance indicators to stakeholders. 5. Collaborate with business partners to translate requirements into analytical solutions aligned with enterprise priorities. 6. Implement rigorous data quality checks and validation processes using Excel, Python and other tools. 7. Optimize existing data pipelines and reporting workflows, identifying bottlenecks and proposing automation strategies. 8. Document methodologies, assumptions and business rules for transparency and reproducibility. 9. Deliver structured reports and presentations that highlight business impact and support continuous improvement. 10. Conduct scenario and "what‑if" analyses using Python and VBA models to aid risk‑aware planning. The tech stack for this role includes Python (pandas, numpy, matplotlib), MS Excel with VBA, Tableau, Power BI, SQL, and basic knowledge of data warehousing concepts. As you grow, you can progress to senior analyst, data scientist, or analytics manager roles, with opportunities to lead larger data initiatives and mentor junior talent. Joining Cognizant gives you access to a global network of experts, continuous up‑skilling programs, and a clear career ladder in a company that values data‑driven decision making. The hybrid work model offers flexibility, allowing you to collaborate on‑site while also benefiting from remote productivity tools.
🔔 Apply before 30 Aug 2026 — 3 days remaining