Data Analyst

Company Description Cognizant is a global leader in IT services and consulting, helping enterprise organizations modernize their technology stacks and optimize business operations. The company focuses on building high-intent digital pipelines, advanced automation, and data-driven growth architectures. Cognizant partners with clients to design scalable, secure, and resilient digital solutions that support long-term market competitiveness. Team members collaborate across industries and technologies, offering opportunities to work on complex business challenges and innovative digital transformation initiatives.
Role Description This full-time, on-site Data Analyst role is based in Bengaluru. The Data Analyst will collect, clean, and validate data from multiple sources to support business reporting and analytics initiatives. The role involves building and maintaining dashboards, performing exploratory and advanced analyses, and translating findings into clear insights and recommendations for stakeholders. The Data Analyst will collaborate with cross-functional teams to understand data requirements, support decision-making, and contribute to analytics solutions that improve operational efficiency and business outcomes. The position also includes documenting methodologies, ensuring data quality, and adhering to organizational standards for data governance and security.
Qualifications
Candidates should possess strong Analytical Skills and Data Analytics capabilities to interpret complex datasets and derive actionable insights.
Candidates should possess solid knowledge of Statistics and Data Modeling to design robust analytical approaches and forecasting models.
Candidates should possess effective Communication skills to present findings clearly to technical and non-technical stakeholders.
Candidates should possess proficiency in relevant tools and technologies such as SQL, Excel, and at least one analytics or BI platform (e.g., Power BI, Tableau, or similar).
Candidates should possess familiarity with scripting or programming languages commonly used in analytics (e.g., Python or R) and experience working with large or complex datasets.
Candidates should possess a bachelor’s degree in a quantitative field such as Data Science, Statistics, Computer Science, Engineering, Economics, or a related discipline; relevant industry experience or certifications in analytics and BI are beneficial.

Work arrangement
No