Cognizant

Overview

This hybrid role for an experienced data analyst involves using Python Excel VBA macros Tableau Power BI and exploratory data analysis to transform complex datasets into actionable insights for an international organization.

About Cognizant

Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, bridging the gap between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process and engineering expertise enables us to build an organization’s unique context into technology systems that amplify human potential, d

Requirements & Eligibility

• Demonstrate strong proficiency in Python for data analysis including data manipulation statistical exploration and integration with visualization and reporting tools.
• Show advanced expertise in MS Excel and Excel macro VBA development to construct automated workflows complex formulas and template driven reporting solutions.
• Apply solid experience in Tableau to design user friendly dashboards that transform technical metrics into intuitive visuals tailored to diverse business audiences.
• Exhibit deep understanding of exploratory data analysis principles including data profiling feature exploration and visual techniques that reveal meaningful patterns and outliers.
• Bring practical domain exposure in industry essentials allowing effective alignment of metrics with business realities regulatory contexts and evolving market expectations.
• Operate effectively in a hybrid work model using collaborative platforms to coordinate tasks communicate findings and maintain productivity during onsite and remote work.

Key Responsibilities

• Analyze complex business datasets using exploratory data analysis techniques to uncover trends patterns and anomalies that directly inform strategic decisions and operational improvements across the organization.
• Develop robust data models and analytical frameworks in Python that standardize calculations support predictive insights and enable scalable reuse across teams and projects.
• Design and maintain advanced Excel workbooks and macro driven solutions that automate repetitive tasks improve data accuracy and significantly reduce manual processing time for stakeholders.
• Build interactive Tableau dashboards and visual analytics that clearly communicate key performance indicators helping business partners quickly understand results and act on data driven recommendations.
• Collaborate with cross functional teams to gather requirements translate business questions into analytical problems and deliver clear outputs that align with enterprise priorities and industry essentials.
• Implement rigorous data quality checks using MS Excel Python and other tools to validate sources reconcile discrepancies and ensure decision makers can rely on consistent and accurate information.
• Optimize data pipelines and reporting workflows by reviewing existing processes identifying bottlenecks and proposing automation strategies that improve efficiency in a hybrid work environment.
• Document analytical methods datasets assumptions and business rules in a detailed yet accessible manner to support transparency reproducibility and onboarding of new team members.

Interview Process