Cognizant is Hiring Data Analyst (Bangalore) | Hybrid Role

Job Summary

This hybrid role is for an experienced data analyst who will utilize Python, Excel VBA macros, Tableau, and Power BI, along with exploratory data analysis, to transform complex datasets into actionable insights for an international organization. The analyst will be responsible for designing efficient reporting solutions, optimizing data workflows, and supporting strategic decisions across various business units. This role also involves applying industry-specific knowledge to improve processes and contribute to sustainable growth.

Responsibilities

• Analyze complex business datasets using exploratory data analysis techniques to identify trends, patterns, and anomalies that inform strategic decisions and operational improvements.
• Develop robust data models and analytical frameworks in Python to standardize calculations, support predictive insights, and enable scalable reuse across teams and projects.
• Possess good experience in Power BI.
• Design and maintain advanced Excel workbooks and macro-driven solutions to automate repetitive tasks, enhance data accuracy, and reduce manual processing time for stakeholders.
• Build interactive Tableau dashboards and visual analytics that effectively 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 aligned 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 consistent and accurate information for decision-makers.
• Optimize data pipelines and reporting workflows by reviewing existing processes, identifying bottlenecks, and proposing automation strategies to 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 the onboarding of new team members.
• Provide actionable insights through well-structured reports and presentations that highlight business impact, quantify opportunities, and support continuous improvement across day-shift operations.
• Partner with stakeholders to perform scenario analyses and "what if" assessments using Excel VBA and Python models, evaluating potential outcomes and supporting risk-aware planning.
• Apply industry essentials knowledge to benchmark performance, interpret external trends, and ensure analytical outputs reflect relevant regulations, standards, and market dynamics.
• Support governance practices by adhering to data security policies, respecting privacy considerations, and promoting the ethical use of analytics that benefits customers, communities, and the company's mission.
• Contribute to a culture of analytical excellence by sharing best practices, mentoring peers on modern data techniques, and championing evidence-based decision-making in daily work.

Qualifications

• 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 a 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, utilizing collaborative platforms to coordinate tasks, communicate findings, and maintain productivity during both onsite and remote work.