Cognizant is hiring for the role of Data Analyst!

Responsibilities of the Candidate:

- 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.




- 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 that analytical outputs reflect relevant regulations standards and market dynamics.
- Support governance practices by adhering to data security policies respecting privacy considerations and promoting ethical use of analytics that benefits customers communities and the company mission.
- Contribute to a culture of analytical excellence by sharing best practices mentoring peers on modern data techniques and championing the use of evidence based decision making in everyday work.

Requirements:

- 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 work from home.

📌 Data Analyst (Bengaluru)
🏢 Unstop
📍 Bengaluru