Data Analyst

Cognizant; Bengaluru Urban; Hybrid; INR 600,000 - 900,000; Full time

Job summary

Cognizant is seeking an experienced data analyst for a hybrid role based in Bengaluru. The position involves transforming complex datasets into actionable insights using Python,Excel VBA macros, Tableau, and Power BI.

You will design efficient reporting solutions, optimize data workflows, and support strategic decisions across business units while upholding governance and ethics in analytics. You will collaborate with cross-functional teams to deliver analyses, build robust models, and ensure

Qualifications

• Strong proficiency in Python for data analysis including data manipulation and statistical exploration.
• Advanced expertise in MS Excel and Excel macro VBA development for automated workflows and reporting.
• Expertise in Tableau to design user-friendly dashboards for diverse audiences.
• Solid understanding of exploratory data analysis principles (profiling, feature exploration, visuals).
• Domain exposure to industry essentials enabling alignment of metrics with business realities and regulatory contexts.

Responsibilities

• Analyze complex datasets using exploratory data analysis techniques to uncover trends and guide decisions across the organization.
• Develop robust data models and analytical frameworks in Python to standardize calculations and enable reuse.
• Create and maintain interactive Power BI dashboards and Tableau visual analytics for stakeholders.
• Design and maintain advanced Excel workbooks and macro-driven solutions to automate tasks and improve accuracy.
• Collaborate with cross-functional teams to translate business questions into analyses and deliver actionable outputs.
• Implement data quality checks and optimize data pipelines to support reliable reporting in a hybrid work environment.

Skills

Python data analysis

Excel VBA macros

Tableau

Power BI

Exploratory Data Analysis

Tools

Tableau

Power BI

Excel VBA

Job description

Job Summary

Job Summary 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. The analyst will design efficient reporting solutions optimize data workflows and support strategic decisions across business units while applying industry essentials knowledge to improve processes and contribute to sustainable growth.

Job Summary

Job Summary 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. The analyst will design efficient reporting solutions optimize data workflows and support strategic decisions across business units while applying industry essentials knowledge to improve processes and contribute to sustainable growth.

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.
• Good experience in Power BI

• 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.

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 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.