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 transparent 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

📌 Require a Data Analyst in Bangalore (Bengaluru)
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📍 Bengaluru