Website TCS
Data Analyst – Tata Consultancy Services (TCS)
Opportunity Overview
Automation & Business Intelligence Workflow
The Data Analyst at TCS builds automated reporting frameworks, enterprise Power BI dashboards, and custom VBA macros to optimise data processing and workflow efficiency for global clients:
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│ 1. Data Ingestion & Legacy Extraction │ ➔ Extract raw datasets across enterprise systems using SQL & Advanced Excel modeling
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│ 2. Process Automation & VBA Scripting │ ➔ Automate data formatting, transformation & macro scripts using Excel VBA
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│ 3. Power Automate Workflow Deployment │ ➔ Integrate Cloud/Desktop Power Automate flows to schedule report delivery & alerts
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│ 4. BI Visualization & Leadership Insights │ ➔ Architect dynamic Power BI dashboards (DAX/Data Modeling) to present executive KPIs
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Key Responsibilities
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Enterprise Dashboarding: Design, construct, and maintain interactive Power BI visual dashboards and executive scorecards to monitor core client KPIs.
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Workflow Automation: Deploy automated end-to-end reporting solutions using Microsoft Power Automate (Desktop & Cloud flows) to eliminate manual tasks.
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Advanced Excel & VBA Engineering: Create dynamic financial and operational spreadsheets utilizing complex formulas, dynamic arrays, and custom VBA macros.
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Data Processing & Analytics: Extract, clean, transform, and validate complex multi-source operational datasets to ensure data hygiene and high integrity.
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Stakeholder Consultation: Partner with senior leadership and global business clients to translate complex business needs into automated analytical frameworks.
Qualification Matrix & Technical Skill Stack
Core Requirements
Key Focus Areas for Interview Preparation
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Advanced DAX & Power BI Architecture: Prepare for technical deep-dives into complex DAX calculations (e.g., time intelligence functions, context transition,
CALCULATEmodifier mechanics) and dataset modeling. -
Power Automate & VBA Automation Scenarios: Be ready to walk through past projects where you combined VBA macros with Power Automate flows to streamline complex manual workflows.
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Data Pipeline Performance: Review techniques for optimizing slow-loading Excel models, refactoring inefficient VBA loops, and optimizing Power Query execution speed.


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