KPMG India
Developer
KPMG IndiaIndia2 hours ago
Full-timeAccounting/Auditing, Information Technology

Development & Automation

  • Designed and developed complex data workflows using Alteryx Designer, enabling scalable and reusable ETL/ELT processes.
  • Built predictive and advanced analytics solutions leveraging Alteryx’s statistical tools and macros.
  • Implemented robust data quality checks and validation mechanisms within automated workflows.
  • Developed SQL queries involving complex joins across multiple tables for efficient data extraction.


🔹 Power BI Development & Reporting


  • Created interactive dashboards and visualizations using Power BI, tailored to business needs.
  • Built optimized data models and measures using DAX, ensuring high-performance reporting.
  • Automated data refresh schedules and monitored pipeline performance for reliability.
  • Transformed and cleansed data using Power Query/M, integrating sources like SQL, Excel, SharePoint, and APIs.


🔹 Data Integration & Management


  • Integrated data from diverse platforms including databases, flat files, cloud services, and web APIs.
  • Collaborated with DBAs and data engineers to ensure scalable data architecture and governance.
  • Scheduled and monitored workflows via Alteryx Server/Gallery, maintaining version control and lineage documentation.


🔹 Stakeholder Collaboration & Enablement


  • Partnered with business teams to gather requirements and translate them into technical solutions.
  • Conducted user training sessions and provided ongoing support for EUCs and digital tools.
  • Presented insights, alternative solutions, and project updates to management and key stakeholders.


🔹 Knowledge Sharing & Documentation


  • Maintained comprehensive documentation for Alteryx workflows and Power BI reports.
  • Contributed to internal knowledge bases and best practices repositories.
  • Participated in digital forums and supported team enablement through training materials.


🔹 Performance Optimization


  • Identified and resolved performance bottlenecks in workflows and dashboards.
  • Applied strategies for efficient processing of large datasets across platforms.

Key Skills

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