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[Apply Now] Developer

[Apply Now] Developer

KPMG IndiaIndia
7 hours ago
Job description

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.
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