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Apply in 3 Minutes! Developer

KPMG IndiaIndia

2 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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