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Alteryx
  • Posted 10 hours ago
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Job Description

  • Primary skills:Technology->DataAnalytics->Alteryx

Key Responsibilities:

  • Design, build, and maintain Alteryx workflows for data preparation, transformation, and integration.
  • Develop and support ETL/data workflows to ingest, cleanse, validate, and enrich data from multiple sources.
  • Translate business requirements into technical workflow designs and reusable components/macros.
  • Implement data quality checks, reconciliation logic, and exception handling to ensure accuracy and completeness.
  • Optimize workflow performance by improving logic, reducing run time, and managing resource usage effectively.
  • Document workflow logic, data mappings, and operational steps to support maintainability and handovers.
  • Collaborate with analysts, data engineers, and stakeholders to troubleshoot issues and deliver enhancements.
  • Support production runs, monitor scheduled workflows, and resolve failures within defined timelines. Minimum Qualifications:
  • Bachelor's degree (or equivalent) in Engineering/Technology/Computer Applications/Science (e.g., BTech, BE, BSc, MCA, MTech, MSc).
  • 3–5 years of experience working with Alteryx to build and maintain data preparation or automation workflows.
  • Strong hands-on experience in ETL and data workflow development, including transformation and validation steps.
  • Solid understanding of data concepts such as joins, aggregations, filtering, data types, and schema handling.
  • Ability to analyze requirements, debug workflow issues, and deliver reliable outputs with attention to detail. Preferred Qualifications:
  • Experience integrating Alteryx workflows with databases and file-based sources, including efficient input/output patterns.
  • Familiarity with SQL for data validation, reconciliation, and performance-aware querying alongside Alteryx pipelines.
  • Exposure to workflow scheduling/automation and operational support for recurring data processes.
  • Understanding of analytics lifecycle practices such as versioning, documentation standards, and reusable workflow design.
  • Ability to communicate clearly with stakeholders, present findings, and recommend improvements to data processes. Good to have skills: SQL, Data Warehousing, Data Quality Frameworks, Power BI, Python

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