Alteryx

Responsibilities :

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.

Additional Responsibilities:

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

Technical and Professional Requirements:

Primary skills:Technology- DataAnalytics- Alteryx