Job Description :

We are looking for an experienced Alteryx Developer with 3 - 4 years of recent, hands-on experience in Alteryx Designer to support SAP and enterprise data automation and reporting initiatives.

The candidate will be responsible for building workflows from scratch, preparing and transforming data from multiple sources, troubleshooting workflow issues, and delivering curated datasets for Business Intelligence (BI) reporting.

The ideal candidate should have strong data preparation skills, the ability to independently debug and improve workflows, and an understanding of controlled releases and data governance.

Key Responsibilities :

- Design, develop, and maintain Alteryx workflows from scratch to support enterprise data automation and reporting requirements.

- Perform data preparation and transformation using filters, joins, unions, formulas, and aggregations.

- Integrate data from multiple sources, including Excel, CSV, text files, and databases.

- Debug and resolve workflow errors, data inconsistencies, and processing issues independently.

- Modify, enhance, and optimize existing workflows to accommodate changing business requirements.

- Prepare and deliver curated, reliable datasets for BI reporting and analytics.

- Support SAP and enterprise data automation initiatives.

- Follow established release management, data governance, and quality control processes.

Required Skills :

- 3 - 4 years of recent, hands-on experience with Alteryx Designer.

- Ability to build complex workflows from scratch rather than only running or modifying existing workflows.

- Strong knowledge of data preparation, cleansing, transformation, and integration.

- Hands-on experience with Alteryx tools such as Input/Output, Filter, Join, Union, Formula, and Summarize/Aggregation.

- Ability to independently troubleshoot workflow errors and resolve data quality issues.

- Experience working with multiple data sources, including Excel, CSV, text files, and databases.

- Ability to enhance existing workflows and deliver datasets that meet reporting requirements.

- Understanding of controlled releases and data governance practices.