Alteryx Developer

Description :

- Design, test, and implement Alteryx workflows, macros, and applications.

- Optimize existing workflows for enhanced performance and efficiency.

- Prepare, blend, clean, and transform data to meet business needs.

- Maintain data integrity by troubleshooting and resolving discrepancies.

- Collaborate with business stakeholders to gather and analyze data requirements.

- Provide advice on automation tools and ensure alignment with project objectives.

- Train users on Alteryx tools, automation processes, and best practices.

- Maintain detailed documentation of workflows, processes, and procedures.

- Generate reports and control checks using Alteryx and other reporting tools.

- Manage security, licensing, and interface integrations with any external systems.

- Implement and uphold data governance and quality standards.

- Regularly update mapping tables and ensure compliance with regulatory requirements.

- Monitor daily workflows, troubleshoot issues, and provide technical support.

- Liaise with third-party software vendors for updates and support.

- Participate in project meetings as a Subject Matter Expert (SME).

- Contribute to system/process design, testing (System Testing, UAT), and change management.

- Identify opportunities for process improvement and automation.

- Stay updated with new Alteryx features and related technologies to enhance team capabilities.

Qualifications :

- Bachelors degree in Computer Science, Information Systems, Mathematics, Engineering, Business, or a related field.

- Alteryx Designer Core certified at a minimum.

- Strong background in data analytics, manipulation, and visualization.

- Proficiency in Alteryx, SQL, and Excel.

- Knowledge of data visualization tools like Tableau or Power BI is a plus.

- Familiarity with programming languages like Python or R is desirable.

- Excellent problem-solving and analytical skills.

- Strong written and verbal communication abilities.

- Highly collaborative and self-motivated with a proactive work approach.

- Understanding of data quality governance and regulatory requirements.