Alteryx Lead Developer

• Designing, developing, and managing Alteryx workflows to support business intelligence reporting and data analytics initiatives.
• Expertise in combining diverse datasets, leveraging preparatory tools, joins, transforms, and parsing functions for enriched data outputs.
• Familiarity with advanced Alteryx toolsets such as Predictive Analytics, Time Series analysis, and Machine Learning, including integration with Python and R for enhanced functionality.
• Strong knowledge of database technologies like Oracle and SQL Server, enabling efficient interaction within complex data environments.
• Ability to drive projects independently with minimal supervision while maintaining strong analytical and problem-solving capabilities.
• Exemplified team collaboration skills that promote knowledge sharing and quality assurance in deliverables.
• Experience analyzing user stories and use cases critically to assess validity and feasibility before solution design and implementation.

• Client Centricity: Prioritize client needs through attentive service, timely delivery, and value creation.
• Passion for Results: Commit to achieving high-quality outcomes and driving impactful business results.
• Execution Excellence: Demonstrate meticulous planning and flawless execution of AI and analytical projects.
• Collaborative Working: Foster teamwork and open communication across cross-functional groups.
• Learning Agility: Embrace continuous learning, adapting quickly to evolving technologies and methodologies.
• Problem Solving & Decision Making: Apply analytical thinking to address complex challenges and make sound decisions.
• Effective Communication: Convey ideas clearly and listen actively to collaborate with diverse stakeholders.

• Proficient expertise in Alteryx Designer and Alteryx Gallery with a minimum of 10 years of practical experience.
• Strong Python scripting skills for enhancing data workflow automation and AI integration.
• Solid foundational knowledge of databases such as Oracle and SQL Server.
• Experience with scheduling, monitoring, and troubleshooting data workflows in enterprise environments.
• Exposure to Hadoop and big data ecosystems considered valuable.
• Good understanding of data modeling, data validation, and data quality management principles.

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Wipro