Senior Alteryx Developer

Job Description

* We are looking for immediate joiners only. If interested, please email at [email protected] with your CTC, ECTC and notice period along with details of your experience on Alteryx ** About the Role We are seeking a skilled Alteryx Developer / Data Automation Analyst to design, build, and optimize data workflows and analytics pipelines using Alteryx Designer, Alteryx Server, and related BI tools . The ideal candidate will have a strong background in ETL, data wrangling, process automation, and data validation , with an ability to translate business requirements into efficient Alteryx solutions. This role sits at the intersection of data engineering and analytics , supporting cross-functional teams in automating data pipelines, building analytical models, and ensuring data quality for downstream systems such as Tableau, Power BI, or Snowflake. Key Responsibilities Design, develop, and maintain Alteryx workflows, macros, and analytic apps to automate data preparation, blending, and reporting tasks. Perform ETL operations across multiple data sources (databases, APIs, flat files, Excel, SAP, etc.). Implement data quality checks and validation frameworks within Alteryx for consistency and accuracy. Collaborate with data engineers, analysts, and QA teams to ensure reliable and efficient data pipelines. Optimize workflows for performance, scalability, and reusability. Integrate Alteryx processes with visualization platforms such as Tableau , Power BI , or Qlik . Support the deployment and scheduling of workflows on Alteryx Server / Gallery . Develop documentation, best practices, and version control (Git or similar) for Alteryx assets. Troubleshoot workflow failures and resolve data quality or performance issues. Participate in data governance, validation, and QA processes , ensuring data traceability across systems. Required Skills & Qualifications 3+ years of hands-on experience with Alteryx Designer and Alteryx Server . Proficiency in SQL and relational databases (e.g., Snowflake, Redshift, SQL Server, Oracle). Strong understanding of data preparation, cleansing, and validation principles . Experience with ETL / data integration tools and enterprise data environments. Knowledge of Python or R scripting within Alteryx (preferred). Exposure to data visualization (Tableau, Power BI) and report automation . Familiarity with data QA / testing tools such as Pandera, Great Expectations, or custom Alteryx-based validation frameworks. Strong analytical and problem-solving skills. Excellent communication and documentation abilities.