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Alteryx Data Analyst (Senior)

Indeed
Full-time
Onsite
No experience limit
No degree limit
Praça do Patriarca, 62 - Historic Center of São Paulo, São Paulo - SP, 01002-010, Brazil
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Description

Job Summary: KPMG is seeking professionals to develop, optimize, and automate ETL/ELT workflows in Alteryx, ensuring data integrity and quality. Key Highlights: 1. Opportunity to work with the latest technologies 2. Industry-leading professionals 3. A leading company in service provision **Inclusion, respect for diversity, and equity are part of KPMG’s DNA.** **Here, we value all individuals, encouraging and empowering our professionals to feel integral to our achievements.** **Regardless of your age, gender, race, color, creed, sexual orientation, ethnicity, national origin, or disability, we invite you to make a difference. Join the KPMG team!** **️‍ ️‍ ️ ✊** **✝️** **Inspire Confidence. Empower Change.** **At KPMG:** ----------------- * We do what is right **\#Integrity** * We learn and continuously improve **\#Excellence** * We think and act boldly **\#Courage** * We respect one another and grow stronger through our differences **\#Together** * We focus on what truly matters **\#ForBetter** **Responsibilities and Duties:** ------------------------------------ **If selected, you will have the opportunity to:** * Develop, optimize, and automate ETL/ELT workflows in Alteryx Designer. * Publish, schedule, and monitor workflows on Alteryx Server/Gallery. * Ensure data governance, integrity, and quality for processed data. * Collaborate with business teams to understand requirements and jointly translate them—alongside technical teams—into analytical solutions. * Create macros, analytic apps, and modular solutions in Alteryx for process automation. * Work with business areas to understand needs, gather requirements, and transform requests into clear and effective analytical solutions. * Document workflows, business rules, transformation logic, and dependencies to ensure traceability and ease of maintenance. * Perform troubleshooting and implement performance improvements. * Handle diverse data sources: relational databases, flat files, APIs, ERPs, CRMs, and more. **Requirements and Qualifications:** ------------------------------- **What are we looking for in you?** * Bachelor’s degree completed in Engineering, Computer Science, Information Systems, Statistics, Administration, Economics, or related fields. * Experience with Alteryx and data manipulation. * Hands-on experience in process automation. * Participation in data analysis projects. * Proficiency with Alteryx tools: Preparation, Join, Transform, Parse, and Interface Tools. * Creation of Macros, Analytic Apps, and Batch Macros. * Publishing and scheduling on Alteryx Server. * Workflow performance optimization and tuning. * Knowledge of data modeling and ETL best practices. * Familiarity with Python for complementary automations. * Knowledge of REST APIs, JSON, Excel, CSV, SharePoint, etc. **Preferred Qualifications** * Knowledge of tax/fiscal data is a significant advantage. * Familiarity with Alteryx Spatial tools. * Alteryx Designer certification (Core or Advanced). * Experience with Data Governance and Data Quality. * Familiarity with Scrum or Kanban. * Experience with Data Lake and Cloud platforms (Azure, AWS, or GCP). **Why Join KPMG?** ----------------------------------- * We work with the latest technologies; * Our professionals are industry references; * We are one of the world’s largest service-providing firms; **What Benefits Do We Offer?** -------------------------------- * Meal Voucher * Food Voucher * Medical Assistance * Dental Assistance * Transportation Voucher * Well-being Benefit (Gym) * Pharmacy Network * Life Insurance * KPMG Prev (Pension Plan) * Daycare Allowance * Undergraduate Education Incentive * Language Learning Incentive * Professional Association Subsidy * Wedding Gift * Newborn Gift * Extended Maternity Leave * Flexible Working Hours * My Time: Up to 6 full days per year—or 12 half-days—to take a break, care for yourself, and use as you wish, whenever needed. * PPL

Source:  indeed View original post
João Silva
Indeed · HR

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