Workday Adaptive Specialist
IN-Remote
India Careers
Req #: 14595
Type: Regular
|
Overview: Avalara is an AI-first company. We expect every engineer, manager, and leader to actively leverage AI to enhance productivity, quality, innovation, and customer value. AI is embedded in our workflows, decision-making, and products - and success at Avalara requires embracing AI as an essential capability, not an optional tool. The Workday Adaptive Analyst will play a critical role in supporting Avalara's Financial Planning, Budgeting & Forecasting processes by developing, analyzing, and supporting Workday Adaptive platform. This role requires a strong understanding of Workday Adaptive model sheets (Standard, Model, Cube), reporting features. You should have good analytical skills and be able to work effectively and collaboratively. #LI-Onsite Responsibilities: * You will maintain and support Workday Adaptive models and reporting/modeling requirements advanced level day-to-day support for Workday Adaptive Planning users, including troubleshooting technical issues related to models and reporting and providing guidance on model/reporting-related questions. * You will be working closely with Workday Adaptive lead to identify improvement opportunities related to modeling and reporting. * Document project deliverables, process and workflows. * Work with end-users to promote system adoption and proficiency. * Stay abreast of industry best practices and new features in Workday Adaptive * You will be reporting to the Director of Financial Systems Architecture Qualifications: * You should have a bachelor's degree in information technology, accounting, finance or related fields with 3 or more years of experience on Workday Adaptive * Strong knowledge of Workday Adaptive functionalities- Model sheets, reporting(Matrix/Dashboards/Office Connect, etc.). * Support testing phases across solution development life cycle * Document system design, configuration and development objects * Demonstrated knowledge of automated financial systems and best practices