Data Management Lead Consultant

The Role

• Data Management Lead Consultant Workday, SQL, Power BI, Release Management, Python, Problem-Solving, and Decision-Making. ' Data Maintenance : Perform regular data updates, corrections, and maintenance tasks within the Workday platform covering HCM Module
• Issue Resolution : Troubleshoot and resolve data-related issues, working closely with functional teams to identify root causes and implement solutions.
• Data Validation : Conduct data validation checks to ensure compliance with business rules and regulatory requirements, addressing any discrepancies as they arise.
• User Support : Provide data-related support to Workday users, assisting with data queries, reporting requests, and system navigation.
• Data Auditing : Assist in conducting data audits to identify inconsistencies, errors, or areas for improvement, and work on corrective actions.
• Documentation : Maintain thorough documentation of data support processes, issue resolutions, and best practices to ensure knowledge transfer and continuity.
• Collaboration : Work collaboratively with cross-functional teams, including HR, Finance, and IT, to support data-related needs and ensure alignment with business objectives.
• Continuous Improvement : Identify opportunities for process improvements in data management practices and contribute to the development of efficient workflows.

Qualifications : Experience :

7-8 years of experience in Workday implementation / operations in modules core HCM / Compensation domain knowledge.

Expertise in handling data conversion using EIB, worksheets, org chart.

Capable of independently debugging and developing solutions regarding data upload , corrections.

Experience in handling complex organizations transactional data loads.

Technical Skills :

o Familiarity with Workday data structures and reporting tools.

o Proficient in data analysis tools and troubleshooting techniques.

o Knowledge data manipulation, visualization tools is a plus.

o Macro , Python , SQL knowledge is a plus.

Analytical Skills : Strong analytical and problem-solving skills, with attention to detail and a focus on data accuracy.

Communication : Good written and verbal communication skills, with the ability to work effectively with both technical and non-technical stakeholders.

About us

We are a global, team of innovators. Together, we harness engineering excellence and passion to co-create meaningful solutions to complex challenges. We turn organizations into data-driven leaders that can make a positive impact on their industries and society. If you believe that innovation can bring a better tomorrow closer to today, this is the place for you.

#LI-SA1

Championing diversity, equity, and inclusion

Diversity, equity, and inclusion (DEI) are integral to our culture and identity. Diverse thinking, a commitment to allyship, and a culture of empowerment help us achieve powerful results. We want you to be you, with all the ideas, lived experience, and fresh perspective that brings. We support your uniqueness and encourage people from all backgrounds to apply and realize their full potential as part of our team.

How we look after you

We help take care of your today and tomorrow with industry-leading benefits, support, and services that look after your holistic health and wellbeing. We are also champions of life balance and offer flexible arrangements that work for you (role and location dependent). We are always looking for new ways of working that bring out our best, which leads to unexpected ideas. So here, you ll experience a sense of belonging, and discover autonomy, freedom, and ownership as you work alongside talented people you enjoy sharing knowledge with.

We are proud to say We are an equal opportunity employer and welcome all applicants for employment without attention to race, colour, religion, sex, sexual orientation, gender identity, national origin, veteran, age, disability status

or any other protected characteristic.

Should you need reasonable accommodations during the recruitment process, please let us know so that we can do our best to set you up for success.

Skills Required

Data Conversion, Data Analysis, Data Management, Sql, Python