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- Tasks: Become a Workday HCM and Data expert, guiding clients through implementation phases.
- Company: Collaborative Solutions, LLC is a dynamic IT services firm with a global presence.
- Benefits: Enjoy a supportive environment, comprehensive training, and opportunities for community outreach.
- Why this job: Join a fast-paced team where your ideas matter and you can make an impact.
- Qualifications: Bachelor’s degree in IT or related field; 2-5 years of ERP Data Conversion experience required.
- Other info: Mid-senior level role with full-time employment in consulting and IT.
The predicted salary is between 48000 - 72000 £ per year.
Join to apply for the Workday Data Principal Consultant role at Collaborative Solutions, LLC. Cognizant Workday Practice is seeking a Principal Data Consultant experienced in Human Capital Management. As a Principal Data Consultant, you will guide clients through the transformation, implementation, and operation phases of a Workday implementation. This role is ideal for self-starters eager to work across various clients and all phases of Workday system implementations. We provide comprehensive on-the-job training and a supportive network of mentors. Join our team of experienced Workday professionals in a dynamic, fast-paced environment.
Responsibilities
- Become a Workday HCM and Data expert with knowledge of design, configuration, testing, and implementation.
- Partner with your team and clients to ensure project success.
- Utilize Workday tools like iLoad, EIB, Object Transporter, Advanced Load, and Migration Recipe for tenant-to-tenant migrations.
- Design data tracking, monitoring tools, and generate useful reports.
- Convert and map data sources into conversion templates using iLoads.
- Guide clients through data extraction, cleansing, and configuration processes.
- Create ETL scripts for data transformation and loading.
- Support data validation into Workday.
- Engage with clients throughout all project phases for a smooth transition.
- Manage multiple tasks independently, keeping stakeholders informed.
- Participate in training and knowledge-sharing within the organization.
Skills & Requirements
- Bachelor’s degree or equivalent in IT, MIS, or related field.
- 2-5 years ERP Data Conversion or HCM implementation experience.
- Workday HCM experience preferred.
- Security clearance is a plus.
- Experience with data conversion, mining, and loading.
- Advanced Excel skills.
- Strong analytical, problem-solving, and communication skills.
- Ability to work independently and in teams.
Why Choose Cognizant
- Entrepreneurial environment that values your ideas.
- Opportunities to do impactful work.
- Community outreach and volunteer programs.
- Learning and advancement opportunities.
- Global presence across North America, Europe, and Asia Pacific.
- Various affinity groups for support and networking.
Cognizant Core Values
- Work as One, Raise the Bar, Dare to Innovate, Do the Right Thing, Own It.
Additional Details
- Seniority level: Mid-Senior level.
- Employment type: Full-time.
- Job function: Consulting and IT.
- Industries: IT Services and Consulting.
Workday Data Principal Consultant (Basé à London) employer: Golden Bees
Contact Detail:
Golden Bees Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Workday Data Principal Consultant (Basé à London)
✨Tip Number 1
Familiarise yourself with Workday's tools and functionalities, especially iLoad, EIB, and Object Transporter. Having hands-on experience or even completing online tutorials can give you a significant edge during interviews.
✨Tip Number 2
Network with current or former employees of Collaborative Solutions, LLC. Engaging with them on platforms like LinkedIn can provide you with insider knowledge about the company culture and expectations for the role.
✨Tip Number 3
Prepare to discuss specific examples from your past experiences where you've successfully managed data conversion or HCM implementations. Highlighting your problem-solving skills in real scenarios will resonate well with interviewers.
✨Tip Number 4
Stay updated on the latest trends in Human Capital Management and data analytics. Being able to discuss recent developments or innovations in the field can demonstrate your passion and commitment to the role.
We think you need these skills to ace Workday Data Principal Consultant (Basé à London)
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Workday Data Principal Consultant position. Familiarise yourself with Workday tools and the skills needed for the role.
Tailor Your CV: Customise your CV to highlight relevant experience in Human Capital Management and ERP Data Conversion. Emphasise your analytical skills and any specific Workday experience you have to stand out.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for the role and the company. Mention specific projects or experiences that demonstrate your ability to guide clients through Workday implementations.
Proofread Your Application: Before submitting, carefully proofread your application materials. Check for any spelling or grammatical errors, and ensure that all information is clear and concise to make a strong impression.
How to prepare for a job interview at Golden Bees
✨Know Your Workday Tools
Familiarise yourself with Workday tools like iLoad, EIB, and Object Transporter. Being able to discuss how you've used these tools in past projects will demonstrate your hands-on experience and technical knowledge.
✨Showcase Your Analytical Skills
Prepare examples that highlight your analytical and problem-solving abilities. Discuss specific challenges you've faced in data conversion or HCM implementations and how you overcame them.
✨Emphasise Team Collaboration
Since the role involves partnering with clients and team members, be ready to share experiences where you successfully collaborated on projects. Highlight your communication skills and how you keep stakeholders informed.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your approach to data extraction, cleansing, and configuration. Think through potential challenges and articulate your strategies for ensuring project success.
