At a Glance
- Tasks: Lead complex data migration and ensure accurate data transfer in Workday.
- Company: Global consultancy with a focus on transformation programmes.
- Benefits: Hybrid working, competitive salary, and opportunities for professional growth.
- Other info: Join a dynamic team and enhance your career in a supportive environment.
- Why this job: Be at the forefront of major transformations and make a real impact.
- Qualifications: Experience in Workday Financials and strong data management skills.
The predicted salary is between 63000 - 77000 £ per year.
TechNET IT is partnering with a global consultancy to hire a Principal Workday Financials Data Consultant for a major transformation programme in the UK. You will own complex data migration, conversion and reconciliation across the Workday lifecycle, partnering with delivery teams to ensure accurate data transfer.
In this Principal role you will:
- Lead data migration activities
- Map data to Workday templates
- Use iLoad/EIB/Transporter tools
- Drive validation and analytics for successful tenant
Lead Workday Financials Data Consultant - Hybrid SC Cleared employer: TechNet IT Recruitment (Permanent)
As a Principal Workday Financials Data Consultant with our leading global technology and transformation consultancy, you will thrive in a dynamic and supportive work culture that prioritises employee growth and development. With a hybrid working model based in the UK, we offer competitive day rates and the opportunity to engage in significant transformation programmes, ensuring your contributions are both meaningful and impactful. Join us to be part of a collaborative team that values innovation and excellence in delivering top-tier solutions for our clients.
Contact Details:
TechNet IT Recruitment (Permanent) Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Lead Workday Financials Data Consultant - Hybrid SC Cleared
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like TechNet IT Recruitment (Permanent)!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Lead Workday Financials Data Consultant - Hybrid SC Cleared at TechNet IT Recruitment (Permanent).
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like TechNet IT Recruitment (Permanent).
✨Apply Directly through Our Website
When you find a suitable opening like Lead Workday Financials Data Consultant - Hybrid SC Cleared at TechNet IT Recruitment (Permanent), make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Lead Workday Financials Data Consultant - Hybrid SC Cleared
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at TechNet IT Recruitment (Permanent), your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at TechNet IT Recruitment (Permanent). Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at TechNet IT Recruitment (Permanent)
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at TechNet IT Recruitment (Permanent)!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.