At a Glance
- Tasks: Optimise and enhance the Workday platform for People and Payroll functions.
- Company: Join a forward-thinking company in Tyne & Wear with a hybrid working model.
- Benefits: Enjoy a competitive salary of £50k and flexible working arrangements.
- Other info: Collaborative environment with opportunities for continuous learning and growth.
- Why this job: Make a real impact by driving smarter ways of working with data and systems.
- Qualifications: Strong knowledge of Workday HCM and experience in report building.
The predicted salary is between 40000 - 50000 £ per year.
We are looking for a People Systems Analyst to play a key role in maintaining, optimising, and enhancing the Workday platform across People and Payroll functions. If you’re passionate about data, systems, and driving smarter ways of working, this is your opportunity to make a real impact.
What you’ll be doing as a People Systems Analyst:
- Be the go-to expert for Workday configuration, support, and continuous improvement.
- Collaborate closely with People, Payroll, and business stakeholders to ensure our systems are accurate, efficient, and user-friendly.
- Configure, maintain, and troubleshoot Workday modules including Core HCM, Absence, and Payroll, with scope to support future modules.
- Develop and maintain business processes, calculated fields, condition rules, security roles, and integrations.
- Support bi-annual Workday releases, including testing, documentation, and stakeholder communications.
- Ensure data accuracy and integrity across all People systems.
- Conduct data audits and implement robust data quality controls.
- Contribute to system upgrades, enhancements, and new module implementations.
What we’re looking for in the People Systems Analyst:
- Strong knowledge of Workday HCM and business process configuration.
- Experience building Workday reports (Advanced, Matrix, and Composite preferred).
- A strong technical aptitude and curiosity to learn new Workday features.
- A customer-first mindset focused on delivering great user experiences.
- High attention to detail and data accuracy.
- Confidence to challenge unclear requirements and highlight risks.
ICT Systems Analyst employer: Lynn Bennett Resourcing
As an employer, we pride ourselves on fostering a collaborative and innovative work culture that empowers our employees to thrive. With a competitive salary of £50k and the flexibility of hybrid working, we offer exceptional benefits and opportunities for professional growth, particularly in the dynamic field of ICT systems. Join us in Tyne & Wear, where your expertise in Workday will not only be valued but will also contribute significantly to enhancing our People and Payroll functions.
StudySmarter Expert Advice🤫
We think this is how you could land ICT Systems Analyst
✨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 Lynn Bennett Resourcing!
✨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 ICT Systems Analyst at Lynn Bennett Resourcing.
✨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 Lynn Bennett Resourcing.
✨Apply Directly through Our Website
When you find a suitable opening like ICT Systems Analyst at Lynn Bennett Resourcing, 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 ICT Systems Analyst
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 Lynn Bennett Resourcing, 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 Lynn Bennett Resourcing. 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 Lynn Bennett Resourcing
✨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 Lynn Bennett Resourcing!
✨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.
