At a Glance
- Tasks: Join us as a Workday Data Analyst and dive into every phase of deployment.
- Company: Invisors, a flexible and innovative professional services firm.
- Benefits: Gain valuable skills, mentorship, and a supportive team environment.
- Other info: Enjoy a dynamic culture that values collaboration and personal growth.
- Why this job: Make an impact by solving real-world problems with cutting-edge Workday technology.
- Qualifications: Passion for problem-solving and strong communication skills are essential.
The predicted salary is between 50000 - 60000 £ per year.
About Invisors: As a professional services firm, our people are our brand: It’s mission-critical that we hire and nurture talent effectively. We pride ourselves on being flexible and innovative, with a passion for client satisfaction, and a relentless pursuit of improvement. Most of our team joined Invisors from Workday Practices of larger global firms looking for an innovative and nimble culture that encourages new ideas and collaboration, free of red tape. We pride ourselves on maintaining a healthy balance of college graduates, experienced enterprise professionals who have used Workday to perform their administrative responsibilities, and Workday-certified consultants who are authentic, empowered, and resilient. More important than your Workday experience, our recruiting priority is to get to know you and ensure a culture fit.
About this Role: A Workday Deployment Data Conversion Analyst is active in every phase of a Workday deployment from the initial project planning stage all the way through to production support and can serve as several roles during a deployment, those being: Analyst & Solution Designer, Implementer, Tester, and Trainer. Analysts will learn a host of Workday specific skills across the entire Workday suite including Workday configuration, security, business processes, testing and reporting. Additionally, consulting skills such as presentation, communication, building and maintaining relationships are a key part of the role and will be gained through training, on the job activities and mentoring from more senior resources.
We are looking for candidates who are passionate about solving problems with strong written and oral presentation, fantastic interpersonal team focused skills. Someone who is coachable, authentic, and resourceful with a detail orientated approach would be an excellent applicant. A high level of flexibility is required, including willingness to travel to customer sites.
- Consulting/Professional Services Experience – 0 to 1 year
- Minimum Workday Ecosystem Experience – n/a
Shows excellent time management. Demonstrates great teamwork and contributes to their cohort, Workday area, and office. Develops work product under direction. Looks for opportunities to assist with internal initiatives or non-project work. Works studiously to learn Workday and consulting skills in their core area. Communicates issues effectively to customers and Invisors Project Team. Understands how to prioritize multiple tasks based on level of urgency and importance. Early on will need guidance from coaches and more senior resources. Leads an internal pre-training session at least once during time as an analyst. Takes notes on meetings and shares relevant info with key stakeholders, updates requirements templates and KT documents. Teaches client counterparts key Workday functionality and helps new team members. Creates and executes test scenarios for all configuration changes made in the Workday environment.
Workday Data Analyst (UK) in Derry employer: Invisors
Invisors is an exceptional employer that fosters a dynamic and innovative work culture, perfect for those looking to grow their careers in the Workday ecosystem. With a strong emphasis on employee development, collaboration, and flexibility, we provide our team with the tools and support needed to thrive, including mentoring from experienced professionals and opportunities to engage in diverse projects. Located in the UK, our firm values authenticity and resilience, making it an ideal place for passionate individuals eager to make a meaningful impact.
StudySmarter Expert Advice🤫
We think this is how you could land Workday Data Analyst (UK) in Derry
✨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 Invisors!
✨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 Workday Data Analyst (UK) at Invisors.
✨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 Invisors.
✨Apply Directly through Our Website
When you find a suitable opening like Workday Data Analyst (UK) at Invisors, 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 Workday Data Analyst (UK) in Derry
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 Invisors, 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 Invisors. 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 Invisors
✨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 Invisors!
✨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.
