Data Analyst β€” Workday HCM & Finance Implementation (Hybrid) in London

Data Analyst β€” Workday HCM & Finance Implementation (Hybrid) in London

London Full-Time 36000 - 60000 Β£ / year (est.) Hybrid
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At a Glance

  • Tasks: Build a cloud-based data warehouse and create dashboards using Power BI or Tableau.
  • Company: Leading organisation in the insurance sector with a focus on innovation.
  • Benefits: Hybrid work model, competitive pay, and opportunities for professional growth.
  • Other info: Initial 6-month engagement with potential for extension.
  • Why this job: Join a pivotal project and make an impact in the insurance industry.
  • Qualifications: Experience with Workday modules, strong SQL skills, and stakeholder communication.

The predicted salary is between 36000 - 60000 Β£ per year.

A leading organization in the insurance sector is seeking an experienced Business Data Analyst for a Workday HCM and Finance implementation project. You will play a crucial role in building a cloud-based data warehouse, gathering data requirements, and creating dashboards using Power BI or Tableau.

The ideal candidate should have:

  • Proven experience with Workday modules
  • Strong SQL skills
  • The ability to effectively communicate with stakeholders

This is a hybrid position based in the UK with an initial 6-month engagement.

Data Analyst β€” Workday HCM & Finance Implementation (Hybrid) in London employer: ABC

Thoughtworks is an exceptional employer, offering a dynamic work culture in Manchester that prioritises career development and collaboration. As an Infra & DevOps Engineer, you'll have the opportunity to engage with diverse stakeholders while working on cutting-edge cloud and infrastructure projects, ensuring your skills are continuously honed in a supportive environment. With a focus on technical excellence, Thoughtworks empowers its employees to thrive and make a meaningful impact in their roles.

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Contact Details:

ABC Recruitment Team

StudySmarter Expert Advice🀫

We think this is how you could land Data Analyst β€” Workday HCM & Finance Implementation (Hybrid) in London

✨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 ABC!

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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 Data Analyst β€” Workday HCM & Finance Implementation (Hybrid) at ABC.

✨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 ABC.

✨Apply Directly through Our Website

When you find a suitable opening like Data Analyst β€” Workday HCM & Finance Implementation (Hybrid) at ABC, 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 Data Analyst β€” Workday HCM & Finance Implementation (Hybrid) in London

Business Data Analysis
Workday HCM
Workday Finance
Cloud-based Data Warehouse
Data Requirements Gathering
Dashboard Creation
Power BI

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 ABC, 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 ABC. 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 ABC

✨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 ABC!

✨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.