Data Architect: Source of Truth for Business Systems in Liverpool

Data Architect: Source of Truth for Business Systems in Liverpool

Liverpool Full-Time 60000 - 80000 £ / year (est.) No working from home possible
System C

At a Glance

  • Tasks: Shape data management across business systems and establish best practices.
  • Company: System C, a forward-thinking company based in Liverpool.
  • Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
  • Other info: Join a dynamic team with exciting career advancement opportunities.
  • Why this job: Make a real impact on data governance and collaborate with diverse teams.
  • Qualifications: Experience in data governance, system integrations, and strong communication skills.

The predicted salary is between 60000 - 80000 £ per year.

System C, based in Liverpool, is seeking a Data Architect (Business Systems) to join their team. This newly created role will focus on shaping how data is managed across business systems, establishing best practices while collaborating with multiple stakeholders including Finance, HR, and Sales.

The ideal candidate will have experience in data governance, system integrations, and strong communication skills to bring value through effective data management across the organization.

Data Architect: Source of Truth for Business Systems in Liverpool employer: System C

At System C, we pride ourselves on being an excellent employer, offering a collaborative work culture that fosters innovation and professional growth. Located in the vibrant city of Liverpool, our team enjoys a supportive environment with opportunities for continuous learning and development, making it an ideal place for those looking to make a meaningful impact in data management across various business systems.

System C

Contact Details:

System C Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Architect: Source of Truth for Business Systems in Liverpool

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 System C!

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 Data Architect: Source of Truth for Business Systems at System C.

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 System C.

Apply Directly through Our Website

When you find a suitable opening like Data Architect: Source of Truth for Business Systems at System C, 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 Architect: Source of Truth for Business Systems in Liverpool

Data Governance
System Integrations
Communication Skills
Data Management
Stakeholder Collaboration
Best Practices Establishment
Analytical Skills

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 System C, 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 System C. 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 System C

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 System C!

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.