At a Glance
- Tasks: Shape data management across business systems and establish best practices.
- Company: Join System C, a leader in health and care data solutions.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Other info: Collaborative culture that values integrity and continuous improvement.
- Why this job: Make a real impact on data governance and integration in a growing organisation.
- Qualifications: Experience with data across systems and strong problem-solving skills.
The predicted salary is between 50000 - 60000 £ per year.
At System C, data underpins how we support health and care organisations to deliver better outcomes.
We are looking for a Data Architect (Business Systems) to join our team in a newly created role, offering the opportunity to shape how data is managed across business systems and establish best practices as the function evolves.
You will be a key point of contact for data across systems such as Salesforce, Workday, Net Suite, Percursive and Jira.
Helping to ensure data is accurate, connected and delivering real value to the business.
This is a hands-on role where you'll take ownership of data governance, data flows and integration between systems, while working closely with stakeholders across Finance, Sales, HR & Services.
You'll play an important role in bringing data together from different sources, improving its quality and helping create a clear, trusted 'source of truth' across the organisation.
Working through the enterprise integration platform, you will ensure data flows are robust, well-governed, and aligned to business priorities.
Own and develop data governance practices across business systems, working closely with system owners and building on existing processes.
Manage and improve data flows and integrations between key platforms.
Work with system owners to ensure data accuracy, consistency, and quality.
Help define and maintain a source of truth for business critical data.
Support the improvement of reporting and data-driven insights.
Ensuring all data movement complies with security, privacy, and regulatory obligations, including GDPR.
We are looking for someone with solid experience working with data across systems, who enjoys problem solving and improving how data is used in a business environment.
This role would suit someone currently working in a Data, BI, or Business Systems role who is looking to step into a more architect-focused position with greater ownership and impact.
Experience working with data across multiple systems.
Exposure to system integrations and how data moves between platforms.
The ability to understand complex data and simplify it for others.
You will play a critical role in shaping how data supports a growing organisation, within a culture that values integrity, ownership, collaboration, and continuous improvement.
Apply today to help define the future of data across System C.
StudySmarter Expert Advice🤫
We think this is how you could land Data Architect - Business Intelligence 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!
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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.
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When you find a suitable opening like Data Architect - Business Intelligence 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 - Business Intelligence in Liverpool
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.
