At a Glance
- Tasks: Lead data transformation projects and ensure compliance with data policies.
- Company: Join a dynamic public sector client focused on large-scale data initiatives.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on innovation and best practices.
- Why this job: Make a real impact by shaping data solutions that drive change.
- Qualifications: Expertise in data warehousing, modelling, and architecture required.
The predicted salary is between 70000 - 90000 £ per year.
Overview We are seeking an experienced Data Subject Matter Expert (SFIA 5) to join a large-scale data transformation and migration programme for a Public Sector Client.
The role provides deep data expertise across data warehousing, data modelling and data architecture, setting the standards and practices that govern how Legacy data is cleansed, augmented, extracted and integrated into the target solution.
You will assure the proposed solution's management of Legacy data across its full life cycle, ensuring it meets regulatory requirements and the client's data policies.
Working closely with the programme architecture team and the incumbent shared services provider, you will make certain the delivered solution is compliant, properly integrated and built to last.
Key Responsibilities Provide subject matter expertise across data warehousing, data modelling and data architecture, translating complex data problems into workable solutions.
Define and embed best practice standards and processes for Legacy data, covering cleansing, augmentation, extraction methods and data integration.
Assure the proposed solution's management of Legacy data throughout its life cycle, from extraction and transformation through to retention and disposal.
Advise on regulatory requirements and data policies, ensuring the solution can evidence compliance.
Collaborate with the progra...
Data SME - SFIA 5 employer: Layer7
Join a forward-thinking public sector organisation that values innovation and collaboration, where your expertise as a Data Subject Matter Expert will directly contribute to impactful data transformation initiatives. Enjoy a supportive work culture that prioritises professional development, offering numerous opportunities for growth and advancement in your career. Located in a dynamic environment, you will benefit from a strong commitment to compliance and best practices, ensuring your work is both meaningful and rewarding.
StudySmarter Expert Advice🤫
We think this is how you could land Data SME - SFIA 5
✨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 Layer7!
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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 Layer7.
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We think you need these skills to ace Data SME - SFIA 5
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 Layer7, 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 Layer7. 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 Layer7
✨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 Layer7!
✨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.
