At a Glance
- Tasks: Lead the evolution of Master Data Management and Single Customer View capabilities.
- Company: Dynamic organisation focused on innovative data solutions.
- Benefits: Competitive pay, flexible working, and opportunities for professional growth.
- Other info: Hands-on role with collaboration across technology and business teams.
- Why this job: Shape the future of customer data and make a real impact.
- Qualifications: Strong MDM experience and excellent leadership skills required.
The predicted salary is between 60000 - 75000 £ per year.
- Lead Data Specialist
- 3 month contract
- Inside IR35
We're looking for an experienced Lead Data Specialist to drive the evolution of our clients Master Data Management (MDM) and Single Customer View (SCV) capabilities across Group Customer and UK Insurance.
In this hands-on leadership role, you'll shape the future of this organisations master data by assessing the current landscape, defining the target operating model, and transitioning MDM into a business-critical service.
You'll work closely with technology, architecture, engineering and business stakeholders to deliver a trusted, scalable customer data foundation.
Key responsibilities
- Lead the MDM and SCV strategy and roadmap.
- Enhance customer matching, golden record and data governance capabilities.
- Productionise MDM with robust operational processes, monitoring and controls.
- Collaborate with architects and engineers to deliver secure, scalable cloud-based solutions.
- Build long-term MDM capability through standards, frameworks and best practice.
What we're looking for
- Strong experience with Master Data Management (MDM) and customer data platforms.
- Knowledge of Informatica MDM, Google Cloud Platform (GCP) and batch/real-time data processing (or similar technologies).
- Experience in data governance, operational service design and data quality.
- Excellent stakeholder management and leadership skills with the ability to influence across business and technology.
Senior Data Specialist in England employer: JSS
JSS is an exceptional employer that fosters a dynamic work culture, encouraging collaboration and innovation in the heart of the UK near Bristol. Employees benefit from comprehensive growth opportunities, competitive compensation, and the chance to influence strategic decisions in a pivotal role that shapes the future of hospitality revenue management. Join us to be part of a forward-thinking team dedicated to excellence and professional development.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Specialist in England
✨Tap into Online Data Science Communities
Join online communities focused on data science like Kaggle, LinkedIn groups, or Reddit threads. These are goldmines for temporary gigs, as you can network with professionals and potentially hear about opportunities at companies like JSS before they're even advertised!
✨Show Off Your Skills With Projects
Got some cool data science projects? Showcase them on platforms like GitHub or create a personal portfolio website. This visibility is crucial for landing temporary roles—let recruiters see your actual skills in action, which can set you apart from the crowd.
✨Check Out Specialist Job Boards
For temp roles, hit up job boards dedicated to tech and data science, like Stack Overflow Jobs or DataJobs. These platforms often feature openings that you won’t find on general job sites, including contracts with companies like JSS.
✨Leverage University Resources
If you're currently at uni or recently graduated, tap into your school's career services. They often have connections with companies looking for temporary data science interns or contract workers, and they might even host job fairs with employers like JSS.
We think you need these skills to ace Senior Data Specialist in England
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at JSS, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!
Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to JSS, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab JSS’s attention and show the tangible impact of your work.
How to prepare for a job interview at JSS
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at JSS.
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
✨Highlight Your Adaptability
Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at JSS.
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at JSS.
