At a Glance
- Tasks: Analyse data ecosystems and support technology transformation in a dynamic environment.
- Company: Join a leading professional services firm with a focus on innovation.
- Benefits: Competitive daily rate, hybrid work model, and opportunities for career advancement.
- Other info: Collaborative culture with a commitment to professional growth and development.
- Why this job: Make an impact by bridging technical and business teams in a highly regulated setting.
- Qualifications: Experience in data analysis, strong SQL skills, and knowledge of Azure technologies required.
The predicted salary is between 27300 - 32700 £ per year.
- Systems Data Analyst | Inside Contract | Hybrid
- Contract Duration: Initial 6 Months
- Hybrid: 40% or less onsite a week (London
- Industry: Professional Services / Highly Regulated
- Environment
- Job
Summary: Seeking an experienced Systems Data Analyst to support a major technology transformation programme within a highly regulated organisation.
The successful candidate will have a strong background in database analysis, data architecture documentation, and migration projects, with the ability to bridge the gap between technical teams and business stakeholders.
Experience working with SQL, Azure technologies, complex enterprise applications, and modern database platforms is essential.
Key
Responsibilities
- Assess and interpret data ecosystems across multiple business-critical applications.
- Capture and maintain technical documentation to support future-state platform design.
- Define data migration requirements and establish mapping between legacy and target systems.
- Partner with delivery teams to identify data dependencies, risks and integration requirements.
- Investigate legacy platforms to uncover undocumented functionality and data relationships.
- Contribute to data governance initiatives and promote best practice across projects. Qualifications & Requirements:
- Demonstrable experience within Data Analyst, Systems Analyst or Database-focused roles.
- Strong SQL skills and confidence analysing data held across diverse platforms.
- Solid understanding of data structures, modelling techniques and database architecture.
- Experience delivering data migration, transformation or application replacement projects.
- Knowledge of Azure data services and cloud-based database technologies.
- Exposure to document-oriented databases such as Azure Cosmos DB would be highly advantageous.
- Strong communication skills with the ability to engage technical and non-technical stakeholders.
Services offered by Computappoint Limited are those of an Employment Business and/or Employment Agency in relation to this vacancy.
Computappoint do not use AI to filter or assess candidates.
We use experienced and dedicated recruiters who are committed to matching the best people with the right opportunities
Systems Data Analyst in London employer: Computappoint
At Computappoint, we pride ourselves on being an excellent employer that fosters a collaborative and innovative work culture. Our hybrid working model allows for flexibility, with the opportunity to work mostly remotely while still engaging with the team in London once a month. We are committed to employee growth, offering continuous learning opportunities and a supportive environment where your contributions truly matter.
StudySmarter Expert Advice🤫
We think this is how you could land Systems Data Analyst in London
✨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 Computappoint 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 Computappoint.
✨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 Computappoint.
We think you need these skills to ace Systems Data Analyst in London
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Computappoint, 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 Computappoint, 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 Computappoint’s attention and show the tangible impact of your work.
How to prepare for a job interview at Computappoint
✨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 Computappoint.
✨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 Computappoint.
✨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 Computappoint.
