At a Glance
- Tasks: Shape and deliver high-quality digital solutions with a focus on client portals and AI workflows.
- Company: Join a leading Professional Services organisation with a dynamic work culture.
- Benefits: Initial 6-month contract with potential for extension and competitive pay.
- Other info: Work remotely with distributed teams and grow your skills in innovative tech.
- Why this job: Make a real impact by turning strategies into deliverable digital products.
- Qualifications: 5+ years as a Product or Business Analyst with solid Agile experience.
The predicted salary is between 50000 - 60000 £ per year.
We're working with a leading Professional Services organisation to find an experienced Product / Business Analyst to help shape and deliver high-quality digital solutions — spanning client portals, AI-enabled workflows, and data-driven products. You'll sit at the intersection of business analysis and product thinking, partnering with stakeholders, designers, and technology teams to turn strategy and user needs into real, deliverable solutions.
This is an initial 6 month contract with the possibility of extension.
- Leading requirements elicitation, analysis, and documentation (functional & non-functional)
- Shaping digital products, workflows, dashboards, and client-facing platforms
- Supporting agile delivery — backlog refinement, user stories, acceptance criteria
- Working across remote, distributed teams
5+ years as a Product Analyst, Business Analyst, or similar
- Solid Agile delivery experience
- Exposure to AI-enabled solutions, BPMN/workflow modelling (Bizagi a plus), and data/analytics projects
- A fast learner, comfortable picking up new domains and technologies quickly
Training Business Analyst employer: TechYard
Join a leading Professional Services organisation that values innovation and collaboration, offering a dynamic work culture where your contributions directly impact the delivery of cutting-edge digital solutions. With a strong focus on employee growth, you will have access to continuous learning opportunities and the chance to work alongside talented professionals in a supportive environment. This role not only provides the flexibility of remote work but also the excitement of engaging with advanced technologies like AI, making it an ideal place for those seeking meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land Training Business Analyst
✨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 TechYard 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 TechYard.
✨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 TechYard.
We think you need these skills to ace Training Business Analyst
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at TechYard, 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 TechYard, 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 TechYard’s attention and show the tangible impact of your work.
How to prepare for a job interview at TechYard
✨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 TechYard.
✨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 TechYard.
✨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 TechYard.
