At a Glance
- Tasks: Transform data into actionable insights and support decision-making processes.
- Company: Join SThree, a leading global STEM workforce consultancy.
- Benefits: Competitive day rates, flexible contracts, and professional development opportunities.
- Other info: Work with diverse industries and gain exposure to emerging data technologies.
- Why this job: Make a real impact by shaping how organisations leverage their data.
- Qualifications: Bachelor’s degree in Computer Science or related field; experience in data analysis.
The predicted salary is between 50000 - 60000 £ per year.
Please note the content of this advert does not represent a live vacancy.
About The Opportunity
This is an opportunity to register your interest in Data Business Analyst roles within our growing data and analytics practice.
We're looking for skilled professionals who can bridge the gap between business needs and data solutions, helping organisations unlock the value of their data through clear requirements, quality analysis and effective stakeholder engagement.
Roles of this type sit within collaborative delivery teams where you would work closely with business stakeholders, data engineers and analytics professionals to understand requirements, assess data quality and align data pipelines with business objectives.
You could be involved in shaping how data flows through organisations and supporting decisions that drive real impact.
- Typical Role Overview
- Location: Manchester, Leeds, London, or nationwide (UK based)
- Type: Contract
- Full-time
- Day Rate: £250–280 per day (or £380–450 per day dependent on experience and seniority)
- Qualifications: Bachelor’s degree in Computer Science or related field
- Domain: Data and Analytics
- Business Analysis
- What You Would Do
- Gathering and documenting data requirements from business stakeholders
- Analysing data quality issues and identifying improvements to data pipelines
- Aligning data solutions with business objectives and technical capabilities
- Engaging with stakeholders across the organisation to understand needs and communicate findings
- Contributing to requirements documentation and creating clear specifications for data initiatives
- Supporting the design and validation of data flows and processes
- Collaborating with data engineers, analysts and technical teams to deliver solutions
- What You Could Bring
- Experience in data requirements gathering and business analysis
- Familiarity with data pipelines, data quality assessment and pipeline alignment
- Understanding of stakeholder engagement within data and analytics projects
- Proficiency in tools such as Excel, Power BI, SQL and data modelling techniques
- Knowledge of BPMN, UML or similar process documentation methods
- Bachelor’s degree in Computer Science, Computer Engineering, Mathematics or related discipline
- Strong communication skills and ability to translate between technical and business language
- Nice-to-have
- Experience with cloud platforms such as Azure, AWS or GCP
- Familiarity with API design, microservices or distributed systems concepts
- Knowledge of SAP S/4HANA, SAP ECC or SAP RISE environments
- Experience with CI/CD pipelines, Docker, Kubernetes or infrastructure‑as‑code tools such as Terraform
- Programming experience in Python, Java, . NET or similar languages
- What Roles Of This Type Could Offer
- The opportunity to develop expertise in data analysis and business requirements within fast‑moving organisations
- Exposure to diverse industries and technical environments, from financial services to engineering
- Potential progression toward senior‑level analysis or specialist data roles
- Flexible contract‑based engagement, allowing you to build experience across multiple organisations
- Access to professional development and exposure to emerging data technologies and methodologies
- The chance to make a tangible difference in how organisations understand and use their data
- About SThree
SThree is the global STEM workforce consultancy.
We advise businesses, build expert teams and deliver project solutions to outpace tomorrow, together.
Across the UK, we connect talented specialists with cutting‑edge opportunities across technology, engineering, life sciences and financial services supported by our offices in London, Birmingham, Manchester, Glasgow and Leeds.
How To Register Interest
If you are interested in being added to our database to be considered for future opportunities, registering is quick and easy.
No cover letter required.
We will be in touch when we are instructed on these roles to discuss the next step in your career.
Disclaimer: Please note that the content of this advert does not represent a live vacancy or any guarantee of future vacancies, and by responding to this advert you agree to us adding your details to our database for future opportunities.
#J-18808-Ljbffr
Data Business Analyst: Turn Data into Decisions in London employer: SThree
SThree in Leeds is an exceptional employer that fosters a dynamic and collaborative work culture, perfect for those looking to thrive in recruitment. With uncapped earnings potential, performance incentives, and a strong commitment to employee development, you will find ample opportunities for growth while making a meaningful impact on clients and candidates alike.
StudySmarter Expert Advice🤫
We think this is how you could land Data Business Analyst: Turn Data into Decisions in London
✨Showcase Your Skills with a Public Portfolio
As a freelancer in data science, having a killer portfolio is essential. Showcase your projects on platforms like GitHub or create a personal website that details your work and techniques. This gives potential clients a clear picture of what you can do and helps you stand out from the competition.
✨Get Involved in Data Science Communities
Tap into online forums like Kaggle or Stack Overflow. Not only can you showcase your expertise, but you can also connect with other data scientists and potential clients. Plus, participating in competitions and discussions can elevate your profile in the field.
✨Leverage Local Networking Opportunities
Keep an eye out for local data science meetups or tech events in your area. These are golden opportunities to meet potential clients and collaborators face-to-face. Plus, who doesn't love a bit of networking over pizza and drinks?
✨Pitch Your Services Directly to Companies
Don't just wait for freelancing platforms to bring clients to you—be proactive! Research companies that could benefit from data science services and craft tailored pitches. Mention specific pain points you can address for them. Let’s get that freelance hustle going!
We think you need these skills to ace Data Business Analyst: Turn Data into Decisions in London
Some tips for your application 🫡
Showcase Your Projects:When applying for a freelance data science role like Data Business Analyst: Turn Data into Decisions at SThree, it’s crucial to highlight your projects. Include a portfolio that features at least two or three projects involving data analysis, machine learning, or visualisation. Make sure to describe the tools and methodologies you used, so we can see your skills in action!
Quantify Your Achievements:Freelance gigs, especially in data science, often ask for proven results. In your CV, include any relevant metrics or outcomes from your previous work. Did your analysis help reduce costs by a certain percentage? Or did your predictive model improve performance? Numbers speak volumes!
Introduce Your Style:Since freelancing is all about your individual style and approach, use your cover letter to share how you tackle data problems. This is your chance to let us know how you think, your creative problem-solving methods, and how you would approach a project at SThree.
Be Real About Your Rates:When you send in your application, don’t forget to mention your freelance rates and availability. We appreciate clarity up front, and it helps us gauge if you fit within our budget and timeline. Being transparent in this aspect shows professionalism and readiness!
How to prepare for a job interview at SThree
✨Show Off Your Data Wizardry
As a freelancer in data science, you'll want to present a portfolio that showcases your best projects. We should pull together examples where you tackled real problems with data analytics, machine learning models, or visualisations. It's all about demonstrating your skills in action!
✨Be Ready to Dive Deep into Technical Questions
Expect to encounter some technical grilling during the interview. Prepare to discuss statistical methods, algorithms, or maybe even tackle a live coding challenge. We should brush up on tools like Python, R, or SQL—those are key players in the data science field. Don't just know them; be ready to explain your thought process!
✨Help Them Understand Your Work Style
Freelance gigs often mean you'll be working independently, so we need to convey our self-motivation and time management skills. Be prepared to talk about how you’ve handled multiple projects or met tight deadlines before. Sharing your approach to client communication can also give them confidence in your ability to deliver remotely.
✨Pitch Your Value Proposition
When freelancing, it’s crucial to clearly articulate what makes you unique. We should highlight not just technical skills but also the business impact of our projects. Think of a couple of stories where your data insights drove decision-making—this can be a game changer in showing why they should choose you for their freelance needs!
