At a Glance
- Tasks: Bridge the gap between business needs and technical data teams while developing actionable data requirements.
- Company: Dynamic team in the London insurance industry with a focus on collaboration.
- Benefits: 25 days' annual leave, interest-free travel loan, critical illness cover, and extended parental leave.
- Other info: Hybrid role with opportunities for professional growth and learning.
- Why this job: Gain hands-on experience with data and make a real impact in a supportive environment.
- Qualifications: 5+ years in a similar role, strong SQL skills, and excellent stakeholder engagement.
The predicted salary is between 56700 - 69300 £ per year.
I'm looking for a Data Business Analyst who can effectively bridge the gap between business stakeholders and technical data teams.
The role will involve working closely with the business to understand priorities, develop use cases and translate business needs into clear technical requirements.
You’ll take ownership across the process, from stakeholder engagement and requirements gathering through to data modelling and support the semantic development.
You’ll be working with Delegated Authority and bordereaux data, helping improve how data is accessed, structured and utilised.
There will also be an opportunity to support a self-service sandbox environment, enabling business users to independently explore and test data solutions with less reliance on IT.
This is an incredible opportunity to learn from a dynamic team.
Key Responsibilities
- Build strong relationships with business stakeholders, understanding their needs and translating them into actionable data requirements.
- Act as the key link between business and technical teams, ensuring clear communication and alignment throughout delivery.
- Develop use cases, source-to-target mappings, data definitions and business rules.
- Get hands-on with data, writing SQL scripts and supporting data modelling and semantic development.
- Work closely with data engineers to ensure solutions meet business requirements.
- Support UAT, data validation and the development of self-service data capabilities.
- Key Skills & Experience
- 5+ years' experience in a Data Business Analyst or similar role, within the London insurance industry.
- Strong stakeholder engagement skills, with the ability to communicate effectively across business and technical teams.
- Strong SQL skills and understanding of data warehousing and data modelling.
- Exposure to Databricks and Py Spark.
- Experience with Delegated Authority and bordereaux data.
- Familiarity with Azure and Agile delivery environments.
- A hands-on, solutions-focused approach, with the ability to challenge, influence and drive outcomes.
Hybrid role
2 days in the London office
Benefits include
- 25 days' annual leave (with the option to buy/sell days)
- Interest-free travel season ticket loan
- Critical illness cover
- Extended parental leave
- #J-18808-Ljbffr
Business Data Analyst in London employer: SGI
Join a dynamic global trading firm in London, where innovation meets collaboration. As a Senior Full Stack Engineer, you'll thrive in a culture that values technical excellence and business insight, with opportunities for professional growth and direct impact on trading operations. Enjoy a fast-paced environment that encourages problem-solving and offers the chance to work closely with traders and stakeholders, making your contributions vital to the firm's success.
StudySmarter Expert Advice🤫
We think this is how you could land Business Data Analyst in London
✨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 SGI!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Business Data Analyst at SGI.
✨Leverage Professional Networks
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 SGI.
✨Apply Directly through Our Website
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We think you need these skills to ace Business Data Analyst in London
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 SGI, 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 SGI. 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 SGI
✨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 SGI!
✨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.
