At a Glance
- Tasks: Join a team transforming data management and analyse complex datasets using SQL.
- Company: A leading retail brand investing in innovative data capabilities.
- Benefits: Competitive salary, bonus, remote work, and opportunities for professional growth.
- Other info: Dynamic role with excellent career advancement potential in a collaborative environment.
- Why this job: Make a real impact on high-stakes data transformation projects with industry experts.
- Qualifications: Experience as a Data Business Analyst and advanced SQL skills required.
The predicted salary is between 74000 - 74000 £ per year.
- Data Business Analyst – SQL/Enterprise Data Transformation/Data Warehouse
- Remote - UK
- £56,000 + Bonus + Allowance
I'm working with a household name retail business undergoing a large-scale data transformation programme, and they're looking for an experienced Data Business Analyst to join their growing data function.
What you'll be doing
- Providing the Data BA part of delivering a new customer management system and using SQL to test data ingestion into Data Lakes and Warehouses.
- Partnering with Product Managers to shape and prioritise data backlogs.
- Running workshops and engaging stakeholders to capture business and data requirements.
- Analysing source systems, data models and end-to-end data flows.
- Writing high-quality user stories and acceptance criteria for engineering teams.
- Working closely with Data Engineers, Architects and QA throughout delivery.
- Supporting UAT and ensuring solutions meet business needs.
- Contributing to major enterprise data transformation initiatives.
What they're looking for
- Strong experience as a Data Business Analyst on data-focused programmes.
- Advanced SQL scripting skills with the ability to interrogate and understand complex datasets.
- Knowledge of Data Warehouse projects and complex data analysis.
- Experience analysing data models, source systems and data flows.
- Agile experience including backlog management and user story creation.
- Knowledge of data migration, governance, data quality or enterprise data platforms is highly desirable.
This is an opportunity to join a business investing heavily in its data capabilities, where you'll work on high-impact transformation projects alongside experienced data professionals.
If this sounds like it could be the right next step for you, apply within or reach out to Jake Carrington for a confidential chat.
Data Business Analyst in Oxford employer: Eden Smith Group
Join a leading organisation renowned for its commitment to data innovation and transformation, where you will be part of a dynamic team dedicated to enhancing customer management systems. With a strong focus on employee development, you will have access to extensive training opportunities and the chance to work alongside industry experts in a collaborative and supportive remote environment. This role not only offers competitive compensation but also the unique advantage of contributing to significant enterprise-level projects that shape the future of data management.
StudySmarter Expert Advice🤫
We think this is how you could land Data Business Analyst in Oxford
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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 Eden Smith Group.
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We think you need these skills to ace Data Business Analyst in Oxford
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 Eden Smith Group, 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 Eden Smith Group. 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 Eden Smith Group
✨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 Eden Smith Group!
✨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.