At a Glance
- Tasks: Dive deep into data using SQL to uncover insights and shape data solutions.
- Company: Join Specsavers, a leader in data-driven transformation.
- Benefits: Enjoy competitive pay, flexible working, and opportunities for growth.
- Other info: Collaborate with a dynamic team on exciting data initiatives.
- Why this job: Make a real impact by bridging business needs and complex data.
- Qualifications: Strong SQL skills and experience in data analysis required.
The predicted salary is between 37800 - 46200 £ per year.
Are you a Data Business Analyst who loves getting hands on with data, using SQL to understand what's really happening beneath the surface?
At Specsavers, we're looking for a Data Business Analyst with strong SQL and data analysis skills to join our Data team.
This is an exciting opportunity to work on complex data initiatives where you'll combine traditional Business Analysis with hands on technical analysis to help shape how data is sourced, understood, transformed, and delivered across the organisation.
This isn't a role where you'll simply gather requirements and hand them over to a technical team.
You'll get directly into the source data, using SQL to query and profile datasets, understand tables, keys, joins and relationships, identify data quality issues, and trace how data moves from source systems through ingestion and transformation into downstream data products, reporting and analytics.
You'll need to be genuinely comfortable interrogating complex datasets and using your findings to influence the solution.
Working closely with Data Product Managers, Data Modellers, Data Architects and Data Engineers, you'll translate that analysis into clear data requirements and development-ready user stories.
You'll help define how source data should be mapped and transformed into our enterprise data models, while making sure requirements are technically sound, scalable and understood by everyone involved.
You'll thrive here if you bring strong, hands on SQL skills alongside solid Data Business Analysis experience.
You'll be confident analysing source systems and database schemas, reading and interpreting conceptual, logical and physical data models, and understanding SQL and Python code well enough to follow how data is being transformed through pipelines.
You'll also bring knowledge across areas such as Data Management, Data Migration, Data Quality, Data Governance and Data Architecture.
We're looking for someone who can bridge the gap between business requirements and complex data.
You'll need experience working on data-centric initiatives or large-scale transformation programmes, ideally involving areas such as data migration, MDM, reporting and analytics or enterprise data modelling, alongside experience working within Agile delivery teams.
If you're a Data BA who enjoys rolling up your sleeves, writing SQL, interrogating source data and turning what you discover into clear requirements and scalable data solutions, we'd love to hear from you.
Join Specsavers and help us build the data foundations behind some of our most important transformation initiatives.
#J-18808-Ljbffr
Data Business Analyst employer: Specsavers
Specsavers is an exceptional employer that fosters a dynamic and inclusive work culture, where creativity and collaboration thrive. With a strong focus on employee growth, the company offers numerous opportunities for professional development and skill enhancement, particularly in the vibrant field of brand marketing. Located in the UK and ROI, Specsavers provides a supportive environment that values innovation and community engagement, making it an ideal place for those seeking meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land Data Business Analyst
✨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 Specsavers!
✨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 Data Business Analyst at Specsavers.
✨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 Specsavers.
✨Apply Directly through Our Website
When you find a suitable opening like Data Business Analyst at Specsavers, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Data Business Analyst
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 Specsavers, 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 Specsavers. 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 Specsavers
✨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 Specsavers!
✨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.
