At a Glance
- Tasks: Gather and document data requirements, analyse datasets, and support data validation.
- Company: Leading investment management organisation with a high-performing data function.
- Benefits: Competitive pay, hybrid work model, and opportunities for professional growth.
- Other info: Collaborate with engineers and stakeholders in a fast-paced, enterprise-scale environment.
- Why this job: Join a dynamic team to shape data products that drive critical business decisions.
- Qualifications: Experience as a Data Business Analyst, strong SQL skills, and stakeholder management abilities.
Senior Data Business Analyst
Edinburgh (Hybrid)
6 Month Initial - Inside IR35
£475 - £550
Are you an experienced Data Business Analyst who enjoys getting under the skin of complex data?
We're working with a leading investment management organisation looking for a Data Solutions Analyst to join a high-performing data function. This role sits between the business and engineering teams, translating complex business requirements into clear, structured data specifications that enable the delivery of trusted reporting and analytics solutions.
This is an opportunity to work on enterprise-scale data initiatives, collaborating with business stakeholders, Data Engineers and governance teams to shape high-quality data products that support critical business decisions.
What you'll be doing
- Gather and document data-focused business requirements.
- Analyse source data, business processes and existing datasets.
- Define business rules, transformation logic and data definitions.
- Work with Data Engineers to translate requirements into technical delivery.
- Support data validation, testing and defect resolution.
- Ensure data products are accurate, trusted and fit for purpose.
- Collaborate with stakeholders across the business to improve reporting and analytics capabilities.
- Promote best practice in documentation, governance and continuous improvement.
What we're looking for
- Proven experience as a Data Business Analyst or Data Solutions Analyst.
- Strong requirements gathering and documentation skills.
- Excellent SQL and data interrogation experience.
- Experience working with structured databases such as Oracle, Snowflake or similar.
- Ability to document business rules and data transformation logic.
- Strong stakeholder management skills across both business and technical teams.
- Experience supporting reporting, analytics or data platform initiatives.
Desirable experience includes:
- Power BI or similar reporting platforms.
- Data modelling concepts.
- Data governance, metadata and data lineage.
- Experience working within enterprise data environments.
If you are keen then APPLY NOW.
Senior Data Analyst in Dunfermline employer: Bright Purple
Bright Purple is an excellent employer that fosters a collaborative and innovative work culture in High Wycombe, where employees are encouraged to grow their skills in cutting-edge Microsoft technologies. With a focus on professional development and a commitment to work-life balance, we offer unique opportunities for career advancement while shaping the future of workplace technology. Join us to be part of a dynamic team that values your contributions and supports your journey in the tech industry.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Analyst in Dunfermline
✨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 Bright Purple 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 Bright Purple.
✨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 Bright Purple.
We think you need these skills to ace Senior Data Analyst in Dunfermline
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Bright Purple, 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 Bright Purple, 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 Bright Purple’s attention and show the tangible impact of your work.
How to prepare for a job interview at Bright Purple
✨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 Bright Purple.
✨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 Bright Purple.
✨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 Bright Purple.
