At a Glance
- Tasks: Create advanced Power BI dashboards and support data projects.
- Company: Leading private wealth business with a focus on data analytics.
- Benefits: Competitive salary, hybrid working, and potential for contract extension.
- Other info: Collaborative culture with opportunities to mentor and grow.
- Why this job: Join a dynamic team and make an impact in financial services.
- Qualifications: 3+ years in BI, strong Power BI and SQL skills required.
The predicted salary is between 31500 - 38500 £ per year.
Power BI Analyst
Location
London, Hybrid working
Salary
Start
ASAP
Contract
- 6 month Fixed‑term (with potential extension)
- A leading private wealth business is seeking an experienced
Power BI Analyst to join its Business Solutions & Data Analytics (BSDA) team on a 6‑month fixed‑term contract.
This role will support the ongoing development of the firm’s Data Warehouse framework and play a key part in expanding data insights across the organisation.
You’ll work closely with the Data Solutions Manager and senior stakeholders across Operations, Risk & Compliance, Projects, and Front Office teams.
The ideal candidate will bring strong hands‑on Power BI capability, solid SQL skills, and proven experience within private wealth or wider financial services.
Key Responsibilities
- Develop advanced Power BI dashboards and reports, including SQL‑based data models.
- Support and coordinate delivery across the Data Warehouse project, ensuring priorities align with business needs.
- Collaborate with stakeholders to understand reporting requirements and translate them into clear specifications.
- Mentor junior team members and act as a go‑to resource for Power BI and data‑related queries.
- Promote data‑driven decision‑making and work closely with BSDA, IT and Project teams.
- Contribute to building a positive, collaborative team culture.
- Required Skills & Experience
3+ years’ experience in BI and data warehousing within financial services (private wealth strongly preferred).
- Advanced
Power BI skills (DAX, Power Query, data modelling).
- Strong
SQL and data transformation capability.
- Experience with
CRM, portfolio management and risk monitoring systems .
- Familiarity with cloud‑based data platforms.
- Excellent communication skills and ability to explain technical concepts to non‑technical audiences.
- Beneficial Knowledge
- Pulse/Symphony
- XPLAN
- Bita Risk
- First Rate
- Power Apps
- Understanding of AI applications in financial services
Data Analyst employer: Equifind
Equifind is an exceptional employer that values innovation and collaboration, providing a dynamic work environment for Finance Managers. With competitive daily rates and a strong focus on employee development, team members are encouraged to grow their skills while contributing to impactful projects in the residential development sector. Located in a vibrant area, Equifind offers a supportive culture that fosters open communication and teamwork, making it an ideal place for professionals seeking meaningful and rewarding careers.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst
✨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 Equifind 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 Equifind.
✨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 Equifind.
We think you need these skills to ace Data Analyst
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Equifind, 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 Equifind, 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 Equifind’s attention and show the tangible impact of your work.
How to prepare for a job interview at Equifind
✨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 Equifind.
✨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 Equifind.
✨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 Equifind.
