At a Glance
- Tasks: Lead a team of analysts to deliver impactful data analysis and dashboard development.
- Company: Join a leading financial services firm with a focus on innovation.
- Benefits: Competitive daily rate, hybrid work model, and opportunities for professional growth.
- Other info: Engage with senior stakeholders and work in a dynamic, fast-paced environment.
- Why this job: Make a difference by transforming complex data into actionable insights.
- Qualifications: 5+ years in data analytics, strong Power BI skills, and team leadership experience.
The predicted salary is between 37052 - 45286 £ per year.
- Data Lead - Financial Services
- Inside IR35: £600-£650 per day
- Hybrid - 2-3 dpw on-site in Stratford, London
- Mid-October start - 4 months initial
We are recruiting an experienced Data Lead to manage a team of three analysts supporting a major funds data programme within financial services.
The role will oversee data analysis, Power BI dashboard development and analytical reporting across large, multi-source datasets, ensuring complex information is translated into clear business insight and supports data-driven decision-making.
- Role responsibilities
- Lead and manage a team of three analysts delivering data analysis, dashboard development and reporting activities.
- Oversee the development and refinement of Power BI and Tableau dashboards, management information and analytical outputs.
- Analyse complex financial services datasets, including holdings, transactions, legal entities and regulatory reporting data.
- Guide the creation of integrated views of firms and entities using information from multiple data sources.
- Ensure analysis identifies relevant trends, concentrations, anomalies and potential risks.
- Improve data quality through validation, controls, data enrichment and ongoing assurance activities.
- Engage senior stakeholders to understand requirements, gather feedback and prioritise team activity.
- Key experience and requirements
- Strong Power BI experience, including overseeing the development and refinement of dashboards, management information and analytical reporting solutions.
- At least five years' experience in data analytics, business intelligence, reporting or a related data role.
- Previous experience working with complex datasets within financial services is essential.
- Proven experience leading a small data or analytics team and delivering solutions within complex environments.
- Strong SQL and data-analysis skills across large, multi-source datasets.
- Experience using Tableau alongside Power BI would be beneficial.
- Familiarity with AWS services such as S3, Athena and Dynamo DB.
- Strong senior stakeholder-management skills, with the ability to communicate complex analysis clearly.
Data Lead in London employer: SR2 Careers
Join a forward-thinking company that values innovation and collaboration, offering a dynamic work culture where your contributions directly impact large-scale IT and digital transformation projects. With a strong focus on employee growth, you will have access to continuous professional development opportunities while enjoying the flexibility of hybrid working in the vibrant city of London. This role not only provides competitive compensation but also places you at the forefront of cutting-edge technology initiatives, making it an exciting and rewarding place to advance your career.
StudySmarter Expert Advice🤫
We think this is how you could land Data Lead in London
✨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 SR2 Careers 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 SR2 Careers.
✨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 SR2 Careers.
We think you need these skills to ace Data Lead in London
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at SR2 Careers, 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 SR2 Careers, 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 SR2 Careers’s attention and show the tangible impact of your work.
How to prepare for a job interview at SR2 Careers
✨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 SR2 Careers.
✨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 SR2 Careers.
✨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 SR2 Careers.
