At a Glance
- Tasks: Analyse complex datasets and create impactful dashboards using SQL and Power BI.
- Company: Join a leading consultancy driving data transformation for UK financial regulators.
- Benefits: Competitive salary, 10% bonus, and hybrid working model.
- Other info: Permanent role with excellent growth opportunities in a dynamic environment.
- Why this job: Make a real difference in financial services by transforming regulatory data into insights.
- Qualifications: Strong SQL skills and experience with AWS, Tableau or Power BI.
The predicted salary is between 31500 - 38500 £ per year.
We're supporting a major consultancy delivering a large-scale data transformation programme for one of the UK's leading financial regulators.
This is an opportunity to work on projects that directly influence how regulatory data is analysed and used to identify risk, improve decision making and strengthen supervision across the UK's financial services sector.
You'll be joining a growing team responsible for transforming complex regulatory data into meaningful insights through analytics, reporting and visualisation.
- Analyse large, complex datasets using SQL
- Develop dashboards and reporting using Tableau or Power BI
- Work with AWS services including S3, Athena and DynamoDB
- Assess and improve data quality across multiple data sources
- Identify trends, anomalies and emerging risks through data analysis
Strong SQL skills
Experience with AWS services
Tableau or Power BI experience
Experience working within Financial Services or a regulated environment
10% annual bonus
Hybrid working (3 days per week onsite in London)
Permanent opportunity
Long-term programme supporting one of the UK's most significant regulatory data initiatives
Senior Data Analyst (SQL, Power BI) in London employer: RecOps
As a Senior Data Analyst at our consultancy, you'll be part of a dynamic team dedicated to transforming the financial services sector through innovative data solutions. We offer a hybrid work environment in London, competitive salaries, and a 10% bonus, alongside opportunities for professional growth and development in a supportive culture that values collaboration and excellence. Join us to make a meaningful impact on regulatory data analysis while enjoying the benefits of working with cutting-edge technologies and a diverse team.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Analyst (SQL, Power BI) in London
✨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 RecOps!
✨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 Senior Data Analyst (SQL, Power BI) at RecOps.
✨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 RecOps.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Data Analyst (SQL, Power BI) at RecOps, 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 Senior Data Analyst (SQL, Power BI) in London
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 RecOps, 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 RecOps. 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 RecOps
✨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 RecOps!
✨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.
