At a Glance
- Tasks: Create impactful reports and dashboards using Power BI and SQL.
- Company: Join a dynamic fintech company with a collaborative vibe.
- Benefits: Competitive salary, remote work, and great benefits.
- Other info: Fast-paced AGILE environment with opportunities for growth.
- Why this job: Be part of an innovative team shaping the future of financial software.
- Qualifications: Experience with Power BI, SQL Server, and a passion for data.
The predicted salary is between 40500 - 49500 £ per year.
Quant Capital is urgently looking for a Junior BI Developer to join our high profile client. My Client is a well known global financial software (fintech) business that has developed a unique proprietary front office lending solution. This is a new role reporting to the CTO expanding the complete BI suite.
We are looking for someone who can rely on their business insight and technical prowess to build tools which will automate reporting and display data in a user friendly and meaningful way. The BI Developer will work closely with the Lead Developer and Product Owner to define and redefine the business requirements. You will be a part of an AGILE development team in a fast paced role where the expectations will be high.
Day to day the Junior BI Developer will be:
- Perform business analysis in order to build business reports and dashboards
- Implement (from scratch) Power BI reporting which will be accessible by the company
- Perform robust quality assurance on reports to ensure accuracy and that they are also in line with stakeholders expectations
- Monitor, manage and improve the robustness of the daily data warehouse data load
- Write technical and user documentation to allow BI team to develop and support the data warehouse
- Manage code, version and release control
BI Developers must have:
- Tableau or Power BI
- SQL Server 2016 or above
My client is based in Putney with remote working mostly.
BI Developer - SQL & Power BI - Fully Remote in London employer: Quant Capital
At Quant Capital, we pride ourselves on being an exceptional employer, offering a dynamic and innovative work environment that mirrors the culture of leading tech giants like Facebook and Google. Our London office fosters a collaborative atmosphere where employees are encouraged to think critically and make impactful decisions, while also providing ample opportunities for professional growth and mastery of cutting-edge technology in the trading operations space. With a focus on employee well-being and a commitment to excellence, we ensure that our team members are equipped with the tools and support they need to thrive in their roles.
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We think this is how you could land BI Developer - SQL & Power BI - Fully Remote in London
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We think you need these skills to ace BI Developer - SQL & Power BI - Fully Remote 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!
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Craft a Tailored Cover Letter:For a full-time role at Quant Capital, 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 Quant Capital. 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 Quant Capital
✨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!
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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
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✨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.
