Title: Data Analyst Location: Bath, Bristol, London Salary: £25,000 - £35,000 About The Company An innovative start-up bridging the gap between FinTechs, lenders, and investors.
Their mission is to connect FinTechs with investors by integrating with their data, analysing potential customer pipelines, and providing investors with reliable insights into future opportunities.
By offering FinTechs access to better funding and investors access to high-quality, standardized data, we're revolutionising how capital flows in techs and lenders with investors.
By integrating with FinTechs, they analyse data to understand potential customers, assess available information, and provide investors with reliable insights into potential pipelines.
This innovative approach gives FinTechs better access to funding opportunities while enabling investors to make decisions based on high-quality, standardised data.
The team is small but highly experienced, with a strong background in finance.
The Role The Data Analyst will play a crucial role in integrating data from FinTechs, standardising it, and presenting actionable insights to investors.
This is a hands-on position where the successful candidate will work closely with large datasets, ensuring data integrity, cleaning, mapping, and creating features that form the foundation of the company's visualisation tools.
These tools are critical for investors making portfolio decisions and for FinTechs monitoring their performance.
Key Responsibilities Integrating and ingesting credit portfolio data from FinTechs.
Conducting checks on data integrity and mapping to ensure high standards.
Cleaning and standardising data to create meaningful and consistent features.
Building data pipelines and visualisation tools to support client decision-making.
Augmenting data reporting and generating insights to drive business value.
Requirements At least one year of industry experience, ideally in financial services, insurance, or banking (though other industries will be considered).
A passion for working with data, including large datasets, and deriving insights.
Strong SQL skills are essential.
Experience with data visualisation tools such as Domo, Tableau, or similar platforms.
A background in database management or data warehousing is beneficial but not required.
Familiarity with credit data, customer behaviour, and decision models is advantageous.
What We're Looking For The ideal candidate will have a keen interest in data and enjoy delving into large datasets to clean, wrangle, and transform them into coherent and visually impactful outputs.
They should be motivated by problem-solving and capable of turning complex datasets into actionable insights.
What The Company Offers The opportunity to join a fast-growing start-up and make a real impact.
A supportive and collaborative team environment.
The flexibility of remote working.
Career growth opportunities as the company scales.
Interview Process The process will include three stages:
An initial 30-minute interview with the hiring manager.
A practical data task to assess technical skills.
A presentation of the task, showcasing your approach and insights.
How to Apply If this sounds like the perfect role for you, please apply with your CV or email