Data Analyst
London, England, United Kingdom
TradingHub
We provide trade surveillance, anti-money laundering and best-ex compliance solutions for financial institutions.The Role
The primary objective of this role is to build analytics and provide insights within the Client Intelligence team on subjects including client/prospect profiling, sales lifecycles, client journey mapping, industry research and competitor analysis. These projects aim to help us understand and scale our market impact, client/product strategy and sales efforts. This brand-new role will set you up within a vastly impactful new department (Client Intelligence) and present a variety of career progression opportunities in a growing firm. We are seeking an experienced individual who can create and implement new analytics, workflows and dashboards to feed into data driven strategies. The successful candidate will have the opportunity to autonomously manage their own projects and build processes with the support of the Client Intelligence team and other key stakeholders in the business through data analytics.
Responsibilities:
- Provide insights and intelligence for use across the company to inform direction on business decisions
- Create strategies and proposals from the insights generated through data analysis
- Build statistical tools to employ techniques that analyse TH client/prospect behaviour, trends and requirements
- Ensure accuracy and optimisation of our internal tooling and client intelligence software (including CRM and DB), particularly with regards to the accuracy of the sales pipeline and customer/prospect information.
- Collate, clean and visualise data from several internal tools, and external sources, to produce/present reports for key stakeholders (internal and external)
- Build, manage and update new workflows and dashboards to provide insights on clients, prospects, and wider market data
Requirements
Essential Skills/Competencies
- 3-5 years’ experience in a similar role
- Proficient in either Python, C#, SQL or any object-oriented language
- Experience with building and improving statistical models and techniques
- Experience using a relational database
- Outstanding presentation, communication and interpersonal skills
- Proactive and keen to voice suggestions for team/company strategies
- Excellent attention to detail
- BSc degree in STEM, data science, or another related field
- Knowledge of financial markets would be beneficial
Benefits
Why should you apply?
- Ambition: Extremely fast-growing company with an uncapped potential, offering every colleague a broad range of experience and plenty of opportunities for internal movement, as well as rapid career progression. Vibrant company culture full of uniquely talented and friendly colleagues with regular social perks to build camaraderie.
- Flexibility: 25 days holiday + bank holidays, informal dress code, generous maternity/parental leave policies. We also offer a flexible working policy (up to 2 days a week remote during probation and then 3 days a week remote thereafter).
- Reward: Highly competitive compensation plus annual discretionary bonus and discretionary EMI scheme (company share option scheme).
- Support: Annual personal training budget, private healthcare, company pension plan, death in service coverage, cycle to work scheme & tech scheme.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Data analysis Data Analytics Python Research SQL Statistics STEM
Perks/benefits: Career development Competitive pay Flex hours Parental leave Salary bonus
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