Senior Data Analyst

Tangible

London, England, United Kingdom

London, England, United Kingdom

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About

Tangible is a fast-growing tech-driven platform providing liquidity solutions to LPs and GPs in the private-markets secondaries space. By combining deep sector expertise with modern infrastructure we unlock liquidity across private equity private credit and real assets transforming the industry and enabling investors to move faster and smarter. We are looking for an experienced Senior Data Analyst to join our growing this pivotal role you will act as a bridge between our analyst team and tech team helping to integrate financial modeling capabilities onto our platform. You will also play a crucial part in launching a new project aimed at automating data extraction and analysis processes empowering investment teams to focus on high-value analytical tasks. This role is open globally to full-time contractors who can work standard Central European Time (CET) hours. Financial Modeling Integration
Collaborate with the tech team to integrate advanced financial modeling capabilities into our platform. Translate complex financial models into actionable technical requirements for developers. Ensure that financial models are accurately and effectively implemented within the platform. Project Leadership for New Tool Development
Lead the initiative to develop a tool that automates data extraction and analysis processes for investment teams. Work closely with product and tech teams to define project scope objectives and deliverables. Provide insights on client needs to guide the development of features that add value for investment teams. Cross-Team Collaboration
Act as a liaison between the analyst team and tech team to facilitate effective communication and project execution. Collaborate with analytics and management teams to understand data needs and deliver actionable insights. Reporting and Communication
Prepare comprehensive reports to document findings in a professional and concise manner. Apply critical thinking to interpret data and clearly communicate implications to stakeholders. Requirements
5 years of experience in data analysis computer science or a related field preferably within fintech. Bachelors or Masters degree in Finance Statistics Mathematics Data Science Computer Science or a related discipline. Proficiency in coding languages such as Python R or similar. Strong knowledge of statistical methods and data analysis techniques. Familiarity with financial modeling (a plus). Excellent critical thinking skills with the ability to draw actionable insights from data and communicate implications clearly. Strong written communication skills with the ability to document findings professionally and concisely. Proven collaboration skills with experience working effectively in cross-functional and remote / distributed teams with tight deadlines. Thrives in a fast-moving startup environment - flexible proactive and self-directed. Key Skills
Databases,Data Analytics,Microsoft Access,SQL,Power BI,R,Tableau,Data Management,Data Mining,SAS,Data Analysis Skills,Analytics Employment Type : Full Time Experience : years Vacancy : 1
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London, England, United Kingdom

Languages

English

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