Lead Data Analyst - Fund Sales

Ramsey Portia
London
8 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Scientist

Senior Data Scientist

Head of Data Science and Analytics

Data Engineer

Data Science Manager – Gen/AI & ML Projects - Bristol

Head of Analytics & Data Science Decision Sciences & Machine Learning · · (Hiring Immediately)

Our client is seeking to recruit a Lead Data Analyst to strengthen their Distribution department.


Hit Apply below to send your application for consideration Ensure that your CV is up to date, and that you have read the job specs first.

Duties & Responsibilities:

  • Reporting to Head of RFP you will collaborate with the RFP team to understand the context and quantitative requirements of the RFP / DDQ in question, taking ownership of answering all quantitative questions within it, using data from various systems and tools.
  • Design and contribute to building a comprehensive and scalable data infrastructure that enables quick access to the required quantitative information for RFPs and DDQs.
  • Work closely with the Tech team to develop and implement technical solutions to automate data retrieval, transformation, and reporting processes.
  • Identify and address data quality issues, ensuring accuracy, consistency, and reliability of the quantitative information.
  • Continuously monitor and evaluate data sources, systems, and technologies, proposing innovative solutions to enhance the efficiency and effectiveness of the RFP data analysis process.
  • Collaborate with stakeholders across the firm to establish data classification standards that align with clients' expectations and requirements.
  • Provide expertise and guidance to the RFP team members on accessing and utilizing the data infrastructure effectively, enabling them to focus on answering qualitative questions.
  • Stay up-to-date with industry trends, best practices, and emerging technologies related to data analysis, and proactively share knowledge and insights with the team.

The role requires:

  • Master’s degree in a relevant field such as Data Science, Business Analytics, Computer Science, or a related discipline.
  • Proven experience (at least 3 years) as a Data Analyst or similar role, with a focus on data analysis, data management, and maintenance and/or implementing data infrastructure.
  • Strong technical skills, including proficiency in Python, SQL, and experience with Snowflake or similar data warehousing platforms. Experience in visualisation / dashboarding tools such as Tableau is also preferred.
  • Excellent analytical and quantitative skills coupled with a solid understanding of data governance, data quality, and data classification principles.
  • Entrepreneurial mindset with a proactive approach to problem-solving and the ability to think creatively to develop technical solutions that improve efficiency and meet business needs.
  • Experience in working with cross-functional teams and stakeholders, demonstrating strong collaboration and networking skills.
  • Strong business acumen and solution-oriented mindset, with the ability to understand business requirements and translate them into technical solutions.
  • Excellent communication skills with the ability to effectively communicate complex technical concepts to non-technical stakeholders.

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Jobs

AI Jobs at Newly Funded UK Start-ups: Q3 2025 Investment Tracker

Over the last decade, the United Kingdom has firmly established itself as one of Europe’s most significant technology hubs. Thanks to a vibrant ecosystem of venture capital, government-backed initiatives, and a wealth of academic talent, the UK has become especially fertile ground for artificial intelligence (AI) innovation. This growth is not just evident in established tech giants—new start-ups are emerging every quarter with fresh ideas, ground-breaking technologies, and a drive to solve real-world problems. In this Q3 2025 Investment Tracker, we take a comprehensive look at the latest AI start-ups in the UK that have successfully secured funding. Beyond celebrating these companies’ milestones, we’ll explore how these recent investments translate into exciting new job opportunities for AI professionals. Whether you’re an experienced machine learning engineer, a data scientist, or simply hoping to break into the AI sector, this roundup will give you insights into the most in-demand roles, the skills you need to stand out, and how you can capitalise on the current AI hiring boom.

Jobs

Portfolio Projects That Get You Hired for AI Jobs (With Real GitHub Examples)

In the fast-evolving world of artificial intelligence (AI), an impressive portfolio of projects can act as your passport to landing a sought-after role. Even if you’ve aced interviews in the past, employers in AI and machine learning (ML) are increasingly asking candidates to demonstrate hands-on experience through the projects they’ve built and shared online. This is because practical ability often speaks volumes about your suitability for a role—far more than any exam or certification alone could. In this article, we’ll explore how to build an outstanding AI portfolio that catches the eye of recruiters and hiring managers, including: Why an AI portfolio is crucial for job seekers. How to choose AI projects that align with your target roles. Specific project ideas and real GitHub examples to help you stand out. Best practices for showcasing your work, from writing clear READMEs to using Jupyter notebooks effectively. Tips on structuring your GitHub so that employers can instantly see your value. Moreover, we’ll discuss how you can use your portfolio to connect with top employers in AI, with a handy link to our CV-upload page on Artificial Intelligence Jobs for when you’re ready to apply. By the end, you’ll have a clear roadmap to building a portfolio that will help secure interviews—and the AI job—of your dreams.

Jobs Careers

AI Job Interview Warm‑Up: 30 Real Coding & System‑Design Questions

In today's competitive AI job market, nailing a technical interview can be the difference between landing your dream role and getting lost in the crowd. Whether you're looking to break into machine learning, deep learning, NLP (Natural Language Processing), or data science, your problem-solving skills and system design expertise are certain to be put to the test. AI‑related job interviews typically involve a range of coding challenges, algorithmic puzzles, and system design questions. You’ll often be asked to delve into the principles of machine learning pipelines, discuss how to optimise large-scale systems, and demonstrate your coding proficiency in languages like Python, C++, or Java. Adequate preparation not only boosts your confidence but also reduces the likelihood of fumbling through unfamiliar territory. If you’re actively seeking positions at major tech companies or innovative AI start-ups, then check out www.artificialintelligencejobs.co.uk for some of the latest vacancies in the UK. Meanwhile, this blog post will guide you through 30 real coding & system-design questions you’re likely to encounter during your AI job interview. This list is designed to help you practise, anticipate typical question patterns, and stay ahead of the competition. By reading through each question and thinking about the possible approaches, you’ll sharpen your problem-solving skills, time management, and critical thinking. Each question covers fundamental concepts that employers regularly test, ensuring you’re well-equipped for success. Let’s dive right in.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.