Jobs

Lead Data Analyst – Fund Sales


Job details
  • Ramsey Portia
  • London
  • 4 months ago
Applications closed

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



Is this your next job Read the full description below to find out, and do not hesitate to make an application.

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.

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