Lead Data Analyst - Fund Sales

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.