Lead Data Analyst – Fund Sales

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

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.