Senior Data Analyst

Position Overview:

We are seeking a hands-on Senior Data Analyst to join our asset management team. This role requires a dynamic professional with at least 3 years of experience who can serve as the data subject matter expert (SME) within a cross-functional Scrum team. The ideal candidate will be responsible for driving complex data analysis projects, supporting data mapping, validation and analytics.

Key Responsibilities:

• Lead data analysis and reporting initiatives to deliver actionable insights for asset management operations.
• Drive sourcing of new datasets, functional design and mapping, data modeling and proactive identification and mitigation of data validation and quality issues.
• Demonstrate advanced competence in database systems, including SQL and Power BI.
• Apply strong mathematical, analytical, and problem-solving skills to address business challenges.
• Act as the primary data SME within a Scrum team, collaborating with stakeholders and facilitating discussions to reach decisions.
• Build and maintain strong relationships within the team and across departments.
• Deliver high-quality work products requiring minimal revision and ensure significant financial, client, and internal business impact.
• Provide mentorship and guidance to less experienced team members, fostering knowledge sharing and professional development.
• Participate in business stakeholder meetings and interact with Senior Management, presenting data-driven recommendations.

Technical Requirements:

• Proficiency in Asset Management data including AUM & Flows, Performance & Attribution, Fees, Benchmark and Securities, Account onboarding, ESG etc.
• Proficiency in relational database concepts, querying, and data warehouse management.
• Hands-on experience with analytics tools such as Microsoft Business Intelligence Suite, QlikView, or similar.
• Ability to manipulate and analyze large datasets, translating findings into clear, actionable insights.
• Experience in requirements gathering and using decision support tools.

Qualifications:

• Bachelors degree in a related field (e.g., Economics, Finance, Mathematics, Computer Science) or equivalent work experience.
• Minimum of 3 years hands-on experience in data analysis, preferably within asset management or financial services.
• Strong communication and project management skills.
• Demonstrated ability to work effectively in a Scrum/agile environment.