Core Data Product Analyst

Job Summary:

The Core Data Product Analyst will be responsible for analyzing and interpreting complex data sets to help drive strategic decision-making and product development related to our investment data management platform. Reporting to a senior product leader, this role will collaborate closely with internal stakeholders and clients to ensure that data management solutions meet user needs and business objectives. The Analyst will also contribute to identifying trends and insights that can inform our product roadmap and improve user experience.

Responsibilities:

• Collaborate with product managers to define data requirements and support the development of analytical models.
• Conduct data analysis to identify trends, issues, and opportunities that can enhance product performance.
• Generate reports and dashboards that provide actionable insights to stakeholders.
• Advocate for a culture of data-driven decision-making within the organization.
• Work with engineering teams to ensure data integrity and accuracy in product development.
• Support the prioritization of product features based on data analysis and user feedback.

Required Skills:

• Prior experience in Investment management industry with strong knowledge of Security Reference, Trade, Analytics, Pricing, Accounting (ABOR/IBOR), Performance, Risk, Custody data domains is a must have.
• Knowledge of capital markets and expertise in equity, fixed income, and derivatives is key.
• 3-6 years of experience in data analysis or a related field, preferably within the investment management industry.
• Strong understanding of data management principles, including data governance and data quality processes.
• Proficient with SQL, Excel, and data visualization tools (e.g., Tableau, Power BI).
• Familiarity with capital markets and financial data domains.
• Excellent analytical problem-solving skills and attention to detail.
• Strong communication skills, with the ability to convey complex information clearly to diverse audiences.
• Ability to work effectively in a fast-paced environment and handle multiple projects simultaneously.
• Experience with cloud platforms (AWS/Azure/GCP) and relational or NoSQL databases is a plus.
• Knowledge of Snowflake is appreciated.

Education Background:

• Bachelor's degree in Data Science, Computer Science, Statistics, or a related field. Master's degree is a plus.

Nice to have:

• Experience working in alternative asset management or related financial services.
• Knowledge of machine learning techniques and their application in data analytics.
• Exposure to working with portfolio managers, traders, and researchers is valuable.