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As an Investment Data Analyst, you will partner with clients to integrate and analyze multi-asset class portfolios, performance data, and market data from a wide range of sources. You’ll consult on investment workflows, ensuring accuracy and consistency, while collaborating closely with other Data Solutions Consultants and internal teams to deliver seamless client outcomes. This role is ideal for someone who thrives at the intersection of finance and data, is solutions-oriented, and enjoys working directly with clients.
Job Responsibility:
Translate unique client requirements into flexible and scalable investment data solutions
Lead data conversion projects to integrate historical portfolio data from legacy systems into Addepar
Work directly with complex investment datasets, including multi-asset class portfolios, performance data, and market data from various sources
Consult with clients on investment data workflows, ensuring accuracy, consistency, and scalability
Collaborate closely with other Data Solutions Consultants on technical implementations to ensure smooth onboarding and delivery
Identify and drive opportunities to improve processes, tools, and data quality standards
Communicate proactively and professionally with clients and internal stakeholders
Requirements:
Minimum 2+ years of experience working in technology, finance, or consulting
Deep understanding of a wide range of financial instruments, including equities, fixed income, derivatives, and alternative investments
Hands-on experience working with complex investment datasets, including multi-asset class portfolios, performance data, and market data from various sources
Solution-oriented mentality and passion for problem-solving
Excellent communication, organizational, and time-management skills
Strong work ethic, proactive, and a high-contributing teammate
Highly organized with close attention to detail, driven to make processes more efficient
Independent, adaptable, and able to thrive in a fast-paced environment
Strong proficiency with Excel (pivot tables, lookups, nested formulas, data cleaning/validation)
ability to structure and manipulate complex datasets
Nice to have:
Experience with Python programming language is a bonus but not a requirement
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