Portfolio Data Analyst

6 days ago

dombivli, India beBeeData Full time

We are seeking dynamic data analysts to collaborate closely with our founders, financial analysts, product managers, and engineers in a fast-paced environment.Responsibilities:Analyze and onboard portfolio data from various sources into a data integration ecosystem.Collaborate with engineering, product management, and data operations teams to deliver high-quality, timely, and reliable data solutions through a platform.Work with third-party data providers to integrate their data into the system.Develop and support data aggregation solutions based on client and third-party content, tailored to user workflow needs.Collaborate with user experience, design, and project management teams to develop data-oriented workflow solutions and product enhancements.Analyze and implement solutions to improve data operations and pipeline efficiency.Understand products and clients, working closely with internal stakeholders to identify new opportunities to serve clients and grow the business.Contribute to the evolution of financial data solutions, ensuring the platform remains a leading integrator of market-traded and alternative asset data.Requirements: Graduate degree or equivalent required (GPA of 8.0+).Data analysis experience with exposure to finance and investment management.Strong communication and interpersonal skills for collaborating with vendors, clients, and internal teams.Ability to communicate complex ideas, problems, and solutions clearly both verbally and in writing for development, sales, clients, and third-party data providers.Ability to work with engineering teams to define functional and technical solutions to business problems, including a solid understanding of data development, data modeling, and technical documentation.A passion for the finance and technology space, with a focus on solving complex problems in the investment management industry.Experience working with financial data and concepts relevant to Arcana’s clients and products is highly preferred.

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