• Our ideal candidate is a strong cross-functional communicator with a proven ability to solve open-ended problems in an elegant, scalable manner
• 2+ years of experience in data analysis or similar roles, preferably in the Technology or Financial Services industry
• Strong data modeling and reporting skills in a fast-paced environment
• Proficiency in SQL and data visualization tools to tell compelling data-driven stories
• Ability to understand complex ideas, break them down into actionable plans, and deliver solutions
• Excellent communication skills and the ability to build strong relationships with various teams across the organization

Desirable

• As the newest member of the team, you will partner with colleagues across the firm and be the creative thought leader ensuring that data-driven decisions are being made
• You will lead initiatives by partnering with teams across the firm like Operations, Marketing, Product, Finance, Sales and Engineering to provide them with the data modeling, reporting, and analytics support they need to make impactful decisions
• This is a great opportunity for the right person to enhance their skill set across Data Analytics, Data Engineering and Data Science - curiosity, creativity, and tenacious problem solving are a must!
• Enable data-driven decision-making by becoming an expert in Alternative Investments and CAIS data, leveraging this expertise to support stakeholder groups
• Develop and maintain business intelligence dashboards and reports to effectively communicate trends, patterns, and predictions using relevant data
• Partner with business stakeholders to gather requirements, execute analytics requests, and provide domain expert support
• Work with the Product and Engineering teams to roll out new products/services to our platform, support data migration activities, and monitor their success through reporting or events tracking
• Collaborate with cross-functional teams on data governance and cataloging efforts by mapping out data assets in need of proper ownership and definitions, developing data governance policies, and promoting its adoption firm-wide
• Contribute to building our Data practice by creating training materials, customer-facing assets, and internal resources