Our client is a leading alternative asset manager with a global presence and a focus on innovation. They are dedicated to harnessing the power of data to inform investment decisions and optimize performance. Joining their team means becoming part of an organization that values collaboration, innovation, and data-driven strategies.
Job Description:
Our client is seeking a Data Analyst to work closely with their investment teams, leveraging data to inform decision-making and provide insights into business performance. The successful candidate will be proficient in working with large datasets, primarily using Palantir Foundry, and have a keen eye for detail and data accuracy.
Key Responsibilities:
- Analyze and interpret complex datasets to provide actionable insights for investment decisions.
- Utilize Palantir Foundry to extract, clean, and manipulate data from multiple sources.
- Create and maintain reports, dashboards, and data visualizations to support business and investment teams.
- Collaborate with stakeholders to understand their data needs and provide tailored analytical solutions.
- Support data governance and ensure data quality, consistency, and integrity.
- Conduct ad-hoc data analyses to answer specific business questions or solve problems.
- Present findings and recommendations to key stakeholders in a clear and concise manner.
Qualifications:
- Bachelor’s degree in Data Science, Statistics, Finance, or a related field.
- 2+ years of experience as a Data Analyst, preferably in finance or investment management.
- Proficiency in Palantir Foundry is required.
- Strong analytical skills and experience working with large datasets.
- Advanced knowledge of SQL and data visualization tools (e.g., Tableau, Power BI).
- Experience with Python or R is a plus.
- Excellent communication skills, both written and verbal, with the ability to present data-driven insights to non-technical audiences.
- High attention to detail and commitment to data accuracy.
Benefits:
- Be part of an innovative team that is shaping the future of investment management through data.
- Opportunities for career growth and skill development.
- Competitive salary and comprehensive benefits.
- Collaborative work environment that encourages professional development.