5 дней назад
Data Analyst, Associate (Private Equity Technology)
135 000 - 170 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Analyst, Associate (Private Equity Technology) (Python/SQL): Developing analytical tools and software solutions for private equity deal diligence, portfolio monitoring, and alternative asset management workflows with an accent on data modeling, governance, automation, and AI analytics. Focus on leading complex initiatives, managing data lifecycles, and building scalable, secure solutions with cross-functional technology and business teams.
Location: New York, United States
Expected annual base salary: $135,000–$170,000
Company
is an alternative asset manager focused on private equity, real estate, credit, infrastructure, life sciences, growth equity, secondaries, and hedge funds.
What you will do
- Lead intake and refinement of technology and data requests for deal tracking, portfolio monitoring, and related workflows.
- Conduct business analysis and stakeholder sessions to improve modeling, asset management, portfolio management, and operational workflows.
- Coordinate with product owners, application developers, UX designers, platform teams, and engineering teams.
- Develop and maintain analytical software solutions using Python and SQL with a focus on quality, scalability, reliability, and security.
- Manage the end-to-end lifecycle of data used in AI and analytics workflows, including access controls, licensing, and compliance requirements.
- Promote data analytics, data science, and AI through talks and training for technology and business teams.
Requirements
- At least 3 years of experience in data analysis or data science.
- Fluency in Python and SQL for working with data and data warehouses.
- Experience in a technology team within a financial firm; alternative asset management and real estate experience is relevant.
- Advanced analytical skills, including statistical analysis, data modeling, data governance, data quality, and data integration.
- Experience with business intelligence tools such as Sigma and Tableau.
- Bachelor's or master's degree in Computer Science, Engineering, Finance, Economics, or a related field.
Nice to have
- Experience with version control, CI/CD tools, and cloud deployment technologies.
Culture & Benefits
- Health benefits including medical, dental, vision, and FSA benefits.
- Paid time off and life insurance.
- 401(k) plan and discretionary bonuses.
- Some employees may be eligible for equity and other incentive compensation.
- Equal employment opportunities and reasonable accommodation support are provided.
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