.jpg)
.jpeg)
.jpeg)
.jpeg)
Carlyle Group
is hiring
Senior Data Analyst
About Our Company
Carlyle (NASDAQ: CG) is a global investment firm with deep industry expertise that deploys private capital across three business segments: Global Private Equity, Global Credit, and Carlyle AlpInvest. With $475 billion of assets under management as of March 31, 2026, Carlyle’s purpose is to connect people, ideas, and capital to fuel growth for companies and performance for investors. Carlyle employs more than 2,500 people in 28 offices across four continents.
Job Description & Responsibilities
Position Summary:
The Senior Analyst plays a significant role in the production of recurring reporting deliverables, including the Quarterly Update to Investors (“QUI”) reports. The Senior Analyst will be responsible for reviewing content prepared by deal teams, drafting content leveraging current technology, coordinating data needed for reports from other departments, and assembling an accurate and complete draft. Additionally, the Senior Analyst will be responsible for preparing and responding to data requests, both internal and external, by leveraging existing reporting tools. The Senior Analyst must gain a solid understanding of the Carlyle data model to be successful. This position must be able to prioritize multiple tasks from multiple stakeholders in a deadline-oriented environment while maintaining strong attention to detail and communication skills.
The Senior Analyst will be an active participant in technology projects, collaborating with CA&R colleagues, Fund Management, Product Managers, and Global Technology and Solutions (“GTS”) to improve reporting technology, data collection and ultimately, to drive efficiencies and scale in the preparation and review of recurring reporting deliverables using tools such as Snowflake, Claude, and internal Carlyle tools. The Senior Analyst must gain an understanding of reporting needs, write requirements, and work with GTS to develop, test and implement new solutions.
Requirements
Education & Certifications:
Bachelors degree, required
Concentration in Accounting, Finance or Economics, preferred
Professional Experience:
Minimum 2 years of relevant experience, required
Demonstrated record of expertise in quantitative analysis and financial modeling
Competencies & Attributes:
Advanced Microsoft Office (including Excel, PowerPoint, and PowerBi) skills required
Ability to integrate AI tools into workflows to improve reporting speed, clarity, and accuracy
Operate in a demanding and fast paced environment and balance multiple tasks
Strong, confident, and proactive communication skills required - frequent direct communication with Investment Professionals and Fund Management colleagues
Self-starter: Creative thinker that can provide solutions to roadblocks encountered
Strong interpersonal skills necessary; confidence to escalate existing or potential issues or delays and identify potential solutions
Strong organizational skills: high-quality work product, attention to detail, and accuracy are required
Demonstrated ability to work effectively as part of a team; seek and identify ways to make contributions that improve processes, mitigate risk, and increase the effectiveness of the team overall
High integrity and must be able to maintain confidentiality of sensitive and proprietary matters
What we offer
The compensation range for this role is specific to Washington, DC and takes into account a wide range of factors including but not limited to the skill sets required/preferred; prior experience and training; licenses and/or certifications.
The anticipated base salary range for this role is $100,000 to $115,000.
In addition to the base salary, the hired professional will enjoy a comprehensive benefits package spanning retirement benefits, health insurance, life insurance and disability, paid time off, paid holidays, family planning benefits and various wellness programs. Additionally, the hired professional may also be eligible to participate in an annual discretionary incentive program, the award of which will be dependent on various factors, including, without limitation, individual and organizational performance.
