COMPANY OVERVIEW

LP Analyst is a leading independent private asset cloud-based analytics and consulting solutions firm that works closely with many of the industry’s most prominent institutional investors (LPs) and fund managers (GPs) to get better, more actionable decision-making intelligence into the hands of today’s demanding investors.
Our firm truly sits at the intersection of private asset analytics and consulting which means we take both a highly quantitative and qualitative approach to tackling big challenges and developing cutting-edge solutions for our clients. For our analyst team, this means not only getting into the details when working with large amounts of private asset data across a wide range of strategies but also an opportunity to synthesize this information, through the firm’s proprietary reporting and analytics platform, for key decision makers at our clients’ investment programs, including private asset class leads and chief investment officers.
If you are a high achiever with a passion for learning about the private asset analytics and consulting landscape while also being part of a strong, motivated and innovative team of forward-thinking professionals, LP Analyst might be the right place for you.
LP Analyst encourages and promotes diversity within its team. Women, minorities, people with disabilities, veterans and members of all underrepresented groups are strongly encouraged to apply.

JOB SUMMARY

LP Analyst is seeking a highly motivated and detail-oriented individual to join our team as a Process Improvement and Business Intelligence (BI) Analyst. This person is responsible for enhancing organizational efficiency and decision-making through the implementation of process improvement strategies and the development and maintenance of business intelligence dashboards. In this multi-faceted position, you will collaborate with various teams to support existing process automations and develop new process automations using Remote Process Automation and leveraging AI. You will also support our team in designing, developing and maintaining BI dashboards including integrating data from various sources.

QUALIFICATIONS AND SKILLS

• Bachelor’s degree in a relevant field, such as Computer Science, Business Administration, or a related discipline
• Expertise in business intelligence tools, particularly Power BI, and proficiency in DAX for advanced calculations
• Experience with Microsoft products including Azure, Power Automate, Power Platform and Dynamics
• Strong understanding of SQL databases and the ability to translate business requirements into technical specifications
• Proven experience in project coordination, product management, or similar roles
• Exceptional communication skills, both written and verbal, with the ability to convey technical information to non-technical stakeholders
• High self-motivation with ability to learn quickly, meet deadlines and seek additional leadership roles
• A keen eye for process optimization and automation opportunities, with a willingness to learn and support ongoing initiatives
• Detail-oriented, organized, and capable of managing multiple tasks and priorities effectively
• Strong problem-solving skills and a proactive mindset
• Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa for this position

• Collaborate with cross-functional teams to gather requirements, analyze processes, and propose automation solutions to support the business
• Assist in the development of a prioritized plan for implementing process improvements, considering the potential impact on the organization
• Support the implementation of approved process improvements, working closely with project leads and stakeholders
• Assist in making necessary adjustments and refinements to implemented processes and maintaining technical documentation accordingly
• Oversee existing automation processes and related systems
• Create and maintain business intelligence reports and visualizations for internal and client-facing platforms
• Integrate data from various sources into cloud infrastructure for use in BI platforms
• Research and evaluate new functionality for internal and client-facing BI platforms