Analyst / analyst data
Hamilton Lane is looking to expand our team to satisfy the needs of our growing client base. Hamilton Lane is built on collaboration, teamwork and integrity. Our employees pursue excellence and always strive to do the right thing. We invest in our employees, clients and partner relationships, as well as, in the technology and resources necessary to remain competitive, working in a competitive environment that inspires innovation.
The Opportunity The Data Integrity Team is responsible for setting up investments in various Hamilton Lane’s systems, data entry, creating and reviewing daily data controls, reconciling data, and finding creative solutions to data related problems. Our strong, knowledgeable team is actively involved in the firm’s back-office operations and has regular communications with several departments, technology solutions, fund operations, and investment execution. The Data Integrity Analyst role requires strong analytical and technical skills. Your Responsibilities Will Be To- Perform accurate and timely data entry
- Review daily data controls for completeness and accuracy
- Reconcile investment and accounting data across platforms
- Coordinate with third party data providers
- Maintain a key focus on process management and quality control
- Partner with cross-functional teams to resolve data issues
- Support process improvements and automation initiatives
- BA, BS in related field
- Demonstrated interest and coursework in data, economics, finance, accounting, mathematics, or technology, or related work experience in an accounting/financial industry setting preferred
- Aptitude for problem solving
- Strong communication skills
- Must be proficient in Microsoft Excel
- Must be detail oriented and organized and possess good analytical skills
- Must be able to handle multiple assignments/initiatives
- Ability to operate in a fast-paced environment is essential
- Experience with iLEVEL is a plus
- Experience with advanced database or computational software tools is a plus (e.g., SQL, Access, SAS, R, Python)
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