Data Operations & Governance Specialist

Houlihan Lokey, Inc.; Greater London; On-site; GBP 40,000 - 65,000; Full time

Job summary

Houlihan Lokey, Inc. in London seeks a Data Operations Analyst to establish enterprise-wide data standards and govern data quality across pipelines. You will lead initiatives to cleanse data, manage lifecycle processes, and support data-driven decisions for internal teams.

The role focuses on incident resolution, automation, and collaboration with Technology and Business units to improve reliability and efficiency of data assets.

Qualifications

• Bachelor’s degree, minimum 2.1 classification.
• 1–3 years of industry experience, preferably in operational and/or research roles.
• Strong interest in operations, investment banking, accounting, or consulting experience is preferred.
• Strong analytical capabilities and excellent verbal and written communication skills.
• Strong financial and computer skills.

Responsibilities

• Ongoing Data Management: lead monitoring and management of Data Operations pipelines with emphasis on cleansing corporate structures and company-level data.
• Incident Management & Resolution: lead data-related user questions from triage to root cause analysis and post-mortem.
• Knowledge Development: learn how the firm captures, cleans and utilizes data to support process improvements and internal queries.
• Operational Excellence: drive automation of tasks, including process/system deployments and data validation.
• Collaboration & Support: partner with Banker Success, Product, and Engineering teams to meet operational requirements.

Skills

Financial skills

Analytical skills

Verbal & written communication

Team collaboration

Data governance interest

Education

Bachelor's degree

Tools

Excel

Job description

Houlihan Lokey, Inc. in London seeks a Data Operations Analyst to establish enterprise-wide data standards and govern data quality across pipelines. You will lead initiatives to cleanse data, manage lifecycle processes, and support data-driven decisions for internal teams.

The role focuses on incident resolution, automation, and collaboration with Technology and Business units to improve reliability and efficiency of data assets.