People Analytics Manager - Hybrid, Insight-Driven Leader

Latham & Watkins LLP; Los Angeles (CA); Hybrid; USD 160,000 - 180,000; Full time

Benefits offered by this job

Healthcare

401k plan

Paid holidays

PTO accrual 23 days first year

Well-being programs

Professional development

Job summary

Latham & Watkins LLP is seeking a People Analytics Manager to drive reliable workforce reporting and governance across the firm. Based in Downtown LA with a hybrid schedule, you will design scalable analytics infrastructure and deliver self-service reporting capabilities for stakeholders across the organization.

You will partner with HRBPs and cross-functional teams to define data requirements, build robust data models, and develop executive-level insights.

Qualifications

• Bachelor’s degree or equivalent in Business, Finance, Analytics, Human Resources, Economics, or related field.
• 7+ years of experience in people analytics or related function.
• Experience in data governance and cross-functional collaboration.

Responsibilities

• Partner cross-functionally to improve workforce data quality and governance across systems.
• Collaborate with data teams to define data requirements and standardize metrics.
• Work with HRBPs to translate business questions into data and reporting needs.
• Develop clear documentation: data dictionaries and end-user guides.
• Create executive-level reports translating data into insights and actionable recommendations.
• Protect confidential and sensitive information.

Skills

People analytics

HR analytics

Data governance

Executive reporting

Education

Bachelor's degree or equivalent

Job description

Latham & Watkins LLP is seeking a People Analytics Manager to drive reliable workforce reporting and governance across the firm. Based in Downtown LA with a hybrid schedule, you will design scalable analytics infrastructure and deliver self-service reporting capabilities for stakeholders across the organization.

You will partner with HRBPs and cross-functional teams to define data requirements, build robust data models, and develop executive-level insights.