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Senior Manager – HR Analytics
Tiger Analytics. Take full accountability for client engagements from inception to completion, ensuring successful execution of data, analytics, and AI initiatives .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in leading client engagements for data, analytics, and AI initiatives, with a strong focus on HR analytics and transformation. Proven ability to manage cross-functional teams and cultivate strategic client relationships to drive measurable business outcomes.
Highest-signal resume keywords
HR AnalyticsData TransformationClient EngagementCross-Functional Team LeadershipBusiness Metrics Understanding
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data AnalyticsAI SolutionsHR MetricsKPI AnalysisProject ExecutionBusiness Needs IdentificationTechnical Team GuidanceEnterprise-Level SolutionsCloud-Native Data ModernizationAccount Expansion
Soft Skills
Relationship ManagementExpectation ManagementCommunicationProblem SolvingCollaboration
Certifications & Qualifications
Graduate in Business AnalyticsMBA
Industry Keywords
HR DataWorkforce ProductivityAttritionTurnoverSpan of Control
Tech Stack
Tools & technologiesCloud
About the role
Key responsibilities & impact- Take full accountability for client engagements from inception to completion, ensuring successful execution of data, analytics, and AI initiatives
- Translate complex business problems into viable, scalable analytics and AI solutions
- Manage, cultivate, and expand relationships with senior client stakeholders
- Ensure alignment, manage expectations, and deliver exceptional client experiences
- Lead and support cross-functional delivery teams consisting of data scientists, data engineers, and business analysts
- Ensure high-quality project execution
- Lead strategic engagements delivering enterprise-wide AI adoption, cloud-native data modernization, and measurable business outcomes
- Collaborate with AI, data, engineering, and consulting talent across geographies
- Grow strategic client partnerships
Requirements
What you’ll need- 9-15 years of professional work experience, with at least 5 years in HR analytics
- Experience in supporting enterprise-level HR data and analytics transformation initiatives
- Strong understanding of HR metrics and KPIs, such as headcount, attrition, turnover, span of control, and workforce productivity
- Ability to lead discovery workshops, engage senior HR and business leaders, and guide the technical team on approach
- Strong ability to oversee, support, and unblock cross-functional technical teams to ensure successful project delivery
- Demonstrated ability to identify business needs, pitch solutions, and drive account expansion
- Ability to work with IT and Data Engineering teams to help embed analytic outputs in business processes
- Graduate in Business Analytics or MBA or equivalent work experience
Benefits
Comp & perks- Medical
- Dental
- Vision
- Retirement Accounts
- Long and Short-Term Disability
- Life Insurance
- HSA/FSA Accounts (USA)
- Discretionary time off
- Continuous learning and AI upskilling opportunities
- Hands-on exposure to emerging technologies
- Opportunities to build expertise in Generative AI, agentic AI, and next-generation data platforms
- Equal employment opportunities