Overview
Lead the day-to-day delivery of the HR Analytics team within Data & AI, ensuring analyses on the effectiveness of HR processes, procedures and policies are accurate, timely and business-relevant.
What you'll do
- Coordinate the daily activities of the analytics team to ensure timely and accurate delivery of analyses, insights and dashboards.
- Review and guide the team's work on HR analytics, text analytics and data science or machine learning models, ensuring methodological soundness, model accuracy and explainability.
- Act as the first point of contact for team escalations and support issue resolution with analysts and technical teams.
- Collaborate with the Analytics Manager on planning, prioritization, capacity planning and workload balancing.
- Engage with stakeholders to gather requirements and ensure alignment between business questions and analytical outputs.
- Conduct regular quality checks on outputs for data accuracy, completeness and consistency.
- Support onboarding, knowledge transfer and capability building across the team.
- Identify process inefficiencies and opportunities for automation and advanced analytics.
- Maintain documentation, SOPs and process maps for key analytical routines; track performance metrics and prepare status updates.
- Interact with peers and management levels at the client and/or within Accenture; manage small teams and/or work efforts.
- Follow defined processes and governance standards for secure and compliant handling of employee data.
What you'll need
- Any graduation.
- 10 to 14 years of experience.
- HR Analytics (People Analytics).
- Text Analytics or NLP (survey comments, sentiment and topic analysis).
- Python (Pandas, NumPy, Scikit-learn, NLTK or spaCy) with ability to review code.
- Data Science or Machine Learning (regression, classification, clustering, predictive modelling, model evaluation).
- Advanced Excel.
- Problem solving skills (analytical skills, adaptable and flexible, or agility for quick learning).
- Team leadership, mentoring and quality review.
- SQL and data extraction or transformation.
Details
Read the full description and apply on the company’s own careers page.