People Analytics Lead

**Introduction**

Through our client-facing brands Metropolitan and Momentum, with Multiply (wellness and rewards programme), and our other specialist brands, including Guardrisk and Eris Property Group, the group enables business and people from all walks of life to achieve their financial goals and life aspirations. We help people grow their savings, protect what matters to them and invest for the future. We help companies and organisations care for and reward their employees and members. Through our own network of advisers or via independent brokers and utilising new platforms Momentum Metropolitan provides practical financial solutions for people, communities and businesses.

**Role Purpose**

Lead the People Analytics practice, providing business with strategic people insights and data-driven solutions which enables and supports business and workforce objectives. Manage the design, implementation and running of the Group Human Capital data technology platform.

**Requirements**:

- Degree in Information Technology, Mathematics, Economics, Statistics, Engineering, Computer Science, Data Science or related field
- 7-10 years' experience successfully leading teams who manage multiple priorities.
- 7-10 years' experience in statistical analysis, data modeling, predictive analytics, and data visualisation techniques.s.
- 3-5 years' experience in using advanced analytics tools and programming languages (e.g., R, Python, SQL) and data visualisation tools (e.g., Power BI).
Strong expertise in people analytics, HR analytics, workforce planning within a financial services industry (advantageous).
- Demonstrated track record of delivering strategic business analytics solutions and capabilities.
- Demonstrated track record of translating data into actionable insights and delivering strategic recommendations to key stakeholders.
- Strong expertise in developing and driving Artificial Intelligence solutions and techniques.
- Strong expertise in formulating business problems to enable statistical modelling.

**Duties & Responsibilities**
- Build, develop and lead the overall people analytics strategy in line with the people strategy, business objectives as well as organisational maturity.
- Design solutions in line with the people analytics agenda aligned to business processes that need to be measured and analysed.
- Provide strategic insights, recommendations and solutions to key stakeholders and executives based on data analysis, predictive modeling, and forecasting.
- Build advanced analytics, automation of reporting, dashboards, visualisation, storytelling and influencing capabilities to drive improvement and data-based decisions.
- Lead discovery processes with business stakeholders to identify problems and opportunities that may be addressed with statistical modelling or machine learning.
- Provide thought leadership on emerging trends, best practices, and innovative approaches in people analytics and data analysis across the human capital value chain.
- Oversee the data management platform architecture ensuring optimal data management, delivery and performance.
- Elicit the business requirements and uncover business opportunities, resulting functionality, data and processes needed in order to design and implement the appropriate solution.
- Provide frameworks to best identify, understand, and interpret data structures across various databases within the business to facilitate data analysis and continuous monitoring activities.
- Oversee the sourcing of data, data mining and to continuously enrich data sets.
- Build data models to support predictive and descriptive analysis
- Ensure that data analytics and reports provided to the business are accurate, reliable and timeous.
- Manage data integrity and cleansing activities in order to continuously improve the quality and completeness of data.
- Model and frame business scenarios that are meaningful and which impact on critical business processes and/or decisions.
- Extend existing code and develop custom code to implement statistical models, machine learning algorithms and data mining techniques for large datasets in a computationally efficient manner.
- Interpret results and translate findings into clear and actionable insights that can be easily validated.
- Lead the definition and governance of key business metrics, drive the vision and building of automated dashboards and self-service analytic capabilities, and data-driven processes that drive business value.
- Manage the development and ongoing review of the data governance framework and standards in-line with applicable Group and Legislative requirements.

**Competencies**
- Strategic mindset, with a deep understanding of HR practices
- Strong project management skills
- Strong business acumen and understanding of the organisation's industry, market dynamics, and HR-related challenges and opportunities.
- Data analysis
- Developing and Implementing Machine learning algorithms and solutions
- Data modeling