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  • Posted: Sep 7, 2017
    Deadline: Not specified
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    Imagine a world where people live healthier, more enhanced and protected lives… A world in which each organisation is a powerful influencer and responsible corporate citizen, committed to being a force for social good. As a leading innovator in healthcare, wellness, insurance, investments, financial and life planning, Discovery works ceaselessly to...
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    Head of People Analytics - Discovery People

    Job description

    Key purpose

    Discovery is a high performance organisation that attracts exceptional individuals. Our fast-paced environment is always buzzing with energy as smart, motivated people challenge themselves and each other to be more than they ever imagined they could be.

    The objective of the Strategic Enablement team is to enable an environment where the best people love to work, where their potential is liberated and where they are recognised and rewarded for outstanding performance.

    This role requires someone who uses big data, analytical insights and research to provide the board and business with critical performance information, creating dashboards and intelligence highlighting the key indicators of HR performance. The intelligence and analytics enables Board, HR management and the Business CEO to set targets to measure and assess HR contributions that can be quantified.

    Job brief

    We are looking for a passionate Head of People Analytics. This senior position will be responsible for the execution and delivery of People data engagements as well as overseeing the mapping of data movement, data sources, interfaces and analytics with the goal of ensuring data quality within the organisation.

    The successful candidate will manage a team responsible for turning data into information, information into insight and insight into business decisions. The People Analytics team uses data-driven insights to understand and improve complex internal people processes like interviews, hiring, manager effectiveness, compensation, employee retention, employee engagement, diversity and inclusion.

    You will define an analytics strategy to support the overall business strategy. You will develop a roadmap to grow data analytics capability in line with business objectives. You will help drive a cultural change to become a data driven organisation and exploitation of data assets to create business value. You will serve as a link between data governance, compliance and business initiatives to exploit enterprise data.

    Responsibilities

    • Champions the strategic value of data analytics as a business asset, ensuring it is part of the corporate DNA in the Human Resources domain.
    • Develop and drive the data analytics strategy in line with the business strategy and ensure analytics team’s outputs meet the business needs of all key stakeholders,
    • Utilizes technology and analytical tools to develop and analyze enterprise-wide people and other cross-functional data as needed
    • Work with business leaders, technology and data officers in prioritizing activities to drive data strategy and providing value to business
    • Work with an enterprise architect on defining a logical data landscape and use of data, identifying quick wins that can gain buy-in from business
    • Ensure analysis and actionable insights meet business objectives, and proactively identify trends, areas of opportunity, and efficiencies across the organisation.
    • Designing best practice advanced data analytics delivery methodologies
    • Manage a team of analytics and data professionals
    • Champion data analytics with other senior stakeholders across the business
    • Maintain and manage relationships with external data consultants and vendors
    • Management of all data sources including implementation of the Enterprise Data Warehouse. Creates, maintains, and ensures quality assurance of key human resources data sets, reports, and metrics
    • Perform data manipulation and analytics on large datasets using various statistical tools and techniques
    • Provides management support to the Human Resource function in the areas of people metrics, reporting, and advanced and predictive analytics.
    • Supports the Human Resource leadership team to identify business challenges and use data analysis to help influence changes to the operations, process or programs.
    • Communicates findings to senior management via formal presentations, standard management reporting artifacts on periodic/quarterly/annual basis.
    • Serves as the domain expert for human capital analytics.
    • Collaborates with subject matter experts across the HR service areas (learning and development, staffing, talent management, diversity, compliance) to promote data governance and stewardship, and to improve overall strategic and operational performance and insight.
    • Works as the key representative to the external benchmarks and key surveys supporting the HR function.

    Requirements

    • Bachelor's degree coming from a mathematics or computer science-related subjects, or significant demonstrable experience working with Data.
    • Minimum of 8+ years of data analytics experience in a major services organization, or within a large data environment.
    • A technical background in mathematics, statistics, computer science, data analytics or similar
    • Proven leadership within Data Science/Advanced Analytics within industry and commerce, with one or more of the following sectors of significant interest: Telecommunications, Marketing, Technology, Financial Services, Retail
    • Proven leadership capabilities across multiple functional disciplines. The ability to work on multiple projects and manage conflicting demands
    • Strong communicator with ability to both write and present powerfully, to senior stakeholders
    • Data management experience including traditional ETL knowledge, data quality, data governance etc.
    • Reporting/visualisation e.g. PowerBI, Qlikview, etc
    • Experience of Organisational deployment of Business Intelligence solutions including people, process and technology factors
    • Experience managing, mentoring, and developing talent.

    Advantageous

    • Experience using statistical and machine learning techniques e.g. regression, clustering, sampling, neutral network analysis etc
    • Knowledge of advanced analytics and data science tools e.g. SAS, R, ML Azure etc.

    Equity Statement

    • Preference will be given to applicants from designated groups and suitable internal candidates in line with Discovery’s policies.

    Method of Application

    Interested and qualified? Go to Discovery Limited on career2.successfactors.eu to apply

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