Job Description

Job Summary Contract Duration - 6 months

Summary of the role:
Strategically partner with HR Product Owners to assess the key business and HR Product & Service challenges to be solved by people data and analytics & translate these requirements into data driven solutions for the area. Work on high value & high complexity data challenges & leverage deep data science expertise (e.g., big data, advanced statistics, data wrangling, data mining, data analysis, predictive modelling, storytelling, data visualization, machine learning, AI, data intuition) to operationalize & continuously improve people data solutions that deliver relevant, quality assured, accurate & commercially impactful.

Responsibilities & KRA's

• Leverage a deep understanding of the HR business area and collaborate with multiple stakeholders across the HR Value Chain (product owners, cluster HR etc.), Service Management, Technology and the Business to identify the people data challenges and requirements to be solved
• Translate business challenges into key questions, hypotheses and related metrics to be solved for
• Work with product owners to define xe2x80x98what good looks likexe2x80x99 for people data & analytics solutions and to craft a data strategy to meet the short, medium, and long-term product and service requirements
• Design holistic data solutions to support assigned people products and services xe2x80x93 translating sometimes vague and ambiguous asks into specific and tangible data modeling, analysis and ultimately visualization
• Proactively partner with the technology (data engineers, BW specialists and data architects) to refine data requirements and develop technical solutions to deliver raw data for analysis and interpretation. Ensure sustainable data delivery to meet the ongoing people data and analytics requirements of the product and service area
• Design fit for purpose people data interpretation & analysis approaches & create customized data models, algorithms, machine learning tools and recommendation engines to achieve the desired business outcomes
• Gather and analyse complex multidimensional, high volume people related datasets using various data analytics tools and techniques
• Use advanced data science skills to mine & interpret data. These include but may not be limited to: advanced statistics, data wrangling, data mining, data analysis, feature engineering & predictive modelling, distributed computing, machine learning tools & data intuition
• Derive descriptive and predictive people analytics and insights and translate these in the language of business directing clear recommendations and implications for workforce optimization and workforce experience
• Work with HR Product Owners to establish product and service strategies to address challenges identified by the data insights
• Consistently refine and improve people data & analytics solutions aligned to various HR Products & Services
• Deliver an exceptional workforce experience by empowering HR Product Owners, Employees, Line Managers and business leaders with relevant, timely, accurate data driven insights that is used for business decision making
• Demonstrate how identified and operationalized data solutions have led to tangible commercial business impact for the HR Community
• Consistently develop and improve broad expertise in data (wrangling, mining, visualisation, and reporting, data intuition, feature engineering, qualitative and quantitative data analysis, coding & scripting languages, data solutions etc.)
• Leverage people data and analytics processes and practices to contribute to meaningful improvements in data engineering, data architecture and data science in Human Resources
• Apply quality assurance frameworks to test applied data modelling and analysis techniques (e.g. algorithms, models) & overall data quality
• Apply the testing frameworks to monitor and analyse data quality and data integrity on all data assignments
• Use storytelling and data visualization techniques to maximize impact & deliver a user friendly, commercially relevant data product (reports, insights, dashboards etc.) to business
• Promote data literacy across the enterprise by sharing best practices and coaching the HR community on the value and impact of powerful data

Education:

• Bachelor degree in Information Systems or equivalent

Uyandiswa Project Management Services Pty Ltd

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