Human Resources Data Analytics Off-cycle Internship (6 months)

At PwC, we help clients build trust and reinvent so they can turn complexity into competitive advantage. We’re a tech-forward, people-empowered network with more than 370,000 people in 149 countries. Across audit and assurance, tax and legal, deals and consulting we help clients build, accelerate and sustain momentum. Find out more at www.pwc.com.Our Firmwide Corporate Services unite to help build our competitive advantage with first class support internally. Spanning Administration, Business Development, Chairman’s Office, Compliance, Finance, Human Resources, Learning and Development, Legal, Marketing and Communications, Operations and Change Management, and Technology, we power our lines of services to make sure all of us have the right sources, services and technology to be the best we can be.Not all of us work directly with external clients. Some of our most talented people choose to harness their skills, experience, expertise and service excellence within PwC. The possibilities are endless and our business landscape is changing everyday.We are looking for interns who are able to commence immediately for a 6 months period.Responsibilities:Ideate, design then develop holistic people analytics reports Apply advanced data analysis techniques and transform HR data into actionable insightsEnhance intellectual analytical capabilities integrating available HR data sets with big dataCollaborate with stakeholders to enable analytics-based critical decision makingWork closely within the HR Technology team to continuously develop people metrics, scorecards and dashboards to measure elements such as:Engagement, Productivity and Cost across employee lifecycleEfficiency and effectiveness of our various People initiativesRequirements:Student from Business Administration / Human Resources / Data Analytics / Business Informatics or relevant coursesHave a passion in uncovering the mystery behind human capital management with data, using big data, AI, statistics and SQL queriesHighly motivated, enthusiastic, confident and creativePossess strong interpersonal and communication skillsPassionate about solving problems, relentless need for investigation and data exploration