Overview:

The People Analytics Business Analyst consults with stakeholders inside & outside the organisation and through effective analysis helps them understand the factors that affect the current workforce so they can make better decisions, solve problems and ultimately make predictive decisions about the future workforce. The Data Analyst will also work closely with business People Analytics & Metrics resources to support them in their delivery of value add analysis to their respective business areas and will support in the development of analytics skills & competencies for this group.

1. Workforce Analysis:

The Data Analyst will work closely with leaders as a data-driven advisor and partner on strategic issues. Through applying a consultative approach, ask the rights questions to understand the business priorities, understand problems to be solved and/or decisions to be mad. Based on responses collect the required data, investigate / analyse the information, find the insights and establish implications and recommendations based on the obtained results. Help Leaders/business leaders use the data to make 'informed' business decisions.

The Data Analyst should enjoy both working with people and undertaking rigorous statistical analyses.

• Execute quantitative analyses that translate data into actionable insights. Provide analytical and data-driven decision-making support for key topics.
• Provide reporting and performance monitoring to using data drawn from diverse sources.
• Understand the business context and user requirements to devise relevant metrics and decision models for evaluating performance and recommending future actions.
• Conduct data analysis, visualize result to tell a story, share insights and recommendations (not just numbers).

2. HR Analytics Technology

• Supports the evolution of the Analytics application.
• Work as a leading contributor to drive development of Analytics solution globally.
• Work closely with process owner and IPO in design, development and improvement projects related to Analytics.
• Through understanding of the needs within different process areas, identify areas for improvement and contribute to reengineering initiatives to address deficiencies in existing system and apply better design principals

Desired Skills and Experience

• B.S. or B.A. in Math, Statistics, Comp Sci, Engineering, or other technical field required; advanced degrees strongly preferred
• Highly skilled at manipulating, transforming, and analysing complex, high-volume, high-dimensionality data from varying sources
• Good understanding of statistical analysis. Utilize statistical techniques to identify trends and patterns for specific business cases.
• 2+ years experience performing quantitative analysis, preferably for an internet or technology company
• Strong hands-on experience with SQL, data warehousing, data modelling, dashboarding and reporting, involving very large datasets and multiple data sources, with ability to interpret data and produce meaningful insights
• Excellent SQL skills: extensive experience querying large, complex data sets
• Ability to execute research projects, and generate practical results and recommendations
• Good client management skills with a strong grasp of both technical and business perspectives
• Proven ability to work in a fast-paced environment, and to meet changing deadlines and priorities on multiple simultaneous projects
• Excellent organizational, communication and interpersonal skills
• Enjoy working in both individual and team settings
• Support data modelling for setting up the data warehouse from operational /transnational data.
• Explore new BI tools and support decision making on setting up business intelligence processes within the company.
• Collaborate with multiple cross functional teams.
• Support and positively influence others to achieve organizational and team objectives-Potentially manage a team in the near future.

• Preferred qualifications
• Certificate in business analytics, data mining or statistical analysis
• 4 years experience with statistical programming languages (for example SAS)
• 4 years experience with SQL and relational databases (for example DB2, Oracle, SQL server)
• 4 years experience using a business intelligence (BI) tool (for example, Oracle) to create reports to specifications
• 4 years experience developing and testing website applications

We offer attractive remuneration package to the successful candidates. Interested parties please submit your application with your full resume and expected salary.

(Personal data collected will be used for recruitment purpose only)

Applications will be kept confidential and used for recruitment purpose only. The Company will retain the applications for a maximum period of six months and may refer suitable applicants to other vacancies within the Group.