Advisor, Workforce Analytics
7 months ago
**Job Description**:
**Advisor, Workforce Analytics**
**Corporate Services
- Human Resources**
**Status**:Contract Full Time; 13 month duration
**Salary Range**:$96,785-$120,979 plus comprehensive benefit
**Work mode**:Hybrid*
_see below for more details about this work mode._
**Location**:7120 Hurontario Street, Mississauga
**Hours of work**:35 hours per week
**Who we are**: Human Resources (HR) partners with clients to achieve outcomes and create a positive employment experience that is built on trust, respect and teamwork.
In this role you will indirectly Supervise/ Manage a team of 3.
In this role you will lead analytic projects from a technical and creative perspective to develop innovative solutions and support for ongoing Human Resources (HR) operations, planning and outcomes measurement work to support internal programs and enterprise-wide initiatives.
You will be accountable for recommendations that will influence policy development, operational planning and the implementation of the Workforce Analytics Strategy.
**What you will do in this role**:
- Lead key projects and portfolios supporting the execution of the HR Workforce Analytics Strategy as well as the operations of the HR workforce analytics function
- Provide expert level direction and guidance on functional data management decision making and support in areas such as data access/security, data structure, data cleansing, collaboration and data visualization (conventional, web-based and interactive), performance measurement, statistical analysis and data integration
- Establish data sharing agreements, manage and coordinate access to Master data sets via other Region of Peel Business areas, external government and non-governmental partners, and develop protocols and procedures to maintain Master data set access requirements and credentials
- Design and direct highly complex and specialized statistical analysis and problem-solving utilizing data from widely varied programs and services to help identify and optimize system linkages and achieve program objectives
- Develop and deploy sophisticated data mining techniques to analyze historical data to discover trends and patterns and develop algorithms to validate existing assumptions and processes
- Design complex and sophisticated data visualization, advanced web graphic technology and interactive tools to make large datasets coherent in order to better understand patterns and explain complex issues and results to decision-makers, partners and the general public
- Accountability for establishing, maintaining, optimizing and maximizing Return on Investment (ROI) from workforce related data sets
- Develop and influence internal relationships with client groups to ensure Workforce Analytics solutions align with the Workforce Analytics Strategy and the Enterprise Business Intelligence Strategy. This includes consultative work to identify and prioritize client needs, review business processes, advise on collection, analysis and intelligence of workforce related information
- Provide expert guidance and advice in the design and delivery of assigned projects including developing and implementing highly technical and complex quantitative/analytical solutions and algorithms, determining project priorities/scope and accountability for quality and accuracy of outputs
- Ensure adherence to policies, standards, procedures and best practices (governance) related to the following areas: information privacy, data integration, Master Data Management, data warehousing, data quality, and data utilization for workforce related data and information
- Monitor emerging industry trends and adjust governance, tools, advice and recommendations accordingly for all program and service responsibilities and champion change at the department and corporate level
- Communicate with management and various stakeholders regarding findings, measurement reporting and evaluation of options
**What the role requires**:
- Master’s degree with minimum 5 - 8 years’ experience in Human Resources, Health Informatics, Economics, Statistics, Mathematics, Engineering, Computational Geometry, Actuarial Science or Data Science related discipline.
- Combination of education and experience may be considered
**Skills/Abilities**:
- Presentation and Facilitation skills
- Extensive experience with PowerBI- Expertise and experience assembling a blend of classical and advanced components like artificial intelligence, pattern recognition, databases, traditional statistics and graphics tools to identify relationships, correlations, trends and patterns found within structured and unstructured data sets- Advanced skills in structural equation modeling, generating decision trees, cluster analysis, text analytics, and data visualization- Experience with data visualization tools including open source and commercial packages and libraries, as well as the ability to create custom visualizations using combinations of linked tools- Expert k
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