Regional Municipality of Peel

Advisor, Workforce Analytics "People Analytics"

7 days ago(1/12/2018 3:33 PM)
System ID
2018-7667
# Positions
1
Position Type and Status
Regular Full-time
Job Industry
Business Analysis, Business and Professional Services, Government and Public Sector, Human Resources
Career Level
Experienced
Post End Date
1/29/2018 11:59 PM

About Us

The Region of Peel serves a vibrant and culturally diverse community of more than 1.4 million residents and 88,000 businesses in Brampton, Caledon and Mississauga.  Committed to service excellence, transparency in decision-making and responsible tax management, the Region delivers a wide range of municipal services that are customer-focused and cost-effective.

 

The Region of Peel has recently completed a Strategic Planning process that engaged our residents and stakeholders to answer one question: “What can you imagine for the future of Peel?” All the feedback received formed the path forward and the strategic direction for the Region over the next 20 years.

 

 

To learn more about the Region of Peel please visit our website or watch the Faces of Peel video to see how our employees impact the residents of Peel.

 

Job Description

Advisor, Workforce Analytics "People Analytics"

Human Resources-Strategic Integration & Workforce Intelligence 

 

Are you creative, innovative and client focused with the ability to respond and adapt to the changing needs of a business and users?

 

We are looking for an enthusiastic candidate who promotes collaboration, teamwork and meeting client and business objectives.  

 

The role……………..

 

This position is responsible to lead the workforce analytics program from a technical and creative perspective to develop innovative solutions and supports for ongoing Human Resources (HR) operations, planning and outcomes measurement work to support internal programs and enterprise-wide initiatives.

 

Responsibilities:

 

  • 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
  • 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 output
  • 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 the workforce analytics program
  • Communicate with management and various stakeholders regarding findings, measurement reporting and evaluation of options
  • Maintain collaborative and supportive working relationships with key stakeholders such as senior management, staff and other key internal and relevant external groups

 

Qualifications:

 

  • Master’s degree with minimum 5 - 8 years’ experience in Economics, Statistics, Mathematics, Engineering, Computational Geometry, Actuarial Science or Data Science related discipline
  • 3-5 years’ applied experience related to a minimum of three of the following subject areas: descriptive/predictive modeling, distributed network analysis, adaptive recommendation systems, machine learning, fraud detection algorithms and behaviour modelling
  • Experience in building a people analytics program and value added workforce metrics
  • Extensive experience with statistical software packages such as SPSS, SAS, STATA, SYSTAT, R and text analytics tools
  • 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
  • Expert knowledge of BI concepts and data mining techniques e.g. associations discovery, sequential pattern discovery, classification, clustering and forecasting
  • 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
  • Proficient in use of MS office tools, in particular Excel and Access
  • Advanced knowledge and experience with creation of databases
  • Public sector experience in support of diverse programs and services is preferred
  • One or more of the following professional designations is preferred:
  • SAS Certifications
  • Certified Analytics Professional
  • Certified Data Management Professional (CDMP)
  • Certified Business Intelligence professional (CBIP)
  • Advanced programming skills

 

Work Location: 10 Peel Centre Drive, Brampton

Hours of work: 35 hours /week- Monday through Friday, 8:30 am -4:30 pm

 

If this opportunity matches your qualifications and experience, please apply online.

 

Additional Information

At the Region of Peel, we respect diversity and treat one another in ways that are fair, courteous and compassionate, recognizing everyone’s contributions. As an equal opportunity employer, we are committed to establishing a qualified workforce that is reflective of the diverse population we serve. The Region of Peel is committed to providing accommodations throughout the recruitment process. If you require accommodation please notify us and we will work with you to meet your needs. We encourage applications from all qualified individuals; however, only those under consideration will be contacted.

 

Please be advised, the Region of Peel uses email to communicate with their applicants for open job competitions. It is the applicant’s responsibility to include an updated email address that is checked daily and accepts emails from unknown users. As we send time sensitive correspondence via email (i.e. testing bookings, interview dates), it is imperative that applicants check their email regularly. If we do not hear back from applicants, we will assume that you are no longer interested in the Job Competition and your application will be removed from the Competition.

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