Regional Municipality of Peel

  • Advisor, Analytics

    Posted Date 1 week ago(4/11/2018 5:13 PM)
    System ID
    # Positions
    Position Type and Status
    Regular Full-time
    Job Industry
    Business Analysis, Business and Professional Services, Government and Public Sector
    Career Level
    Post End Date
    4/25/2018 11:59 PM
    CAD $88,093.00/Yr.
    CAD $110,115.00/Yr.
  • 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, Analytics

    Digital and Information Services- Information Management / Business Intelligence 


    The Advisor, Analytics is accountable for leading analytic projects from a technical and creative perspective to developing innovative solutions and supports for ongoing Digital and Information Service operations, planning and outcomes measurement work for internal programs and enterprise-wide initiatives.

    This position will be accountable for providing recommendations that will influence policy development, operational planning and the implementation of the Business Intelligence Strategy.




    • Lead key projects and portfolios supporting the execution of the Digital and Information Services strategies as well as the tactical planning functions of program areas across the corporation supported by Digital and Information Services
    • 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 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 specialized data analysis tools and purchased/subscription-based data sets
    • Establish and manage vendor relationships with BI/Analytics solution and data providers to ensure project and portfolio needs can be met flexibly and efficiently
    • Develop and influence internal relationships with client groups to ensure Analytics solutions align with the Enterprise BI Roadmap and Information Management Strategies, lead interdepartmental group efforts to deliver integrated BI/Analytics solutions for clients and oversee implementation of effective tools. This includes consultative work to identify and prioritize client needs, review business processes, advise on business case development, implementation projects, and measure performance
    • 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
    • Design and direct the development of 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
    • 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
    • Maintain collaborative and supportive working relationships with key stakeholders such as senior management, IT staff and other key internal and relevant external groups



    • Master’s degree with minimum 5 - 8 years’ experience in Health Informatics, Economics, Statistics, Mathematics, Engineering, Computational Geometry, Actuarial Science or Data Science related discipline
    • 3-5 years’ applied experience relating to at least three of the following subject areas: descriptive/predictive modeling, distributed network analysis, adaptive recommendation systems, machine learning, fraud detection algorithms and behaviour modelling
    • 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


    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

    Public sector experience in support of diverse programs and services is preferred.


    Compensation: Band 8 as per Region’s Non-Union Salary Structure plus Comprehensive Benefits

    Work Location: 10 Peel Centre Drive, Brampton

    Hours of work: 35 hours /week- Monday through Friday


    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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