Geotechnical Data Specialist building secure Azure data platforms and geotechnical analytics for AtkinsRéalis. Supporting multidisciplinary engineering projects across Canada through databases, visualization, and automation.
About the role
- Data and digital solutions specialist supporting Peel Region’s water and wastewater operations. Developing analytics, Maximo solutions, predictive models, dashboards and digital process improvements.
Responsibilities
- Develop sophisticated algorithms, models, statistical representations, pattern recognition and data visualizations for structured and unstructured data
- Build reports, dashboards and metrics using business intelligence tools such as Microsoft Power BI
- Complete user needs assessments, scope and develop digital solutions for divisional staff
- Provide technical expertise throughout the project lifecycle
- Develop user and technical design documentation and end-user training
- Work with project teams to understand, document and validate requirements
- Design and implement user interfaces, maintain programs and applications, and develop automated processes
- Identify and assess data sources for research and information requests
- Extract, transform and analyze data from operational systems and other sources
- Prepare management reports, metrics and dashboards
- Support implementation of the Region’s Work Order Management (Maximo) system as technical expert for Operations teams
- Design, develop and maintain an enterprise asset metadata repository
- Mine data to discover trends and patterns and validate assumptions and processes
- Build predictive models using decision trees, logistic regression and Structural Equation Modeling
- Conduct advanced statistical analysis and problem-solving across programs and services
- Develop advanced web graphics and interactive dashboards for decision-makers and the general public
- Design, develop and maintain divisional performance measurement scorecards and dashboards
- Develop and maintain positive relationships with internal and external stakeholders
Requirements
- A University Degree in Computer Science, Information Technology, Statistics, Economics, Mathematics, Data Management/Science or related discipline
- 3 years direct relevant work experience
- Considerable experience in Business Intelligence, Business Analytics, Business Strategy or Data Warehousing, Software Development, and Enterprise Asset Management
- Advanced analytics, descriptive and predictive modeling skills using SPSS, SAS, STATA, R and text analytics tools
- Advanced skills using Microsoft Power Platform: Power BI, PowerApps, Power Automate and SharePoint
- Experience with ETL and RPA tools
- Experience working with JSON, XML, JavaScript, Python and SQL file formats
- Familiarity with data visualization tools
- Ability to combine artificial intelligence, pattern recognition, databases, traditional statistics and graphics to identify hidden relationships and patterns
- Experience extracting valuable insights from large data pools
- Considerable experience extracting, transforming and loading data from operational systems
- Considerable experience in business reporting, performance measurement and decision support systems
- Combination of education and experience may be considered
- Project management experience and demonstrated ability to work collaboratively with cross-functional teams
- Ability to communicate complex quantitative analysis clearly, precisely and actionably
- Strong written and verbal communication skills for presenting technical concepts to non-technical audiences
- Strong facilitation skills for delivering training on technical solutions
- Commitment to diversity, equity and inclusion
- Off-site work location must be within the province of Ontario
Benefits
- Voluntary enrolment into OMERS pension plan
- Accrue vacation on a monthly basis, starting at 3 weeks per annum
- 3 paid personal days and floating holidays
- Flexible hours supporting wellness and wellbeing
- Annual performance review and merit increases based on performance
- Supportive leadership and a culture of respect and inclusion
- Access to tuition reimbursement and learning and development resources
- Hybrid work arrangement with off-site and on-site flexibility
- Virtual recruitment interview process
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