Data Specialist

1 week ago

Toronto, Canada City of Toronto Full time

**Job ID**: 46561

**Job Category**:Engineering & Technical

**Division & Section**:Parks, Forestry & Recreation, PFR Bus & Technology Transformation

**Work Location**:Metro Hall, 55 John Street (Hybrid)

**Job Type & Duration**:Full-time, Temporary (24 months) Vacancy

**Salary**:$93,734.00 - $123,449.00

**Shift Information**: Monday to Friday, 35 hours per week

**Affiliation**: Non-Union

**Number of Positions Open**: 1

**Posting Period**: 17-JUN-2024 to 02-JUL-2024

**Job Summary**

Reporting to the Program Manager, EWMS PF&R, this position will help to guide policies/procedures regarding program specific requirements, with a heavy focus on asset data as PF&R transitions to a new asset management system. This role will help to consolidate data sets, improve data quality, enhance data analysis, optimize business processes and guide innovative and strategic planning. The role will give PF&R the ability to harness the power of data for strategic decision-making, operational efficiency, and improved service value.

**Major Responsibilities**:

- Implements detailed plans and recommends policies/procedures regarding program specific requirements.
- Collaborate, motivates and trains staff, ensuring effective teamwork, high standards of work quality and organizational performance, continuous learning and encourages innovation in others.
- Leads tasks and projects related to the modelling, analysis, and interpretation of divisional and other datasets including spatial data.
- Designs, tests, and builds complex models to solve complex divisional analytics problems, identifying opportunities for using advanced statistical and predictive modelling techniques.
- Investigates and implements cutting edge machine learning techniques.
- Develop, implement and evaluate work plans, carry out data migration plan defining the detailed tasks/ activities/ timeline required for the migration of data to Maximo in alignment with project implementation plan including: Test scripts, User acceptance testing plan of the migrated data etc.
- Works with various research methods.
- Builds processes and methods to ingest and analyze large datasets from structured and unstructured data sources such as GPS-probe data, sensor-based data, and other large datasets.
- Conducts peer and literature reviews on modelling and analysis techniques in tabular and spatial data science. Establishes and applies best practices in documenting processes, models, analyses, and code.
- Establishes and applies best practices in documenting processes, models, analyses, and code.
- Enables access to, and leverages, datasets by supporting data pipelines, build queries and ETLs/ELTs, and supports statistical and inferential analysis.
- Keeps abreast of the latest research in the relevant fields, spatial data analytics and machine learning.
- Makes recommendations and implement improvements to the system to optimize computation and storage resources for data.
- Prepares reports and submissions (e.g. briefing notes, staff reports, and other correspondences) for the Division and City Council.
- Works with internal and external partners and private sector collectors, disseminators and analysts to collect and analyze data on behalf of the Division and ensure that activities align with business requirements.
- Develops strategies to ensure information is available and accessible for stakeholders including Council, the public, and staff.
- Attends and presents at conferences and technical working groups, spatial analytics, data analysis, and/or machine learning.
- Fosters and maintains effective working relationships and networks with divisional staff, other government agencies, and other data science professionals.
- Ensures compliance with safety and security matters under Occupational Health & Safety legislation and Divisional safety and security policies.

**Key Qualifications**:

- Post-secondary education in a discipline pertinent to the job function or an equivalent combination of education and experience.
- Extensive experience designing and implementing Enterprise Asset Management (EAM) systems including planning, configuration, data migration, testing, training and go-live support. Experience with IBM Maximo considered an asset.
- Considerable experience facilitating sessions with stakeholders and coordinating cross-functional teams (IT, operations, maintenance, Capital etc.).
- Experience in extraction of data from source systems, transforming and cleansing source data as needed to ensure compatibility with IBM Maximo’s data structures and organization needs and standards.
- Highly developed written and oral communication skills including writing reports, briefing notes, and delivering presentations.
- Demonstrated extensive expertise in data management principles and practices, including data governance, data quality assurance, data integration, and data analysis
- Knowledge of current and emerging technologies.
- Familiarity with Toronto Public Servic

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