Hands‑on engineering role focused on designing, building, deploying, and improving automation, integrations, software, and AI‑enabled solutions that reduce avoidable support demand and employee effort.
Locations (3)
Center Valley, Pennsylvania, United States
Las Vegas, Nevada, United States
Toronto, Canada
Responsibilities
Partner with the VP and Support subject‑matter experts to translate prioritized contact reduction opportunities into clear technical requirements and solution options.
Validate feasibility using contact data, workflow observations, system behavior, and operational metrics; challenge assumptions when opportunities differ in practice from initial expectations.
Determine the simplest and most reliable intervention across software, integrations, workflow automation, self‑service, and AI, including recommending alternatives when automation is not the appropriate solution.
Provide architecture, effort, dependency, risk, and build‑versus‑buy recommendations to inform portfolio prioritization and investment decisions.
Personally design, code, test, deploy, and support production‑grade automations, services, integrations, workflows, internal tools, and AI‑enabled applications.
Provides analytical support for flyer and promotional planning, optimizing promotional strategies to drive incremental sales and margin through data-driven insights.
Support investment operations across public and private markets, focusing on collateral management, transaction settlements, investment accounting and operational controls.
Responsibilities
Oversee daily investment operations workflows
Support investment closings
Provide oversight and support for collateral management activities
Monitor and resolve margin disputes, reconciliation breaks, settlement issues and collateral discrepancies
Support investment accounting, financial reporting and valuation reviews
Requirements
Undergraduate degree or college diploma in a related field
Senior Data Analyst responsible for designing, developing, and maintaining modern data solutions, including ETL/ELT pipelines, data warehouses, and machine learning models in cloud environments.
Locations (3)
Quebec, Quebec, Canada
Montreal, Quebec, Canada
Toronto, Ontario, Canada
Compensation
The typical hiring range for this position is between $110,000 and $130,000. Base salary may vary depending on knowledge, skills, years of experience, and internal equity.
Responsibilities
Design, develop, and maintain robust, secure, and high-performing ETL/ELT data pipelines
Implement modern data management solutions such as data warehouses, data marts, and data lakes
Develop, test, and deploy data solutions and machine learning models in Azure and GCP
The IBMi Application Developer will complete SDLC development deliverables and provide application support for IBMi systems within a retail environment.
Compensation
$76,400.00 - $114,600.00
Responsibilities
Complete all SDLC development deliverables that were defined as in scope within the agreed upon timelines
Provide regular cadence updates and adhere to all formal project management requests
Provide Second Line IBMi Application Support as required during regular business hours
Provide after hours Third Line IBMi Application Support on a rotational basis
Work after hours for planned and unplanned outages as required
Senior Associate in Deals Real Assets focusing on data engineering and digital solutions for capital projects.
Compensation
The salary range for this position is $60,000 - $100,100.
Responsibilities
Architect, design, and develop robust, end-to-end data pipelines utilizing Azure Data Factory, Azure Databricks, and Azure Synapse Analytics
Design and implement data models within Azure Data Lake, leveraging Medallion Architecture and building complex business logic into scalable, efficient transformations
Develop processes to ingest data from relational databases, APIs, flat files, and project management systems
Automate data workflows and implement CI/CD practices for data pipelines using Azure DevOps or GitHub Actions
Monitor, troubleshoot, and optimize data solutions for performance, scalability, and cost-effectiveness
Requirements
Bachelor's degree in Computer Science, Engineering, Information Technology, or related field
Lead analytics work within the Surgical and Medical Imaging sectors, developing indicators, methodologies, and advanced analyses to support executive decision‑making and system improvement.
Responsibilities
Provide analytical leadership on quantitative and qualitative analyses of clinical and administrative data
Build strong relationships with internal and external stakeholders
Develop analytics plans, methodology protocols, and data acquisition and collection plans
Deliver rigorous, timely analytics products with briefing notes, presentations and reports
Support the Analytics Manager in setting timelines and priorities
Requirements
Masters degree in epidemiology, biostatistics, health sciences, industrial engineering or related fields
A newly created winter student position based in downtown Ottawa focusing on sourcing, tracking and benchmarking statistical data.
Compensation
The expected salary for this position is $22 per hour.
Responsibilities
Assist with the development, testing and maintenance of Power BI dashboards, reports and data models that support decision-making across Ottawa Tourism.
Prepare, clean, transform and integrate data from a variety of sources using tools such as Excel, Power Query, Power BI and Microsoft Fabric.
Support data quality and validation activities, including identifying missing, duplicate or inconsistent data, reconciling reported results to source data, and documenting data-quality issues.
Assist with the development and maintenance of semantic models, data flows and other reusable BI data assets that improve access to consistent, reliable organizational data.
Support the evaluation and integration of new data sources, including tourism, visitor, hotel, event, CRM, market and other business data.
Requirements
Post-Secondary education in a relevant quantitative or technical discipline (Business Analysis, Data Science, Statistics, etc.)