2 results for It Business Intelligence Analyst in Waterloo, ON
Data Scientist
- Cambridge, ON
- onsite
- Temporary
-
55.4135 - 64.163 CAD / Hourly
- We are looking for a Data Scientist to join an automotive organization in Cambridge, Ontario on a Long-term Contract basis. This position centres on developing statistical and machine learning solutions that connect market information with sales and inventory performance. The successful candidate will combine strong analytical thinking with hands-on Python modelling to generate actionable business insights. You will work with modern data and BI tools to evaluate model effectiveness and strengthen data-driven decision-making.<br><br>Responsibilities:<br>• Design and refine statistical and machine learning models that link market trends with sales and inventory analysis.<br>• Analyze data pipelines and reporting inputs to ensure reliable information is available for modelling and performance evaluation.<br>• Build, test, and interpret models in Python using notebook-based workflows to support business analysis.<br>• Measure model outcomes using appropriate performance indicators and recommend adjustments to improve analytical value.<br>• Partner with business and analytics stakeholders to translate commercial questions into practical modelling approaches.<br>• Use BI and low-code analytical tools to present findings in a clear and decision-focused manner.<br>• Explore large-scale datasets using relevant big data and cloud technologies to uncover patterns and support forecasting activities.
- 2026-08-12T00:00:00Z
Data Engineer
- Guelph, ON
- onsite
- Permanent
-
90000 - 110000 CAD / Yearly
- <p>Robert Half is looking to hire a Data Engineer for a current opening with an organization that is rapidly expanding. Please take a look at the summarized information below and apply if you are a good fit!</p><p><br></p><p>Role: Data Engineer</p><p>Location: KW Region</p><p>Industry: Confidential</p><p>Compensation: $90k to $110k + Bonus + Vacation / PTO + Strong Benefits + Great work culture!</p><p>Requirements:</p><p>• Data engineering and pipelines: Hands-on experience with Microsoft Fabric, Lakehouse, Data Factory, Dataflows Gen2, notebook development, enterprise data integration, pipeline orchestration, and cloud-based analytics architectures. </p><p>• SQL and data modelling: Proficiency in data transformation, dimensional models, KPI implementation, curated datasets, performance tuning, and optimization. </p><p>• Python-based development: Utilization of Python for data processing, workflow automation, validation, quality controls, and operational data engineering. </p><p>• Reporting and governance enablement: Support for Power BI semantic models, curated datasets, data governance, lineage, operational documentation, and reliable and auditable data operations. </p><p>• Strategic fit: Alignment with enterprise reporting modernization, Microsoft Fabric expansion, and stronger data governance and analytics capabilities. </p>
- 2026-08-20T00:00:00Z
