4 results for It Business Intelligence Analyst in Etobicoke, ON

Database Analyst

Thornhill, ON
onsite
Permanent
50000 - 76000 CAD / Yearly
We are looking for a Database Analyst to support data-driven decision-making for a service-focused organization in Thornhill, Ontario. This role combines database expertise with business insight to turn complex information into clear reporting, campaign analysis, and practical recommendations. The successful candidate will work closely with cross-functional teams to interpret data, evaluate performance, and develop meaningful analytics solutions. Responsibilities: • Analyze marketing and customer data to identify trends, measure campaign results, and provide actionable business insights. • Build, maintain, and optimize database queries and data sets to support reporting, segmentation, and performance analysis. • Develop dashboards and visual reports using tools such as Power BI or Tableau to communicate findings effectively to stakeholders. • Partner with business teams to translate analytical needs into structured reporting and data solutions that support decision-making. • Design and assess tests and experiments to evaluate initiatives, validate assumptions, and improve future campaign performance. • Use programming and database tools to manage large enterprise data environments and ensure reliable access to information. • Prepare clear summaries and presentations that connect analytical results to business objectives for both technical and non-technical audiences. • Support data initiatives involving SQL-based environments, including work completed through SQL Server Management Studio and related platforms when required.
2026-07-28T00:00:00Z

Data Scientist

North York, ON
onsite
Permanent
100000 - 115000 CAD / Yearly
This job posting is for a current vacancy with our client. We are seeking an experienced Data Scientist for our client's growing Analytics team. The Data Scientist will be based in Toronto, Ontario, where they will turn complex data into practical insights that support business decisions. A core focus of this role includes machine learning expertise, data engineering capability, and analytical thinking to develop scalable solutions in a Databricks environment. You will work closely with technical and business teams to build reliable models, improve data workflows, and communicate findings in a clear and meaningful way. Key Responsibilities:• Develop, implement, and operationalize machine learning models and analytical solutions within Databricks to address business needs.• Create and support scalable data pipelines using Apache Spark, including PySpark or Scala, to process large and diverse datasets efficiently.• Examine both structured and unstructured data sources to identify trends, generate forecasts, and support data-driven decision-making.• Partner with engineers, analysts, and business stakeholders to define objectives and translate them into practical data science solutions.• Use Lakehouse principles in Databricks to manage data ingestion, transformation, storage, and model deployment in a streamlined manner.• Apply disciplined machine learning practices across feature creation, model training, testing, deployment, and ongoing performance monitoring.• Produce dashboards, visual summaries, and reports that present analytical results clearly for technical and non-technical audiences.• Maintain strong standards for data accuracy, governance, security, and compliance throughout analytics and machine learning workflows.• Improve the performance, scalability, and cost effectiveness of Databricks processing and model execution environments.
2026-08-18T00:00:00Z

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. Responsibilities: • Design and refine statistical and machine learning models that link market trends with sales and inventory analysis. • Analyze data pipelines and reporting inputs to ensure reliable information is available for modelling and performance evaluation. • Build, test, and interpret models in Python using notebook-based workflows to support business analysis. • Measure model outcomes using appropriate performance indicators and recommend adjustments to improve analytical value. • Partner with business and analytics stakeholders to translate commercial questions into practical modelling approaches. • Use BI and low-code analytical tools to present findings in a clear and decision-focused manner. • Explore large-scale datasets using relevant big data and cloud technologies to uncover patterns and support forecasting activities.
2026-08-12T00:00:00Z

Data Analyst - Validation & Migration

Etobicoke, ON
onsite
Temporary
45 - 65 CAD / Hourly
Data Analyst - Data Validation & Migration Our client is undertaking a significant enterprise transformation to consolidate multiple legacy billing systems into a modern billing platform. They are seeking a hands-on Data Analyst - Data Validation & Migration to support data quality, migration preparedness, reconciliation, and validation activities throughout the implementation.This role will work closely with business stakeholders and IT teams to ensure critical customer, product, contract, invoice, and pricing data is accurate, complete, and migration-ready. Duration: Through December 2026, with potential extensionLocation: Hybrid, Greater Toronto Area Key Responsibilities<ul><li>Assess and validate data from multiple legacy systems to identify quality issues, inconsistencies, duplicates, and gaps.</li><li>Analyze customer, product, contract, invoice, payment, credit, and pricing data to support migration activities.</li><li>Partner with business stakeholders to resolve data discrepancies and establish data governance rules.</li><li>Work closely with IT teams to define data requirements, validation criteria, and transformation rules.</li><li>Support data cleansing, normalization, and deduplication efforts.</li><li>Review and validate source-to-target mappings and migration outputs.</li><li>Perform reconciliation activities including record counts, balances, financial totals, and exception reporting.</li><li>Participate in migration testing, cutover preparation, and post-migration validation.</li><li>Maintain detailed documentation of data issues, remediation decisions, and validation results.</li><li>Act as a bridge between business and technical teams to ensure successful migration outcomes.</li></ul>
2026-08-18T00:00:00Z