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8 results for Data Analysis Manager in Oakville, 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.<br><br>Responsibilities:<br>• Analyze marketing and customer data to identify trends, measure campaign results, and provide actionable business insights.<br>• Build, maintain, and optimize database queries and data sets to support reporting, segmentation, and performance analysis.<br>• Develop dashboards and visual reports using tools such as Power BI or Tableau to communicate findings effectively to stakeholders.<br>• Partner with business teams to translate analytical needs into structured reporting and data solutions that support decision-making.<br>• Design and assess tests and experiments to evaluate initiatives, validate assumptions, and improve future campaign performance.<br>• Use programming and database tools to manage large enterprise data environments and ensure reliable access to information.<br>• Prepare clear summaries and presentations that connect analytical results to business objectives for both technical and non-technical audiences.<br>• 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
  • 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 Scientist
  • North York, ON
  • onsite
  • Permanent
  • 100000 - 115000 CAD / Yearly
  • <p><strong><u>This job posting is for a current vacancy with our client.</u></strong></p><p><br></p><p>We are seeking an experienced Data Scientist for our client&#39;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. </p><p><br></p><p>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.</p><p><br></p><p>Key Responsibilities:</p><p>• Develop, implement, and operationalize machine learning models and analytical solutions within Databricks to address business needs.</p><p>• Create and support scalable data pipelines using Apache Spark, including PySpark or Scala, to process large and diverse datasets efficiently.</p><p>• Examine both structured and unstructured data sources to identify trends, generate forecasts, and support data-driven decision-making.</p><p>• Partner with engineers, analysts, and business stakeholders to define objectives and translate them into practical data science solutions.</p><p>• Use Lakehouse principles in Databricks to manage data ingestion, transformation, storage, and model deployment in a streamlined manner.</p><p>• Apply disciplined machine learning practices across feature creation, model training, testing, deployment, and ongoing performance monitoring.</p><p>• Produce dashboards, visual summaries, and reports that present analytical results clearly for technical and non-technical audiences.</p><p>• Maintain strong standards for data accuracy, governance, security, and compliance throughout analytics and machine learning workflows.</p><p>• Improve the performance, scalability, and cost effectiveness of Databricks processing and model execution environments.</p>
  • 2026-08-18T00:00:00Z
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
Financial Analyst
  • North York, ON
  • onsite
  • Permanent
  • 60000 - 75000 CAD / Yearly
  • <p><strong>The Accounting Analyst / Financial Analyst</strong> will support accurate and timely financial processing with a primary focus on retailer deductions, accounts receivable reconciliations, accruals, customer chargebacks, and month-end support. The role requires strong analytical judgment, disciplined follow-through, and the ability to work with internal teams, retailers, and principals to investigate discrepancies and resolve account issues efficiently. </p><p><br></p><p><strong>Key Responsibilities </strong></p><ul><li>Process retailer deductions in accordance with customer agreements, company financial policies, and established procedures. • Reconcile retailer deductions and customer account balances by verifying transactions, reviewing supporting documentation, and comparing system reports to the general ledger. </li><li>Prepare and maintain standard monthly accruals, reconciliations, and related supporting schedules. • Assist with month-end principal statements and respond professionally to internal and external inquiries regarding deductions, accruals, reconciliations, and account balances. </li><li>Investigate freight discrepancies, pricing issues, deductions, and customer chargebacks; identify root causes and coordinate with internal departments and customers to resolve disputed claims. </li><li>Perform day-to-day accounting transactions, including verifying, classifying, coding, and recording transactions accurately and on a timely basis. </li><li>Provide backup support to the Accounts Payable team, including invoice processing, coding, and payment preparation during absences and peak workload periods. </li><li>Support interim and year-end audit processes by preparing schedules, compiling documentation, and responding to audit information requests. </li><li>Maintain accurate financial records and ensure compliance with company policies, accounting standards, and internal control expectations. </li><li>Participate in process improvement initiatives to improve accuracy, efficiency, documentation quality, and issue-resolution turnaround times. </li><li>Perform other accounting and finance duties as assigned.</li></ul>
  • 2026-08-20T00:00:00Z
Collections Analyst II
  • Toronto, ON
  • onsite
  • Temporary
  • 25 - 27 CAD / Hourly
  • We are looking for a Collections Analyst II to join a long-term contract opportunity based in Toronto, Ontario. In this role, you will support business collections activities by following up on outstanding balances, addressing billing and payment concerns, and working with customers to establish practical repayment arrangements. This position suits someone who communicates confidently in Portuguese, works well with cross-functional teams, and can manage competing priorities in a fast-paced environment.<br><br>Responsibilities:<br>• Manage an assigned accounts receivable portfolio and track outstanding invoices to support timely payment collection.<br>• Contact customers regarding overdue balances, clarify account status, and encourage prompt resolution of unpaid amounts.<br>• Investigate billing questions and payment discrepancies by partnering with internal stakeholders such as sales, operations, and finance teams.<br>• Help develop and document payment arrangements for customers experiencing financial difficulty while aligning with company guidelines.<br>• Review aging reports regularly to identify collection risks, prioritize follow-up efforts, and support escalation where needed.<br>• Maintain accurate records of collection activity, account updates, and customer communications within internal systems such as Salesforce.<br>• Apply sound judgment when assessing a customer’s payment position and recommend appropriate next steps to reduce exposure.<br>• Contribute to process improvements by identifying recurring issues, supporting account adjustments, and promoting compliance with established policies.
  • 2026-08-19T00:00:00Z
Billing Analyst
  • Mississauga, ON
  • onsite
  • Temporary
  • 25 - 28 CAD / Hourly
  • We are looking for a detail-oriented Billing Analyst to join a construction-focused organization in Mississauga, Ontario on a Contract basis. In this role, you will support accurate invoicing and revenue tracking across active projects while working closely with project and finance teams. The successful candidate will bring strong billing experience, sound contract review skills, and hands-on knowledge of Jonas Construction Software.<br><br>Responsibilities:<br>• Create and issue client invoices by aligning billed amounts with contract terms, completed work, and project milestones.<br>• Use Jonas Construction Software to administer project billing records, monitor job costs, and maintain supporting contract information.<br>• Examine agreements, purchase documents, change requests, and authorizations to confirm billing accuracy and completeness.<br>• Track invoicing timelines across multiple projects and identify revenue that is ready to be billed but has not yet been processed.<br>• Prepare various billing formats, including progress-based invoices, time-and-material billings, and scheduled recurring charges.<br>• Respond to customer questions related to invoices, investigate discrepancies, and coordinate resolutions in a timely manner.<br>• Work with project managers and accounting staff to reconcile billing activity and ensure financial records remain accurate.<br>• Maintain organized documentation for contracts, invoice support, and related billing records for audit and reporting purposes.<br>• Review accounts receivable aging, follow up on overdue balances, and contribute to month-end and year-end reporting and reconciliations.
  • 2026-08-18T00:00:00Z
Data Warehouse Application Support
  • Thornhill, ON
  • onsite
  • Permanent
  • 65000 - 80000 CAD / Yearly
  • <p>We are looking for a Data Warehouse Application Support specialist to join a service-focused team in Thornhill, Ontario. This role supports data warehouse operations, reporting, and analytical processes while helping ensure data reliability and timely issue resolution. The successful candidate will combine strong technical expertise with clear communication, sound documentation practices, and the ability to work effectively in an Agile environment.</p><p><br></p><p>Responsibilities:</p><p>• Support day-to-day operation of data warehouse applications by investigating issues, resolving defects, and maintaining stable system performance.</p><p>• Develop and enhance Python-based scripts and processes to automate support activities, data handling, and operational tasks.</p><p>• Write and optimize SQL queries across Oracle and SQL Server environments to troubleshoot data issues and validate results.</p><p>• Build, update, and maintain dashboards, reports, and Power BI deliverables that support business visibility and decision-making.</p><p>• Monitor ETL workflows, including SSIS-related processes, to identify failures, coordinate fixes, and improve data flow reliability.</p><p>• Produce clear technical documentation for support procedures, reporting logic, recurring issues, and resolution steps.</p><p>• Collaborate with cross-functional teams in Agile delivery settings, participating in planning, tracking, and continuous improvement activities using tools such as JIRA.</p><p>• Contribute to quality assurance efforts by validating outputs, testing changes, and helping maintain high data accuracy standards.</p><p>• Provide project-based support and take the lead on assigned initiatives when required, ensuring deadlines and service expectations are met.</p>
  • 2026-07-28T00:00:00Z