3 results for Senior Business Intelligence Analyst in Waterloo, ON

Sr. Financial Analyst

Mississauga, ON
remote
Permanent
95000 - 100000 CAD / Yearly
Our client is seeking a Senior Financial Analyst to join their growing finance team. This role combines corporate accounting, financial reporting, consolidations, cash flow forecasting, and systems-focused projects, offering exposure to both traditional accounting and finance transformation initiatives. Key Responsibilities<ul><li>Manage full-cycle accounting for multiple holding companies.</li><li>Prepare journal entries, reconciliations, accruals, and month-end working papers.</li><li>Support month-end, quarter-end, and year-end close processes.</li><li>Prepare and maintain consolidated cash flow forecasts and assist with treasury reporting.</li><li>Coordinate annual audit requirements and support external auditors.</li><li>Assist with consolidated financial reporting, intercompany reconciliations, and elimination entries.</li><li>Prepare financial analysis, reporting packages, and variance analysis for senior leadership.</li><li>Identify opportunities to improve and automate accounting and reporting processes.</li><li>Support the maintenance and enhancement of NetSuite, Salesforce, reporting platforms, and finance data systems.</li><li>Assist with business intelligence, data analytics, and AI-enabled reporting initiatives.</li></ul>
2026-08-12T00:00:00Z

Sr. Financial Analyst - FP&A

Mississauga, ON
onsite
Temporary
90000 - 100000 CAD / Yearly
Interim Senior Financial Analyst, FP&ALocation: Oakville, ONWork Model: Primarily onsite (4–5 days/week)Term: 24 - month contractCompensation: $90-$100K (per annum) Position OverviewOur client is seeking a Senior Financial Analyst, FP&A for a 2-year contract opportunity. This role will support enterprise planning, forecasting, management reporting, and financial analysis across a diverse group of business units.This is an individual contributor role suited to a finance professional with strong modeling capability, experience working in a multi-entity environment, and the ability to turn large volumes of financial and operational data into clear, actionable insight. Key Responsibilities<ul><li>Support budgeting, forecasting, and longer-range planning activities across multiple business units</li><li>Build, update, and maintain financial models covering income statement, balance sheet, cash flow, and capital spending assumptions</li><li>Analyze monthly and quarterly performance against budget, forecast, and prior periods, highlighting key drivers, trends, risks, and areas of opportunity</li><li>Prepare recurring management reporting, dashboards, KPI packages, and presentation materials for leadership stakeholders</li><li>Deliver ad hoc analysis related to operations, pricing, margins, productivity, and business case development</li><li>Partner with finance, accounting, and operational leaders to validate assumptions, interpret performance, and support business decisions</li><li>Maintain and improve reporting tools, planning templates, and model structures to support consistency and efficiency</li><li>Assist with process improvements, automation initiatives, and standardization efforts across FP&A activities</li><li>Work with large and varied data sets, including extraction, validation, reconciliation, and documentation of reporting logic</li></ul>
2026-08-19T00:00:00Z

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