Senior Analyst, Home Financing Product & Campaign Analytics - C$50 - C$55 An Hour (Toronto)

Senior Analyst, Home Financing Product & Campaign Analytics - C$50 - C$55 An Hour (Toronto)

01 Aug
|
Releady
|
Toronto

01 Aug

Releady

Toronto

OVERVIEW We are seeking an experienced Senior Data & Reporting Analyst with a strong background in data analytics, reporting, and business intelligence to support Home Financing product and campaign analytics initiatives. The successful candidate will partner closely with business, product, and analytics stakeholders to translate complex business questions into actionable insights and decision-support solutions. This role is ideal for a proactive, analytically driven professional who thrives in structured environments, is comfortable working with large datasets, and excels at delivering high-impact analytics in a regulated financial services context. Location: Toronto, ON (Hybrid – 2 days in office per week; Mondays/Wednesdays preferred) Contract Length: 12 Months (Extension and/or FTE Conversion Possible) Hours: 9:00 AM – 5:00 PM (Monday–Friday) Pay Rate: $50-55/hour RESPONSIBILITIES Analytics Strategy & Business Advisory Act as a trusted analytics advisor to assigned business and product stakeholders. Consult on analytical solutions to support business strategy, campaign effectiveness, and product performance. Break down complex, strategic business problems into structured analytical approaches and recommendations. Ensure alignment between stakeholder business needs and data/analytics capabilities. Data Analysis, Reporting & Visualization Lead the design, development, and implementation of advanced analytics and reporting solutions. Design and produce regular and ad-hoc reports, dashboards, and visualizations for diverse audiences. Structure and assemble multi-dimensional datasets across varying levels of granularity (e.G., customer, product, transaction, demographic).



Integrate data from multiple sources to enable enhanced insights and streamlined reporting. Data Engineering, Modeling & Validation Cleanse, manipulate, and transform data using SQL, SAS, and scripting techniques. Validate, test, and assess analytics models to ensure performance, quality, and compliance. Automate validation tests to improve efficiency and data quality. Apply measurement techniques such as A/B testing and treatment/control frameworks. Analytics Enablement & Automation Promote reporting automation and self-serve analytics adoption. Support the development of analytics roadmaps, data quality strategies, and reporting standards. Develop tools and training materials to enable non-technical users to consume analytics effectively. Monitor tool performance, support UAT, and address adoption or usability issues. Collaboration, Documentation & Governance Collaborate with internal and external stakeholders to deliver analytics initiatives aligned with business objectives. Document analytical processes, methodologies, and operational procedures. Provide specialized consulting and technical support as required. Exercise independent judgment to diagnose and resolve non-routine analytical and reporting challenges.



QUALIFICATIONS Must-Have 5+ years of progressive experience in data analytics, reporting, or business intelligence. Strong hands‑on experience with SQL and SAS (SAS certification required). Demonstrated experience in data preparation, statistical analysis, and model validation. Strong understanding of analytics measurement methodologies (e.G., A/B testing, treatment/control). Advanced data storytelling, visualization, and insight communication skills. Ability to work independently and manage multiple priorities in a quick‑paced environment. Technical & Professional Skills Analytical and problem‑solving skills – In-depth Data‑driven decision making – In-depth Verbal & written communication – In-depth Stakeholder influence and advisory skills – In-depth Collaboration and cross‑functional teamwork – In-depth NICE TO HAVES Prior experience in home financing , including mortgages or HELOCs , within a banking environment. RESL analytics experience. Previous experience in regulated financial institutions. Experience leading or supporting analytics projects end‑to‑end. Exposure to R, Python, Power BI, and PowerPoint . EDUCATION Post‑secondary degree in Business, Economics, Finance, Computer Science, Data, or Analytics (or related discipline). We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or other non‑merit factor. We are committed to creating a diverse and inclusive environment for all employees. #J-18808-Ljbffr

📌 Senior Analyst, Home Financing Product & Campaign Analytics - C$50 - C$55 An Hour (Toronto)
🏢 Releady
📍 Toronto

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