Senior Analyst, Risk & Control with 3–5 years of relevant experience and strong technical expertise in data analysis, SQL, and Power BI to support Credit Risk reporting, business intelligence initiatives, and risk oversight.
Compensation
The expected salary range for this position is $65,000 to $75,000 CAD, based on the candidate’s work location.
Responsibilities
Develop, enhance, and maintain Power BI dashboards and management reports
Extract, analyze, and reconcile complex datasets using SQL, Power BI, and Excel
Conduct thorough testing and validation of BI reports
Identify data inconsistencies and recommend improvements
Support preparation and enhancement of Credit Risk dashboards and operational performance reporting
Requirements
Bachelor's degree in Data Analytics, Information Systems, Computer Science, Finance, Business, or a related field
Lead key initiatives across authentication, feature access, account recovery, and cross‑platform experience, while guiding the evolution of Mozilla’s payments platform.
Lead end‑to‑end delivery of key accounts initiatives, including passwordless authentication and improvements to the authentication and account recovery experience across platforms.
Manage the Mozilla Accounts and Subscription Platform product roadmap, setting clear priorities aligned to strategic goals and driving focused execution.
Guide improvements to Mozilla’s subscription platform across payments, entitlements, and metering, partnering with product teams to support their subscription offerings.
Seek out and leverage data and user insights and market research to drive impact through experimentation.
Partner closely with engineering, UX, and cross‑functional teams to maintain a focused, outcome‑driven backlog.
Lead and manage a team of customer service ambassadors, driving performance, coaching, and operational excellence for Airbnb’s Premium Support service.
Drive technical outcomes by managing and resolving complex enterprise customer billing escalations through advanced diagnosis, analysis, and troubleshooting expertise.
Drive technical outcomes by managing and resolving complex enterprise customer billing escalations through advanced diagnosis, analysis, and troubleshooting expertise.
Contribute to relationship management across several projects and stakeholders as a key technical contributor, providing technical solution strategy to business, account management, and enterprise customers.
Uncover trends in customer issues and business objectives, and proactively create innovative solutions to address them in partnership with Product and Developing teams.
Influence product direction and advocate for customer needs by translating complex technical challenges into actionable strategies for cross-functional teams like Product Management and Software Developers.
Develop an in-depth understanding of underlying architectures to determine root causes, and write code to build customized technical solutions and internal tools that scale diagnostic capabilities globally.
Requirements
Bachelor's degree in Engineering, Computer Science, a related technical field, or equivalent practical experience
Lead analysis and reporting for Treasury’s Asset and Liability Management team, developing models, managing risk measurement, and supporting strategic decision-making.
Compensation
$81,600 - $115,200 CAD
Responsibilities
Develop and maintain financial models for risk measurement
Analyze asset and liability portfolios and support forecasts
Document and maintain applications and implement changes
Seeking an applied workforce scientist who combines advanced quantitative methods, employee listening analytics expertise, and business judgment to reveal how employees experience the organization and what most influences engagement, culture, retention, and organizational health.
Compensation
Base Pay Range for this position $122,100 - $162,800
Responsibilities
Build and validate statistical and machine learning models (regression, classification, survival analysis, clustering, key-driver analysis) to explain and predict engagement, retention, culture, and organizational health outcomes.
Design rigorous analyses, including quasi-experimental and causal inference approaches, to assess the impact of programs, leader actions, and listening interventions.
Apply survey science and psychometrics, including sampling, weighting, reliability, validity, and measurement invariance, to maintain the credibility of listening data.
Conduct open-ended discovery to test hypotheses, explore anomalies, and identify previously unseen relationships.
Use Python or R and SQL to integrate, transform, and analyze survey, lifecycle, HRIS, operational, and business data at enterprise scale.
Requirements
Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, Economics, Industrial-Organizational Psychology with a quantitative focus, or a related field
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