Mogo (TSX: MOGO; NASDAQ: MOGO) — a financial technology company — is a digital challenger to the banks in Canada.
Our mission is to make it easy for Canadians to achieve financial freedom while making a positive impact.

Mogo

product-analyst

Mogo is a members-only wealth platform that focuses on intelligent investing principles rooted in value investing. It offers both private wealth management and a self-directed investing app, emphasizing a transparent membership model with no hidden fees. With a strong commitment to sustainability and social responsibility, Mogo allows its members to invest in ways that contribute to positive environmental impacts, such as reforesting efforts. The platform also harnesses AI technology to enhance investment research and analysis, empowering users to make informed investment decisions that align with their wealth-building strategies.

Mogo (TSX: MOGO; NASDAQ: MOGO) — a financial technology company — is a digital challenger to the banks in Canada. Our mission is to make it easy for Canadians to achieve financial freedom while making a positive impact.

• Own analytics for one of our core Orion product areas across Intelligent Investing, Orion’s wealth product, and Mogo, Orion’s lending product.
• Help the business understand customer behavior, product performance, funnel health, engagement, retention, risk, and operational friction.
• Analyze customer journeys across acquisition, onboarding, application flows, activation, funding, product usage, engagement, repayment, retention, support friction, and long-term customer behavior.
• Connect customer data, product behavior, survey feedback, engagement signals, marketing data, financial data, risk data, and operational data into a unified view of what is happening.
• Build datasets, dashboards, and definitions that become part of how Orion operates.
• Analyze marketing and funnel performance, including source quality, conversion, activation, retention, and downstream customer value.
• Identify where customers are dropping off, where the product is creating friction, where reporting is misleading, and where business performance is improving or deteriorating.
• Help teams understand the relationship between customer behavior, product experience, business performance, and long-term outcomes.
• Surface insights, risks, and opportunities before they become obvious.
• Define, standardize, and document KPIs so teams are making decisions from consistent and trusted metrics.
• Translate complex business logic into scalable, reusable data structures that support consistent reporting across teams.
• Use AI aggressively to accelerate analysis, automate manual work, improve documentation, generate analytical workflows, and raise the quality and speed of your outputs.
• Work with Product and Engineering to ensure key customer events, product flows, and business processes are instrumented correctly and available for analysis.
• Develop and maintain SQL to support reporting, analytics, and operational decision-making.
• Design, develop, and maintain semantic data models in Snowflake or similar platforms.
• Contribute to data modernization initiatives, including redesigning existing reporting pipelines and improving analytical datasets.
• Work with Data Engineering and Architecture to ensure analytical datasets are reliable, scalable, governed, and well-documented.
• Apply best practices for testing, monitoring, documentation, and data quality.
• Identify missing, inconsistent, or unreliable data before it becomes embedded in business reporting.
• Support the integration of analytical assets into Orion’s broader data platform.
• Bring ownership, intensity, and a bias toward action. Challenge unclear metrics, weak assumptions, inconsistent definitions, and reporting that does not reflect business reality. 
• Operate as a business partner, not a report-builder. Share knowledge and strengthen analytical capability across the team. 
• Grow into more complex product analytics, data modeling, platform, and AI-powered analytics work over time.

Product Insights Analyst

Product Insights Analyst at Orion analyzing product performance and customer behavior data across financial platforms. Utilize AI and analytics to drive decision-making and insights.

trader

• Take IntelligentInvesting Securities Inc. member’s buy/sell orders, made through our app, for stocks, ETFs and other investment products, and write trade tickets
• Verify sufficient information has been provided in order to process a trade
• Ensure member orders are tagged correctly and executed as per instructions
• Provide customer service to our members on the phone, through email, and chat
• Confirm member identity in order to ensure instructions can be executed
• Process member instructions with regard to voluntary re-orgs
• Input member instructions with regard to changes in registered account beneficiaries
• Complete internal account transfers and transfers in/out of securities from/to external institutions
• Check and investigate buy/sell orders and report back to members
• Ensure proper settlement and delivery, escalating any discrepancies as required
• Maintain accurate daily records of trades
• Perform daily reconciliations with our Custodian

Licensed Trader

Licensed Trader executing buy/sell orders and providing customer support in a fintech environment. Collaborating with Compliance and Operations to enhance client experiences.

data-analyst

• Own the full Lending analytics domain — from acquisition and application funnel through approval, funding, repayment, retention, and support — building the reporting foundation that helps leaders understand who uses the product, how, and where performance is improving or breaking down.
• Connect marketing, product, risk, operations, and financial data into a unified view of customer and business performance, ensuring insights reflect the full picture rather than isolated metrics.
• Design, develop, and maintain semantic data models in Snowflake that translate complex business logic into scalable, reusable structures powering consistent self-service reporting across teams.
• Build dashboards and analytical views that surface trends, friction points, and opportunities proactively — flagging issues in the funnel, product experience, or operational process before they become larger problems.
• Partner with Finance, Product, Risk, and Operations to deeply understand KPIs, business processes, and reporting needs; ensure data definitions and metrics remain standardized and trusted across teams.
• Support Wealth analytics as a secondary area, ensuring reporting approaches stay consistent across Orion's broader financial platform.
• Actively leverage AI tools (such as Claude, Copilot, Cursor, or similar) to accelerate analysis, automate repetitive work, and raise the quality and speed of your outputs.
• Develop and maintain SQL to support reporting, analytics, and operational decision-making.
• Contribute to data modernization initiatives, including redesigning existing reporting pipelines.
• Partner with Data Engineering and Architecture to ensure analytical datasets are reliable, scalable, and well-governed.
• Apply best practices for testing, monitoring, documentation, and data quality.
• Support the integration of analytical assets into Mogo’s broader data platform.
• Share knowledge and help strengthen analytical capabilities across the team.
• Grow into more senior responsibilities over time, including ownership of more complex modeling and AI-powered analytics initiatives.

Data Analyst

AI-native product/data analyst driving Lending insight quality and connecting customer behavior to business performance at Orion. Leveraging advanced analytics and AI tools for strategic decision-making.

Mogo

About the company

Open jobs

3 jobs found

Product Insights Analyst

Mogo

Licensed Trader

Mogo

Data Analyst

Mogo