Product Insights Analyst

Mogo

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.

Posted 7/11/2026full-timeRemote • 🇨🇦 CanadaMid-LevelSenior💰 CA$75,000 - CA$90,000 per yearWebsite

Tech Stack

Tools & technologies

SQLTableau

About the role

Key responsibilities & 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.

Requirements

What you’ll need

3–5 years of experience in Business Intelligence, Data Analytics, Product Analytics, Analytics Engineering, or a related field.
Strong SQL skills with experience designing analytical data models.
Strong product analytics instincts, including funnel analysis, segmentation, cohort analysis, customer journey analysis, survey analysis, and behavioral analysis.
Ability to connect user-level behavior to business outcomes such as conversion, engagement, retention, revenue, repayment, operational efficiency, risk, customer lifetime value, or long-term product performance.
Experience with Snowflake, Looker, Tableau, Power BI, or similar modern analytics platforms.
Solid understanding of dimensional modeling, KPI design, and reporting best practices.
Strong judgment. You can distinguish signal from noise, challenge misleading metrics, and explain what the business should do next.
Strong judgment on data reliability. You know when a metric is ready to use and when it is not.
Comfort working with imperfect or evolving data and creating clarity from ambiguity.
Strong communication skills. You can explain technical concepts clearly to non-technical stakeholders.
Comfort working directly with Product, Engineering, Finance, Risk, Marketing, Operations, and other business teams.
Cutting-edge use of AI in your analytical workflow. You use AI daily to move faster, eliminate manual work, improve quality, and increase your personal output.
A clear point of view on which parts of analytics work should no longer be done manually.

Benefits

Comp & perks

Fully Remote Work - Unless otherwise specified in the job posting, Orion offers flexible remote work, supported by the tools and resources needed to succeed.
Comprehensive Health Benefits - Access to medical, dental, and vision coverage plus a Health Spending Account
Stock Options - Meaningful equity participation aligned with long-term value creation and company growth
Flex Vacation - Benefit from paid time off, including vacation and personal days
Wellbeing Programs - Access counselling services, mental health support, and additional wellness resources

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

Data AnalyticsBusiness IntelligenceKPI DesignCohort AnalysisBehavioral AnalysisSegmentationCustomer Journey AnalysisReporting Best PracticesDimensional ModelingSurvey Analysis

Soft Skills

Strong CommunicationJudgment on Data ReliabilityAbility to Work with AmbiguityOwnership and IntensityCollaboration with Cross-Functional Teams