Data Analyst

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Mogo

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2003

💳 Fintech

💸 Finance

🛍️ eCommerce

💰 Series C on 2014-12

Fintech • Finance • eCommerce

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.

📋 Description

• 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.

🎯 Requirements

• 3–5 years of experience in Business Intelligence, Data Analytics, Analytics Engineering, or a related field. • Strong SQL skills with experience designing analytical data models. • Product analytics instincts — comfortable with funnel analysis, segmentation, cohort analysis, and customer behavior analysis. • Ability to connect user-level behavior to business outcomes like conversion, funding, repayment, retention, revenue, and operational efficiency. • Experience with Snowflake, Looker, or similar modern analytics platforms. • Solid understanding of dimensional modeling, KPI design, and reporting best practices. • Strong judgment on data reliability — you know when a metric is ready to use and when it isn't. • Comfortable working with imperfect or evolving data and creating clarity from ambiguity. • Strong communication skills — you can explain technical concepts clearly to non-technical stakeholders. • Comfortable managing multiple priorities and working directly with business stakeholders. • Genuinely curious about AI tools and actively uses them to improve your own productivity and output quality.

🏖️ Benefits

• 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