Analytics Engineer - AI & Semantic Modeling

Mogo; United States; Remote; USD 80,000 - 100,000; Full time

Job summary

Mogo is looking for an Analytics Engineer who is passionate about leveraging AI to bridge the gap between business and data. This position involves designing semantic data models in Snowflake to empower business analytics and improve AI-driven customer interactions. As part of a fully remote team, you will engage with stakeholders to ensure data clarity, quality, and actionable insights, driving financial decision-making. Ideal candidates will have a strong background in data analysis, with the ability to translate complex financial concepts into streamlined analytics solutions.

Benefits

Fully remote work

Comprehensive health and wellness benefits

Stock options

Flexible vacation policy

Qualifications

• 3–6 years of experience in data analytics, engineering, or related roles.
• Strong understanding of financial products and data modeling principles.
• Experience in working with BI tools and ETL processes.

Responsibilities

• Design and implement semantic models in Snowflake.
• Develop AI-powered chatbot for enhanced data access.
• Collaborate with stakeholders to ensure data usability.

Skills

Data Modeling

Communication

Stakeholder Engagement

Natural Language Processing

Education

Bachelor's degree in Computer Science or related field

Tools

Snowflake

Cortex Analyst

Looker

Python

Job description

Analytics Engineer - AI & Semantic Modeling

Analytics Engineer - AI & Semantic Modeling

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Job Title: Analytics Engineer - AI & Semantic Modeling

Location: Remote (Canada)

Department: Data & Analytics

Reports To: Manager, Data Integration & Architecture

Mogo is seeking an Analytics Engineer with a passion for bridging business and data through AI-powered solutions. You will play a central role in designing and implementing semantic data models in Snowflake, enabling our AI chatbot to answer complex business questions about our products. This is a business-facing role requiring strong communication skills, a deep understanding of financial data, and the ability to model and surface data in an intuitive, AI-ready way.

You will become the subject matter expert (SME) on Mogo’s business data, working closely with stakeholders to translate business logic into scalable semantic layers for Cortex Analyst, while also ensuring the underlying ETLs are understood and aligned with model requirements.

Base salary for this role: $80,000 - $100,000 CAD

What You’ll Do & Key Responsibilities

AI-Driven Data Access

• Co-develop an AI-powered chatbot that navigates Snowflake semantic models to answer business questions.
• Enable natural language access to analytics through Cortex Analyst, ensuring the semantic layer supports business needs.
  
  

Semantic Modeling & Data Abstraction

• Design and maintain business-aligned semantic models in Snowflake
• Serve as the bridge between raw data and self-service analytics, modeling entities, facts, and metrics that align with Mogo’s financial products.
  
  

Business Engagement & Domain Expertise

• Partner with stakeholders across different teams to understand KPIs, metrics, and operational context.
• Act as the SME for our business data, ensuring data quality, clarity, and usability for business users and AI tools.
• Proactively identify gaps in data or semantic logic and recommend solutions.
  
  

ETL Understanding & Support

• Investigate and document Python-based ETL pipelines that bring raw data into Snowflake.
• Collaborate with the Data Engineering team to ensure semantic models are built on accurate, well-understood foundations.
  
  

Culture & High Performance

• Embody and model Mogo’s high-performance attributes: ownership, collaboration, innovation, speed, and impact.
• Share knowledge and best practices across teams to foster data-driven decision-making.
  
  

What You Bring:

• 3–6 years experience in a data analytics, analytics engineering, or data engineering role.
• Experience working with Snowflake, including semantic modeling and performance tuning.
• Familiarity with Cortex Analyst or similar natural language-to-SQL platforms.
• Experience working with BI reporting tools in the past, preferably Looker
• Strong grasp of data modeling principles, including entity-relationship modeling, metric layer design, and business logic mapping.
• Deep understanding of financial products, or a strong interest in acquiring this expertise quickly.
• Excellent communication and stakeholder engagement skills.
  
  

Preferred Qualifications

• Prior experience in a fintech or financial services environment.
• Exposure to Looker, dbt, or other semantic layer tooling.
• Competent Python skills, for supporting light data transformation and automation tasks.
  
  

Benefits Of Working With Us

• ALWAYS FULLY REMOTE WORK - Enjoy the flexibility of remote work, supported by necessary resources
• Comprehensive Health and Wellness - Access medical, dental, and vision coverage plus a Health Spending Account
• Stock Options - Have a stake in the company's success through stock options
• Flex Vacation - Benefit from paid time off, including vacation days, holidays, and personal days
• Wellbeing Programs - Access counselling services, mental health support, and additional wellness resources
  
  

About Us

We help make it easy for Canadians to achieve financial freedom while making a positive impact.

We live in the most innovative and technologically advanced era, yet so much struggle exists. Most of us are far from where we want to be financially.

We all want a better future. A better world where reaching financial freedom is a question of when, not if. One that's equitable so that all can prosper. One that's safe from the impact of climate change.

Our money has the power to change the world. It’s up to us to do things differently.

Apply today! Do you know anyone who would be a great fit for this role or other roles on our career page? Please share this job posting with them! Mogo is an inclusive place to spend your work life. We hire team members for their talent and diverse backgrounds. Bring your unique perspective to Mogo and help our customers achieve their best financial lives.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology

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