Analytics Engineer

Assent; Ottawa; Remote; CAD 80,000 - 100,000; Full time

Job summary

A leading tech company in Ottawa is seeking a curious and collaborative Analytics Engineer to join the Revenue Analytics team. The role involves architecting scalable data infrastructures and creating data models to drive business insights. Ideal candidates will have 5+ years in data analytics, experience with tools like SQL and Tableau, and a passion for data-driven decision-making. This position offers a competitive salary, benefits, and remote work options.

Benefits

Flexible work options

Comprehensive benefits package

Professional development days

Qualifications

• 5 years experience in data science or analytics roles preferably in B2B SaaS.
• Proven ability to balance statistical rigor with decision-making.
• Experience in generating insights from data to influence business strategy.

Responsibilities

• Engineer and maintain scalable data pipelines across the business.
• Architect clean data models for business dashboards and analytics.
• Collaborate with various teams to deliver actionable insights.

Skills

Data Analytics

SQL

Tableau

GenAI applications

Python

Education

Bachelor's or Master's degree in Computer Science, Data Engineering or related discipline

Tools

Snowflake

AWS

Kubernetes

Job description

At Assent were committed to empowering the worlds most forward-thinking companies to deepen trust with their customers supply chains and communities. Were looking for a curious collaborative and technically sharp Analytics Engineer to join our Revenue Analytics teama strategic arm of Revenue Operations at the heart of our Go to Market organization.

This role is for a mid-career data professional who thrives on solving meaningful challenges in a modern data stack. Youll be instrumental in scaling our data infrastructure driving forward analytics maturity and enabling predictive and generative insights that shape revenue strategy. With strong experience in GenAI machine learning and large language models youll help shape how we extract more signals from our data.

Responsibilities

• Engineer scalable data infrastructure: Design build and maintain robust performant and scalable data pipelines that integrate and transform data from across the business.
• Elevate data modeling: Architect clean reliable data models that feed core business dashboards analytics and machine-learning applications.
• Bridge teams with insight: Collaborate with analysts data scientists revenue leaders and stakeholders across GTM to deliver models and insights that drive better decisions.
• Champion data quality: Apply rigorous data validation and error-handling practices to ensure trust in our analytics layer.
• Optimize performance: Monitor and tune data pipelines for speed and reliability; anticipate growth and ensure systems are future-ready.
• Contribute to AI-driven innovation: Help incorporate GenAI tools and ML workflows that enhance forecasting personalization and operational insight across Revenue Operations.
• Lead and mentor: Support junior team members and elevate Assents data culture by sharing best practices and leading with empathy.
• Document and scale: Create approachable scalable documentation and self-serve resources for data consumers across the company.
• Shape our data strategy: Stay on top of data engineering trends and bring your perspective to technical and architectural decisions.

Qualifications

• 5 years experience in data science advanced analytics or full-stack analytics roles preferably in a B2B SaaS environment.
• Proven ability to translate data into strategy and balance statistical rigour with pragmatic decision-making.
• Advanced expertise in SQL DBT and modern data warehousing (Snowflake preferred).
• Strong proficiency in Python for analysis modeling and GenAI applications.
• Solid understanding of data infrastructure and pipeline orchestration including CI / CD Git and Python scripting.
• Hands-on experience with Tableau (or equivalent BI tools); exposure to tools like AWS Kubernetes or orchestration frameworks is a bonus.
• A deep curiosity for how data drives growth and how analytics can influence outcomes at every stage of the customer journey.
• Demonstrated exposure to generative AI ML models or LLMs with practical experience in deploying them in analytics or business use cases.
• Demonstrated experience working cross-functionally with Sales Marketing CS and Finance teams.
• A collaborative spirit strong communication skills and the ability to simplify complexity for non-technical audiences.
• A Bachelors or Masters degree in Computer Science Data Engineering or a related disciplineor equivalent practical experience.

Life at Assent

Wellness: We believe that you and your familys well being is important. As a result we offer vacation time that increases with tenure comprehensive benefits packages (details vary by country) life leave days and more.

Financial Benefits: Its not all about the money well its a little about the money. We understand that financial health is important and we offer a competitive base salary a corporate bonus program retirement savings options and more.

Life at Assent: There is purpose beyond your work. We provide our team members with flexible work options volunteer days and opportunities to get involved in corporate giving initiatives.

Lifelong Learning: At Assent curiosity is not only valued but encouraged. You will receive professional development days that are available to you the day you start.

At Assent we are committed to growing and sustaining an environment where our team members feel included valued and heard. Our diversity and equal opportunity practices are guided and championed by our Diversity and Inclusion Working Group and our Employee Resource Groups (ERGs).

Our commitment to diversity equity and inclusion includes recruiting and retaining team members from diverse backgrounds and experiences and fostering a culture of belonging where all team members are included treated with dignity and respect promoted on their merits and placed in positions to contribute to business success.

If you require assistance or accommodation throughout any part of the interview and selection process please contact and we will be happy to help.

Remote Work

Yes

Employment Type

Full-time

Key Skills

Adobe Analytics,Data Analytics,SQL,Attribution Modeling,Power BI,R,Regression Analysis,Data Visualization,Tableau,Data Mining,SAS,Analytics

Department / Functional Area : Sales

Experience : years

Vacancy : 1