Associate - Analytics Engineering

Location:
Toronto Metropolitan Area

Base Salary $120,000 – $133,000 (CAD)

Teragonia is the AI Operating System for Private Equity, helping sponsors and their portfolio companies turn fragmented operational data into decisions that move EBITDA. We operate in the highest-pressure segment of enterprise performance, where outcomes are time-bound by a 3 to 5 year hold period and execution velocity defines returns. Through Astradis™, our AI platform, we unify structured and unstructured data, generate prescriptive insights in near real time, and embed them directly into operating workflows with clear ownership and measurable impact.

We partner with PE firms managing more than US $400B in assets and are rapidly expanding globally.

Our work is measured in EBITDA outcomes. Across PE portfolio companies, we drive 3% to 5% EBITDA uplift, accelerate roll-ups through standardized data and KPI frameworks, and maintain continuous exit readiness with high-fidelity performance instrumentation. We are replacing episodic consulting with a compounding AI platform that scales expertise across companies, industries, and ownership cycles. Teragonia is built for high-agency builders who want early responsibility, direct exposure to world’s leading private equity firms and their portfolio CXOs, and the opportunity to help define the operating layer for value creation in the AI era.

Teragonia offers a comprehensive career development platform through cross-learning within our multidisciplinary structure. We nurture a diverse, inclusive, collaborative, respectful, and collegial environment. Our competitive compensation package aligns with the technology industry leaders, encompassing 401(k) contribution matching, medical insurance, and additional benefits.

Read more about our mission, vision, and values on our website:

• About Teragonia:
• Our Values:
• Our Purpose:

Teragonia’s VC&A division bridges finance, consulting, and technology to support portfolio companies. We combine consulting rigor and AI to address complex challenges and enhance enterprise value through platform solutions and advisory. We prioritize professional growth through mentorship and cross-functional learning.

The Astradis platform provides real-time intelligence through a function-specific command center, combining structured and unstructured data via our Fibron AI layer. Our platform powers diagnostic dashboards, forecasting models, pricing tools, and operations modules, enabling clients to transition from reactive reporting to predictive strategy.

We are looking for a talented Analytics Engineer to join our team as an Associate. As an Associate, you will work closely with our team of analytics engineers to design and develop advanced analytics solutions for our private equity-backed company clients. You will assist in understanding their business needs and developing tailored analytics solutions.

• Assist in leading a team of analytics engineers to design and develop advanced analytics solutions
• Work closely with Clients to understand their business needs and develop tailored analytics solutions
• Assist in translating Client communicated business needs into an exploratory data analysis program and lead team efforts to execute
• Assist in designing, developing, maintaining, and optimizing complex enterprise data models to help solve operational and financial business problems
• Develop and maintain high-quality, visually appealing reports and dashboards to communicate complex analytics insights and recommendations to C-suite clients, ensuring that findings are easily understood and actionable by senior executives.
• Develop and maintain strong relationships with clients and internal stakeholders
• Participate in and assist in project meetings and contribute to project deliverables
• Ability to work in a fast-paced environment, manage multiple projects simultaneously, and prioritize tasks to meet deadlines
• Assist in developing and implementing process improvements to increase team efficiency and productivity
• Collaborate with data engineers to design, develop, maintain, and…