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Onni Capital in Vancouver is seeking a Private Equity Analyst to support the full transaction lifecycle from sourcing to closing, focusing on live deals across construction, electrical, and data centre sectors. You will work directly with decision-makers in a fast-moving environment and gain exposure to the full breadth of the investment process.
The role emphasizes hands-on analysis, modelling, diligence, and portfolio reporting with a bias toward action and rapid learning in a
There is an exciting opportunity for a Private Equity Analyst to join Onni Capital in Vancouver. Onni Capital is a new investment and company building platform within the Onni Group. Operating at the intersection of a venture studio, private equity firm, and family office, we build new companies, invest in exceptional founders, and pursue opportunities where Onni’s capital, operating platform, real estate portfolio, and industry relationships create a meaningful advantage. Onni Capital is being built from the ground up with the speed, ambition, and working style of a technology company. Our team works across venture creation, technology, private investments, fund investments, and special opportunities. This role exists to buy and build businesses. As a Private Equity Analyst, you will support the full transaction lifecycle, from sourcing and screening through modelling, diligence, structuring, and the work that follows a closing. Our active focus includes construction, electrical, industrial services, data centres, and other businesses in the built world where Onni’s operating platform creates an advantage. This is an opportunity for someone early in their career to work on live transactions from their first months, with direct exposure to the people making the decisions.
Onni Capital invests its own capital. There is no fundraising cycle, no external investment committee, and no requirement to deploy on someone else’s timeline. Good opportunities can be pursued quickly and weak ones can be declined without ceremony. Onni’s operating businesses generate proprietary deal flow and give real diligence advantage. When evaluating an electrical contractor, an industrial services business, or a data centre opportunity, we can test assumptions against companies we already own and operators we already work with.
Onni Capital is being designed as a high ownership, low bureaucracy team. We work in small project groups, test ideas quickly, put early products in front of users, and make decisions based on evidence rather than hierarchy. Team members are expected to: challenge assumptions and communicate directly; take responsibility for outcomes, not simply produce recommendations; use modern AI tools to work faster and produce better results; share unfinished work early and improve it through feedback; move comfortably between strategic analysis and hands on execution; know when to continue investing in an idea and when to stop; operate effectively without a detailed playbook. This is not a role for someone who wants months of consensus building, a rigid job description, or a narrowly defined set of responsibilities. It is for someone who learns quickly, takes initiative, enjoys solving ambiguous problems, and wants to help build something from the ground up.
You will see a transaction from first contact through to post closing performance rather than one slice of the process. On a single deal, you may be involved in:
The expectation is high ownership. You will be accountable for the numbers you put in front of decision makers.
Salary Range: $65,000 CAD Per Year
Onni has been building communities for people to live, work, and play for over half a century. Our success reflects our commitment to our employees and partners, and our dedication to quality construction, innovation, sustainability, and customer satisfaction. Our expertise expands across North America, with offices in Vancouver, Toronto, Los Angeles, Seattle, Phoenix, and Chicago.
This role may involve the use of artificial intelligence (AI) tools to support research, analysis, content development, design, reporting, or operational efficiency. Employees are expected to use AI responsibly and in compliance with company policies, data privacy requirements, confidentiality obligations, and applicable laws. All AI-generated or AI-assisted outputs must be reviewed for accuracy, quality, and appropriateness before use. Employees are also expected to disclose when AI tools have been used in the creation of work and must not present AI-generated content as solely their own original work.