Teragonia ( teragonia.com ) is a fast-growing analytics and technology firm that equips mid-market companies with plug-and-play enterprise intelligence through our proprietary Astradis Operating System, a modular AI platform built to drive value creation across finance, operations, and revenue functions. Rooted in deep private equity experience and over $400B in M&A-backed insights, Teragonia helps CXOs and portfolio teams move faster, make better decisions, and deliver measurable performance improvements.
Astradis provides real-time intelligence through a function-specific command center, combining structured and unstructured data via our Fibron AI layer. Our analytics engine powers diagnostic dashboards, forecasting models, pricing tools, and operations modules, enabling clients to transition from reactive reporting to predictive strategy.
Teragonia's Value Creation & Analytics (VC&A) division operates at the intersection of finance, management consulting, and advanced technology, serving as the strategic backbone for private equity portfolio companies and founder-owned businesses. We specialize in creating bespoke 'data-to-dollars' value creation playbooks using Decision Intelligence Systems (DIS) that deliver real-time, system-level insights to enhance EBITDA, recognizing the critical role that data-driven decision-making plays in maximizing enterprise value and accelerating capital velocity. Our team combines the analytical rigor of management consulting with the technical depth of advanced analytics and AI, leveraging cutting-edge statistical models, optimization techniques, and machine learning to solve complex business challenges and generate transformative business value. We supplement our Decision Intelligence Systems with advisory services to help business leaders operationalize analytics-driven strategies, working closely with deal teams, operating partners, and management to embed analytics in strategic planning and tactical monitoring for timely course corrections. We champion the professional growth and development of our team members, offering focused education across our multidisciplinary structure and an expansive career development platform that promotes cross-learning within our unique blend of technologists, data scientists, and business experts who have first-hand private equity experience as investors, operators, and M&A advisors. We understand the importance of balancing professional advancement with personal pursuits, fostering a collaborative and forward-thinking environment that drives innovation while maintaining work-life integration.
We are looking for a talented intern to join our team in the Analytics Engineering domain. As an intern, you will work closely with our team of analytics engineers to design and develop advanced analytics solutions for our private equity-backed portfolio company clients. You will assist in understanding their business needs and developing tailored analytics solutions.
In accordance with the Ontario Employment Standards Act, 2000 (ESA), interns at Teragonia are entitled to applicable protections under provincial labor law.
· Leaves of Absence - Interns are eligible for unpaid statutory leaves such as pregnancy leave, parental leave, bereavement leave, and family caregiver leave, provided they meet ESA eligibility criteria. Teragonia complies with all statutory obligations and will accommodate leave-related needs in accordance with applicable law.
· Hours of Work & Overtime - Interns are expected to work approximately 35 to 40 hours per week, unless otherwise agreed in writing. Overtime will only be assigned when necessary and will be compensated at 1.5 times the regular hourly rate for hours exceeding 44 in a workweek, unless the role is exempt under ESA. Teragonia does not permit unapproved overtime and expects interns to communicate availability and workload concerns proactively.
Our recruitment process is designed to ensure a thoughtful and comprehensive evaluation of candidates, as well as alignment with the team's objectives and company values. The process typically involves the following stages:
Throughout the process, candidates are encouraged to ask questions and engage in open dialogue.
Work Location Policy
We are looking for candidates living in, or willing to relocate to, within commutable distance of the Toronto metropolitan areas so that we can provide you with the support and mentorship during the internship.
Teragonia welcomes applications from all qualified candidates. Canadian work experience is not a requirement for this position.
Teragonia is committed to providing equal employment opportunities and fostering a workplace free from discrimination and harassment. In accordance with the Ontario Human Rights Code and Employment Standards Act, we make employment decisions based solely on merit, qualifications, and bona fide occupational requirements. We do not discriminate against any individual based on race, ancestry, place of origin, colour, ethnic origin, citizenship, creed, sex, sexual orientation, gender identity, gender expression, age, record of offences, marital status, family status, or disability. We are committed to providing reasonable accommodation for employees with disabilities to the point of undue hardship. We encourage applications from all qualified candidates and will accommodate applicants' needs under the Ontario Human Rights Code throughout the recruitment and selection process.
Teragonia retains a record of publicly advertised job postings for a minimum of three years, as required.
Requirements
· Currently pursuing a Bachelor's (rising Senior) or master’s degree in accounting & finance, or Economics (with a minor in Computer Science or Information Systems), Business Analytics, Computer Science (with minor in finance, econometrics or equivalent), Information Systems, Industrial Engineering, or a related field with strong academic performance from accredited universities
· Proficiency in Python/SQL, and eagerness to learn new tools and platforms quickly
· 0-2 years of experience in analytics engineering, data engineering, software engineering or a related field at global consulting firms, top financial services firms or high-growth startups
· Demonstrated interest in learning how analytics insights drive business value
· Experience in performing exploratory data analysis
· Certification in data science or analytics (e.g., Certified Analytics Professional)
· Experience with data visualization tools such as Tableau or PowerBI
· Strong analytical and problem-solving skills
· Excellent communication and interpersonal skills
· Legally authorized to work in Canada (Canadian citizenship, permanent residence, or valid work permit)
Benefits
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