Company Overview (Mission, Vision, Values, Beliefs)

Teragonia is a fast-growing analytics and technology firm serving mid-market companies with enterprise intelligence via Astradis, our modular AI platform. Astradis integrates structured data through command centers powered by Fibron AI, delivering insights that help CXOs accelerate decision-making and shift from reactive reporting to predictive strategy.

Teragonia's Value Creation & Analytics (VC&A) Department Summary

Teragonia's Value Creation & Analytics (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.

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.

Job Summary

We are seeking a skilled Analytics Engineer to help design and deliver tailored analytics solutions and actionable insights for our portfolio companies. VC&A focuses on three areas: Technical Mastery via Astradis, Business Operations for performance optimization, and Client Success to drive measurable results.

Core Responsibilities

Technical Implementation and Value Creation

• Design data models to solve operational and financial problems
• Build and maintain ELT pipelines and transform raw data using SQL
• Create dashboards and reports that highlight performance insights
• Identify KPIs and analyze data to drive improvements

Client Engagement

• Translate business needs into data analysis programs
• Communicate technical concepts to non-technical audiences
• Build relationships with clients and internal teams
• Present insights in a clear, actionable manner

Project Management

• Manage multiple projects in a fast-paced environment
• Prioritize tasks and meet deadlines
• Collaborate across functions, including engineers and scientists
• Support process improvements and apply best practices

Career Development Opportunities

As an Analyst, you will contribute to value creation, platform deployment, and innovation. With management support, you will:

• Develop analytics and AI expertise in a chosen industry
• Build leadership and communication skills
• Contribute to thought leadership and marketing efforts
• Advance from Analyst to senior roles through mentorship
• Support innovation and recruiting initiatives

Recruiting Process

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. Candidates are encouraged to ask questions and engage openly throughout. The process typically involves the following stages:

• Initial Interviews with Managers – Two interviews focused on fit and goals
• Technical Interviews with Principals – One or two sessions assessing skills and problem-solving
• Final Interview with Founders – Discuss strategic alignment and long-term potential

AI Use Disclosure

We use artificial Intelligence (AI) tools to support the screening and assessment.

Accessibility in Recruitment

We are committed to accessibility. If you require accommodation during any stage of the recruitment process, please contact us in advance. We will support you in accordance with the Ontario Human Rights Code and the Accessibility for Ontarians with Disabilities Act (AODA).

Requirements

• Bachelor's degree in Business Analytics, Computer Science, Information Systems, Industrial Engineering, or a related field with excellent academic performance from accredited universities
• Demonstrated interest in learning how analytics insights drive business value
• Advanced programming skills in SQL and Python
• Experience in performing exploratory data analysis in a professional setting
• Experience with data visualization tools such as Tableau or PowerBI
• Strong analytical and problem-solving skills
• Proficiency with Microsoft Suite, particularly Excel
• Excellent communication and interpersonal skills
• Legally authorized to work in Canada (Canadian citizenship, permanent residence, or valid work permit. Teragonia may sponsor visa applications for eligible candidates subject to applicable Canadian immigration laws and regulations

Preferred

• Experience with cloud-based analytics platforms and data and analytics technologies such as Snowflake, Databricks, GCP, Airflow, DBT, FiveTran, GitHub, or highly relatable technologies
• 2 years experience in analytics engineering, data engineering, software engineering or a related field at high-growth start-ups or at global consulting or financial services firms
• At least one relevant internship experience or up to 2 years of engineering experience with in analytics, data, software or a related field at global consulting firms, top financial services firms or high-growth startups
• High business acumen and advanced understanding of connectivity between operational data and financial data (ERP toCRM to PoS to HRIS to P&L / trial balance / journal entries, etc.)
• Experience with data modeling methodologies (e.g., Kimball Modeling, Data Vault, Data Mesh)
• Certification in data science or analytics
• Master's in Business Analytics, Computer Science, or similar degree

Requirements

• Bachelor's degree in Business Analytics, Computer Science, Information Systems, Industrial Engineering, or a related field with excellent academic performance from accredited universities
• Demonstrated interest in learning how analytics insights drive business value
• Advanced programming skills in SQL and Python
• Experience in performing exploratory data analysis in a professional setting
• Experience with data visualization tools such as Tableau or PowerBI
• Strong analytical and problem-solving skills
• Proficiency with Microsoft Suite, particularly Excel
• Excellent communication and interpersonal skills
• Legally authorized to work in Canada (Canadian citizenship, permanent residence, or valid work permit. Sponsorship of visa applications available for eligible candidates subject to applicable Canadian immigration laws and regulations

Preferred

• Experience with cloud based analytics platforms and technologies such as Snowflake, Databricks, GCP, Airflow, GitHub, DBT, FiveTran, or highly relatable technologies
• At least one relevant internship experience or up to 2 years experience in engineering for analytics, data, software or at global consulting and financial services firms or high-growth startups
• At least one relevant internship experience or up to 2 years experience in analytics engineering, data engineering, software engineering or a related field at global consulting firms, top financial services firms or high-growth startups
• High business acumen and advanced understanding of connectivity between operational data and financial data (ERP to CRM to PoS to HRIS to P&L / trial balance / journal entries, etc.)
• Experience with data modeling methodologies (e.g., Kimball Modeling, Data Vault, Data Mesh)
• Certification in data science or analytics
• Master's in Business Analytics, Computer Science, or similar degree

Benefits

Additional Compensation

• 10, 000CAD Sign on Bonus

Benefits

• Competitive Total Compensation - Market-benchmarked salary and bonus structure to attract and retain top talent.
• Visa Sponsorship – May be available for eligible candidates to join our diverse team subject to applicable laws and regulations in Canada.
• RRSP Plan with Employer Contributions - We help secure your future with matching RRSP contributions up to 6.0% of your annual base salary.
• WSIB Coverage - Workplace Safety and Insurance Board coverage as required by Ontario law.
• Professional Development Opportunities - We will sponsor company-selected training sessions, conferences, and certifications to foster your growth.
• Meal Stipend - For lunch at the office, and dinner if working past 7 pm.
• Fitness-Wellness Stipend - For fitness & wellness programs, such as gym memberships.
• Paid Time Off (PTO) -Eligible for 15 to 20 days PTO with monthly accrual (1.25 to 1.66 days per month). Vacation pay is calculated at 4% or 6% of total compensation including base salary, bonuses, and other remuneration as required by the Ontario Employment Standards Act. Vacation time may be carried over up to a maximum allowable under ESA requirements.
• Statutory Holidays -All Ontario statutory holidays: New Year's Day, Family Day, Good Friday, Victoria Day, Canada Day, Civic Holiday, Labor Day, Thanksgiving Day, Christmas Day, Boxing Day, plus additional company holidays for a total of 12 holidays annually.
• Comprehensive Healthcare, Vision, and Dental Insurance -We prioritize your health and wellness with insurance coverage through leading Canadian providers equivalent to or exceeding provincial requirements.
• Fertility and family-building benefits through leading Canadian healthcare providers.
• Flexible Benefits Plan - We provide the opportunity to manage your healthcare expenses efficiently through Canadian tax-advantaged benefit plans where available.
• Mental Health Support -Access to mental health support through Canadian mental health providers covered under our healthcare plan.
• Health Navigation Services - Expert assistance to help you navigate the complexities of the Canadian healthcare system.
• Disability Insurance -We provide short term disability insurance through a leading Canadian provider covering up to 26 weeks at 60% of weekly earnings up to $1,500, exceeding Employment Insurance requirements.
• Sick Days - 5 paid sick days annually that reset each year, as required under the Ontario Employment Standards Act. Additional unpaid sick leave available as per ESA requirements.
• Leaves of Absence - Teragonia provides unpaid statutory leaves as required by the Ontario Employment Standards Act, 2000 (ESA), including pregnancy, parental, caregiver, and bereavement leave. Eligibility and duration follow provincial regulations. Additional unpaid leaves or flexible arrangements may be considered on a case-by-case basis.

Working Hours and ESA Exemption

This position is classified as a specialized professional role under O. Reg. 285/01, s. 2 of Ontario's Employment Standards Act, 2000 (ESA) and is therefore exempt from overtime pay requirements. While standard hours of work are expected to be approximately 40 hours per week, additional hours may be required to meet client deliverable sand business needs. Such expectationsare reflected in the annual salary.

Canadian Experience

We welcome applications from all qualified candidates. Canadian work experience is not a requirement for this position.

Diversity, Equity, and Inclusion Statement

We are an equal opportunity employer and are committed to providing a respectful, inclusive, harassment free workplace. We hire based on merit and qualifications in line with the Ontario Human Rights Code and Employment Standards Act. We welcome applicants from all backgrounds.

Accommodation for Disabilities

We are committed to dignity, independence, inclusion, and equal opportunity under the Ontario Human Rights Code and AODA. We provide reasonable accommodations during recruitment and employment. Employees needing support should contact their manager or Human Resources representative.

Retention Notice

In compliance with Ontario's employment standards, Teragonia retains copies of all publicly advertised job postings and associated application forms for a period of three years.

Flexible Work Policy

We promote flexible work to support wellbeing and performance. Remote work is available though in-person collaboration is encouraged for planning and team connection. Toronto based employees have no mandated office days but are expected in person for key meetings. Employees outside Toronto may work remotely with occasional travel for events. Early career professionals with less than three years of experience should live within commuting distance to receive in person mentorship. Relocation support is available.