Analyst - Analytics Engineering - Toronto at Teragonia

Toronto, Ontario, Canada -

Full Time

Start Date

Immediate

Expiry Date

16 May, 26

Salary

105000.0

Posted On

15 Feb, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Yes

Skills

SQL, Python, Data Wrangling, Data Visualization, Exploratory Data Analysis, Data Modeling, Client Relationship Management, Project Management, Communication, Problem-Solving, Data Pipelines, Business Intelligence, Forecasting Models, Dashboard Development, Data Analysis, Generative AI

Industry

technology;Information and Internet

Description

Location: Toronto Metropolitan Area Base Salary: $95,000 – $105,000 (CAD) Company Overview 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 401k contribution matching, medical insurance, and additional benefits. Read more about our mission, vision, and values on our website: About Teragonia: https://teragonia.com/company/ Our Values: https:// teragonia.com/careers/ Our Purpose: https://teragonia.com/value-orchestration/ 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. 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. Job Summary We are looking for a talented Analytics Engineer to join our team as an Analyst. As an Analyst, 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. Responsibilities Support a team of analytics engineers to design and develop advanced analytics solutions and be an active contributor to executing on engagement work Assist Engagement Managers and Associates in working closely with clients to understand their business needs and develop tailored analytics solutions Assist Engagement Managers and Associates in translating Client communicated business needs into an exploratory data analysis program and lead team efforts to execute Assist analytics engineering teams 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 senior client executives, ensuring that findings are easy to understand and actionable by senior executives Make a concerted effort to begin to 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 optimize data pipelines critical to the integrity of the enterprise data models Stay up-to-date with industry trends and best practices in data analytics and apply this knowledge to improve our solutions Overview As an Analyst, you will be a key contributor to our service delivery, innovation, and practice development. You will have the opportunity, and the management support, to develop specialized knowledge of data analytics, data science, and AI applications in a chosen industry or domain. You will possess excellent communication and presentation skills and be eager to develop as a key contributor in the Value Creation and Analytics (VC&A) Consulting division and develop executive presence as your career with us progresses to Associate, Manager, Principal, Director, and Managing Director levels. We will provide appropriate mentorship and company selected resources for your leadership skill development. Technical Skills As an Analyst, you will be quick to understand the client’s business needs and execute on delivering data-driven solutions. You will play a direct role in driving engagement workflows, deliverables, and timelines, ensuring the quality of enterprise-grade data pipelines and business intelligence applications. These efforts aim to enhance pricing, customer segmentation, sales effectiveness, customer lifetime value, attrition management, workforce scheduling, and cost optimization. You will be actively contributing to and delivering the team’s insights around the ideation, design and development of various analytics, data science and generative AI products, working hand-in-hand with our software engineers, data scientists, and AI engineers. The ideal candidate is a proactive problem-solver who takes full ownership of delivering high-quality client work. This individual thrives on delving into technical details to ensure the engagement team successfully meets deliverables by employing analytical techniques to develop crucial business insights for our clients. You will have excellent attention to detail and project management skills, essential for working effectively within our diverse, multidisciplinary team. As part of a collaborative group that includes business analysts, software engineers, data engineers, analytics engineers, data scientists, and AI engineers, you must demonstrate strong teamwork abilities. Your role will require not only individual excellence but also seamless integration and cooperation with team members to achieve shared goals and deliver impactful results. Transforming low-hygiene data sets to develop organized databases with high fidelity is a necessary part of the job. The ideal candidate is an expert in data wrangling skills and possesses excellent knowledge of the software tools used for service delivery, including data manipulation and data visualization software. You will develop deep expertise in the Teragonia technology stack, for which we will provide appropriate training resources to the extent such tools are new to you. Engagement and Client Management You could be delivering multiple client engagements simultaneously, or a large and complex engagement, and the scope of the engagement could evolve based on changing client needs. The financial sponsor universe demands actionable insights in a relatively short timeframe. The ideal candidate will be excited about driving critical client deliverables and solving a variety of business problems in parallel, in a fast-paced and dynamic environment. The engagement planning and management are critical to maintaining high quality delivery and efficiency. You will actively support the Engagement Manager and Associate by delivering on the engagement plan and strategy and contribute your own ideas, asking questions, challenging the ideas and timelines presented to ensure that high quality client deliverables can be delivered in the timeframe our clients request them. You will also support the Engagement Manager and Associate with assessing the project management plan including resource allocation, tasks assignment, priorities, timelines, budget vs actual, fee updates, and more. You will have strong communication and presentation skills and be able to clearly articulate to the team, engagement leader(s) and the client, the business applications and impact of the data analytics assets delivered. Other Key Responsibilities Innovation – Support cross functional innovation initiatives Specialization – Develop a sector or domain specialty Recruitment – Actively contribute to Teragonia’s recruitment efforts to attract top talent Marketing and business development – Assist executive leadership and officers with strategic marketing initiatives Thought leadership - Assist with conducting research for thought leadership initiatives RequirementsNecessary Qualifications Bachelor’s degree in Business Analytics, Computer Science, Information Systems, Industrial Engineering, or a related field with stellar academic performance from leading universities 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 Strong 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 Excellent communication and interpersonal skills Preferred Qualifications Experience with cloud-based analytics platforms and big data technologies such as Snowflake, GCP, DBT, FiveTran, Dataiku, etc. High business acumen and advanced understanding of connectivity between operational data and financial data (ERP PoS P&L / trial balance / journal entries, etc.) Experience with data modeling methodologies and concepts (e.g., Kimball Modeling, Data Vault, Data Mesh, etc.) Strong experience with data modeling Certification in data science or analytics (e.g., Certified Analytics Professional) Master's in Business Analytics, Computer Science, or similar advanced degree Canadian Benefits Competitive Total Compensation - Market-benchmarked salary and bonus structure to attract and retain top talent. Additional Compensation - Performance-based incentives and signing bonus, as applicable. 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 - Reimbursement for lunch at the office, and dinner too if you are working past 7 pm, up to a limit. Fitness-Wellness Stipend - For fitness & wellness programs, such as gym memberships, up to a limit. Paid Time Off (PTO) - Eligible for 15 to 20 days PTO based on applicable level. Vacation pay is calculated as required by the Ontario Employment Standards Act. Vacation time may be carried over up to a maximum allowable under ESA requirements. Statutory Holidays - ESA statutory holidays as well as additional company holidays: New Year’s Day, Family Day, Good Friday, Victoria Day, Canada Day, Labour Day, Thanksgiving, Christmas Day, Boxing Day, Easter Monday, Civic Holiday, Remembrance Day 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. Paid Parental Leave - Paid Parental Leave of 12 weeks after 6 months of service with the company. 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 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 expectations are 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. 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).

Responsibilities

The Analyst will support analytics engineers in designing and developing advanced analytics solutions for private equity clients by assisting in understanding business needs and translating them into data analysis programs. Key duties include developing and maintaining enterprise data models, creating reports and dashboards for senior executives, and building client relationships.