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Publié il y a 3 mois

Analyst – Business Intelligence & Data Analytics

@ Sapling Financial Consultants

Toronto, Ontario

HybrideTemps plein
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Sapling Financial Consultants is hiring an Analyst for business intelligence and data analytics in Toronto, a full-time role. The work involves data extraction, SQL-based cleaning, predictive modelling, client reporting and dashboards. The posting states a hybrid arrangement with two in-office days per week and a salary range of $65,000 to $85,000 plus bonus.

Responsabilités :

  • Extract data from accounting, operational and HR systems
  • Clean and transform data using SQL
  • Build predictive models and financial dashboards
  • Prepare client reporting packages and performance trackers
  • Coordinate with client teams to implement models

Résumé des exigences :

  • Bachelor's degree in a relevant discipline, or equivalent project experience
  • Programming experience in Python, R, C# or similar
  • Hands-on experience with SQL and relational databases
  • Excel lookup functions, pivots and VBA macros
  • Experience with Power BI or Tableau is a strong differentiator
  • 0-2 years in an analytical role

Outils et compétences

Source et dates

Site carrière / système de candidatures · bamboohr

Date publiée par l’employeur
2026-08-11
Première détection par notre source
2026-10-08
Mise à jour du dossier source
2026-10-09

Ces dates décrivent le dossier source, pas une vérification en direct du recrutement. Consultez l’offre originale.

Détails du poste

NiveauDébutant
DomaineDonnées et analytique
Expérience0 an(s) et plus
Heures par semaine40 (estimé)
Milieu de travailBureau, Domicile
PositionSurtout assis
Exigences physiquesphysique faible · ordinateur élevé
LanguesEnglish
FormationBaccalauréat (exigé)
Domaines d’étudescomputer science, mathematics, statistics, engineering, science
Avantages mentionnésMieux-être

Résumé et détails rédigés par l’IA à partir de l’offre; l’offre de l’employeur fait foi.

Sapling Financial Consultants

Profil d’entreprise sauvegardé

Renseignements historiques provenant d’un profil The Jobs API sauvegardé (champs LinkedIn/Crunchbase). Ils ne sont pas vérifiés en temps réel; les chiffres peuvent avoir changé. Les valeurs manquantes restent inconnues.

Description complète de l’entreprise

Sapling Financial Consultants is a Toronto-based boutique consultancy serving clients across North America. Founded in 2015, we specialize in financial modelling, FP&A, due diligence and data analytics services for mid-market businesses, private equity firms and high-growth enterprises. With our new Atlanta satellite office, we’re expanding our U.S. presence and strengthening our cross-border collaboration. We help leaders from Private Equity firms and CFOs to Entrepreneurs, CEOs, Electricity Developers, and Restructuring & Insolvency professionals to make confident, data-driven decisions. Through tailored financial models and analytics tools, we simplify complexity so strategy comes into focus, empowering decisions with clarity, confidence, and impact. At Sapling, we don’t settle for good enough. We live for A+ in everything we deliver.

Abonnés LinkedIn
3 411
Personnes associées sur LinkedIn
34
Bureaux déclarés
  • 100 Sheppard Avenue East, Suite 870, Toronto, Ontario M2N 6N5, CA
Catégories d’activité
  • Finance
  • Consulting
  • Analytics
  • Database
  • Financial Services
Autres noms enregistrés
  • Sapling Financial Consultants
  • Sapling Financial Consultants Inc.
Spécialités
  • Financial Modeling
  • Data Analytics
  • Product P&L
  • Securing Financing
  • Working Capital Models
  • Startups
  • Midmarket
  • M&A Modelling
  • Tech
  • CleanTech
  • HealthCare
  • Manufacturing
  • Mining
  • Telecom
  • Professional Services
  • and Model/Spreadsheet Enhancements
Le profil indique une agence de recrutement
Non
Investissement total déclaré
0

La devise et la date d’observation ne sont pas fournies; ce n’est ni une valorisation actuelle ni une ronde de financement.

Sapling Financial Consultants is a Toronto-based boutique consultancy serving clients across North America. Founded in 2015, we specialize in financial modelling, FP&A, due diligence and data analytics services for mid-market businesses, private equity firms and high-growth enterprises. With our new Atlanta satellite office, we’re expanding our U.S. presence and strengthening our cross-border collaboration. We help…

ChampValeur
SecteurBusiness Consulting and Services
Taille11-50 employees
Siège socialToronto, Ontario
Type d’organisationPrivately Held
Fondée en2015
SpécialitésFinancial ModelingData AnalyticsProduct P&LSecuring FinancingWorking Capital ModelsStartupsMidmarketM&A ModellingTechCleanTech
Offres sur Jobsy8
LinkedInVoir la page
Description

COMPANY SUMMARY

Sapling Financial Consultants is a management consulting firm, founded in 2015. What started as an idea from a kitchen table has turned into a trusted management consulting firm serving clients across North America. Headquartered in Toronto, Ontario, with a newly opened satellite office in Atlanta, Georgia, Sapling is supported by a team of 30 professionals, delivering high-quality financial modelling, due diligence, interim FP&A and data analytics solutions tailored to mid-market companies, private equity firms, investment banks, search funds and independent sponsors, infrastructure and electricity developers, as well as entrepreneurs. During the past decade, Sapling has developed a reputation for excellence in financial modelling and data analytics.

More than half of Sapling’s clients are based in the U.S., reflecting its expanding geographic footprint and growing reputation in management consulting. The firm continues to scale its capabilities, invest in new talent and maintain flexibility in response to shifting market conditions. During periods of economic uncertainty, Sapling has consistently demonstrated steady growth. The firm was recognized for its excellence, being awarded the CanadianSME National Business Award for Best Professional Service in 2023, ranked in Globe and Mail' and Ragan’s 2025 Workplace Wellness Award in the category of Learning & Development – Wellness Initiatives, as well as being ranked in Canada’s Top Growing Companies by The Globe and Mail’s Report on Business Magazine in 2024, with a three-year growth rate of 215 per cent.

POSITION SUMMARY, DUTIES AND QUALIFICATIONS

Position Summary

We are looking for an ambitious Analyst with training and ideally some hands-on experience in Business Intelligence, Data Analytics, and Statistical Analytics, who, above all, wants to do high quality, impactful work they can take pride in - work that creates real value for our clients.

Our guiding principle is We Live for A+. If you are someone who strives for excellence, not because you have to, but because you take pride in doing great work and enjoy seeing how far you can go, then Sapling might be exactly where you belong.

As an Analyst, you will collaborate with our co-founders and senior consultants to conduct in-depth analyses for management using financial and business data as well as build comprehensive management reporting for clients.

We are a boutique consultancy that differentiates itself from the big firms with best-in-class work, and we have no interest in diluting our brand. The ideal candidate can not only keep up but also win our respect through their work ethic, attention to detail, and high quality of work.

We’re looking, above all, for someone with a long-term outlook who wants to join like-minded people in building a wildly successful company founded on the principle of creating high-impact value for clients.

This role will help you deepen and widen your data analytics and modelling skills and provide you with hands-on experience with client and business development. Ultimately, you will play a large role in a small but growing team with big ambitions for the future.

Our company is on a hybrid model, with the entire team in-office Tuesdays and Wednesdays (2 days/week at 100 Sheppard Avenue East, Suite 860, Toronto), and the balance of days at home. Our hybrid model is a reflection of the independence that our team is entrusted with in completing their work.

Responsibilities

  • Data extraction from various systems including accounting systems, operational systems, HR systems, web databases etc. using data extraction tools, custom coding, API connectors, and other extraction techniques
  • Mine, analyze, and model large datasets to help define the structure of the database. Develop custom data warehouses and algorithms to apply to data sets
  • Comprehensive data manipulations and transformations using SQL to clean the data of any discrepancies and re-organize data sets in desirable forms
  • Use predictive modeling to assist in estimating revenue generation and other business outcomes
  • Preparing outputs for clients including business reporting packages, financial dashboards, and operational performance trackers using data visualization tools
  • Coordinate with different client teams to implement models. Develop processes and tools to monitor and analyze system performance and data accuracy
  • Develop financial analyses / data analyses providing actionable insight to management through spreadsheets
  • Manage client relationships, ensuring overall satisfaction and looking for pertinent opportunities to provide additional services to existing clients
  • As required, and depending on available billable work, assist with proposals (“live” client leads, government bids, etc.), marketing material development, writing of white papers and blogs, and help in the process of disseminating marketing materials (emails, snail mail, etc.)

Skills & Qualifications

  • A Bachelor degree in a relevant discipline (i.e., computer science, mathematics, statistics, engineering, science ) is required, though work experience or completed projects in a relevant field coupled with a non-related Bachelor’s degree (humanities, social sciences, etc.) can substitute
  • Experience using programming languages (C#, R, Python, or other languages,) to manipulate data and draw insights from large data sets
  • Deep understanding of relational databases and hands-on experience with MySQL and/or SQL
  • Experience or certification using Microsoft Azure services is welcomed, but not a must
  • Hands-on experience with Excel Lookup functions, Pivots, VBA Macros
  • Experience with data analysis and machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.)
  • Experience in data visualization tools such as Power BI or Tableau is a strong differentiator
  • 0-2 years experience in analytical role with involvement in screening / manipulating / analyzing big data sets is a strong differentiator
  • Intellectual curiosity and passion for learning about new industries and new businesses
  • Ability to take ownership of responsibilities and see them through to completion
  • Ability to work independently and manage time and multiple tasks / deadlines / deliverables at once
  • Strong dedication to the team and excellent work ethic, as well as enthusiasm about going above and beyond to ensure our clients achieve their business goals
  • Desire to contribute to the firm over the long haul, with the understanding that loyalty and hard work will be recognized in both compensation and responsibilities far more quickly than in a large “brand-name” firm

APPLICATION DETAILS

  • Start Date: We are looking for 1 full-time team members to start with us either in the summer or fall of 2027.
  • Location: Toronto
  • Salary Range: $65,000 to $85,000 plus bonus
  • Application Materials:
  1. Resume
  2. Transcripts (for your entire undergraduate program to date)
  3. Answering a couple of questions on our online form

We do not use AI to review your application. When it is reviewed, it is reviewed by a human being, likely a senior one, at Sapling. This reflects the care with which we do all our work. At Sapling, you are a person in whose growth we are deeply vested - you are not a number, and not data for a large language model

Sapling Financial Consultants is an equal opportunity employer that is committed to inclusion and diversity.

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