Publié il y a 6 jours
Senior Manager, Business Analytics - Strategic Modeling
@ Jobgether
Télétravail au Canada
En bref
Jobgether is hiring a Senior Manager, Business Analytics – Strategic Modeling on behalf of a partner company in Canada. The role leads a multidisciplinary analytics team building forecasting and scenario models that connect revenue, customer demand and workforce capacity. The posting states a fully remote arrangement in British Columbia or Ontario, a salary of CA$137,000 to CA$205,000, and a discretionary bonus of up to 15%.
Salaire :
137 000 $–205 000 $ par année
Responsabilités :
- Lead and mentor a multidisciplinary business analytics team
- Build forecasting, scenario and sensitivity models
- Translate analytical findings into workforce and investment recommendations
- Present outlooks and trade-offs to senior executives
- Partner with Finance, Operations, Recruiting and Care leadership
Résumé des exigences :
- 8+ years in business analytics, forecasting or financial modeling
- 3+ years of people management
- SQL and Python and/or R proficiency
- BI platform experience (QuickSight, Tableau, Power BI)
- Strong executive communication and stakeholder influence
Outils et compétences
Avantages mentionnés
Source et dates
Site carrière / système de candidatures · lever
- Date publiée par l’employeur
- 2026-11-05
- Première détection par notre source
- 2026-11-04
- Mise à jour du dossier source
- 2026-11-05
Ces dates décrivent le dossier source, pas une vérification en direct du recrutement. Consultez l’offre originale.
Détails du poste
| Niveau | Gestionnaire |
| Domaine | Données et analytique |
| Expérience | 8 an(s) et plus |
| Expérience en gestion | 3 an(s) et plus |
| Gestion d’équipe | Oui |
| Heures par semaine | 40 (estimé) |
| Déplacements | route : aucun |
| Milieu de travail | Domicile |
| Position | Surtout assis |
| Exigences physiques | physique faible · ordinateur élevé |
| Langues | English |
| Formation | Maîtrise (préféré) |
| Domaines d’études | Finance, Economics, Statistics, Operations Research, Data Analytics |
| Avantages mentionnés | Congé parental généreux, Régime de retraite, Prime de rendement, Actions ou participation, Mieux-être |
Résumé et détails rédigés par l’IA à partir de l’offre; l’offre de l’employeur fait foi.
Jobgether
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.
Your career navigator for remote work.
Description complète de l’entreprise
Jobgether is an AI-powered career coach and matching platform fixing the broken job search. Remote professionals no longer waste hours applying blindly; instead, they receive a personalized job search strategy, stronger visibility, and curated matches aligned with their skills, flexibility preferences, and career goals. We flip the hiring model by connecting talent only to roles that truly match, reducing noise for employers and eliminating wasted effort for candidates. Jobgether combines AI coaching, profile optimization, Match Score insights, and the world’s largest remote job database to help people land opportunities faster and with less bias. Our purpose is to make remote job search guided and intentional. Our mission is to become the world’s reference platform for remote talent, ensuring no professional remains invisible and every match is meaningful.
- Abonnés LinkedIn
- 1 498 314
- Personnes associées sur LinkedIn
- 391
- Bureaux déclarés
- Brussels, BE
- Catégories d’activité
- Internet
- Virtual Workforce
- Autres noms enregistrés
- Jobgether
- Le profil indique une agence de recrutement
- Non
- Investissement total déclaré
- 2 557 655
La devise et la date d’observation ne sont pas fournies; ce n’est ni une valorisation actuelle ni une ronde de financement.
Jobgether is an AI-powered career coach and matching platform fixing the broken job search. Remote professionals no longer waste hours applying blindly; instead, they receive a personalized job search strategy, stronger visibility, and curated matches aligned with their skills, flexibility preferences, and career goals. We flip the hiring model by connecting talent only to roles that truly match, reducing noise for…
| Champ | Valeur |
|---|---|
| Secteur | Internet Marketplace Platforms |
| Taille | 11-50 employees |
| Siège social | Brussels |
| Type d’organisation | Privately Held |
| Fondée en | 2020 |
| Offres sur Jobsy | 277 |
| Voir la page |
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Manager, Business Analytics – Strategic Modeling based in Canada.
We are seeking an experienced business analytics leader to build and lead a strategic modeling function that connects financial forecasting, customer demand, and workforce capacity planning. In this role, you will transform complex business assumptions and operational data into forward-looking insights that support critical financial and organizational decisions. You will lead a multidisciplinary analytics team, develop sophisticated forecasting methodologies, and establish scalable models that anticipate business needs and identify emerging opportunities. Working closely with Finance, Operations, Recruiting, and senior leadership, you will influence long-term planning and resource allocation across the organization. This position combines strategic thinking, technical expertise, and people leadership in a highly collaborative, data-driven environment. It is an opportunity to shape analytical capabilities and directly influence business performance through predictive insights and informed decision-making.
Accountabilities
- Lead, develop, and mentor a multidisciplinary Business Analytics team responsible for long-term revenue forecasting, customer contact forecasting, capacity planning, and strategic modeling.
- Establish and manage an integrated modeling framework connecting commercial assumptions, customer demand, productivity, workforce capacity, recruitment, training requirements, and financial outcomes.
- Design, develop, and oversee advanced forecasting, scenario-planning, and sensitivity-analysis models to evaluate key business drivers, including demand, conversion rates, productivity, average handling time (AHT), employee attrition, automation, and hiring timelines.
- Translate complex analytical findings into actionable recommendations regarding workforce capacity, recruitment, training, operational investments, and long-term resource allocation.
- Present business outlooks, risks, opportunities, and strategic trade-offs to senior executives, ensuring analytical insights support effective financial and operational decisions.
- Partner closely with Care leadership, Finance, Operations, Recruiting, Command Center, and other cross-functional stakeholders to align forecasting assumptions and strategic priorities.
- Establish and continuously improve forecasting methodologies, model governance, validation frameworks, backtesting processes, and documentation standards.
- Drive greater automation, scalability, predictive accuracy, and efficiency across analytical processes to accelerate access to actionable business insights.
- Identify emerging business risks and opportunities through predictive modeling and scenario analysis, providing recommendations that support proactive planning.
- Build a high-performing analytics culture focused on technical excellence, continuous improvement, collaboration, and measurable business impact.
- At least 8 years of professional experience in Business Analytics, Forecasting, Strategic Planning, Financial Modeling, Capacity Planning, or a related quantitative discipline.
- Minimum of 3 years of people management experience, with a demonstrated ability to develop analytics professionals and lead complex, cross-functional initiatives.
- Proven experience designing, implementing, and improving forecasting and strategic modeling capabilities, including time-series forecasting, scenario planning, model validation, backtesting, and sensitivity analysis.
- Strong SQL proficiency and practical knowledge of Python and/or R for analytical modeling, automation, and forecasting development.
- Experience working with business intelligence and data visualization platforms such as Amazon QuickSight, Tableau, or Power BI.
- Strong understanding of financial and operational performance drivers, with the ability to connect analytical findings to business strategy and measurable outcomes.
- Excellent analytical and problem-solving skills, including the ability to interpret complex datasets, evaluate business assumptions, and develop reliable predictive models.
- Demonstrated ability to communicate sophisticated analytical concepts clearly and translate technical insights into actionable recommendations for senior and executive stakeholders.
- Strong stakeholder management and influencing skills, with experience collaborating across Finance, Operations, Workforce Planning, Recruiting, and other business functions.
- Strategic mindset combined with hands-on analytical expertise and the ability to balance long-term planning with practical business requirements.
- Experience establishing or scaling centralized forecasting, strategic modeling, workforce analytics, or capacity planning functions.
- Background supporting large-scale customer care operations, contact centers, sales organizations, or other high-volume service environments.
- Experience integrating revenue forecasting, customer demand, workforce capacity, and financial planning into a unified strategic business model.
- Advanced knowledge of statistical forecasting and time-series modeling techniques.
- Experience developing automated, scalable forecasting solutions and improving analytical processes.
- A Master's degree in Finance, Economics, Statistics, Operations Research, Data Analytics, Mathematics, or another relevant quantitative discipline.
- Competitive compensation: Annual base salary ranging from CA$137,000 to CA$205,000, depending on experience, skills, and location.
- Performance-based bonus: Potential eligibility for a discretionary annual cash bonus of up to 15% of base salary, based on individual and company performance.
- Equity participation: Potential eligibility to participate in an employee equity plan.
- Remote flexibility: Fully remote working arrangement, with the opportunity to work from home in British Columbia or Ontario.
- Healthcare coverage: Health, dental, and vision insurance.
- Financial protection: Life insurance, critical illness coverage, and accidental death and dismemberment (AD&D) insurance.
- Health and wellness: Healthcare spending account, employee assistance program, and paid wellness days.
- Time off: Paid sick leave, personal days, public holidays, and generous time-off provisions.
- Family support: Paid parental leave.
- Retirement and savings: Access to retirement savings programs and an employee stock purchase plan.
- Inclusive culture: Opportunities to participate in employee resource groups and contribute to a diverse, collaborative workplace.
- Entrepreneurial environment: A culture that encourages initiative, individuality, innovation, and professional development.
- Additional benefits: Other programs and benefits in accordance with applicable company policies and Canadian employment regulations.
Requirements
Additional qualifications that would be an advantage:
Candidates are encouraged to apply even if they do not meet every listed requirement. Relevant transferable experience, diverse professional backgrounds, and a willingness to learn and grow are also valued.
Benefits
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
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