Senior Manager, Business Analytics - Strategic Modeling
Listed by Jobgether for an employer it does not name
- LocationCanada
- Work typeRemote
- Salary137k to 205k CAD a year
- EmploymentFull-time
- Posted5 November 2026
- SourceListed by Jobgether (Lever)
- Last checked2 h ago on Jobgether
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About the role
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.
Requirements
- 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.
Additional qualifications that would be an advantage:
- 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.
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
- 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.
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!
Why Apply Through Jobgether?
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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