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Added 3 mins ago
MT
Motor vehicle repair shop manager
Malwa Tires Ltd.
Winnipeg, MB
- From $43 CAD / hour
- Full-time
- On-site
Study market research and trends to determine consumer demand, potential sales volumes and effect of competitors' operations on sales
Added 58 mins ago
OC
Store manager - retail
Om Canpacific International Inc.
Etobicoke, ON
- From $43.27 CAD / hour
- Full-time
- On-site
Study market research and trends to determine consumer demand, potential sales volumes and effect of competitors' operations on sales
Added 59 mins ago
TC
Insights & Analytics Manager
Takeda Canada Inc.
Toronto, ON
- Full-time
The Manager, Insights & Analytics provides commercial decision support to the Canadian commercial organization, turning commercial, CRM, omnichannel, market, and customer data into insight…
Added 1 hour ago
CD
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Capital Dodge Chrysler Jeep Limited
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- On-site
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Takeda Canada Inc.

Insights & Analytics Manager

Toronto, ON, Canada

Full-time

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Job details

Job type: Full-time
Apply by: Nov 27, 2026
Posting language: English
Posted: Oct 28, 2026

Original job description

By clicking the “Apply” button, I understand that my employment application process with Takeda will commence and that the information I provide in my application will be processed in line with Takeda’s Privacy Notice and Terms of Use. I further attest that all information I submit in my employment application is true to the best of my knowledge.

Job Description:

Manager, Insights & Analytics:

Role Purpose:

The Manager, Insights & Analytics provides commercial decision support to the Canadian commercial organization, turning commercial, CRM, omnichannel, market, and customer data into insight that shapes how brand plans are executed locally and informs annual planning through patient and demand forecasts. The role helps Business Unit leaders, who remain accountable for performance, understand which levers to pull, where to focus, and which questions to ask to drive results. Acting as a trusted advisor to brand teams and cross-functional leaders across Marketing, Sales, Finance, Medical, Market Access, and Patient Services, the role brings evidence, options, and clear recommendations to the moments where decisions are made. CRM and field activity data are a core focus, giving leaders visibility into how customer engagement and execution are translating into results. The role connects the dots across data sources quickly, builds the models and performance dashboards the business relies on, and asks the questions that move performance discussions beyond commentary. The role supports assigned brands and therapeutic areas, which may include in-line and launch portfolios.

The role brings together three core areas

Insights and strategic partnership synthesizing market, customer, and performance data with primary and secondary market research into clear “so what / now what” recommendations for brand strategy and tactical plans.
Forecasting and demand modelling owning the patient and demand models that provide critical input to the financial planning cycle and annual direction setting.
Performance analytics and sales force effectiveness defining KPIs, building scorecards and Power BI dashboards, analyzing CRM and field activity, and delivering sales force effectiveness analytics that help leaders understand what is driving results, not only what the results are.

The role does not own data ingestion, data quality, stewardship, or broader data governance, which sit with Data, Digital & Technology (DD&T) and are delivered through the Enterprise Data Backbone (EDB). Instead, the role is an expert consumer of enterprise data it harvests insight from trusted sources, applies business judgment to recognize when numbers do not make sense, and raises issues with DD&T so they are resolved at the source.

Reporting Line:

Reports to Insights Lead
Direct reports 0 (individual contributor; leads through partnership and influence)

Key Accountabilities:

Insights generation & strategic partnership:

Act as the analytical thought partner to brand teams, generating and communicating data-derived insights and recommendations that shape brand strategy, tactical plans, and resource choices.
Bring together market, customer, patient, and performance data to explain uptake, utilization, and customer behaviour, and to identify risks and opportunities early.
Partner with vendors on primary and secondary market research, including customer journeys and brand utilization, to guide future strategy; ensure research findings are integrated with performance data rather than reported in isolation.
Build and maintain a strong understanding of the assigned therapeutic areas, competitive landscape, and Canadian market dynamics, including market access and reimbursement factors.

Forecasting & demand modelling:

Own the patient and demand forecast models for assigned brands, including patient-flow and trend-based approaches, for inline and launch brands.
Lead the forecasting process locally build assumptions and scenarios, gain cross-functional alignment, and clearly communicate forecast outputs, sensitivities, and risks.
Provide forecasts as a critical input to the financial planning cycle and annual direction setting, in partnership with Finance and Business Unit leadership.

Performance management, KPIs & sales force effectiveness:

Define meaningful KPIs with cross-functional partners and build the scorecards and analyses that bring visibility to the levers which drive performance and enable productive and actionable leadership dialogue, connecting outcomes to customer, channel, and field-execution drivers.
Analyze CRM and field activity data (e.g., reach, frequency, call quality, and engagement patterns) to assess execution against plan and pose the right questions to Sales and Marketing leadership.
Deliver sales force effectiveness analytics, including territory design, segmentation, targeting and call planning, resource allocation and sizing, and incentive compensation.
Support the Insights Lead in evolving the commercial performance-management approach and prepare analysis for the monthly commercial scorecard reviews.
Where permitted, incorporate Patient Support Program (PSP) and patient data into performance and demand analysis, in line with consent, privacy notices, and Takeda data-use standards.

Dashboards, reporting & self-serve analytics:

Design, build, and maintain Power BI dashboards and scorecards, working self-sufficiently and, where needed, with vendors and DD&T, using trusted data from the Enterprise Data Backbone.
Turn complex analysis into clear insight presentations and decision-ready narratives for brand teams and leadership.
Drive Business Unit adoption of insights and self-serve analytics; simplify and rationalize reporting so it is used to make decisions.
Apply strong business sense to sense-check data and outputs, recognize anomalies, and escalate data-quality issues to DD&T for resolution at the source.

Key Interfaces:

Insights Lead and Insights & Analytics team
Head of Commercial & Marketing Operations
Business Unit leadership, brand teams, and Senior Marketing Engagement Leads
Sales leadership
Commercial Operations
Omnichannel Marketing (NGCE) Lead and CRM
Finance, Medical, Market Access, and Patient Services
DD&T, including data governance teams
Regional and global analytics and capability teams; external data and research vendors (e.g., IQVIA)

Experience, Skills, and Qualifications:

Bachelor’s degree in a quantitative, business, or scientific field required; advanced degree (MBA/MSc) preferred.
5–7+ years in commercial analytics, business insights, forecasting, or sales force effectiveness within pharmaceutical, biotechnology, or healthcare data and consulting environments.
Strong working knowledge of Canadian pharmaceutical data sources, especially IQVIA, and of the Canadian pharmaceutical market.
Proven experience building and maintaining patient and demand forecast models and communicating their assumptions and outputs to senior stakeholders.
Hands-on sales force effectiveness experience territory design, segmentation, targeting, sizing, and incentive compensation.
Advanced Excel and Power BI skills; SQL and Python or R are an asset.
Experience analyzing CRM,field activity, and omnichannel data to explain performance drivers is strongly preferred.
Versatile, hands-on profile able to quickly connect data across sources, build analytical tools, and understand the business context well enough to tell when something does not add up.
Strong strategic and critical thinking; makes evidence-based recommendations and is comfortable asking challenging questions of the business.
Exceptional communication skills; explains the “so what” of complex analytics to non-technical audiences, including senior leaders.
Ability to understand complex therapeutic areas and clinical data; experience supporting launches is an asset.
Strong collaboration, curiosity, bias for action, and comfort working in an evolving operating model.

What Good Looks Like:

The successful candidate connects the dots quickly, combining market, customer, field, and forecast data into a coherent view of what is happening and why. This person builds tools that are actually used, explains numbers with confidence, and raises the quality of performance conversations by asking the next question rather than reporting the last result. They know the data well enough to trust it, and to challenge it, without owning the infrastructure behind it. The successful candidate thrives in a dynamic environment where curiosity, versatility, judgment, and partnership are essential.

Other:

Location Toronto, Ontario (Head Office)
Work arrangement Hybrid, 2 days per week minimum
Travel approximately 10% domestically and/or internationally
Languages English fluency required; French fluency an asse

Takeda Canada encourages applications from all qualified candidates. In accordance with our accommodation policies and applicable provincial accessibility legislation, please advise us if you need accommodation in order to participate in the recruitment process. Any information you provide relating to accommodation will be addressed confidentially.

Locations:

Toronto, Canada

Base Salary Range:

The estimated salary range reflects an anticipated range for this position. The actual base salary offered may depend on a variety of factors, including the qualifications of the individual applicant for the position, years of relevant experience, specific and unique skills, level of education attained, certifications or other professional licenses held, and the location in which the applicant lives and/or from which they will be performing the job.

Benefits

For information about our benefits, please click here.

Worker Type:

Employee

Worker Sub-Type:

Regular

Time Type:

Full time

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More about this job

Responsibilities

Generate commercial insights and recommendations by combining market, customer, patient, CRM, field activity, and performance data to guide brand strategy and execution. Own patient and demand forecasts, develop KPIs and Power BI dashboards, and deliver sales force effectiveness analysis that supports planning and leadership decisions.

Requirements

A bachelor’s degree in a quantitative, business, or scientific field is required, with an advanced degree preferred, and 5–7+ years of relevant experience in pharmaceutical, biotechnology, or healthcare analytics. Candidates should have Canadian pharmaceutical market and IQVIA knowledge, forecasting and sales force effectiveness experience, advanced Excel and Power BI skills, and strong analytical, communication, and collaboration abilities.

Skills

Commercial Analytics
Business Insights
Patient and Demand Forecasting
Forecast Modeling
Sales Force Effectiveness
Territory Design
Segmentation and Targeting
Incentive Compensation
CRM Analytics
Omnichannel Analytics
Power BI
Advanced Excel
Market Research
Strategic Thinking
Stakeholder Communication
Canadian Pharmaceutical Market Knowledge

Visa sponsorship

Not detected in the job text

Keywords

Commercial Analytics
Business Insights
Patient Forecasting
Demand Modeling
Patient-Flow Models
Market Research
Canadian Pharmaceutical Market
IQVIA
CRM
Field Activity Data
Omnichannel Analytics
Sales Force Effectiveness
Territory Design
Segmentation
Targeting
Call Planning
Resource Allocation
Incentive Compensation
KPIs
Scorecards
Power BI
Excel
SQL
Python
R
Enterprise Data Backbone
Market Access
Patient Support Programs
Financial Planning
Data-Driven Decision Making

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