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Associate Director Analytics Jobs in Ontario (NOW HIRING)

Guidehouse

Associate Director

Toronto, ON

None What You Will Do: Associate Director, Cybersecurity and NERC Compliancewill have ... Analyzing NERC internal compliance programs, and related strategy implementation and associated ...

Bucknell

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Associate Director, Career Technology, Digital Strategy & Data Analytics Position Type: Full time Scheduled Weekly Hours: 40 Categories: Staff Exempt Job Summary: This role provides strategic ...

New

WES

Associate Director, Content Marketing

Toronto, ON · Remote

CA$102K - CA$130K/yr

Title: Associate Director, Content Marketing Department: Marketing Reporting to: Senior Director ... Directly oversee and manage a Content Marketing Analyst. * Create and execute on a B2B and B2C ...

ICF

Associate Director, Energy Consulting

Ottawa, ON · On-site +1

  • Retirement

Associate Director, Energy Consulting Location: Must be based out of Toronto, ON or Ottawa, ON ... The Energy Analytics team is a leader in utility and government energy transition planning, program ...

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Associate Director Analytics information

What is the difference between Associate Director Analytics vs Data Scientist?

AspectAssociate Director AnalyticsData Scientist
Required CredentialsBachelor's or Master's in Analytics, Statistics, or related field; often some management experienceTypically a Master's or PhD in Data Science, Statistics, or related field
Work EnvironmentLeads analytics teams, collaborates with senior management, oversees projectsFocuses on data modeling, algorithm development, and data analysis
Employer & Industry UsageCommon in corporate, healthcare, finance sectorsWidely used across tech, finance, and research organizations
Search & Comparison IntentOften compared for leadership roles in analytics teamsCompared for technical expertise and data modeling skills

The Associate Director Analytics typically combines leadership with advanced analytics skills, overseeing teams and strategic projects. Data Scientists focus more on technical data modeling and analysis. Both roles require strong analytical credentials, but the Associate Director often has managerial responsibilities, making it a step towards senior leadership in analytics.

What does an associate director analytics do?

An Associate Director of Analytics leads teams responsible for analyzing data to drive business decisions and strategies. They oversee the development and implementation of analytical frameworks, manage data projects, and ensure the accuracy and usefulness of insights provided to stakeholders. This role typically involves close collaboration with other departments, mentoring analysts, and helping to define key performance indicators and reporting processes. Associate Directors of Analytics play a crucial role in transforming data into actionable intelligence to support organizational goals.

How does an associate director analytics typically collaborate with other departments within an organization?

An Associate Director of Analytics often works closely with departments such as marketing, finance, product management, and operations to understand their data needs and deliver actionable insights. They facilitate cross-functional meetings to align analytics initiatives with business objectives and ensure data-driven decision-making. Effective communication and stakeholder management are key, as the role requires translating complex analytical findings into clear recommendations for both technical and non-technical audiences.

What are the key skills and qualifications needed to thrive as an associate director analytics?

To thrive as an Associate Director Analytics, you need advanced analytical skills, a solid background in statistics or data science, and experience managing analytics projects, typically supported by a relevant degree and several years in the field. Familiarity with tools like SQL, Python, R, data visualization platforms (e.g., Tableau, Power BI), and knowledge of data governance frameworks are commonly required. Strong leadership, strategic thinking, and the ability to communicate complex insights to non-technical stakeholders are vital soft skills. These abilities are crucial for driving data-informed decision-making and leading high-performing analytics teams that align with organizational goals.

What are popular job titles related to Associate Director Analytics jobs in Ontario?

For Associate Director Analytics jobs in Ontario, the most frequently searched job titles are:

What job categories do people searching Associate Director Analytics jobs in Ontario look for?

The top searched job categories for Associate Director Analytics jobs in Ontario are:

Associate Director Analytics jobs near you
Infographic showing various Associate Director Analytics job openings in Ontario as of August 2026, with employment types broken down into 1% As Needed, 63% Full Time, 34% Part Time, 1% Temporary, and 1% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution.

Sr. Manager/ Associate Director - Analytics Consulting (Commercial Pharma)

Tiger Analytics Inc.

Toronto, ON • On-site

Full-time

Re-posted 26 days ago

Job description

Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 1000 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning and AI. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner.

We are seeking a Data and Analytics professional with deep Life Sciences and Commercial Pharma Analytics experience to lead strategic analytics initiatives for global pharmaceutical clients. This individual will serve as a bridge between business stakeholders and technical teams, driving the design and implementation of scalable commercial analytics solutions that enable data-driven decision-making across Sales, Marketing, Market Access, Patient Services, and Commercial Operations. The ideal candidate combines strong pharmaceutical domain expertise with experience managing analytics products, defining KPIs, translating business requirements into data solutions, and leading cross-functional teams.

Key Responsibilities

  • Partner with Life Sciences stakeholders to understand business requirements and translate them into analytical solutions
  • Translate launch strategy into segmentation frameworks, KPIs, and data products used by commercial leadership.
  • Drive stakeholder alignment across Marketing, Sales, Market Access, and Analytics
  • Own and prioritize the product backlog, ensuring alignment with launch milestones. Partner with the engineering team to design Snowflake-native data models optimized for scalability and reuse.
  • Ensure strong Power BI semantic model understanding (measures, relationships, performance).
  • Enable self-service analytics through well-designed datasets-not dashboards alone.
  • Establish KPI governance, adoption tracking, and success metrics for the product.
  • Lead a small cross-functional pod (data engineers, analysts).
  • Operate in an agile delivery model with clear sprint outcomes and executive visibility.
  • Act as the primary interface between business stakeholders and the technical team.

Requirements

  • 15+ years in commercial analytics, data product management, or analytics consulting within pharma/life sciences.
  • Strong understanding of commercial pharmaceutical functions, including Sales, Marketing, Market Access, Patient Services, Omnichannel Engagement, and Launch Excellence.
  • Experience working with industry-standard datasets such as IQVIA, Symphony Health, Komodo, MMIT, Veeva, Claims, Specialty Pharmacy, Hub, and Patient-level data.
  • Experience supporting commercial analytics, field force effectiveness, customer targeting, segmentation, omnichannel measurement, forecasting, patient journey analytics, or launch readiness programs.
  • Strong technical expertise in SQL, cloud data platforms (Snowflake, Databricks, AWS, Azure, GCP), and BI tools such as Power BI and Tableau, with experience working in enterprise-scale analytics environments.
  • Solid understanding of data product development, including data modelling, semantic layer design, KPI frameworks, and Agile delivery methodologies, with the ability to translate business requirements into scalable analytics solutions
  • Proven experience owning product backlogs and driving roadmap execution.
  • Ability to operate independently in greenfield / build-from-scratch environments.

Benefits

This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.

Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.

Apply