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Data Analytics Associate Jobs in Woodbridge, ON (NOW HIRING)

dentalcorp

Associate Data Engineer

Toronto, ON · On-site

The Opportunity This is a full-time opportunity supporting Dentalcorp's ongoing data and analytics ... The Associate Data Engineer will contribute to the development, support, and continuous improvement ...

RSM

Senior Associate - Deal Analytics

Toronto, ON · On-site

CA$82K - CA$132K/yr

As a Deal Analytics Senior Associate, you willassistin project scoping and strategic planning ... You will design data integration workflows, execute various data and analytic techniques, and ...

MD Analytics

Market Research Associate

Toronto, ON

Research Associate based in the Greater Toronto Area Working with a team in Toronto, you will be ... of data tables and coding, doing basic statistical analyses (where applicable), and report ...

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Data Analytics Associate information

What does a data analytics associate do?

A Data Analytics Associate is responsible for collecting, processing, and analyzing data to help organizations make informed business decisions. They use statistical tools and data visualization techniques to identify trends, patterns, and insights from large datasets. Typically, they collaborate with different departments to interpret results, create reports, and provide actionable recommendations for process improvements or strategic planning. Their work is crucial for organizations looking to leverage data for competitive advantage.

What are the key skills and qualifications needed to thrive as a data analytics associate?

To thrive as a Data Analytics Associate, you need strong analytical skills, proficiency in statistics, and a relevant degree in fields like mathematics, economics, or computer science. Familiarity with data analysis tools such as SQL, Python, Excel, and visualization platforms like Tableau is typically required. Exceptional problem-solving abilities, attention to detail, and effective communication are crucial soft skills for interpreting data and presenting findings. These skills ensure accurate data-driven insights that support informed business decisions and drive organizational success.

How does a data analytics associate typically collaborate with other departments within a company?

Data Analytics Associates frequently work cross-functionally, partnering with teams such as marketing, finance, and operations. They help these departments interpret data, identify trends, and develop actionable insights that inform decision-making. Collaboration often involves attending meetings, participating in project teams, and communicating findings through reports or presentations. This close teamwork not only enhances business outcomes but also provides associates with exposure to different aspects of the organization, fostering professional growth.

What cities near Woodbridge, ON are hiring for Data Analytics Associate jobs?

Cities near Woodbridge, ON with the most Data Analytics Associate job openings:

Data Analytics Associate jobs near you
Infographic showing various Data Analytics Associate job openings in Woodbridge, ON as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution.

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

Tiger Analytics Inc.

Toronto, ON • On-site

Full-time

Re-posted 19 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.

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