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Data Visualisation Analyst Jobs in Ontario (NOW HIRING)

Autodesk

Senior Software Developer, MCP/AI

Toronto, ON · On-site

... and data tasks. As a Senior MCP/AI Developer, you will own agentic subsystems end-to-end - from ... Lead root-cause analysis for production issues; elevate quality through code review,automated ...

StackandCo

Establishment of a new Data & Analytics function to provide data management and analytics capabilities that support my client in obtaining the data analytics and visualisation required for evidence ...

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Data Visualisation Analyst information

What does a data visualisation analyst do?

A Data Visualisation Analyst is responsible for transforming complex data sets into clear and visually engaging charts, graphs, and dashboards. They use specialized tools and software to help organizations understand trends, patterns, and insights from their data. By communicating findings visually, they enable stakeholders to make informed decisions quickly and effectively. Their role often involves collaborating with data scientists, business analysts, and decision-makers to ensure that visualizations meet business needs.

What are some common challenges data visualisation analysts face when presenting insights to non-technical stakeholders?

Data Visualisation Analysts often encounter the challenge of translating complex data findings into clear, actionable visuals that resonate with non-technical audiences. It can be difficult to strike the right balance between detail and simplicity, ensuring that key insights are not lost while avoiding overwhelming the audience. Effective communication and tailoring presentations to the audience's level of data familiarity are critical for success. Additionally, Analysts may need to address stakeholder questions on data sources or methodologies, so being prepared with accessible explanations is essential.

What are the key skills and qualifications needed to thrive as a data visualisation analyst, and why are they important?

To thrive as a Data Visualisation Analyst, you need strong analytical skills, proficiency in statistics, and a solid grasp of data interpretation, often supported by a degree in mathematics, computer science, or a related field. Expertise in visualization tools like Tableau, Power BI, and proficiency in SQL or Python are typically required. Attention to detail, creativity, and the ability to communicate complex information simply are standout soft skills in this role. These skills are crucial for transforming raw data into actionable insights and ensuring stakeholders can make informed, data-driven decisions.

What is the difference between Data Visualisation Analyst vs Data Analyst?

AspectData Visualisation AnalystData Analyst
Primary FocusCreating visual representations of data to communicate insightsAnalyzing data sets to identify trends and patterns
Skills & ToolsData visualization tools (Tableau, Power BI), graphic designStatistical analysis, SQL, Excel
Work EnvironmentBusiness intelligence teams, data departmentsData analysis teams, research departments
CertificationsTableau Desktop Specialist, Power BI certificationsGoogle Data Analytics, Microsoft Certified Data Analyst

While both roles involve working with data, a Data Visualisation Analyst primarily focuses on creating visual tools to communicate data insights effectively, whereas a Data Analyst concentrates on analyzing data to uncover trends and inform decision-making. The roles often overlap, but their core responsibilities differ in emphasis on visualization versus analysis.

What cities in Ontario are hiring for Data Visualisation Analyst jobs?

Cities in Ontario with the most Data Visualisation Analyst job openings:

Data Visualisation Analyst jobs near you
Infographic showing various Data Visualisation Analyst job openings in Ontario as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 19% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Manager/ Sr. Manager - BI Consulting (Life Sciences/Pharma)

Toronto, ON

Tiger Analytics Inc.
Business Management Consulting • 201 - 500 employees
Learn more about Tiger Analytics Inc.external

Full-time

Re-posted 15 days ago

Job description

Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Data Analytics, Data Engineering, Business Intelligence, Machine Learning and AI. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner.

Seeking a Power BI/BI Consultant to design and deliver scalable analytics solutions for global business teams, with a focus on commercial pharma (sales, field force, and HQ reporting). Candidates should have experience in Power BI development, PBI migrations, and leveraging tools like Alteryx for automated reporting.

Responsibilities:

  • Design and develop Power BI dashboards and reports for commercial pharma (sales, field force, HQ reporting)
  • Translate business requirements into data models, data flows, and scalable BI solutions
  • Lead/assist in Power BI migration initiatives and reporting automation (Alteryx or similar tools)
  • Ensure data quality, validation, and governance across reporting layers
  • Collaborate with cross-functional teams and stakeholders; manage Agile delivery and support enhancements, including chatbot/AI integrations

Requirements

  • 10-16 years of professional work experience in Commercial Pharma / Life Sciences analytics, insights, or consulting roles
  • 5-7 years of experience in a BI Manager/Consultant or related role
  • Strong stakeholder engagement across Commercial, Medical Affairs, and Market Access functions
  • Strong SQL skills and hands-on experience with analytic tools like R & Python & visualisation tools like Power BI
  • Strong understanding of standard data sources-especially pharmacy, HUB, CRM, IQVIA, alignments, and related datasets-along with the nuances and quality controls required to ensure accuracy
  • Experience with tools and concepts related to data and analytics, such as data modelling, dimensional modeling, ETL, reporting tools, data governance, data warehousing, structured and unstructured data
  • Ability to engage with executive/VP-level stakeholders from client's team to translate business problems to high level analytics solution approach
  • Experience in managing large accounts and active involvement in account growth. P&L ownership in the past would be an added advantage
  • Graduate in Business Analytics or MBA or equivalent work experience

Benefits

Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and 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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