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Entry Level Data Visualization Tableau Jobs in Toronto, ON

Advanced Tableau proficiency for dashboard creation and data visualization Intermediate knowledge of English is required because you will most of the time interact in English with external parties ...

Experience using ArcGIS and data visualization tools e.g. Tableau. You Must Also Have: * Strong customer service, communication, and consulting skills * Familiarity with current public health issues ...

New

... development, or data visualization. * Undergraduate degree or advanced technical education ... Knowledge of Tableau, dashboard migration from Tableau to Power BI, or Microsoft Power Apps/low ...

Intermediate knowledge of data cleansing and data visualization using systems such as Power BI, Tableau, SQL, and R/Python Preferred Qualifications: * Excellent communication skills, with the ability ...

Experience working with data visualization and reporting tools such as Excel, Power BI, Tableau, or similar platforms. * Knowledge of learning measurement and evaluation methodologies, such as the ...

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Entry Level Data Visualization Tableau information

What are some common challenges faced by entry-level data visualization professionals using Tableau, and how can they overcome them?

Entry-level data visualization specialists working with Tableau often encounter challenges such as understanding data structures, ensuring data quality, and effectively communicating insights through visualizations. Navigating Tableau’s advanced features and optimizing dashboard performance can also be daunting for newcomers. To overcome these obstacles, it's helpful to invest time in learning best practices for data preparation, seeking feedback from more experienced team members, and utilizing Tableau’s extensive online resources and community forums. Regularly practicing with real datasets and collaborating with analysts or business stakeholders will also build confidence and proficiency.

What are the key skills and qualifications needed to thrive as an Entry Level Data Visualization Tableau professional, and why are they important?

To thrive as an Entry Level Data Visualization Tableau professional, you need a solid understanding of data analysis, basic statistics, and proficiency in Tableau, often supported by a degree in a related field such as computer science, statistics, or business. Familiarity with Tableau Desktop, SQL, and Microsoft Excel, along with completion of Tableau certification courses, is highly advantageous. Strong attention to detail, effective communication, and problem-solving abilities help you translate data into actionable insights for stakeholders. These skills are crucial for creating clear, impactful visualizations that drive data-informed decisions within organizations.

What are entry level data visualization Tableau jobs?

Entry level data visualization Tableau jobs are positions for individuals who are new to the data analytics field and specialize in creating visual representations of data using Tableau software. These roles typically involve tasks such as preparing data, building interactive dashboards, and generating reports to help organizations make data-driven decisions. Candidates are expected to have basic knowledge of Tableau, some experience working with datasets, and good communication skills to translate complex data into understandable visuals. Entry level positions may include titles like Tableau Developer, Data Visualization Analyst, or Business Intelligence Intern. These roles offer a pathway to more advanced analytics and business intelligence careers.
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What job categories do people searching Entry Level Data Visualization Tableau jobs in Toronto, ON look for? The top searched job categories for Entry Level Data Visualization Tableau jobs in Toronto, ON are:
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PepsiCo Canada: 2026 Junior Data Scientist New Grad

PepsiCo Canada: 2026 Junior Data Scientist New Grad

PepsiCo

Mississauga, ON

CA$76K - CA$78K/yr

Full-time

Posted 11 days ago


PepsiCo rating

7.5

Company rating: 7.5 out of 10

Based on 867 frontline employees who took The Breakroom Quiz

144th of 396 rated food and drinks producers


Job description

Overview

Are you excited about analytics and passionate about problem solving?

Then come join our Data Science team at PepsiCo Foods Canada! We are focused on accelerating consumer demand, strengthening customer partnership, and driving end to end productivity through data science and advanced analytics. We work with Shopper Insights, Shopper Marketing, Category Leadership, Supply Chain and IT resources to unlock opportunities. Being embedded in the business and linked to the top strategic priorities allows us to build best-in-class capabilities, develop deep functional expertise, and offer focused products in an agile responsive manner.

Help us solve new and exciting business problems with data analysis, advanced analytics, and a love of problem solving. Success in this role will require exceptional data analysis skills, an analytical mindset, intellectual curiosity, and strong appreciation for delivering business results. Strong communication and collaboration skills are required.

What you can expect from us:

  • Competitive compensation and comprehensive benefits designed to fit your unique needs
  • A dynamic and inclusive culture that promotes you to bring your whole-self to work
  • Inspiring positive change for people and the planet with sustainability goals
  • A supportive team that will encourage your professional growth and development

Compensation: $76,100-78,700 annual salary


Responsibilities
  • Translate Business needs into technical requirements
  • Collaborating with business stakeholders and technical teams to deliver a variety of projects
  • Deliver proof of concepts leveraging advanced analytics and data science
  • Effectively communicating insights to project stakeholders
  • Support the adoption of solutions into the business process
  • Identify best practices in the advanced analytics space by tracking technology and industry trends

Qualifications
  • 2025/26 Recent Graduate with a Bachelor's Degree in Data/Computer Science, Mathematics/Statistics, an engineering discipline, or equivalent
  • Familiarity with statistical modeling, machine learning and/or deep learning modeling
  • Knowledge of statistical analysis tools like R or Python
  • Comprehensive knowledge of Databases and strong SQL programming skills
  • Proficiency in data engineering and data blending
  • Demonstrated experience in handling large data sets and relational databases
  • Experience with visualization tools like Tableau, Power BI or Matplot
  • Ability to translate business and technical requirements into non-technical terms
  • Strong communication and collaboration skills
  • Exceptional analytical and conceptual thinking skills
  • Demonstrated ability to thrive in fast paced environment
  • Ability to work independently with minimal supervision
  • Experience with Scrum/Agile Methodology is an asset

Why work at PepsiCo

At PepsiCo, you’re invited to be a part of a global team of innovators who make, move, and sell these products—which are enjoyed by more than 1 billion people a day. A career at PepsiCo means working in a culture where everyone’s welcome. Here, you can dare to be yourself. No matter who you are or where you’re from, you can influence the people around you and the world at large. By showing up, you’ll have the opportunity to learn, develop and grow your skills for the future. Our supportive teams can fuel your professional goals to make a global impact on people and the planet.

Join us. Dare for Better.

PepsiCo may use Artificial Intelligence as part of its hiring process. Specifically, we may use AI-based tools to screen, assess, or select applicants. 

This posting is for an new vacancy. 

Qualifications:
  • 2025/26 Recent Graduate with a Bachelor's Degree in Data/Computer Science, Mathematics/Statistics, an engineering discipline, or equivalent
  • Familiarity with statistical modeling, machine learning and/or deep learning modeling
  • Knowledge of statistical analysis tools like R or Python
  • Comprehensive knowledge of Databases and strong SQL programming skills
  • Proficiency in data engineering and data blending
  • Demonstrated experience in handling large data sets and relational databases
  • Experience with visualization tools like Tableau, Power BI or Matplot
  • Ability to translate business and technical requirements into non-technical terms
  • Strong communication and collaboration skills
  • Exceptional analytical and conceptual thinking skills
  • Demonstrated ability to thrive in fast paced environment
  • Ability to work independently with minimal supervision
  • Experience with Scrum/Agile Methodology is an asset

Why work at PepsiCo

At PepsiCo, you’re invited to be a part of a global team of innovators who make, move, and sell these products—which are enjoyed by more than 1 billion people a day. A career at PepsiCo means working in a culture where everyone’s welcome. Here, you can dare to be yourself. No matter who you are or where you’re from, you can influence the people around you and the world at large. By showing up, you’ll have the opportunity to learn, develop and grow your skills for the future. Our supportive teams can fuel your professional goals to make a global impact on people and the planet.

Join us. Dare for Better.

PepsiCo may use Artificial Intelligence as part of its hiring process. Specifically, we may use AI-based tools to screen, assess, or select applicants. 

This posting is for an new vacancy. 

Education:UNAVAILABLEEmployment Type: FULL_TIME

What PepsiCo employees say

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Benefits

Hours and flexibility

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About PepsiCo

Sourced by ZipRecruiter

PepsiCo products are enjoyed by consumers more than one billion times a day in more than 200 countries and territories around the world. PepsiCo generated $86 billion in net revenue in 2022, driven by a complementary beverage and convenient foods portfolio that includes Lay's, Doritos, Cheetos, Gatorade, Pepsi-Cola, Mountain Dew, Quaker, and SodaStream. PepsiCo's product portfolio includes a wide range of enjoyable foods and beverages, including many iconic brands that generate more than $1 billion each in estimated annual retail sales.

Industry

Food and drink manufacturing

Company size

10,000+ Employees

Headquarters location

Purchase, NY, US

Year founded

1965