1

Data Analytics Associate Jobs in Ontario (NOW HIRING)

Job Responsibilities The team is tasked with developing creative approaches to data sourcing ... analytics preferred. Fresh grads are welcomed to apply for Associate Analyst. * 2 - 4 years of ...

AWS Certified Data Analytics - Specialty. AWS Certified Solutions Architect - Associate or Professional. What We Offer Why join us? We believe in taking care of our team. Here is a snapshot of our ...

Collaborate with the engineering and product teams to develop and support our internal data platform to support ongoing analyses * Mentor and train associate data scientists Aboutyou * 3 years of ...

Experience: * 5+ years of experience supporting and maintaining complex data and server infrastructure to enable data analytics and business intelligence reporting * Strong technical expertise in SQL ...

Data Developer III

Mississauga, ON · On-site

CA$91K - CA$126K/yr

This role is responsible for enabling data-driven business solutions through analytics, data ... Demonstrates and encourages respect for others; drives a positive associate and customer experience ...

Build and maintain data solutions with Azure Synapse Analytics for big data analytics and reporting ... Certification in Azure Data Engineer Associate or Azure AI Engineer Associate is an asset but not ...

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 ...

Showing results 41-60

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 are the most commonly searched types of Data Analytics jobs in Ontario?

The most popular types of Data Analytics jobs in Ontario are:

What cities in Ontario are hiring for Data Analytics Associate jobs?

Cities in Ontario with the most Data Analytics Associate job openings:

Infographic showing various Data Analytics Associate job openings in Ontario as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution.

Associate Analyst/Analyst, Campaign Analytics

Marinabaysands

Full-time

Re-posted 17 days ago


Job description

WE TAKE YOU ABOVE BEYOND

Take your passion to the next level and work alongside other masters of their craft to build a fulfilling and rewarding career at Marina Bay Sands.

Job Responsibilities

The team is tasked with developing creative approaches to data sourcing, deriving new variables and factoring in qualitative insights to deliver high-impact business solutions.

  • Derive insights on members behavior in response to marketing offers

  • Provide estimates of future campaign expenses based on mechanisms and offer criteria

  • Develop post campaign analysis to objectively evaluate the effectiveness of such campaigns

  • Work with marketing team to understand and develop the nuance of each marketing offer

  • Loyalty Program analysis, bench marking, optimal reinvestment for all aspects of marketing

  • Design and automate reports, dashboards, ETL to support marketing and management teams

Analytics

  • Apply advanced analytics, modelling, and machine learning on patron behavior, marketing mix modeling, propensity modeling

  • Design effective A/B testing for measuring campaign success

  • Work closely with Business Intelligence, data platform, IT and smart IR teams to implement analytical solutions.

Job Requirements

Education & Certification

  • Degree in Business Analytics, Applied Mathematics, Statistics, Marketing or other analytical fields preferred.


Experience

  • Marketing graduates with a flair for numbers and interest in customer and marketing analytics are welcome.

  • 1 to 2 years of practical experience in business analytics, customer analytics or marketing analytics preferred. Fresh grads are welcomed to apply for Associate Analyst.

  • 2 - 4 years of practical experience in business analytics, customer analytics or marketing analytics or Masters in any analytical field for Analyst.

  • Experience building and implementing predictive models and machine learning will be an added advantage.

  • Casino related experience is a bonus but not compulsory.


Other Prerequisites

  • Programming skills using analytical tools such as Base SAS, SAS EG, SQL, R or Python is required.

  • Proficient in data visualization tools, such as Tableau preferred.

  • Ability to process massive amounts of data and complete critical projects in a correct, accurate and timely manner.

  • Strong logical thinking, data analysis and problem-solving skills.

  • Excellent communication and presentation skills.

  • Passionate about data, customers, and building your career with Marina Bay Sands.

Marina Bay Sands is committed to building a diverse, equitable and inclusive workforce, providing equal opportunities as we grow our talent base to match our growth ambitions in Singapore.Our employees are committed to adhere to and abide by all rules, regulations, policies and procedures, including the rules of conduct and business ethics of the Company.