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Analyst Jobs in Ontario (NOW HIRING)

... Analyst. * Experience building and implementing predictive models and machine learning will be an added advantage. Other Prerequisites * Programming skills using analytical tools such as Base SAS ...

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 ...

Analyze various aspects of the casino operations, including product and area performance, operational and manpower efficiency, dealer performance etc. * Apply advanced analytics, modelling and ...

Analyst

Toronto, ON

$70K - $110K/hr

Hydropower Analyst - Asset Management Location: Toronto, ON - 4 days per week in office Salary: $70,000 - $85,000 Reporting to the Hydropower Asset Manager, you will work as a member of a ...

Analyst

Toronto, ON · Hybrid

CA$40K - CA$50K/yr

This position is an Analyst, Valuation & Advisory Services role based out of our Downtown Toronto Office. This is a hybrid role. About you You're an aspiring appraisal professional looking to learn ...

Analyst

Toronto, ON · Hybrid

CA$40K - CA$50K/yr

This position is an Analyst, Valuation & Advisory Services role based out of our Downtown Toronto Office. This is a hybrid role. About you You're an aspiring appraisal professional looking to learn ...

JOB SUMMARY The Analyst prepares samples and measures specifications using prescribed lab equipment for each product. Analyzes samples by following established procedures in order to determine sample ...

Analyst

Toronto, ON · On-site

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

As a Product Analyst you will drive data informed product decisions by delivering actionable insights designing robust experiments and deeply understanding user behaviour You will partner closely ...

Business Analyst

Toronto, ON · Hybrid

CA$85K - CA$105K/yr

Business Analyst, Data & Insights (Power BI) Location: Etobicoke Corporate Office (Hybrid - In office Monday, Tuesday, Wednesday) Compensation: $85,000 - $105,000 Annually with additional Bonus Job ...

Financial Planning & Analysis (FP&A) Analyst Finance - Montreal or Toronto COTY is looking for smart leaders who are fast and passionate. We are seeking a highly motivated Financial Planning ...

Data Analyst

Toronto, ON · Hybrid

CA$75K - CA$100K/yr

We hire exceptionally smart, analytical, and hard-working people who are lifelong learners. About The Role This role sits on our Digital team, where your internal title will be Specialist, Digital ...

The Financial Analyst plays a key role in supporting financial planning, forecasting, reporting, and business decision-making across the organization. This position is responsible for analyzing ...

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Showing results 1-20

Analyst information

What is the difference between Analyst vs Data Scientist?

AspectAnalystData Scientist
Required CredentialsBachelor's degree in related field; often certifications in data analysis or business intelligenceBachelor's or master's degree in data science, statistics, or related fields; advanced certifications often preferred
Work EnvironmentBusiness settings, using tools like Excel, SQL, and BI softwareTechnical environments, using programming languages like Python or R, and machine learning tools
Employer & Industry UsageFinance, marketing, healthcare, and retail sectorsTech companies, research institutions, and industries requiring advanced data modeling
Common Search & Comparison IntentUnderstanding role differences, required skills, and career pathsExploring advanced data analysis, modeling, and predictive analytics

While both roles analyze data to support business decisions, analysts focus on interpreting data using standard tools, whereas data scientists develop complex models and algorithms to predict future trends. The choice depends on your technical skills and career goals.

Is an analyst a difficult job?

The difficulty of an analyst role depends on the specific field and responsibilities, but it generally requires strong analytical skills, attention to detail, and proficiency with data tools like Excel or SQL. The job can involve complex problem-solving and meeting tight deadlines, making it challenging for some individuals.

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

To thrive as an Analyst, you need strong analytical thinking, quantitative skills, and a relevant degree such as in finance, business, or data science. Familiarity with data analysis tools (like Excel, SQL, or Python), business intelligence platforms, and sometimes certifications such as CFA or CAP are typically required. Attention to detail, problem-solving abilities, and effective communication are vital soft skills for presenting insights and collaborating with stakeholders. These skills are crucial for transforming complex data into actionable strategies that drive informed business decisions.

Do analysts make good money?

Analysts typically earn competitive salaries that vary by industry, experience, and location. Entry-level analysts often start with lower pay, but experienced analysts with specialized skills or certifications can earn higher salaries, sometimes exceeding six figures annually. Salary data from industry sources indicates that analyst roles generally offer solid compensation compared to many other entry-level positions.

How do analysts typically collaborate with other departments within an organization?

Analysts often work cross-functionally, collaborating closely with teams such as finance, marketing, operations, and IT to collect data, understand business needs, and provide actionable insights. This collaboration usually involves regular meetings, data sharing, and joint project work to ensure that analyses align with organizational goals. Effective communication and teamwork are key, as Analysts must translate complex data findings into clear recommendations for non-technical stakeholders. Building strong relationships with other departments helps Analysts stay informed about business priorities and deliver more impactful results.

What does an analyst do?

An Analyst is a professional who collects, processes, and interprets data to help organizations make informed decisions. Their responsibilities often include researching trends, preparing reports, and providing insights that guide business strategies. Analysts work in various fields such as finance, marketing, operations, or data analysis, and use specialized tools and software to analyze information. They play a key role in identifying opportunities for improvement and supporting the decision-making process within a company.

What degree does an analyst need?

An analyst typically needs at least a bachelor's degree in fields such as business, finance, economics, statistics, or related areas. Some roles may require or prefer a master's degree or professional certifications like CFA or CPA, especially for advanced or specialized positions.
What are the most commonly searched types of Analyst jobs in Ontario? The most popular types of Analyst jobs in Ontario are:
What cities in Ontario are hiring for Analyst jobs? Cities in Ontario with the most Analyst job openings:
What are popular job titles related to Analyst jobs in ON? For Analyst jobs in ON, the most frequently searched job titles are:
Infographic showing various Analyst job openings in Ontario as of August 2026, with employment types broken down into 1% Internship, 77% Full Time, 16% Part Time, and 6% Contract. Highlights an 81% Physical, 9% Hybrid, and 10% Remote job distribution.

Associate Analyst/Analyst/Senior Analyst, Customer Analytics

Marinabaysands

Full-time

Re-posted 9 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.

Key areas of focus, include:

  • Leverage customer data and analytics to acquire, develop, and retain high-value customers more profitably and effectively.

  • Work with the sales team to optimize structure, communication, and coverage.

  • Develop a robust behavioral and needs-based segmentation to create more relevant, actionable, and personalized campaigns, offers, and engagements.

  • Collaborate with the marketing technology team to enhance CRM and real-time rules capabilities.

Analytics:

  • Apply advanced analytics, modelling and machine learning on customer behavior, CLV prediction and profitability analysis.

  • Enhance our 360 view of our most valuable guests and create actionable segmentations of customers across the entire Integrated Resort.

  • Work closely with Sales and Marketing departments to:
    1) Monitor the business and highlight trends and opportunities.
    2) Translate modelling results and segmentations into business strategy via data/dashboards with impactful visualization.
    3) Design data-driven personalized offers and A/B testing.
    4) Evaluate the effectiveness of our marketing strategies.

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

Job Requirements

Education & Certification

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


Experience

  • 1 to 2 years of practical experience in business analytics, customer analytics or marketing analytics preferred.

  • Minimum 3 - 5 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.


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.