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Amazon Data Analytics Jobs in Ontario (NOW HIRING)

Trellis is seeking to hire an Amazon Ads Manager to advise and support our client brands in ... analytical mindset with skills in data science and business intelligence tools, and you are ...

Amazon Advertising is one of Amazon's fastest growing and most profitable businesses, responsible ... scale data analytics, model training, deployment and serving - Publish scientific findings in ...

Oversee trade spend, budgets, and ROI optimization through data-driven performance analysis * Own Amazon Retail Media strategy: Partner with agencies and cross-functional teams to plan and execute ...

Oversee trade spend, budgets, and ROI optimization through data-driven performance analysis * Own Amazon Retail Media strategy: Partner with agencies and cross-functional teams to plan and execute ...

... Amazon Bedrock for generative customer experiences, and Contact Lens for real-time speech analytics ... Knowledge of telecom protocols (SIP, WebRTC), API development (REST/GraphQL), and data streaming.

... data analysis. To do so, you must be an effective communicator and send clear, concise and ... Amazon Safety Policies. - Measure site performance against published requirements in safety ...

Showing results 21-40

Amazon Data Analytics information

See Ontario salary details

$21.5K

$83.7K

$175.5K

How much do amazon data analytics jobs pay per year?

As of Aug 8, 2026, the average yearly pay for amazon data analytics in Ontario is $83,718.00, according to ZipRecruiter salary data. Most workers in this role earn between $43,500.00 and $116,500.00 per year, depending on experience, location, and employer.

How does an Amazon Data Analytics professional typically collaborate with cross-functional teams to drive business decisions?

Amazon Data Analytics professionals regularly work with teams such as product management, engineering, marketing, and operations to translate data insights into actionable strategies. They participate in meetings to understand business objectives, design analytical solutions, and present findings in a clear, business-friendly manner. This collaborative approach ensures that data-driven recommendations align with organizational goals and helps stakeholders make informed decisions. Effective communication and the ability to explain complex data concepts to non-technical colleagues are key skills in this role.

What is Amazon Data Analytics?

Amazon Data Analytics refers to the suite of tools, services, and practices offered by Amazon Web Services (AWS) that enable organizations to collect, process, analyze, and visualize large volumes of data. This includes services like Amazon Redshift, AWS Glue, Amazon Athena, and Amazon QuickSight, which help users turn raw data into actionable insights. Professionals in Amazon Data Analytics roles are responsible for building data pipelines, optimizing data storage, and ensuring data quality to support business decision-making. These roles require skills in data engineering, statistical analysis, and cloud computing technologies.

What is the salary of Amazon Data Analytics?

The salary for Amazon Data Analytics roles typically ranges from $70,000 to $120,000 annually, depending on experience, location, and specific responsibilities. Entry-level positions may start lower, while experienced analysts with skills in SQL, Python, or Tableau can earn higher salaries.

What is the difference between Amazon Data Analytics vs Data Analyst?

AspectAmazon Data AnalyticsData Analyst
Required CredentialsBachelor's in Data Science, Analytics, or related; Amazon-specific toolsBachelor's in Statistics, Mathematics, or related; general analytics tools
Work EnvironmentAmazon warehouses, cloud platforms, e-commerce settingsOffices, corporate settings, various industries
Employer & Industry UsageAmazon's e-commerce, logistics, cloud servicesMultiple industries including finance, healthcare, retail
Common Search & ComparisonYesYes

Amazon Data Analytics professionals focus on analyzing data within Amazon's ecosystem, utilizing Amazon-specific tools and working in e-commerce or logistics environments. Data Analysts have a broader scope across industries, using general analytics tools. Both roles require strong analytical skills, but Amazon Data Analytics roles often demand familiarity with Amazon's platforms and cloud services.

What are the key skills and qualifications needed to thrive as an Amazon Data Analytics professional, and why are they important?

To thrive as an Amazon Data Analytics professional, you need strong analytical skills, proficiency in statistics, and a background in computer science or a related field, often supported by a relevant degree. Familiarity with tools such as SQL, AWS services (e.g., Redshift, Athena), Python, and data visualization platforms like Tableau is typically required. Exceptional problem-solving abilities, clear communication, and the ability to interpret and present complex data insights are valuable soft skills. These competencies enable professionals to derive actionable business insights, support data-driven decisions, and drive operational efficiency within Amazon's fast-paced environment.
What are popular job titles related to Amazon Data Analytics jobs in Ontario? For Amazon Data Analytics jobs in Ontario, the most frequently searched job titles are:
What job categories do people searching Amazon Data Analytics jobs in Ontario look for? The top searched job categories for Amazon Data Analytics jobs in Ontario are:
Infographic showing various Amazon Data Analytics job openings in Ontario as of August 2026, with employment types broken down into 84% Full Time, 6% Part Time, and 10% Contract. Highlights an 94% In-person, and 6% Hybrid job distribution, with an average salary of $83,718 per year, or $40.2 per hour.

Sr Sales Strategy and Operations Manager, Central StratOps, GTM and Analytics

Amazon

Toronto, ON

Full-time

Re-posted 15 days ago


Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 7,066 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers


Job description

Amazon Ads helps brands create experiences that delight customers and deliver meaningful results. With 300+ million worldwide active customer accounts and first-party insights based on shopping, streaming, and browsing signals, brands can craft relevant campaigns that enhance customer experiences. Our solutions on Amazon.com, services like Prime Video, Twitch, and partnerships with third-party publishers and exchanges make Amazon Ads the ultimate amplifier for brands to reach the right audiences in the right places, both on and off Amazon.
The Central StratOps, GTM and Analytics team within Sales Intelligence, Tools & Enablement (SITE) builds the data foundations and operational processes that enable 4,000+ sellers to focus on the right accounts with the right level of service

This includes the predictive segmentation model that determines advertiser coverage and prioritization, the planning processes that deliver target lists, account assignments, and quotas, and the operational mechanisms that translate model outputs into actionable seller workflows across 10+ regions globally.
In this role, you will be a key member of the Segmentation and Planning team, ensuring Sales managers and the broader Sales organization have the information and processes needed to operate and execute efficiently. You will design and coordinate sales planning workflows worldwide, from forward-looking strategy to operational execution. You will build scalable mechanisms to support segmentation implementation, book-of-business planning, and quota distribution processes.
You will have strong oral and written communication skills, enabling you to dive deep into data to find answers and summarize findings into clear analysis that keeps all stakeholders informed

You will influence Sales front-line managers and regional leadership, balancing backbone to enforce agreed-upon decisions with adaptability to support strategic business changes.
The candidate must be a strong leader who draws on solid analytical, critical thinking, and problem-solving skills to effectively partner with and influence Sales teams globally. You will need the ability to manage complexity, design and implement processes, and coordinate cross-functional teams to deliver on high standards.

You should feel comfortable navigating ambiguity, solving complex problems, and communicating effectively with partners, sales customers, and leadership to drive results. A proven work ethic, strong ownership, and customer obsession are essential.
Key job responsibilities
- Lead projects designed to improve segmentation, planning, and operational process efficiency. This includes accessing and analyzing data and working extensively with partner teams such as Finance, Sales AI, Sales Tech, and regional Sales leadership.
- Drive cross-functional coordination to deliver results on predefined timelines, mapping and managing interdependencies and potential risks across planning cycles.
- Support teams in responding to, investigating, managing, and resolving complex and high-impact problems and escalations around data and processes that impact Sales.
- Analyze existing process gaps and develop solutions to close them

Drive toward simple, scalable solutions to difficult problems.
- Work with Sales customers and stakeholders to gather and document business requirements, propose solutions, evaluate feasibility, and work with Product and Science teams to prioritize features.
- Use high-level judgment to own complex decisions and escalate to leadership when required.
- Project-manage multiple workflows across planning milestones and communicate complex analytical results, both written and verbal, in a clear and easy-to-understand way.


What Amazon employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


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About Amazon

Sourced by ZipRecruiter

Amazon.com, Inc., commonly known as Amazon, is an American multinational technology company. It was founded by Jeff Bezos in 1994 and initially started as an online marketplace for books. Since then, Amazon has expanded its operations and become one of the largest e-commerce companies in the world. Amazon's primary business is its online retail platform, where customers can purchase a vast array of products, including electronics, clothing, books, home goods, and much more. The company offers a convenient and user-friendly shopping experience, with features such as fast shipping, customer reviews, and personalized recommendations. In addition to its e-commerce platform, Amazon has diversified its business into various other areas. One of its notable ventures is Amazon Web Services (AWS), a comprehensive cloud computing platform that provides services such as storage, compute power, and database management to individuals and businesses. AWS has become a leader in the cloud computing industry, powering many websites and applications worldwide. Amazon has also developed its own consumer electronics, including the popular Amazon Kindle e-reader, Fire tablets, Fire TV streaming devices, and the Alexa-powered Echo smart speakers. The Alexa voice assistant, integrated into these devices, allows users to interact with their devices using voice commands, perform tasks, and access information. Furthermore, Amazon has expanded into media and entertainment. It operates Prime Video, a streaming service that offers a wide range of movies, TV shows, and original content. Amazon Music provides a platform for streaming and purchasing digital music, while Audible offers audiobooks and other audio content. The company's commitment to customer satisfaction and convenience is demonstrated by its membership program, Amazon Prime. Prime members receive various benefits, including free two-day shipping, access to streaming services, exclusive deals, and more.

Industry

It services, book publishers, retail, real estate and computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Seattle, WA, US