179 Data Analysis jobs in Burnaby

Description
Are you looking for a role where you have the opportunity to shape Amazon's Pricing and Promotions using data, analytics, and insights? If so, our role in Amazon's Pricing & Promotions Science, Data, and Insights organization is for you.

Amazon's Pricing & Promotions Science, Data, and Insights organization is seeking a highly analytical Senior Business Intelligence Engineer. In this role, you will develop, build, and deliver automated analytics, insights, and anomaly detection tools and technologies, which will deliver the best prices and experiences to our customers. Data, insights, and analytics are at the core of Amazon's culture, and your work will have a direct impact on decision making and strategy for the Pricing and Promotions organization.

This role requires a self-starting leader with high judgment that thrives in ambiguity. We are looking for a person with broad and deep analytical abilities, that is customer and delivery-focused, and a has a track record of earning your customers and peer's trust. To be successful in this role, you will need strong business acumen and an entrepreneurial mindset.

Key job responsibilities

• Lead business intelligence for your business and its customers.
• Develop, build, and deliver analytical reporting, models and business strategy.
• Conducting deep dive analyses of business problems and formulate conclusions and recommendations to be presented to senior leadership.
• Leverage LLMs to generate Insights and drive growth discussions with Product teams.
• Producing written recommendations and insights for key stakeholders that will help shape effective metric development and reporting.
• Continuously invent, simplify, and automate your products, tools, services, and methodologies.
• Improving back-end data sources for increased accuracy and simplicity.
• Recognizing and adopting best practices in reporting, analyses, data quality and modeling.

About The Team
The Pricing & Promotions Science organization leverages planet scale multi-modal data on billions of Amazons and external competitor products to build advanced machine learning models for product similarity, substitutability, error detection & correction, and probabilistic price estimation, discovery and discount optimization, promotion & deal recommendation and ranking, and causal short- & long-term impact measurement. We preserve long term customer trust by ensuring Amazon's prices are always competitive and error free.

Basic Qualifications

• 10+ years of professional or military experience
• 5+ years of SQL experience
• Experience with AWS technologies
• Experience programming to extract, transform and clean large (multi-TB) data sets
• Experience with theory and practice of information retrieval, data science, machine learning and data mining
• Experience in scripting for automation (e.g. Python) and advanced SQL skills.
• Experience with theory and practice of design of experiments and statistical analysis of results

Preferred Qualifications

• Experience working directly with business stakeholders to translate between data and business needs
• Experience managing, analyzing and communicating results to senior leadership
• Experience using AWS services such as EC2, S3, Glue, Redshift, QuickSight, Lookout, Bedrock, Lambda, Step functions and SageMaker.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.

The base salary for this position ranges from $97,400/year up to $162,600/year. Salary is based on a number of factors and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. Applicants should apply via our internal or external career site.

Company
- Amazon Development Centre Canada ULC

Job ID: A

Salary range: The salary range for this position is CAD $ $119.03 / hour Why Fraser Health?:

The Executive Director (ED) of the Centre for Artificial Intelligence, Advanced Analytics and Innovation (CAADSI) is innovative, forward-focused, and passionate about large-scale digital transformation and complex change management. As a collaborative, inclusive and visionary leader, the ED leverages innovation, research and technology to transform patient and provider experiences.

Reporting directly to Chief Artificial Intelligence Officer & Vice President, Enterprise Technology, the Executive Director is a clear, caring, and courageous leader who spearheads the development, of a unified data governance strategy. The Executive Director will develop Fraser Health into an insight-driven organization using critically led, patient-powered and digitally enabled artificial intelligence that will be integrated into the clinical workflows across the enterprise.

The Executive Director is innovative, transformational and well informed on leading practices and technology and uses that knowledge to transform patient and provider experiences to deliver exceptional care in a culturally safe, sustainable, and equitable manner. The Executive Director brings forward technological innovations and well-thought-out clinical and business strategies to improve quality and performance, and drive outstanding patient experiences for the diverse populations we serve.

This exciting executive role provides a unique opportunity to create a seamless, digitally-enabled patient and provider experience across multiple platforms, while ensuring all Fraser Health's leaders are equipped with meaningful and timely analytics and information to optimize resource allocation, as well as strategic and operational planning.

Detailed Overview:

Supporting the Vision, Values, Purpose and Commitments of Fraser Health including service delivery that is centered around patients/clients/residents and families:

Reporting to the Vice President, Digital Patient and Provider Experience, the Executive Director, Centre for Advanced Analytics, Data Science, and Innovation (CAADSI) provides leadership and direction in the review and optimization of business systems, through integrated analytics services providing and interpreting key analytics on the status and standing of clinical and business operations.

Participates in the Senior Leadership Team of the Vice President, Digital Patient and Provider Experience portfolio, plans, implements and evaluates related physical, financial and human resources requirements support of the strategic and operational needs of Fraser Health, participates in the development of the mission, strategies and goals to ensure the optimum delivery of services.

Responsibilities:

Organizational:

• Develops and recommends short and long-range goals and objectives for portfolio departments ensuring plans support the goals, policies and vision of Fraser Health.
• Plans and implements operating and capital budgets for the reporting departments including budget preparation, authorization control and reporting of expenditures ensuring the efficient utilization of the financial resources of the departments within the objectives, plans and budgets established by senior FH Executives. Hold authority to allocate financial resources across departments to best meet portfolio and Fraser Health requirements.
• Provides senior leadership to all staff across the departments to build motivation to attain goals for the department, portfolio and organization. Develops and recommends organizational structures to reflect the operational needs, the responsibility of each employee and an on-going system for measuring performance.
• Oversees the recruitment and professional development of employees across the portfolio including responsibility to oversee and, as required, participates in the management of human resource matters for the portfolio of departments.
• Ensures the planning and implementing of effective quality improvement programs specific to each program area to achieve a high level of customer satisfaction.
• Ensures effective administrative systems for maintaining, evaluating, and reporting on the operations of the Department including departmental activities and progress on objectives and projects.

Specific Functions:

• Oversees and leads transformation of systems to effect change and improved results. Collaborates with leaders across FH to ensure effective management and transforms systems to better support operational and strategic objectives. Business process changes have authority wide implications and involve collaboration and consultation to resolve issues and arrive at consensus.
• Leads and contributes the overall business systems development and process redesign, report development, appropriate documentation and education of all systems development, enhancement and implementation.
• Provides direction and consultation to the Facilities Management and Public Private Partnership services in the areas of process management and system development.
• Provides business consultation and advice to senior management as required; plans, prioritizes, and directs numerous concurrent projects through all phases from planning to implementation and evaluation.
• Represents Fraser Health to government and other parties through participation on committees (such as the BCCSS Customer Services Committee), organizations and in advisory activities, as appropriate.
• Attends meetings of the Finance and Audit Committee and Board, as required.

Qualifications:

Education and Experience

Master's Degree in Business Administration, Health Administration, Health Informatics or related field, plus (10) to fifteen (15) years' of senior system analysis and transformation experience in a large, complex business environment, strategic transformation, multidisciplinary initiatives and project management.

COMPETENCIES:

LEADS Capabilities:

Demonstrates the leadership practices of the Fraser Health Leadership Framework of Clear, Caring and Courageous and creates the conditions for people to succeed.

Professional/Technical Capabilities:

• Demonstrated knowledge of process review, program evaluation principles and practices.
• Demonstrated ability to lead, plan, direct, manage and implement change.
• Demonstrated knowledge of health and business administration including strategic and operational planning, monitoring, analytical, evaluation and reporting expertise in a public sector and/or large complex environment.
• Demonstrated ability to direct a variety of cyclical operational, budgeting and financial planning processes.
• Demonstrated ability to work independently and as a member of a team.
• Demonstrated ability to develop and maintain rapport with internal and external stakeholders.
• Demonstrated ability to function effectively in a highly dynamic environment with changing priorities.
• Demonstrated judgment and decision-making capabilities including the ability to manage priorities and deadlines.
• Ability to operate related equipment including applicable software applications.
• Physical ability to perform the duties of the position.

Requisition #:
16616

Ansys is now a part of Synopsys. Synopsys, Inc. (Nasdaq: SNPS) accelerates technology innovation from silicon to systems. Catalyzing the era of pervasive intelligence, we deliver design solutions, from electronic design automation to silicon IP, to system design and multiphysics simulation and analysis. We partner closely with our customers across a wide range of industries to maximize their R&D capability and productivity, powering innovation today that ignites the ingenuity of tomorrow. Learn more at

As an Electronics Desktop Software Development intern, you will help develop our industry-leading simulation software while gaining real experience in your field of study. You will work on a variety of impactful projects to help maintain, advance, and accelerate Ansys products.

In this internship, you will support our Electronics Semiconductor and Optical Business Unit (ESOBU) with software development and data science for Ansys Electronics Desktop. This is a 40-hour per week paid position for Spring 2026 beginning January 2026 and concluding April 2026. This position is a
fully remote
opportunity.

Responsibilities

• Make improvements to the Ansys Product Improvement Program analytics system.
• Develop prototypes or test new solution strategies or algorithms.
• Investigate defects in existing code.
• Analyze results and communicate findings using visualization software.

Minimum Qualifications

• Pursuing a Master's degree in Computer Science
• Experience with Python and SQL.
• Solid background in algorithms and data structures.
• Strong analytical skills and willingness to learn.
• Some background in data science and/or machine learning.

Preferred Qualifications

• Experience with Azure Databricks, Spark, Power BI.
• Experience with C++ is nice to have.
• Experience with multi-threaded or parallel programming is nice to have.
• Experience with Go (language) is nice to have.

Rewards And Benefits
We offer a comprehensive range of health, wellness, and financial benefits to cater to your needs. Our total rewards include both monetary and non-monetary offerings. Your recruiter will provide more details about the salary range and benefits during the hiring process.

At Ansys, part of Synopsys, we want talented people of every background to feel valued and supported to do their best work. We consider all applicants for employment without regard to race, color, religion, national origin, gender, sexual orientation, age, military veteran status, or disability.

Overview
At KPMG, you'll join a team of diverse and dedicated problem solvers, connected by a common cause turning insight into opportunity for clients and communities around the world.

Our Vancouver team are looking for a highly motivated Data and Analytics Solution Architect at a Manager level to join our team As a member of KPMG Canada's Lighthouse team, you will be dedicated to enabling and optimizing our clients' cloud functionality across our data, analytics, and software solutions. This role will be a rewarding experience for you if you

• Thrive on challenges and work best in a fast-paced environment where each day is different.
• Work well in a project team environment and have strong collaboration and interpersonal skills.
• Have a natural "figure it out" mindset.

Innovate. Collaborate. Shine. Lighthouse - KPMG Canada's Center of Excellence for data advanced analytics and AI — applies data engineering, data science, AI/ML and software development expertise to architect data and analytics solution to solve real-word business problems, operationalize AI and optimize emerging technologies for its mission. Join a diverse team which is always curious and learning, thinking independently, working collaboratively, has a passion to solve difficult problems, and has fun doing it.

What You Will Do
As a manager, you'll lead and work as part of a team of problem solvers with extensive consulting and industry experience, helping our clients solve their complex business issues from strategy to execution. Specific responsibilities include but are not limited to

• Work with cross functional engagement teams to translate business and analytics requirements into a data, analytics and AI strategy and requirement for the engagement
• Architect and develop overall end-to-end design of data and analytics solutions across Data Lakes, Data Warehouses, Data Lakehouses, pipelines on modern data platforms such as Microsoft Fabric, Databricks and Snowflake (with a focus on the first two) on Azure, AWS and GCP (with a focus on the first) and lead the deployment and delivery of the solution
• Enforce technical architecture and documentation standards, policies, and procedures
• Analyze, implement, and resolve issues with existing modern data platforms
• Provide mentorship to a team of data engineers, software developers, and data scientists with a focus is on modern data analytics platform
• Lead the team to assemble large, complex data sets that meet functional / non-functional business requirements
• Identify, design, and implement internal process improvements automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Work with stakeholders including the Executive, Product, Data and Design teams to assist with data, analytics and AI-related technical issues and support their data analytics infrastructure needs
• Perform data management tasks, including data architecture design and data modeling, master data/metadata/data security/privacy/data quality management, data operations, data integration and interoperability
• Develop standards for data processes and automate routine tasks
• Run queries for descriptive analytics and provide formatted result sets
• Proactively contribute to the creation of presentation materials relating to data activities for stakeholder discussions
• Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader
• Take ownership of projects and pushing technological boundaries
• Presales, estimating and proposal writing, responding to RFPs
• Assist in scoping, estimation, and task planning for assigned projects
• Remaining up to date in new and emerging technologies

What You Bring To The Role
We will look to you to bring a blend of knowledge, training, and experience, including

• 6+ years of experience in data engineering, analytics, and AI (data/data platform architecture, design, implementation, and/or support of complex data and application architectures that are scalable and repeatable) ideally within a services/consulting organization
• Expertise in leading and mentoring team members toward developmental objectives and resilience to overcome challenges or setbacks to achieve team, project, and client goals
• Expertise in relational and non-relational databases, including query language (SQL);
• Expertise in building and optimizing data pipelines, architectures and data models for all data types, speed, and sizes
• Expertise in performing root cause analysis on internal and external data; processes to answer specific business questions and identify opportunities for improvement
• Expertise in building standards, processes supporting data, data transformation, data structures, metadata, dependency, and workload management
• A successful history of manipulating, processing, and extracting value from large discrete datasets
• Working knowledge of message queuing, stream processing, parallel processing, and data lakes
• Expertise in deploying and maintaining high performance computing VMs in on-premises and cloud environment

• Experience using a combination of industry relevant software/tools including some of the following

• Modern Data Analytics Platforms Microsoft Fabric, Synapse, Databricks, Snowflake

• Big data tools Hadoop, Spark, Kafka, etc.
• Relational SQL and NoSQL databases, including MS SQL Server, PostgreSQL, and Cosmos DB
• Data pipeline and workflow management tools Azkaban, Luigi, Airflow, etc.
• Azure, AWS and GCP cloud data services
• Stream-processing systems Spark-Streaming, Azure Event Hubs, etc.
• Object-oriented/object function scripting languages Python, Java, C++, Scala, etc.

Desired Experience, Certifications, And Abilities

• Relevant post-secondary education in a related field
• Azure Certifications Azure Data Engineer Associate, Azure Solutions Architect Expert
• Databricks Certifications Databricks Certified Data Engineer Associate, Databricks Certified Professional Data Engineer
• Experience in analytics, statistics, data mining, machine learning, natural language processing and/or mathematics is an asset
• Experience in visualization, visualization related technology (Tableau, PowerBI, D3, plotyldash, ) and data modeling within these tools is an asset

What makes you stand out

• You have fine-tuned your leadership skills and are comfortable leading diverse teams, overseeing a variety of engagements, as well as managing and coordinating expectations of stakeholders
• You see the big picture both as a consultant and as an internal contributor. You are motivated to create solutions that are practical and cost-effective solutions that are relevant to your clients' objectives and challenges
• You have developed a reputation as a knowledgeable professional in your area, possess a solution orientated and analytical mindset, and enjoy guiding others through complex and at times ambiguous challenges
• You're a self-starter that takes initiative to constantly improve your skillset and contribute to the overall performance and success of the practice
• You are an exceptional communicator, both verbally and written, with the ability to deliver professional communications, presentations, reports, and documentation
• You have developed a strong professional brand and presence in the community and enjoy contributing to and participating in events

KPMG BC Region Pay Range Information
The expected base salary range for this position is $93,000 to $155,000 and may be eligible for bonus awards. The determination of an applicant's base salary within this range is based on the individual's location, skills, & competencies, and unique qualifications. In addition, KPMG offers a comprehensive and competitive Total Rewards program.

Providing you with the support you need to be at your best
Our Values, The KPMG Way
Integrity
, we do what is right |
Excellence
, we never stop learning and improving |
Courage
, we think and act boldly |
Together
, we respect each other and draw strength from our differences |
For Better
, we do what matters

KPMG in Canada is a proud equal opportunities employer and we are committed to creating a respectful, inclusive and barrier-free workplace that allows all of our people to reach their full potential. A diverse workforce is key to our success and we believe in bringing your whole self to work. We welcome all qualified candidates to apply and hope you will choose KPMG in Canada as your employer of choice.

Adjustments and accommodations throughout the recruitment process
At KPMG, we are committed to fostering an inclusive recruitment process where all candidates can be themselves and excel. We aim to provide a positive experience and are prepared to offer adjustments or accommodations to help you perform at your best. Adjustments (informal requests), such as extra preparation time or the option for micro breaks during interviews, and accommodations (formal requests), such as accessible communication supports or technology aids, are tailored to individual needs and role requirements. You will have an opportunity to request an adjustment or accommodation at any point throughout the recruitment process. If you require support, please contact KPMG's Employee Relations Service team by calling