7 Data Analysis jobs in British Columbia

Job Description

Job Description

Status: Temporary, Full-Time; term ends Dec 31, 2026
Number of Positions: 1
Work Location: Vancouver, BC - Hybrid (a combination of in-office and remote work)

Who we are

The British Columbia College of Nurses & Midwives (“BCCNM”) is the college empowered under the Health Professions Act to regulate the practice of all licensed practical nurses, nurse practitioners, registered midwives, registered nurses, and registered psychiatric nurses in British Columbia. Regulation helps to protect the public by ensuring that professional care or service received by the public is competent, ethical, and meets the standards that society views as acceptable.

BCCNM’s commitment to Indigenous Specific Anti-Racism

BCCNM is committed to working with Indigenous Peoples and health system partners to support Indigenous-specific anti-racist practices in the health system. As the largest health regulator in Western Canada, BCCNM has the opportunity to influence the health professionals we regulate, as well as the broader health-care system, to break the cycle of racism, and improve health outcomes for Indigenous Peoples. BCCNM has pledged to become culturally safe and anti-racist, and to support the health professionals we regulate to do the same.

What we offer you

We promise to provide you with rewarding work that challenges you. You will be part of a passionate team contributing to our important mandate of protecting the public. As a member of the team, you can expect to be working in a collaborative, team-based environment, and treated in a respectful and professional manner.

The expected starting base salary for this position is $83,528 - 88,336 annually, depending on a variety of factors including qualifications and experience. Once hired, you will progress through a wider salary range over time as you continue to develop job knowledge, skills and competencies for the role.

In addition to base salary, the college offers a generous vacation and extended benefits package. As an employee, you receive 100% employer-paid health and dental benefits. And we contribute to B.C.'s Municipal Pension Plan to help you secure your retirement income. Throughout your career with us, you will engage in a variety of learning and development. We will support your professional development and cover your professional membership costs. To support you in work and life, we provide an employee assistance program and fitness allowance perk. Working with us allows you to enjoy flexible hybrid work. This position is located in Vancouver, but you’ll be able to work remotely up to 3 days a week. Our office is closed for the 11 statutory holidays in B.C. as well as Easter Monday and Boxing Day.

What you’ll be doing

The DA is responsible for analyzing and interpreting complex datasets to provide actionable insights to the business. This includes redesigning and rebuilding existing reports, developing new analytical tools, and supporting the data team in operational tasks. The DA works closely with data engineers, business analysts, and business stakeholders to ensure the successful delivery of reporting and analytics solutions.

The DA also supports the data governance and data quality strategies by maintaining artifacts such as data dictionaries, lineage, and business rules. This role requires a strong understanding of SQL, Power BI, and Microsoft Fabric, along with the ability to adapt to new technologies and processes.

Internally, the DA works closely with the Operations Department and other business users within BCCNM.

Externally, the DA works with external stakeholders of the College, which may include other consulting firms, Health Regulators, the Ministry of Health and other agencies or bodies in the health care industry.

Together with Data Team, the work of the Data Analyst helps to promote organizational and operational effectiveness and promotes BCCNM’s information governance by ensuring data accuracy, quality, and integrity.

Key Responsibilities include:

1. In consultation with the Manager, Business Intelligence and Data, contributes to and advocates for the management of data as a key strategic asset.
2. Work together with data engineers, data analysts, business analysts, business SMEs, records analysts, and privacy analysts to understand data needs and create effective, secure data workflows.
3. Participate in reporting requirements sessions with product owners, data stewards, and SMEs to gather and document business needs.
4. Contribute to design activities, including identifying data attributes in source systems, defining transformation rules, and supporting data modeling efforts.
5. Collaborate with the data team to ensure the designed solutions align with the overall data architecture and business goals.
6. Support the design, implementation, and maintenance of data pipelines for data ingestion, processing, and transformation in Microsoft Azure Cloud.
7. Utilize Azure Data Factory, SSIS or comparable technologies to create and maintain ETL (Extract, Transform, Load) operations.
8. Assist in creating and maintaining data storage solutions, including Azure SQL Database, Azure Data Lake, and/or Azure Blob Storage.
9. Develop new reports and dashboards to meet business requirements, ensuring they are optimized for performance, usability, and scalability.
10. Support the data team in operational tasks, including monitoring and troubleshooting data pipelines and reports built in Power BI.
11. Assist in maintaining and updating Power BI workspaces, roles, and access permissions.
12. Collaborate with the data team to implement and enforce data governance policies.
13. Perform data quality checks, build data quality dashboards and ensure data integrity across systems.
14. Document data processes, report logic, and data lineage.
15. Implement data validation and cleansing procedures to ensure the quality, integrity, and dependability of the data.
16. Monitor and resolve data pipeline problems to ensure consistency and availability of the data.
17. Identify opportunities to improve data processes, reporting tools, and analytical capabilities.
18. Stay updated on industry trends and best practices in data analysis and visualization.
19. Ensure compliance with data governance, privacy, and security policies.
20. Demonstrate a commitment to ongoing learning related to Indigenous cultural safety and humility to constructively disrupt Indigenous-specific racism in BC’s healthcare system.
21. Foster and maintain an organizational culture that promotes equity, diversity, inclusion, mutual respect, teamwork, and service excellence.

Your education & skills

• A bachelor’s degree in computer science, Information Systems, Data Analytics, or another quantitative field, plus relevant experience.
• Minimum 3 to 5 years of experience working with relational databases, query authoring (SQL), and familiarity with a variety of databases.
• Proven experience in report development using Power BI, SSRS, and Excel.
• Advanced knowledge of SQL for data querying, manipulation, and analysis.
• Proficiency in Power BI (DAX, data modeling, visualization best practices) and experience in setting up and managing Power BI workspaces and access controls.
• Familiarity with data visualization best practices and design principles.
• Experience with ETL (Extract, Transform, Load) processes using Azure Data platform, Microsoft Fabric or similar technologies.
• Knowledge of data warehouse and data mart design, implementation, and maintenance using Microsoft Azure Data Platform (e.g., Azure Synapse, Azure SQL Database, Azure Data Lake).
• Experience with Microsoft Dynamics 365 (D365) is considered a nice-to-have.
• Strong analytical skills related to working with structured and unstructured datasets.
• Experience performing root cause analysis on internal and external data to answer specific business questions and identify opportunities for improvement.
• A successful history of manipulating, processing, and extracting value from large, disconnected datasets.
• Demonstrated knowledge and application of relevant legislation, ethical and legal obligations, and guidelines relating to privacy, confidentiality, and security of information.
• Experience supporting data governance and data quality initiatives, including maintaining data dictionaries, lineage, and business rules.
• Excellent oral, written, and interpersonal communication skills. Ability to use audience-appropriate communication and language to present information, analyze results, and convey concepts.
• Ability to collaborate effectively with cross-functional teams, including data engineers, business analysts, and business stakeholders.
• Ability to plan, prioritize, and manage workload within a time-sensitive environment.
• Ability to work outside of regular work hours, on occasion, to ensure the smooth functioning of related systems and deliverables.
• Knowledge of Canadian colonial impacts on Indigenous people in social and health contexts, including social, economic, political, and historical realities impacting Indigenous communities.
• Familiarity with Indigenous-specific anti-racism and accompanying reports (e.g., The Truth & Reconciliation Commission’s 94 Calls to Action (2015), the In Plain Sight Report (2020), and Reclaiming Power and Place’s Calls for Justice (2019)) is an asset.
• Demonstrated understanding of equity, diversity, inclusion, and cultural humility as they apply to healthcare is an asset.

How to Apply

If you are interested in this position, please apply online by 11:59pm on July 15, 2025 . This opportunity will remain posted until filled; however, priority consideration will be given to those who apply by the deadline. To see a full list of our current opportunities or to learn more about working at the BC College of Nurses & Midwives, please visit our website at Careers at BCCNM.

Collection Notice

To apply to a job posting, you need to create an online account with BCCNM. To create an online account as well apply for a job posting, you’ll be asked to provide personal information.

The BC College of Nurses and Midwives (BCCNM) collects your personal information for the purposes of creating your online account as well as for recruiting, evaluating, and selecting employees. The legal authority for collecting this information is under section 26 British Columbia’s Freedom of Information and Protection of Privacy Act . If you have any questions, please contact

Please note : BCCNM no longer requires staff, contractors, board and committee members, and volunteers to provide an attestation of vaccination related to the Covid-19 pandemic.

In the event of a Public Health Order being issued, the College is committed to full compliance with all directives and guidelines set forth by the Provincial Health Officer (PHO) to ensure the safety and well-being of our employees and the community partners we work with, consistent with the duty of the College to serve and protect the public.

Description
Are you passionate about building business insights that drive decision making at highest levels? Do you want to be part of fast-paced, ambiguous environment and contribute to Intellectual Property Protections charter?
As a Sr. BIE, from Day 1, you will be challenged with solving complex and ambiguous data and metric problems , creating datasets, reports and dashboards to metadata modeling, pipeline monitoring, and more.
What are we looking for?
- You have a track record of end-to-end ownership and successfully delivering results in fast-paced and dynamic business environment.
- You live and breathe data. You are passionate about finding root causes, trends, and patterns and how they impact business. You use data to support your ideas and drive actionable outcomes, and draw inferences and conclusions based on data.
- You should be able to work on complex initiatives, deal with ambiguity and work with senior leaders
- You have extensive experience working with extremely large data sets and are comfortable with various tools and technologies to consume, extract and transform data.
- You have business communication skills to be able to work with product owners to understand key business questions, and are able to build solutions (analysis/ reports / dashboards) that enable product owners to answer those questions quickly and accurately.
- You are comfortable juggling competing priorities and handling ambiguity. You thrive in an agile and fast-paced environment on highly visible projects and initiatives.
Key job responsibilities
- Be highly data driven, resourceful, customer-obsessed and team oriented
- You will transform data into actionable business information, and will make it readily accessible to stakeholders worldwide.
- You will help translate analytic insights into concrete, actionable recommendations for business or product improvement.
- You will develop dashboards that provide insights into the health and state of the business, create analytics solutions to drive deep dives, and determine ways to measure impact.
- You will provide insights and analytical solutions to help drive operational efficiencies, uncover the hidden risks and trends, reduce investigation errors, improve customer experience and predict & recommend the optimizations for future state.
- You will interact with internal program, product, engineering, data & science owners to gather requirements, structure scalable and perform data solutions, and gain a deep understanding of key datasets.
- You will own the design, creation, and management of extremely large datasets.
- You will be responsible to tune query performance against large and complex data sets.
- You will design, implement and drive adoption of new analytic technologies and solutions and promote industry standard best practices.
- Be able to clearly communicate strategic findings and recommendations
- Translate complex, technical concepts into business terms and vice versa
About the team
The IPP team is a part of Amazon's Selling Partner Services (SPS) organization. The team's vision is to use data provided by Brands in the Brand Registry to prevent Brands eligible for protections worldwide from ever seeing an ASIN on Amazon that has invalid data (e.g. misuse of trademarks, copyright) associated with their Brand on Amazon. We strive to make Amazon the best way for Selling Partners to operate their businesses by protecting their intellectual property while reaching customers locally and globally.
Basic Qualifications
- 10+ years of professional or military experience
- 5+ years of SQL experience
- Experience programming to extract, transform and clean large (multi-TB) data sets
- Experience with theory and practice of design of experiments and statistical analysis of results
- Experience with AWS technologies
- Experience in scripting for automation (e.g. Python) and advanced SQL skills.
- Experience with theory and practice of information retrieval, data science, machine learning and data mining
- Knowledge of data warehousing and data modeling
Preferred Qualifications
- Experience working directly with business stakeholders to translate between data and business needs
- Experience managing, analyzing and communicating results to senior leadership
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.

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 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 hands-on engineer, with high learn and be curious, that is able to invest, simplify, and deliver for their customers. We are looking for a person with broad 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 intelligence experience and an entrepreneurial mindset.
Key job responsibilities
- Support business intelligence for your business and its customers.
- Develop, build, and deliver analytical reporting, models and business strategy
- Conduct 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.
- Produce 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.
- Recognize and adopt 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
- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Experience working as a BIE in a technology company
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with data modeling, warehousing and building ETL pipelines
- Experience in Statistical Analysis packages such as R, SAS and Matlab
- Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
- Bachelors Degree
Preferred Qualifications
- Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
- Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets
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 $76,400/year up to $127,600/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.

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.

Job Description

Job Description

Job Title: Analytics Engineer – Data Modeling & Migration
Location: Remote (Canada)
Department: Data & Analytics
Reports To: Manager, Data Integration & Architecture
Mogo is seeking an Analytics Engineer who thrives at the intersection of business understanding and technical execution. In this dual-focus role, you will work closely with stakeholders across the finance business to define and build semantic models in Snowflake, while also contributing to upcoming data migration initiatives that involve rebuilding and modernizing our core Python-based ETL pipelines.

This position is a 50/50 blend of business-facing semantic modeling and production-grade data engineering, offering a unique opportunity to drive both insight accessibility and data infrastructure modernization. You will become the subject matter expert (SME) for Mogo’s core consumer finance products and help shape the next generation of AI-powered analytics at Mogo.
 
Base salary for this role: $80,000 - $100,000 CAD
 
What You’ll Do & Key Responsibilities:

1. Business-Facing Semantic Modeling (50%)

• Design and maintain semantic data models in Snowflake to support our products, powering self-service analytics via Cortex Analyst.
• Partner with Finance, Product, and Risk teams to define KPIs, translate business logic into reusable data models, and ensure consistent reporting.
• Collaborate on the development of an AI-powered chatbot using Streamlit (Python) that answers natural language questions based on semantic models.
• Act as the SME for Mogo’s core consumer finance products, ensuring models are well-aligned with business workflows and financial reporting needs.

2. Data Engineering & Migration (50%)

• Support and lead aspects of data migration initiatives by analyzing, redesigning, and implementing production-grade Python ETL pipelines.
• Ensure new data pipelines are reliable, scalable, and observable, with appropriate documentation and governance.
• Work closely with other teams to integrate ETL pipelines into the broader production environment.

3. Culture & High Performance

• Embody and model Mogo’s high-performance attributes: ownership, collaboration, innovation, speed, and impact.
• Share knowledge and best practices across teams to foster data-driven decision-making.

What you will bring:

• 4–7 years experience in a data engineering, analytics engineering, or hybrid data role.
• Strong proficiency in Python for building, testing, and maintaining ETL workflows.
• Experience building or maintaining semantic data models in Snowflake or similar platforms.
• Strong understanding of SQL, data modeling, and dimensional modeling practices.
• Ability to work closely with stakeholders to capture requirements and translate them into robust data structures.
• Experience working with AI powered analytics tools or interfaces (e.g., Cortex Analyst, conversational analytics).
• Familiarity with best practices in production-grade ETL deployment: testing, monitoring, observability.

Preferred Qualifications

• Experience with data orchestration tools (e.g., Talend, Airflow).
• Experience with data visualization tools (e.g., Looker)
• Familiarity with financial services, particularly lending, credit risk, or loan servicing.
• Experience contributing to data platform modernization or migration initiatives.

What Success Looks Like

• Lending business teams rely on your semantic models for fast, self-serve answers to critical questions.
• You have redesigned and deployed reliable Python ETLs that support Mogo’s modern data infrastructure.
• You’re known across teams as the go-to expert for our core data and a trusted technical partner in data transformation efforts.

Benefits of working with us:

• ALWAYS FULLY REMOTE WORK - Enjoy the flexibility of remote work, supported by necessary resources #LI-Remote
• Comprehensive Health and Wellness - Access medical, dental, and vision coverage plus a Health Spending Account
• Stock Options - Have a stake in the company's success through stock options
• Flex Vacation - Benefit from paid time off, including vacation days, holidays, and personal days
• Wellbeing Programs - Access counselling services, mental health support, and additional wellness resources

About Us:

We help make it easy for Canadians to achieve financial freedom while making a positive impact.
We live in the most innovative and technologically advanced era, yet so much struggle exists. Most of us are far from where we want to be financially.
We all want a better future. A better world where reaching financial freedom is a question of when, not if. One that's equitable so that all can prosper. One that's safe from the impact of climate change.
Our money has the power to change the world. It’s up to us to do things differently.

Apply today! Do you know anyone who would be a great fit for this role or other roles on our career page? Please share this job posting with them! Mogo is an inclusive place to spend your work life. We hire team members for their talent and diverse backgrounds. Bring your unique perspective to Mogo and help our customers achieve their best financial lives.

Powered by JazzHR

qxKfhILITW