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dataroles

Senior Analytics Engineer

Boosted Open · verified Oct 24, 2026
Canada Full-time Senior Data Analysis & BI

At a glance

Senior Data Analysis & BI role at Boosted. Canada · full-time · no salary stated · we estimate CA$102,313–CA$131,000 across Canada.

Estimated pay

Boosted has not published a salary for this role. The figure below is our estimate, not theirs.

CA$102,313 – CA$131,000
What the middle half of senior data analysis & BI roles in Canada paid, among postings that did state a salary.
Worked out from 70 postings that stated pay, median CA$114,750. Last updated Oct 22, 2026.
RoleData Analysis & BI
SenioritySenior
LocationCanada
EmploymentFull-time
PostedAug 20, 2026 · 2mo ago
Role brief

dataroles summary, based on the employer's posting.

What you'll do

  • Analyze product and growth data, then turn the findings into insights clients can act on
  • Build semantic layers, data models and reporting so clients can explore data independently
  • Create dashboards and visualizations that make important measures and findings clear
  • Work with clients to shape business questions into analytical requirements, coordinating with technical teams on data quality and access
  • Guide junior analysts while keeping up with changes in analytics and visualization

What you bring

  • At least five years working in data analysis, preferably in consulting or professional services
  • Strong SQL skills are required, alongside a solid grasp of data modeling, ETL and database design
  • Experience with data visualization platforms such as Tableau, Power BI or Looker
  • Clear communication and presentation skills for explaining complex data to non-technical audiences

Who this fits

This role suits a senior analytics engineer comfortable balancing client work, multiple projects and mentoring junior analysts. It is fully remote with flexible hours, and the team meets in person once a year.

From the employer

About us

We are a technology consulting firm providing high-impact data and automation solutions in healthcare, fintech, and insurance. Our clients range from startups to well-established enterprises, including notable brands like Coinbase and GreenShield. You will join a team of over 40 members distributed across Canada, working in a remote-first environment. Our clients choose us because we practice extreme ownership and deliver solutions that truly work. We move quickly, think deeply, and take pride in our partnerships.

About the role

What we're looking for We are seeking a highly skilled and experienced Senior Analytics Engineer to join our dynamic team. The successful candidate will work on a variety of projects across different domains, utilizing the latest technologies and methodologies to design, build, and maintain robust data systems. This role requires a deep understanding of dimensional data modelling principles, and a passion for solving complex data challenges.

Responsibilities

  • Conduct advanced data analysis and interpretation to support product and growth analytics.
  • Develop and implement semantic layers, data models, and reporting solutions to enable self-service analytics for clients.
  • Design, build, and maintain dashboards and data visualizations to communicate key insights and metrics.
  • Work closely with clients to understand their business needs, translate them into analytical requirements, and deliver actionable insights.
  • Collaborate with data engineers, data scientists, and other stakeholders to ensure data accuracy, consistency, and accessibility.
  • Mentor and guide junior analysts, fostering a culture of continuous learning and improvement within the team.
  • Stay updated with industry trends, emerging technologies, and best practices in data analytics and visualization.

Qualifications

  • Bachelor's degree in Data Science, Statistics, Computer Science, or a related field is a nice-to-have. A Master's degree is a plus.
  • Minimum of 5 years of experience in data analysis, preferably in a consulting or professional services environment.
  • Strong understanding of data modeling, ETL processes, and database design.
  • Strong proficiency in SQL for data analysis is a must-have. Proficiency in Python or R is a plus.
  • Experience with data visualization tools such as Tableau, Power BI, or Looker.
  • Excellent communication and presentation skills, with the ability to convey complex data concepts to non-technical stakeholders.
  • Demonstrated ability to manage multiple projects simultaneously and deliver high-quality results within tight deadlines.
  • Experience in the Crypto, Retail, or Health/Insurance industries is an advantage.

Benefits and Perks

  • Flexible hours: We are a fully remote company. Work on your schedule–pick up the kids, go to the dentist–you decide when you work.
  • Compensation: We offer a competitive salary and health benefits package, including a Wellness spending account.
  • Continuous learning: Access a dedicated learning budget to deepen your expertise.
  • Time off: It’s no secret we all have lives outside of work. Jet off to your favourite spot or just relax with flexible paid vacation days and sick days.
  • Annual team retreat: Once a year, we meet in person to collaborate, reconnect, and reset.


Opportunity

Data Analysis & BI work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Data Analysis & BI

Find me work

By the team behind dataroles.

Find me work
Opportunity

Data Analysis & BI work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Find me work

By the team behind dataroles.