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Added 2 mins ago
KC
Senior Mechanical Engineer - Hydro
Klohn Crippen Berger
Vancouver, BC
- Other
Klohn Crippen Berger (KCB) is seeking an experienced Senior Mechanical Engineer to join our Power and Transportation Group. This leadership role is ideal for a seasoned engineer with 15+…
Added 2 mins ago
L
Principal AI/ML Engineer
lululemon
Vancouver, BC
- Full-time
As a Principal AI/ML Engineer, you will define and drive implementation approaches for enterprise-scale AI initiatives that transform how lululemon operates and delivers value. You will…
Added 17 mins ago
H
Electrical Engineer
HDR
Toronto, ON
- Full-time
We believe building engineering is more than systems and structures, it’s about powering progress and enabling innovation. As part of HDR’s Building Engineering Services Group, you’ll help…
Added 17 mins ago
H
Electrical Engineer
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- Full-time
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Added 32 mins ago
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Senior Water Resources Engineer
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- Full-time
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Added 32 mins ago
TI
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Added 32 mins ago
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Added 32 mins ago
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Junior Civil Engineer – Water Resources & Hydrology
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Added 32 mins ago
BS
Estimator, Senior
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Added 32 mins ago
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Lead Process Engineer
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Added 47 mins ago
Renewable Power Senior Engineer
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Solar Lead, Senior EOI
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Added 1 hour ago
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Senior Geotechnical Engineer - - PL#81213
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- Full-time
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Senior Civil Engineer/Civil Project Manager
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Added 1 hour ago
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Added 1 hour ago
BC
Intermediate Electrical Engineer
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Added 1 hour ago
AS
Senior Data Developer
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Added 1 hour ago
T
Software Engineer II
TD
Toronto, ON · Montreal, QC
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Added 1 hour ago
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Senior IT Systems Engineer
arcadia
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- $150,000 to $185,000 CAD / year
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Added 1 hour ago
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AI Engineer - Senior Consultant
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Added 1 hour ago
SG
Field Service Engineer
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…do mechanical adjustments, trouble shoot and repair control systems. Promote improvement of line performance and efficiency as part of continuous improvement…
Added 1 hour ago
OM
Senior Quality Technician
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Ottawa, ON
- Full-time
Reporting to the Quality Engineer the Quality Technician, ensures the highest standards of product quality and accuracy by conducting comprehensive inspections, measurements, and…
Added 1 hour ago
ZL
Aerospace Quality Engineer
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- Full-time
Support the Program Lead in escalating blockers that require senior customer authority to resolve

Tantalus

Analytics Engineer

Burnaby, BC, V5G 0B3, Canada

Full-time

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Job details

Job type: Full-time
Experience: 0–2 years of relevant experience in analytics, data science, software development, AI/ML, business intelligence, or a related technical field.
Posting language: English
Posted: Nov 4, 2026

Original job description

About Tantalus Systems (TSX: GRID)

Tantalus is a technology company dedicated to helping utilities modernize their distribution grids by harnessing the power of data across all their devices and systems deployed throughout the entire distribution grid – from the substation to the EV charger located behind the meter. We offer smart grid solutions across multiple levels: intelligent connected devices, communications networks, data management, enterprise applications and analytics. Learn more at http://www.tantalus.com/.

Come join us if you’re interested in being part of an entrepreneurial team, solving complex technical problems and delivering innovative solutions that will directly impact the electrification of everything and the decarbonization of our society.

We have operations throughout the United States and Canada with offices in Burnaby (British Columbia, Canada), Raleigh (North Carolina, USA), and Norwalk (Connecticut, USA).

This position offers a competitive salary plus variable compensation based on performance targets and business objectives. Tantalus also offers generous benefits, including medical, dental and vision plans, healthcare and dependent care flexible spending accounts and paid time off.

The Opportunity

Tantalus is seeking an early-career Analytics Engineer to join our Customer Operations team, reporting to the Senior Director, Customer Experience.

In this role, you will help turn data from Tantalus Advanced Metering Infrastructure (AMI) deployments into clear, actionable insights for utilities and internal teams. You will build reporting tools, automated analyses, dashboards, benchmarks, and data-driven workflows that demonstrate how Tantalus solutions are improving outage response, power quality, system reliability, and operational performance.

This is an opportunity to work at the intersection of utility operations, data analytics, AI, and customer outcomes. You will help customers understand the measurable value of their Tantalus deployments while supporting internal teams with the insights needed to improve onboarding, service delivery, network operations, and future analytics offerings.

Role Location

This is a hybrid role based in one of Tantalus' offices in Burnaby, BC; Chattanooga, TN; or Raleigh, NC.

Specifically, the Analytics Engineer will:

Build and enhance automated reporting tools, dashboards, and analytical workflows using AMI, outage, power quality, and utility operational data.
Develop reporting and trend-analysis capabilities that help customers quantify the operational value and performance improvements delivered through their Tantalus deployments
Analyze outage performance, reliability, power quality, device performance, and other operational metrics to identify meaningful trends, risks, and improvement opportunities.
Support the development of benchmarking models that compare performance across customer deployments and help utilities understand their relative cost position and operational outcomes.
Enhance existing analytics models, reporting frameworks, and internal analytics initiatives.
Apply AI, machine learning, and automation techniques to improve reporting accuracy, scalability, and insight generation.
Work with Customer Operations and implementation teams to support customer onboarding to analytics offerings, including data validation, report configuration, and ongoing reporting needs.
Partner with Product, Engineering, Analytics, and NOC teams to identify data requirements and deliver practical, scalable reporting solutions.
Help develop analytics and reporting capabilities that support the growth and ongoing operation of Tantalus’s Network Operations Center.
Prepare analytical reports, visualizations, and documentation that support data-driven decision making and continuous improvement.

What you Bring:

Education and Experience

Bachelor’s degree in Computer Science, Data Science, Software Engineering, Statistics, Mathematics, Engineering, or a related field.
0–2 years of relevant experience in analytics, data science, software development, AI/ML, business intelligence, or a related technical field.
Proficiency in Python, including experience using Python for data analysis, automation, reporting, or machine learning applications.
Experience querying, manipulating, and analyzing data using SQL.
Experience using data analysis, data visualization, or machine learning tools to develop reports, dashboards, or analytical solutions.
Internship, co-op, academic project, or research experience involving data analytics, machine learning, software development, or reporting solutions is considered valuable.
Foundational understanding of statistics, machine learning, data analytics, and data visualization principles.
Experience building dashboards, reports, data pipelines, automated workflows, analytical applications, or internal tools.
Ability to translate ambiguous business questions into structured analytical approaches and practical outputs.
Strong analytical, problem-solving, and critical-thinking skills.
Strong verbal and written communication skills, with the ability to explain technical findings clearly to technical and non-technical audiences.
Ability to work independently, manage priorities, and collaborate effectively in a hybrid, cross-functional environment.

Personal Attributes Required

Curious and eager to learn, with a strong interest in AI, analytics, and emerging technologies.
Self-motivated and able to work independently while managing competing priorities in a hybrid work environment.
Strong problem-solving skills with the ability to think critically and approach challenges with creativity and resourcefulness.
Detail-oriented with a commitment to delivering accurate, high-quality work.
Collaborative team player who enjoys working across departments and building relationships with both technical and non-technical stakeholders.
Customer-focused mindset with a desire to understand customer needs and translate data into meaningful business outcomes.
Effective communicator with the ability to explain complex information in a clear and concise manner.
Adaptable and comfortable working in a fast-paced environment where priorities and business needs may evolve.

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More about this job

Responsibilities

The Analytics Engineer will build and enhance automated reporting tools, dashboards, and analytical workflows using utility operational data. They will also partner with cross-functional teams to deliver scalable reporting solutions that quantify the operational value of Tantalus deployments.

Requirements

Candidates must hold a bachelor's degree in a technical field such as Computer Science, Data Science, or Engineering. The role requires 0-2 years of experience with proficiency in Python, SQL, and data visualization tools.

Skills

Python
SQL
Data analysis
Data visualization
Machine learning
Reporting
Dashboard development
Automation
Statistics
Analytical modeling
Problem-solving
Communication
Critical thinking
Data validation
Technical documentation
Cross-functional collaboration

Benefits

Medical plan
Dental plan
Vision plan
Healthcare flexible spending account
Dependent care flexible spending account
Paid time off

Visa sponsorship

Not detected in the job text

Keywords

Analytics Engineer
Smart Grid
AMI
Advanced Metering Infrastructure
Python
SQL
Data Science
Machine Learning
Artificial Intelligence
Business Intelligence
Data Visualization
Dashboarding
Automation
Utility Operations
Power Quality
Outage Management
Benchmarking
Data Pipelines
Customer Operations
Network Operations Center
Electrification
Decarbonization
Software Engineering
Statistics
Mathematics
Reporting Frameworks
Technical Analysis
Operational Metrics
Data-driven Decision Making
Scalable Solutions

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