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Added 3 days ago
AA
Software Engineer IV, Viper Engineering
ACV Auctions
Toronto, ON
- Full-time
Develop Services using modern language stacks like Go Lang , Postgres and NoSQL databases like mongo, SQL Server is nice to have.
Added 3 days ago
CA
Data Engineering & Platforms Manager
Canadian Addiction Treatment Centres (CATC)
Markham, ON
- Full-time
Reporting to the Director of Information Technology, the Manager will have primary responsibility for CATC's Azure SQL data warehouse and the Python, SQL and dbt-based pipelines,…
Added 3 days ago
Business System Analyst (BFSI)
Capgemini
Toronto, ON
Hands-on experience working with SQL, Pyspark and Snowflake in a data delivery or analytics environment.
Added 3 days ago
R
Manager, AML Model Testing
RBC
Toronto, ON
- Full-time
Hands-on experience with SQL, SAS, Python and Dataiku for data processing, querying and automation.
Added 3 days ago
RE
Data Operations Engineer AI - Co-op Student (Winter 2027)
Rodan Energy Solutions Inc.
Mississauga, ON
- Internship
Basic scripting or programming experience such as Python, SQL, JavaScript, or equivalent.
Added 3 days ago
MD
Application Developer - ITS3
Minnesota Direct Care and Treatment
Saint-Paul, NB · St.-Paul, NB
- Full-time
…solution design, C# development, API integration, and Oracle and SQL Server databases. The position will play a key role in modernizing legacy systems by migrating applications to current…
Added 3 days ago
D
Manager, Actuarial Insurance Solutions (AIS) - Property & Casualty
Deloitte
Toronto, ON
- Full-time
Added 3 days ago
C
DataStage Developer
Cognizant
Canada
- Full-time
Write, tune, and optimize advanced SQL and PL/SQL queries for relational databases like Oracle, DB2, or SQL Server.
Added 3 days ago
AS
Senior Data Developer
AgileGrid Solutions
Canada
- Full-time
We are seeking a Senior Data Developer (Engineer) to help build the data foundation for Contact Distributor, Intact’s new platform for broker and distributor master data. This platform will…
Added 3 days ago
GM
Senior QA (Candidate must know French)
Galactic Minds INC
Canada
- Contract
…systems can handle market volatility. You will use complex SQL to deep-dive into our databases, validating that every byte of data flowing through our AWS pipelines is accurate, compliant,…
Added 3 days ago
T
Senior Manager, Analytics and Insights
TD
Toronto, ON
- Full-time
…maintaining and enhancing data and reporting processes using SQL, Python, Tableau/Power BI, and other analytic and business intelligence…
Added 3 days ago
T
Software Engineer II
TD
Toronto, ON · Montreal, QC
- Full-time
Works as the senior or lead developer and coaches/guides team members within area of expertise
Added 3 days ago
T
TDS Operations Analyst II, Client Enablement
TD
Toronto, ON
- Full-time
Proficiency in data management tools (e.g., Excel, SQL), with a strong capacity to analyze data,
Added 3 days ago
Software Engineer IV, Viper Engineering
ACV
Toronto, ON
Develop Services using modern language stacks like Go Lang , Postgres and NoSQL databases like mongo, SQL Server is nice to have.
Added 3 days ago
AI
Testing/QA Specialist
Avanciers Inc.
Toronto, ON
- Contract
Strong understanding of databases such as SQL, Oracle.
Added 3 days ago
D
Data scientist
Desjardins
Levis, QC · Montreal, QC · Complexe Desjardins Montréal
- Full-time
Proficiency in Python and SQL, combined with a strong knowledge of the main data processing, analysis, and modelling libraries
Added 3 days ago
D
Data scientist
Desjardins
Levis, QC · Montreal, QC · Complexe Desjardins Montréal
- Full-time
Proficiency in Python and SQL, combined with a strong knowledge of the main data processing, analysis, and modelling libraries
Added 3 days ago
OU
Quality Assurance Analyst
ONTARIO UNIVERSITIES APPLICATION CENTRE
Guelph, ON
- Full-time
Knowledge of SQL and basic database concepts.
Added 3 days ago
B
Data Science Developer - Senior (Statistics/ Predictive Modelling and Machine Learning/LLM/RAG exp)
Bevertec
Toronto, ON
- $65 to $70 CAD / hour
- Contract
Job Role: Data Science Developer - Senior (Statistics/ Predictive Modelling and Machine Learning/LLM/RAG exp)
Added 3 days ago
NE
Sales Operations Analyst
Nexus Energy Inc.
Toronto, ON
- $60,000 to $80,000 CAD / year
- Full-time
Working knowledge of SQL, with experience pulling, cleaning, and analyzing data from relational databases to support sales insights, pricing, and performance tracking.
Added 3 days ago
M
Directeur(trice) de l’analytique marketing / Director of Marketing Analytics
Manmade
Montreal, QC
- Full-time
Maîtrise avancée de SQL et d’Excel, ainsi qu’une solide expérience avec des outils d’intelligence d’affaires comme Looker, Tableau, Power BI ou des outils similaires.
Added 3 days ago
T
Analytics Engineer
Tantalus
Burnaby, BC
- Full-time
Experience querying, manipulating, and analyzing data using SQL.
Added 3 days ago
LC
System Analyst, Intermediate
Linamar Corporation
Guelph, ON
- Full-time
Develop and maintain SQL queries to support reporting and analytics needs
Added 3 days ago
Supply Chain Analyst - Data & Analytics
Freedom Mobile
North Vancouver, BC
Create and optimize SQL queries and leverage data platforms such as Snowflake.
Added 3 days ago
P
Data Science Intern
Plusgrade
Toronto, ON · CAN - Toronto
- Full-time
…Senior Manager of Data Science, you will build and ship the developer tools and observability systems that keep our production machine learning models running reliably. You will spend your…

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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