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Weather Data Analyst Jobs in Ontario (NOW HIRING)

Pelmorex

Data Scientist - Hybrid

Oakville, ON · Hybrid

An IDEAS (Inclusion, Diversity, Equity, Awareness, Solidarity) team Weather is inclusive, we will ... You will be responsible for developing sophisticated models, conducting deep-dive analyses, and ...

TSMG

Data collector / Driver in Ottawa, ON

Ottawa, ON · On-site

Due to poor weather conditions some areas will be visited multiple times in order to collect the ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

TSMG

Data collector / Driver in Barrie, ON

Barrie, ON · On-site

Due to poor weather conditions some areas will be visited multiple times in order to collect the ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

Force Inspection Services

$59 - $86/hr

... data into clear, actionable recommendations. Job DutiesFinancial Planning, Budgeting and ... Prepare rolling forecasts and scenario models that reflect seasonality, weather impacts, sales ...

TSMG

Location Data Specialist

Neustadt, ON · On-site

Due to poor weather conditions some areas will be visited multiple times in order to collect the ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

BBA, Inc.

Junior Advisor, Asset Analytics

Concord, ON · On-site

BBA's PAAM teamis an advanced multidisciplinary group of engineers, data scientists,economists ... weather, growing capacity needs and the integration ofnew technologies (e.g., electric vehicles ...

BBA, Inc.

Junior Advisor, Asset Analytics

Toronto, ON · On-site

BBA's PAAM teamis an advanced multidisciplinary group of engineers, data scientists,economists ... weather, growing capacity needs and the integration ofnew technologies (e.g., electric vehicles ...

BBA, Inc.

Junior Advisor, Asset Analytics

Toronto, ON · On-site

BBA's PAAM teamis an advanced multidisciplinary group of engineers, data scientists,economists ... weather, growing capacity needs and the integration ofnew technologies (e.g., electric vehicles ...

BBA, Inc.

Junior Advisor, Asset Analytics

Concord, ON · On-site

BBA's PAAM teamis an advanced multidisciplinary group of engineers, data scientists,economists ... weather, growing capacity needs and the integration ofnew technologies (e.g., electric vehicles ...

Pelmorex

Customer Success Specialist

Oakville, ON · Hybrid

... data analytics and/or weather products * Strong verbal and written communication skills, ability to effectively translate technical language to non-technical stakeholders. * Strong analytical mindset ...

StackandCo

Establishment of a new Data & Analytics function to provide data management and analytics ... weather to work in the Dublin office or to work in the Galway City office. Please Note The ...

Amazon

Site WHS Manager II

Brampton, ON

You'll conduct comprehensive risk assessments, analyze safety data, and implement practical ... and weather (delivery stations include outside loading departments) Must be available to work ...

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Weather Data Analyst information

What does a weather data analyst do?

A Weather Data Analyst collects, processes, and interprets meteorological data to help understand weather patterns and trends. They use statistical techniques and specialized software to analyze data from sources like satellites, weather stations, and radar systems. Their insights support industries such as agriculture, aviation, and disaster management by providing accurate weather forecasts and risk assessments. Weather Data Analysts also communicate findings through reports, visualizations, and presentations to help inform decision-making.

How does a weather data analyst typically collaborate with meteorologists and other team members to ensure accurate forecasting?

As a Weather Data Analyst, you will frequently work alongside meteorologists, software engineers, and other analysts to interpret large sets of weather data and develop actionable insights. Collaboration often involves regular meetings to discuss data trends, sharing findings through visualizations or reports, and refining data models based on feedback from the forecasting team. Your analyses directly impact the accuracy of weather predictions, so clear communication and teamwork are essential. Additionally, you may be involved in cross-functional projects that require integrating data from various sources to improve forecasting accuracy.

What are the key skills and qualifications needed to thrive as a weather data analyst, and why are they important?

To thrive as a Weather Data Analyst, you need a solid background in meteorology, statistics, and data analysis, typically supported by a degree in atmospheric science, mathematics, or a related field. Expertise with data analytics tools (such as Python, R, and GIS software) and familiarity with weather modeling systems or remote sensing data are commonly required. Strong problem-solving abilities, attention to detail, and effective communication skills help analysts interpret complex data and explain findings to diverse audiences. These skills ensure accurate weather predictions, informed decision-making, and the ability to translate technical insights into actionable information.

What is the difference between Weather Data Analyst vs Meteorologist?

AspectWeather Data AnalystMeteorologist
Required CredentialsBachelor's in Meteorology, Atmospheric Science, or related field; data analysis skillsBachelor's or higher in Meteorology, Atmospheric Science; often includes forecasting certifications
Work EnvironmentData centers, research facilities, officesFieldwork, TV stations, research institutions, weather agencies
Employer & Industry UsageWeather services, research firms, government agenciesBroadcast media, government weather agencies, research institutions
Common Search & ComparisonAnalyzing weather data, climate trendsWeather forecasting, climate prediction

The main difference is that Weather Data Analysts focus on analyzing weather data and trends using statistical tools, while Meteorologists forecast weather conditions and interpret atmospheric phenomena. Both roles require a background in meteorology, but Meteorologists often engage in public forecasting and fieldwork, whereas Weather Data Analysts primarily work with data analysis and modeling.

What are popular job titles related to Weather Data Analyst jobs in Ontario?

For Weather Data Analyst jobs in Ontario, the most frequently searched job titles are:

What job categories do people searching Weather Data Analyst jobs in Ontario look for?

The top searched job categories for Weather Data Analyst jobs in Ontario are:

Weather Data Analyst jobs near you
Infographic showing various Weather Data Analyst job openings in Ontario as of August 2026, with employment types broken down into 50% Full Time, and 50% Part Time. Highlights an 100% In-person job distribution.

Data Scientist - Hybrid

Pelmorex

Oakville, ON • Hybrid

Full-time

Retirement, PTO

Posted 23 days ago

Key responsibilities

  • Build predictive weather models by designing, training, and deploying machine learning and spatio-temporal models to predict demand, optimize forecasts, and quantify operational risk.

  • Conduct end-to-end exploratory analysis on complex meteorological datasets to uncover high-value patterns and translate probabilistic trends into strategic recommendations.

  • Partner with Sales, Marketing, and Customer Support to build analytics solutions for B2B initiatives and embed predictive algorithms into live APIs.

Job description

ARE YOU INTERESTED IN A WORKPLACE THAT HAS...

Flexible Hybrid Work Environment 
Retirement Savings Matching Plan (RRSP). Plan for your future with us! 
Personal Spending Account 
Up to $500 to spend on anything related to physical, mental or financial well-being (in addition to your Health Care Spending Account) 
Summer Hours 
Start your weekend earlier during the summer months!
17 Paid Days Off (in addition to 13 Personal Days) 
This includes an extra day off during the month of your birthday - our gift to you!
An IDEAS (Inclusion, Diversity, Equity, Awareness, Solidarity) team
Weather is inclusive, we will be too. Our IDEAS team is committed to making this happen!
 
HAVE WE GOT YOUR ATTENTION? WANT TO LEARN MORE?
 
Read about us here! (spoiler alert... we are the home of The Weather Network )
 
Proud to share that we ranked #5 Most Admired Company in Canada in Leger's 2026 Reputation Study, among 334 organizations
 
 
WHY WE NEED YOU? GLAD YOU ASKED...
 

We are seeking a versatile and highly skilled Data Scientist to join our dynamic team. This role is pivotal in driving data-driven decision-making across our B2B initiatives, with occasional contributions to our B2C sector and Adtech initiatives. You will be responsible for developing sophisticated models, conducting deep-dive analyses, and extracting actionable insights from complex datasets to optimize user experience and advertising performance.

This is a unique opportunity to work at the intersection of B2B weather intelligence and commercial data products, influencing the direction of our predictive algorithms under the mentorship of the Team Lead of Data Science working closely with leadership to align data strategies with business objectives. We offer a collaborative environment where innovation is encouraged and data-driven insights are at the heart of everything we do. 

Please note, we are only considering candidates who are eligible to work in Canada and can work in a Hybrid model at our Oakville location
 
WHAT DOES THE DAY-TO-DAY LOOK LIKE

  • Build Predictive Weather Models: You will design, train, and deploy machine learning and spatio-temporal models to integrate weather feeds with client sales data to predicting demand, optimizing forecasts, and quantifying operational risk.

  • Derive Actionable Insights: You will conduct end-to-end exploratory analysis on complex meteorological datasets to uncover high-value patterns and translate probabilistic trends into strategic recommendations.

  • Drive B2B & Commercial Growth: You will partner with Sales, Marketing, and Customer Support to build analytics solutions for B2B initiatives.

  • Optimize ML Performance: You will leverage distributed frameworks (e.g., PySpark, Dask, Ray) and modern ML stacks (Scikit-learn, PyTorch/TensorFlow, LLMs) to improve model speed, scale inference pipelines, and lower compute costs.

  • Own the Model Lifecycle: Take responsibility for the full end-to-end lifecycle, including testing, deployment, and ongoing monitoring to ensure production-grade stability and reliability.

  • Technical documentation: Actively document model architectures, data lineage, and decision logic to ensure reproducibility, facilitate peer review, and maintain long-term institutional knowledge.

  • Cross-Functional Collaboration: You will partner closely with Data Engineers, Product Managers, and Revenue leaders to embed predictive algorithms into live APIs and deliver scalable data products that solve real-world enterprise problems.

WE ARE HOPING YOU HAVE

  • Degree in a STEM discipline (Data Science, Statistics, Computer Science, or a related quantitative field); a Master's or PhD is preferred but not required. 

  • 3+ years of data science experience specializing in B2B environments, with expertise in spatio-temporal modeling, time-series forecasting, and weather data intelligence. 

  • High proficiency in Google BigQuery (SQL, window functions, query optimization, and large-scale data manipulation).

  • Advanced expertise in Python for statistical modeling, data science, and graphical visualization (e.g., Matplotlib, Seaborn, or Plotly), with hands-on experience using core ML libraries including NumPy, SciPy, Scikit-learn, and TensorFlow or PyTorch. 

  • Experience working with distributed computing frameworks (e.g., Apache Spark) to process large-scale datasets. 

  • Strong communication skills, including the ability to explain complex ideas to an audience with a non-technical background 

NICE TO HAVE

  • Proven experience developing and deploying Deep Learning models in industry or research environments. 

  • Familiarity with deploying Large Language Models (LLMs) or retrieval-augmented generation (RAG) pipelines for automated reporting, intelligent customer support routing, or unstructured data processing. 

  • Experience scaling models across large datasets using distributed processing frameworks.         

DON'T MEET ALL THE REQUIREMENTS? DON'T WORRY...
Not all applicants will have skills that match a job description exactly. Pelmorex values and welcomes diverse experiences. While having "desired" qualifications makes for a strong candidate, we encourage applicants with alternative experiences to also apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Pelmorex. We are always looking for people who will be a culture add (yup, that's right, we don't subscribe to culture fit, we want you to add to what we think is an amazing culture and work environment
INTERESTED? IT GETS BETTER....
  • Course Reimbursement Program We want you to keep learning, so we can too
  • Open and transparent communication, including All Hands Meetings with our CEO
  • Pelmorex Learning Academy
  • Your mental health is important to us! We partner with our Benefits provider for virtual counseling sessions
  • Frequent employee pulse surveys we value your feedback so we can continue to make Pelmorex a great place to work!
  • Free online doctor visits with Maple Online Healthcare
  • While we encourage 1:1 conversations, we recognize that not everyone is comfortable with speaking up We have an anonymous reporting platform to ensure everyone's voice is heard
OUR PROMISE TO YOU...

We're highly focused on doing the right thing.
We'll discuss issues and timelines professionally, so you have the time you need to do the best work you can
You will see the result of your work pushed out to real users quickly
We're a team that enjoys learning new technologies and we're open to trying new things
We'll try our best not to bog you down with boring meetings

Weather inspires, protects, and transforms. For 35+ years, Pelmorex has led the way with trusted forecasts and alerts. With innovation at our core, we provide precision, speed, and unmatched reliability-safeguarding lives, powering decisions, and driving business success. Whatever the weather, we turn its potential into action. We're Pelmorex. Imagine it and we'll deliver it.

Fair and Authentic Interview Experience
We welcome candidates using AI tools to prepare for interviews or to learn more about Pelmorex. During the interviews themselves, we expect responses to come from your own experience and thinking.
We ask that candidates not use real-time AI assistance, live answer prompts, or automated response tools during interviews. This helps ensure a fair process for everyone and allows us to evaluate how you approach problems and communicate in your own voice.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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