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Entry Level Data Analyst jobs in Canada

Data Scientist (Azure, Python, and SQL) - Toronto, ON

Source Code

Toronto
Remote
CAD 80,000 - 120,000
15 days ago
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Senior Data Engineer - Analytics Pipelines (Remote)

TapMango

Toronto
Remote
CAD 120,000 - 150,000
15 days ago

Senior Data Engineer (Analytics Focus)

TapMango

Toronto
Remote
CAD 120,000 - 150,000
15 days ago

RQ09508 - Sr. Machine Learning Engineer

Source Code

Toronto
Hybrid
CAD 100,000 - 130,000
15 days ago

Laboratory Assistant Float: Venipuncture & Patient Care

Dynacare

Pickering
On-site
CAD 30,000 - 60,000
15 days ago
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Laboratory Assistant (BCGEU)

LifeLabs Medical Laboratory Services

Victoria
On-site
CAD 30,000 - 60,000
15 days ago

Laboratory Assistant: Phlebotomy & Patient Care (Float)

LifeLabs Medical Laboratory Services

Victoria
On-site
CAD 30,000 - 60,000
15 days ago

Senior Fullstack Engineer - Data Browsing & Dashboards

Sentry

Toronto
Hybrid
CAD 232,000 - 295,000
15 days ago
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Senior Fullstack Engineer, Data Browsing

Sentry

Toronto
Hybrid
CAD 232,000 - 295,000
15 days ago

IT functional analyst

Desjardins

Shawinigan
On-site
CAD 80,000 - 100,000
15 days ago

Data Scientist

BioTalent Canada

Toronto
On-site
CAD 80,000 - 110,000
15 days ago

Clinical Data Analyst - Health Information - Full-Time

Brockville General Hospital

Ottawa
On-site
CAD 70,000 - 90,000
30 days ago

Carbon Emissions & Renewable Energy Data Analyst

Mashreq Bank

Calgary
Hybrid
CAD 70,000 - 90,000
30 days ago

Renewable Energy Data Analyst - Carbon Emissions

Mashreq Bank

Calgary
Hybrid
CAD 70,000 - 90,000
30 days ago

GCP BigQuery Data Analyst for Cloud Analytics

Mashreq Bank

Canada
Hybrid
CAD 80,000 - 100,000
30 days ago

GCP Data Analyst - BigQuery (Canada)

Mashreq Bank

Canada
Hybrid
CAD 80,000 - 100,000
30 days ago

Remote Talent Ops Analyst — Data-Driven Hiring & Equity

Owner

Canada
Remote
CAD 222,000 - 279,000
30 days ago

Remote Big Data Analyst - Hadoop & Spark Infra

Mashreq Bank

Vancouver
Hybrid
CAD 80,000 - 100,000
30 days ago

Big Data Analyst - Hadoop & Spark Infrastructure

Mashreq Bank

Vancouver
Hybrid
CAD 80,000 - 100,000
30 days ago

Remote Fraud Detection & Credit Risk Data Analyst

Mashreq Bank

Toronto
Hybrid
CAD 70,000 - 90,000
30 days ago

Credit Risk Data Analyst - Fraud Detection (Python/R)

Mashreq Bank

Toronto
Hybrid
CAD 70,000 - 90,000
30 days ago

UX-Focused Product Data Analyst | Mixpanel Insights

Mashreq Bank

Vancouver
Hybrid
CAD 80,000 - 100,000
30+ days ago

Product Data Analyst - User Experience (UX) & Mixpanel

Mashreq Bank

Vancouver
Hybrid
CAD 80,000 - 100,000
30+ days ago

Senior Data Analyst – Digital Platforms (French)

Mashreq Bank

Canada
Hybrid
CAD 80,000 - 100,000
30+ days ago

Senior Data Analyst, Digital Platforms (French) - Hybrid

Mashreq Bank

Canada
Hybrid
CAD 80,000 - 100,000
30+ days ago

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Data Scientist (Azure, Python, and SQL)
Source Code
Remote
CAD 80,000 - 120,000
Full time
15 days ago

Job summary

A data technology firm is seeking a Data Scientist (Azure, Python, and SQL) based in Toronto. The candidate will analyze large data sets to enhance product performance, communicate insights effectively to stakeholders, and manage predictive modeling tasks. The role requires over 4 years of relevant experience, as well as proficiency in Azure, Python, and SQL. This is a fully remote position offered on a 1-year contract basis with potential for extension.

Qualifications

  • 4+ years experience as a Data Scientist, Data Engineer, Machine Learning Engineer or a similar position.
  • Extensive experience with Azure.
  • Expert level in Python and SQL querying skills.
  • Experience with training and maintaining ML models.

Responsibilities

  • Use predictive modeling to increase and optimize customer experiences.
  • Work with the Product Manager to prototype new ideas and models.
  • Utilize appropriate cloud resources to automate data science processes.
  • Develop processes to improve data cleanliness and usability.
  • Monitor Machine Learning model performance and accuracy.

Skills

Data analysis
Predictive modeling
Communication
Business results driving
Data science acumen

Education

University degree in a STEM field

Tools

Azure
Python
SQL
Job description
Overview

Data Scientist (Azure, Python, and SQL) - Toronto, ON

The ideal candidate is comfortable analyzing large data sets to find opportunities to improve product performance and increase value to customers. They must be able to communicate well with all levels of the organization, from peer Data Scientists to business stakeholders. They must have a proven ability to drive business results and be comfortable communicating recommendations and findings to a business audience. The right candidate will have a passion for growing their data science acumen. Location: Toronto, ON. Fully remote. 1-year contract (with the possibility of extension).

Responsibilities
  • Use predictive modeling to increase and optimize customer experiences
  • Marketplace focused on ICO domain.
  • Work with the Product Manager to prototype new ideas, models, and ways of leveraging lots of data points to improve business outcomes.
  • Utilize appropriate cloud resources based on project demands and data workloads to automate and productionalize data science processes.
  • Develop enrichment processes and procedures to improve the cleanliness, usability and understanding of data.
  • Proactively monitor existing Machine Learning models, their performance, output, and accuracy.
  • Management of large-scale data processing system for preparing structured and unstructured data for analytic modelling.
  • Work along with Support Teams to troubleshoot and identify customer-reported issues.
Must-Haves
  • 4+ years experience as a Data Scientist, Data Engineer, Machine Learning Engineer or a similar position
  • Extensive experience with Azure
  • Expert level in Python and SQL querying skills
  • Experience with training and maintaining ML models
  • University degree in a STEM field
Nice-To-Haves
  • Experience with pricing estimations and insights
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* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.

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