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Python Analytics Jobs in Ontario (NOW HIRING)

Accenture

AI Architect, Manager

Toronto, ON · Remote

Python (Analytics/Software Engineering) * LLM solution architecture & solution development (Generative AI / Azure OpenAI) * Time-Series Analytics (Analytics) * Real-time or near real-time streaming ...

Mastech Digital

Sr DBT Analytics Engineer

Toronto, ON · Remote

Strong Python programming skills. Deep understanding of dimensional modeling (star schemas, one big ... Experience with Git and CI/CD for analytics code. Strong business acumen and ability to translate ...

Maarut

CA$1 - CA$11/hr

Experience with Python, R, mongo, Hadoop or SQL SPSS, Stata, SAS, R, or similar statistical package ... Driving best practices in analytics and data usage * Contributing to team capability development ...

BITS Recruiting

Analytics Analyst

Toronto, ON

CA$79.04/hr

Hands-on experience with analytics and data tools such as Python, SQL, Databricks, and related technologies * Strong experience with Power BI and SQL-based reporting solutions * Experience working ...

Faire

Senior Platform Analytics Engineer

Kitchener, ON · On-site

CA$160K - CA$220K/yr

Strong SQL and Python skills and demonstrated competencies in designing well-architected data ... Analytics engineering experience with a focus on data modeling, large-scale data processing, and ...

Releady

Senior Backend Engineer (SQL/Python)

Toronto, ON · On-site +1

CA$135/hr

The ideal candidate has hands-on experience with FastAPI (or similar Python frameworks), strong SQL proficiency, and experience working with analytics, reporting, or data-heavy applications in ...

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Python Analytics information

What are the key skills and qualifications needed to thrive as a Python Analytics professional, and why are they important?

To thrive as a Python Analytics professional, you need a strong background in statistics, data analysis, and proficiency in Python programming, often supported by a degree in computer science, mathematics, or a related field. Familiarity with data analytics libraries (such as pandas, NumPy, and scikit-learn), data visualization tools, and experience with databases are typically required. Strong problem-solving, communication, and critical thinking skills help in interpreting data and conveying insights to stakeholders. These abilities are crucial for turning complex data into actionable business decisions and driving organizational success.

What are some typical challenges faced by professionals in Python Analytics roles, and how can I prepare for them?

Professionals in Python Analytics roles often encounter challenges such as handling large and complex datasets, ensuring data quality, and communicating insights effectively to non-technical stakeholders. To prepare, it's beneficial to strengthen your skills in data cleaning, visualization libraries (like Matplotlib or Seaborn), and learn best practices for writing efficient, reproducible code. Collaborating closely with data engineers, business analysts, and decision-makers is also a key part of the job, so developing strong communication and teamwork abilities will help you succeed.

What is a Python Analytics professional?

A Python Analytics professional is someone who uses the Python programming language to collect, process, analyze, and interpret data in order to help organizations make data-driven decisions. They often work with large datasets, perform statistical analyses, create data visualizations, and build predictive models. These professionals may work in industries such as finance, healthcare, marketing, or technology, and typically use libraries like Pandas, NumPy, and Matplotlib. Their work helps businesses gain insights, optimize processes, and solve complex problems through data.

What is the difference between Python Analytics vs Data Analyst?

AspectPython AnalyticsData Analyst
Required SkillsPython programming, data manipulation, statistical analysisExcel, SQL, basic statistics
CertificationsPython certifications, data analysis coursesNone typically required, but certifications like CAP or Microsoft certifications are common
Work EnvironmentData science teams, analytics departments, tech companiesBusiness units, marketing, finance, consulting firms
ToolsPython libraries (Pandas, NumPy, scikit-learn)Excel, SQL, Tableau, Power BI

Python Analytics involves using Python programming to perform advanced data analysis, modeling, and automation, often requiring coding skills. Data Analysts focus on interpreting data using tools like Excel and SQL, providing reports and insights. While both roles analyze data, Python Analytics typically involves more technical and programming expertise, making it suitable for complex data projects and predictive modeling.

What are popular job titles related to Python Analytics jobs in Ontario? For Python Analytics jobs in Ontario, the most frequently searched job titles are:
What job categories do people searching Python Analytics jobs in Ontario look for? The top searched job categories for Python Analytics jobs in Ontario are:
Python Analytics jobs near you

Data Analytics Solutions Specialist

Bayshore HealthCare

Mississauga, ON

Other

Posted 19 days ago

Job description

JOB SUMMARY
We are seeking a detail-oriented and technically strong data professional to design, build, and support modern analytics and reporting solutions. This role works across SQL Server, Python, Power BI, Azure Data Factory, and Microsoft Fabric to transform raw data into clear, reliable, and actionable insights for the business. The ideal candidate combines strong technical execution with the ability to partner closely with business stakeholders, ensuring data is accurate, automated, well-documented, and easy to understand.
DUTIES AND RESPONSIBILITIES
Develop, maintain, and optimize data solutions using SQL Server, Azure Data Factory, and Microsoft Fabric to support enterprise analytics and reporting needs 
Design and manage end-to-end data pipelines, from data ingestion through transformation and consumption 
Build and maintain analytical and semantic data models that support scalable reporting and self-service analytics 
Create and manage Power BI datasets, reports, and dashboards, applying best practices in modeling, DAX, and visualization 
Ensure optimal performance across data models, queries, and refresh processes 
Use Python to automate data workflows, handle files, and perform data transformation and validation tasks 
Implement and manage data security and access controls, including Power BI Row-Level Security (RLS) 
Partner with business stakeholders to translate reporting and analytics requirements into scalable, maintainable solutions 
Proactively identify, troubleshoot, and resolve data quality, pipeline, and reporting issues 
Produce and maintain clear documentation for data models, business logic, validation rules, and operational processes

QUALIFICATIONS
Degree in Information Technology, Computer Science, Data, or a related field 
Relevant hands-on experience delivering data, reporting, or analytics solutions
Strong proficiency in SQL Server for querying, analysis, and supporting reporting solutions 
Hands-on experience with Power BI, including data modeling, DAX, report development, refresh processes, and security fundamentals 
Ability to write Python scripts for automation, data transformation, and operational support 
Proficiency using PySpark within Spark environments (e.g., Fabric notebooks) to develop, optimize, and operationalize scalable ETL/ELT transformations for medallion-style pipelines.
Experience working with Microsoft Fabric for data integration, modeling, and reporting 
Solid understanding of basic programming concepts and how they support data analysis and automation 
Strong attention to detail, with a focus on data accuracy, consistency, and reliability 
Ability to clearly explain technical concepts and results to non-technical audiences

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