2

Remote Data Analyst Python Jobs in Toronto, ON (NOW HIRING)

... remote) Job Overview As a Senior Data Developer, you will be responsible for building and ... Python, PySpark, SparkSOL and SQL Experience with Azure Data Factory, ADLS, Synapse Analytics and ...

This is a remote role overseeing a team of 2 and reporting to the Sr. Director of Data Engineering ... Advanced fluency in SQL and Python, with the ability to dive deeply into a modern tech stack as a ...

Murex S4C Consultant

Toronto, ON ยท On-site +1

CA$80K - CA$120K/yr

Use SQL to support reporting, troubleshooting, data analysis, trade feed monitoring, and ... Develop automation solutions using Shell scripting, Python, or other applicable technologies.

Murex S4C Consultant

Toronto, ON ยท On-site +1

CA$80K - CA$120K/yr

Use SQL to support reporting, troubleshooting, data analysis, trade feed monitoring, and ... Develop automation solutions using Shell scripting, Python, or other applicable technologies.

Fully Remote (Canada, EST time zone) Compensation: Salary + Bonus + Health Benefits About Veem Veem ... Shape the future of B2B payments -- Data Engineer, BI & Reporting (Analytics Engineer / BI Engineer ...

... Pickering (100% Remote) Job Overview JOB FUNCTION As a Senior Data Developer, you will be ... Support Business Intelligence Analysts in modelling data for visualization and reporting, using ...

Data Science Expert - AI Evaluation

Toronto, ON ยท Remote

CA$120 - CA$170/hr

Remote Role Responsibilities * Design precise, task-specific grading criteria for real-world data ... Deep fluency in experiment design and A/B testing, metric definition, SQL/Python analysis, and ...

New

Traditional analytical techniques built on historical data were not built for this. Epistemix was ... Proficiency in Python and associated data science technologies * Experience with data visualization ...

Developer, AI Transformation Team

Toronto, ON ยท On-site +1

CA$135K - CA$155K/yr

Who We Are Escalent is an award-winning data analytics and advisory firm that helps clients ... The ideal candidate will have a strong background in Python development, experience integrating AI ...

Tiger Analytics is a fast-growing advanced analytics consulting firm. Our consultants bring deep ... Advanced SQL, Python and PySpark skills tailored for distributed processing on AWS. Benefits ...

Tiger Analytics is a fast-growing advanced analytics consulting firm. Our consultants bring deep ... Tune complex SQL queries and Python-based processing jobs to handle petabyte-scale environments ...

Showing results 21-40

Remote Data Analyst Python information

How do remote data analyst python roles typically coordinate with other team members, given the virtual work environment?

Remote Data Analyst Python roles usually involve frequent collaboration with cross-functional teams such as product managers, data engineers, and business analysts through virtual platforms. Communication is commonly facilitated via video meetings, chat tools, and shared project management software to ensure alignment on data requirements and project goals. While working remotely requires strong self-motivation, most organizations support analysts with regular check-ins and clear documentation practices. This collaborative structure helps maintain productivity and ensures that data insights are effectively integrated into decision-making processes.

What is a remote data analyst python?

A Remote Data Analyst Python is a data professional who works primarily from a remote location, using Python programming to collect, analyze, and interpret data. Their responsibilities include cleaning and processing data, creating data visualizations, and building models to support business decisions. They often collaborate with teams virtually and use Python libraries such as pandas, NumPy, and matplotlib to handle complex data tasks. This role is ideal for those who have strong analytical skills, proficiency in Python, and the ability to work independently in a remote environment.

What are the key skills and qualifications needed to thrive as a remote data analyst python?

To thrive as a Remote Data Analyst (Python), you need strong analytical skills, proficiency in Python programming, a solid grasp of statistics, and typically a degree in a quantitative field. Expertise with data analysis libraries (such as pandas and numpy), familiarity with data visualization tools (like matplotlib or Tableau), and experience with SQL databases are highly valued. Excellent problem-solving, communication skills, and self-motivation are crucial for collaborating remotely and delivering actionable insights. These skills enable you to efficiently interpret complex data, work independently, and provide valuable business recommendations from a remote setting.

What is the difference between Remote Data Analyst Python vs Remote Data Analyst R?

AspectRemote Data Analyst PythonRemote Data Analyst R
Required SkillsPython, SQL, data visualization, statistical analysisR, SQL, data visualization, statistical analysis
Work EnvironmentRemote, tech companies, finance, healthcareRemote, research institutions, analytics firms
CertificationsData analysis, Python programming certificationsData analysis, R programming certifications
Common UsageData cleaning, automation, machine learningStatistical modeling, data visualization, reporting

Both roles involve data analysis in remote settings, with Python-focused roles emphasizing automation and machine learning, while R roles focus more on statistical modeling and visualization. The choice depends on the specific tools and tasks preferred by the employer or industry.

What job categories do people searching Remote Data Analyst Python jobs in Toronto, ON look for? The top searched job categories for Remote Data Analyst Python jobs in Toronto, ON are:
Infographic showing various Remote Data Analyst Python job openings in Toronto, ON as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Data Engineer - Snowflake

Tiger Analytics Inc.

Toronto, ON โ€ข Remote

Full-time

Re-posted 10 hours ago


Job description

Tiger Analytics is a fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for several Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best analytics global consulting team in the world.

The Data Engineer will be responsible for architecting, designing, and implementing advanced analytics capabilities. The right candidate will have broad skills in database design, be comfortable dealing with large and complex data sets, have experience building self-service dashboards, be comfortable using visualization tools, and be able to apply your skills to generate insights that help solve business challenges. We are looking for someone who can bring their vision to the table and implement positive change in taking the company's data analytics to the next level.

Requirements

  • 12+ years of overall industry experience specifically in data engineering with a heavy focus on the AWS Cloud stack and AI.
  • 8+ years of experience building and deploying large-scale data processing pipelines in a production environment.
  • Advanced proficiency in Python, SQL, and PySpark.
  • Creating and optimizing complex data processing and data transformation pipelines using python
  • Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases
  • Deep experience with Snowflake/Databricks on AWS, dbt, and distributed computing frameworks like Apache Spark.
  • Understanding of Datawarehouse (DWH) systems, and migration from DWH to data lakes/Snowflake
  • Understanding of ELT and ETL patterns and when to use each. Understanding of data models and transforming data into the models
  • Strong analytic skills related to working with unstructured datasets
  • Build processes supporting data transformation, data structures, metadata, dependency and workload management
  • Experience supporting and working with cross-functional teams in a dynamic environment

Benefits

Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, challenging, and entrepreneurial environment, with a high degree of individual responsibility.

Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.