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Python Data Analysis Jobs in Ontario (NOW HIRING)

Data Analyst

Kanata, ON ยท On-site

Familiarity with Python (data analysis, Pandas, scikit-learn, JSON) is an asset. Qualifications * Bachelors degree in a related field is preferable, but relevant experience in lieu will be considered.

Data Analyst

Kanata, ON

CA$60K - CA$70K/yr

Familiarity with Python (data analysis, Pandas, scikit-learn, JSON) is an asset. Qualifications * Bachelor's degree in a related field is preferable, but relevant experience in lieu will be ...

PHP, Javascript, Python, MySQL, VueJS, ElectronJS, Selenium, VMware, AWS. * Creative and motivated ... Data science training or experience with big data analysis and visualization. * Interest and ...

Write and optimize SQL queries for data analysis and validation * Develop DDL scripts and assist in deploying data models across environments * Perform data wrangling and transformation using Python ...

New

Write and optimize SQL queries for data analysis and validation * Develop DDL scripts and assist in deploying data models across environments * Perform data wrangling and transformation using Python ...

New

... analysis, then rapidly transition into building and maintaining the predictive models that drive ... SQL (Expert), Python * Data Warehouse: Google BigQuery * Cloud Infrastructure: Google Cloud ...

Proficiency in Python for data analysis, scripting, and automation. * Strong analytical thinking and problem-solving abilities with experience handling ambiguous business problems independently.

Data Analyst

Barrie, ON ยท On-site

CA$45K/yr

Data analysis, SQL, Python, Excel, data visualization, Power BI or Tableau, credit risk analysis, portfolio performance analysis, delinquency and charge-off analysis, loan data, forecasting, data ...

Proficiency in Python for data analysis, automation, and integration tasks. * Experience with data visualization tools (e.g. Tableau, Metabase, Looker). * Understanding of Airflow , DAG orchestration ...

We are country's premium data science team featured widely in press and news. \n Responsibility \n ... Sound knowledge of tools (specifically R\/Python) used in statistical analysis \n * Good ...

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Python Data Analysis information

What is a Python Data Analysis job?

A Python Data Analysis job involves using Python programming to collect, clean, analyze, and visualize data for insights and decision-making. Professionals in this role use libraries like Pandas, NumPy, and Matplotlib to manipulate datasets and perform statistical analysis. They may work in various industries, solving business problems, identifying trends, and supporting data-driven strategies. Strong programming skills, data wrangling expertise, and knowledge of analytical techniques are essential for success in this field.

What are the key skills and qualifications needed to thrive in the Python Data Analysis position, and why are they important?

To thrive in a Python Data Analysis role, you need strong proficiency in Python programming, statistical analysis, and data wrangling, often backed by a degree in computer science, mathematics, or a related field. Familiarity with tools such as Pandas, NumPy, Jupyter Notebook, and visualization libraries like Matplotlib or Seaborn, along with potential certifications in data analysis or Python, is highly valuable. Analytical thinking, attention to detail, and effective communication help translate complex data findings into actionable insights for stakeholders. These capabilities are crucial for transforming raw data into meaningful information that supports business decision-making.

What are the typical responsibilities of someone working in Python Data Analysis?

Professionals in Python Data Analysis are usually responsible for collecting, cleaning, and analyzing datasets to uncover trends and inform business strategies. Their daily tasks often include writing Python scripts, visualizing data, conducting statistical analyses, and preparing reports that summarize their findings for both technical and non-technical audiences. Collaboration with data engineers, business analysts, and project managers is common, ensuring that data solutions align with organizational goals. This role offers opportunities to build expertise in specialized areas, such as machine learning or business intelligence, and can lead to career advancement in data science or analytics leadership positions.

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

Data Analyst

Intouch Insight

Kanata, ON โ€ข On-site

Full-time

Posted 5 days ago


Job description

Salary: $60,000 - $70,000

The Opportunity

Intouch Insight provides some of North Americas top brands with actionable insights into their customers experiences and helps them achieve operational excellence while earning customer loyalty and improving business outcomes.

Ideally, you have already gained some practical experience as a Data Analyst in a corporate environment and are now keen to develop your skills further within a growing business that supports your passion for finding meaning within data and is committed to providing advanced analytics and useful insights to its customers.


Your responsibilities

As a Data Analyst at Intouch Insight, youll use your skill and experience to identify, analyze and interpret results and trends to provide insights for our clients. You will plan and create reports/presentations and work with our Customer Success and Sales team to communicate findings to our clients and prospects. You will also be invited to review clients customer experience objectives and work with our internal teams to determine the best way to deliver high quality data (strategy, processes, tools) that meet our clients expectations. Finally, our internal teams including Marketing and Product will be looking for your support on various research projects.


Required Skills and Experience

  • 2 years of relevant experience in a data analysis role, with proven analytical and research skills.
  • Proven history of strict attention to quality and detail.
  • Ability to write, explain and present analysis clearly and concisely to internal and external stakeholders.
  • Ability to generate business-relevant insights from raw data, with or without the usage of AI.
  • Strong skills in Excel and PowerPoint.
  • Knowledge of statistical principles (ex. correlation, regression, statistical significance, etc.) and experience using BI Tools (especially Tableau) to analyze datasets.
  • Strong verbal and written communication skills in English. French skills are an asset.
  • Ability to perform data cleansing, wrangling and validation.
  • Foundational skills with AI on generation of insights, presentations and charts.
  • Familiarity with Python (data analysis, Pandas, scikit-learn, JSON) is an asset.

Qualifications

  • Bachelors degree in a related field is preferable, but relevant experience in lieu will be considered.
  • Experience in the CX industry and/or Marketing Studies is an asset.
  • Data analysis/science-related certifications are an asset.

Pay range - $60,000-$70,000 per year

About our Team

At Intouch Insight, you will be joining a team that is passionate about working with customers and experienced in the implementation of customer experience management (CX) programs to help our customers create positive user experiences. Our unique approach to CX management incorporates multiple data sources, including surveys, checklists, mystery shopping and operational audits data, all under a common reporting platform. We enjoy building and sustaining long-term relationships with our impressive client base while helping them grow their brands and delight their customers to achieve CX excellence. We use traditional methods as well as the latest technology to stay connected and collaborate effectively.


Intouch Insight provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.


This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.