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Full Time Python Data Analysis Jobs in Surrey, BC

Pattison Food Group

Decision Science Analyst

Langley, BC · On-site

CA$83K - CA$104K/yr

We have an exciting opportunity for a full-time Decision Science Analyst to join our More Rewards ... Using Python scripts in a Jupyter Notebook environment for exploratory data analysis, data ...

Ubc

Data Scientist

Vancouver, BC · On-site

CA$7K - CA$11K/mo

Performs data extraction and linkage from multiple databases for analysis * Develops statistical approach and implements program code (SAS, Python, R, Matlab, etc.) * Maintains and updates syntax ...

Remitly

Data Scientist II

Burnaby, BC · On-site

CA$128K - CA$144K/yr

... Python or R for exploratory data analysis, statistical analysis, and machine learning * Proficiency creating dashboards and visualizations using tools such as Tableau, Power BI, Mode, or similar ...

Boeing

Data Engineer

Richmond, BC · On-site

Minimum 3-years' experience supporting data science and analytics projects and/or infrastructure. * Must be proficient in Python. * Provide consent to Canadian Government Controlled Goods Program ...

Boeing

Data Engineer

Richmond, BC · On-site

Minimum 3-years' experience supporting data science and analytics projects and/or infrastructure. * Must be proficient in Python. * Provide consent to Canadian Government Controlled Goods Program ...

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All JobsPython Data Analysis JobsFull Time Python Data Analysis JobsFull Time Python Data Analysis Jobs in Surrey, BC

Full Time Python Data Analysis information

What are some common challenges faced by Full Time Python Data Analysts and how can they be addressed?

Full Time Python Data Analysts often encounter challenges such as handling large, messy datasets and ensuring data accuracy. Navigating complex data sources or integrating data from multiple platforms can also be demanding. To address these challenges, analysts typically leverage robust Python libraries like pandas and NumPy for efficient data wrangling, and collaborate closely with data engineering teams to clarify requirements and resolve data discrepancies. Regular code reviews and adopting best practices in data validation help maintain data integrity and streamline analysis workflows.

What are the key skills and qualifications needed to thrive as a Full Time Python Data Analyst, and why are they important?

To thrive as a Full Time Python Data Analyst, you need strong analytical skills, proficiency in Python programming, and a solid understanding of statistics, typically supported by a relevant degree in computer science, mathematics, or a related field. Familiarity with data analysis libraries (such as pandas and NumPy), data visualization tools (like Matplotlib or Seaborn), and experience with SQL databases are commonly required. Attention to detail, problem-solving abilities, and effective communication skills distinguish top performers in this role. These skills and qualities are crucial for extracting actionable insights from data and effectively collaborating with stakeholders to inform business decisions.

What is the difference between Full Time Python Data Analysis vs Data Scientist?

AspectFull Time Python Data AnalysisData Scientist
Required CredentialsBachelor's in Data Analysis, Statistics, or related field; Python skillsBachelor's or higher in Data Science, Computer Science, or related; Python, R, ML certifications
Work EnvironmentCorporate, finance, marketing, or tech companies; data-focused teamsResearch labs, tech firms, finance, or healthcare; data modeling and research
Employer & Industry UsageCommon in industries needing data reporting and insightsUsed for predictive modeling, machine learning, and advanced analytics

Full Time Python Data Analysts focus on interpreting data and generating reports using Python, while Data Scientists develop models and algorithms for predictive analytics. Both roles require Python skills, but Data Scientists typically have more advanced statistical and machine learning expertise. The roles often overlap, but Data Scientists tend to work on more complex modeling tasks, whereas Data Analysts focus on data interpretation and visualization.

What is a Full Time Python Data Analysis job?

A Full Time Python Data Analysis job involves using the Python programming language to collect, clean, analyze, and visualize data in order to help organizations make data-driven decisions. Professionals in this role work with large data sets, utilize libraries like pandas and NumPy, and often create reports or dashboards to communicate their findings. They may collaborate with other teams to identify trends, solve business problems, and provide actionable insights based on the data.
What are the most commonly searched types of Python Data Analysis jobs in Surrey, BC? The most popular types of Python Data Analysis jobs in Surrey, BC are:
What job categories do people searching Full Time Python Data Analysis jobs in Surrey, BC look for? The top searched job categories for Full Time Python Data Analysis jobs in Surrey, BC are:
Full Time Python Data Analysis jobs near you

Decision Science Analyst

Pattison Food Group

Langley, BC • On-site

CA$83K - CA$104K/yr

Full-time

Retirement

Posted 14 days ago

Job description

Come join Pattison Food Group Ltd., aJim Pattisonbusiness, and Canada's largest Western-based provider of food and health products.

Pattison Food Group Ltd. is a certified Great Place to Work and consists of Save-On-Foods and other well-known grocery banners. With nearly 300 retail locations, we proudly employ nearly 30,000 team members.

We have an exciting opportunity for a full-time Decision Science Analyst to join our More Rewards team in Langley, BC.

Reporting to the Senior Manager, Customer Data & Analytics, you will be responsible for leveraging all aspects of data and analytics to support large-scale projects, experimentation, and continuous improvement initiatives that guide decision-making and deliver high-quality insights. In this role, you will support the development and management of customer data and insights to support the More Rewards Loyalty Program, Marketing, Retail Operations and Merchandising.


You will be responsible for:

  • Collaborating with stakeholders to understand business questions, processes and KPIs.
  • Formulating testable hypotheses aligned with business questions and conducting statistical experiments in a live environment.
  • Writing SQL scripts to automate data pipelines and workflows.
  • Using Python scripts in a Jupyter Notebook environment for exploratory data analysis, data wrangling and statistical testing.
  • Developing and maintaining dashboards and visualizations in Power BI to convey insights, report on KPIs and test results.
  • Learning cloud-based analytics environments and big data tools to build analytics workflows on large datasets.
  • Discovering unique and creative insights to identify new opportunities for driving business value.
  • Becoming an expert in the relevant datasets within your analytics domain.
  • Supporting the Data & Analytics team with key projects.

You have:

  • A degree in a STEM discipline with 3+ years of relevant experience in data and analytics.
  • Advanced Python coding skills and understanding of SQL.
  • Experience with additional programming languages is an asset.
  • Experience using experimental design principles such as A/B and multivariate testing and working with business stakeholders to formulate testable hypotheses.
  • An understanding of advanced analytics and data science methods, such as anomaly detection, forecasting, and supervised & unsupervised learning.
  • Working knowledge of cloud environments, such as Azure, GCP or AWS. Experience with big data tools such as Spark and Databricks is an asset.

You are:

  • A confident communicator, both verbally and written, with strong interpersonal skills and the ability to communicate a story with data and insights to non-technical stakeholders.
  • A problem solver with strong analytical and critical thinking skills.
  • Effective in task management and delivering high-quality work.
  • Capable of multitasking and thriving in a fast-paced environment.
  • Self-motivated with the ability to work independently and collaboratively.

What we offer:

In addition to a highly competitive salary, we offer a great range of benefits, a company pension plan, free parking, exclusive team member offers, and opportunities for development and career progression.

If you're looking to join a team that puts people first, you're in the right place. Apply online today!

Compensation Details:

$83,394.00 - $104,243.00

The compensation offered for this position will take into consideration location, education, skills, experience and other factors.

Apply