Data Analyst

Website Save-On-Foods

Job Description:

As a Data Analyst, you will use all aspects of data & analytics and drive large-scale, continuous experimentation initiatives to guide decision making and deliver high-quality insights. Each day you will face new challenges and learning is a necessary part of the job – where predictive modeling, big data technologies and statistical analysis are part of your daily routine.

Job Responsibilities:

  • Learning cloud-based analytics environments and big data tools to build analytics workflows on terabytes of data.
  • Collaborating with IT and the Data Scientists to identify technical & data requirements to deploy analytic solutions catered to the business.
  • Building dashboards and visualizations to convey insights and deliver reports on KPIs and test results using Power BI.
  • Formulating testable hypotheses that align with business questions and executing statistical experiments in a live environment.
  • Writing SQL scripts to automate data pipelines and workflows.
  • Becoming the resident expert in the relevant datasets within your analytics domain.
  • Building modular data structures and models in collaboration with data engineers to support continuous experimentation.
  • Working closely with stakeholders to understand business questions, processes, and KPIs.
  • Mentor and cross-train data analysts in experimentation best practices and statistical designs.
  • Finding unique and creative insights that identify new opportunities to drive business value.
  • Writing Python scripts in a Jupyter Notebook environment to conduct exploratory data analysis, data wrangling, statistical testing, and predictive modeling.

Job Requirements:

  • Knowledge of experimental design principles such as A/B and multivariate testing, as well as experience working with business stakeholders to formulate testable hypotheses.
  • A working knowledge of cloud environments, such as Azure, GCP or AWS. Experience with cloud environments and big data tools, such as Spark and Data bricks is a plus.
  • A problem solver with strong analytical, and critical thinking skills.
  • Experience with a visualization and reporting tool, such as Power BI and Tableau.
  • Self-motivated with the ability to work independently and collaboratively.
  • An exceptional written and verbal communicator with the ability to communicate a story with data and insights to non-technical stakeholders.
  • An understanding of advanced analytics and data science methods such as anomaly detection, forecasting, as well as supervised and unsupervised learning.
  • Able to multi-task and work in a fast-paced environment.
  • Effective in task management and deliver high quality work.
  • Expertise in SQL.
  • Experience with coding in Python. Experience in other programming languages such as Java, Scala, or JavaScript is a plus.

Job Details:

Company: Save-On-Foods

Job Category: Supermarket

Vacancy Type: Full Time

Job Location: Langley, BC, CA

Application Deadline: N/A

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