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Intermediate Analytics Administrator to manage and maintain analytics environments developed in Python and R

Job in Victoria, British Columbia, Canada
Listing for: S.i. Systems
Contract position
Listed on 2026-06-20
Job specializations:
  • IT/Tech
    Data Analyst, Data Engineering, Cloud Computing: Infrastructure & Operations, Data Scientist
Job Description & How to Apply Below
Position: Intermediate Analytics Administrator to manage and maintain analytics environments developed in Python and R for a
Location: Victoria

Our valued healthcare client requires the services of an Intermediate Analytics Administrator to manage and maintain analytics environments developed in Python and R!

Initial 1 year contract with strong possibility of extension.% Remote in EST timezone. 7.25 hours per day, Monday to Friday.

Responsibilities:

  • Provide on-going support to internal Analytical users.
  • Work with other Analytical Administrators to resolve any issue on the analytical environment.
  • Troubleshoot and resolve issues across analytics and data processing environments (Python, R, Spark, Stata, SPSS)
  • Manage permissions on the different analytical environments (Windows, Linux).
  • Monitor logs, create R and Python programs and scripts for automation.
  • Participate in the implementations of different technologies to support Analytical Environment
  • Collaborate with operational and infrastructure teams to support platform reliability and deployments
  • Contribute to the implementation and improvement of analytics and data platform technologies
  • Support containerized and distributed data workloads (e.g., Spark jobs, container-based environments)
  • Must have skills:

  • 5+ years experience programming using Python and R
  • Demonstrated experience working with AWS cloud services (e.g. EC2, S3; EMR is a strong asset)
  • Demonstrated experience working with relevant Python libraries like Pandas &
    Num Py
    , and Jupyter Notebooks
  • Demonstrated experience working with Py Spark /
    Spark
    -based data processing environments
  • Demonstrated experience working with Docker /
    Docker Swarm
  • 5+ years experience working with data manipulation, statistical analysis, and machine learning
  • Nice to Have

    Skills:

  • Demonstrated experience working with commercially available LLM's like Llama, ChatGPT, Claude, Gemini, etc.
  • Demonstrated experience working with Amazon EMR
  • Demonstrated experience coaching/mentoring technical teams
  • Position Requirements
    5+ Years work experience
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