Semios

Data Analyst – Co-op

Semios

internship

Posted on:

Location Type: Hybrid

Location: Vancouver • 🇨🇦 Canada

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Salary

💰 CA$20 - CA$23 per hour

Job Level

Entry Level

Tech Stack

BigQueryCloudIoTPythonSQLTableau

About the role

  • Assist in data collection, cleansing, exploration, and building impactful insights to optimize the many grower operations and processes.
  • Build out ad hoc reporting tools for internal business users.
  • Review and optimize existing machine learning models.
  • Connect and correlate information from different data sources which have their own delivery mechanism: databases, spreadsheets, documents, naming conventions, schemas, and reference points.
  • Design and implement the optimal schemas for delivering insight in a timely, accurate, cost-effective and useful manner.
  • Deliver insight to internal customers as neededImplement business logic within a BI data warehouse, associated with operating a large scale IoT network.

Requirements

  • To be currently enrolled and working towards a post secondary degree that focuses on data analytics, data science, computer science, agriculture, or a related field, and registered in a recognized cooperative education program at a post secondary institution.
  • Strong attention to detail and organizational skills.
  • Strong analytical skills.
  • Course work or experience programming with SQL
  • Exposure to R or Python
  • Basic understanding of the evolving AI ecosystem
  • Course work or experience with BI visualization tools like Tableau or Power BI
  • Passion for learning new technologies.
  • A positive attitude and interest in learning about Agriculture and IoT networks.
  • Experience working with big data and big data infrastructures. (Nice to have)
  • Experience working in a cloud environment. (Nice to have)
  • Experience working with data analytics products such as BigQuery (Nice to have)
Benefits
  • Sleep better, knowing you're making the world a better place through more sustainable food production.
  • Collaborative and casual work environment.
  • Opportunity to learn and make an impact by working on meaningful projects.
  • Tech-focused office location, convenient to transit and bike paths.
  • You enjoy the hybrid working environment - the flexibility of working from home some days and the personal connections built from working in the office.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
data collectiondata cleansingdata explorationmachine learningSQLRPythonBI visualizationbig datadata analytics
Soft skills
attention to detailorganizational skillsanalytical skillspassion for learningpositive attitude
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