Job and Volunteering Postings

Job Posting: Big Data Research Assistant Positions

February 26, 2019
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SFU’s Big Data Initiative empowers people to unlock data for research, education and community impact. They are looking to hire Research Assistants for Summer 2019 (or sooner) who are passionate about helping people explore their data. 

Junior Big Data Analyst

  • Start Date:  April 29, 2019 or sooner (Flexible start date)
  • Work Hours/Week: Varies. Up to 210 hours of work over the course of the semester.
  • Location: Burnaby
  • Career Level: Research Assistantship
  • Deadline: March 4, 2019, 4PM

Are you interested in using “big data” tools and techniques to solve real world problems? Are you passionate about helping people explore their data to get the best insights possible? Do you want to work with a collaborative team in an innovative environment? Then join us at Simon Fraser University’s Big Data Hub as a part-time research assistant starting today.

Responsibilities

  • Support other consultants with client projects. Assist clients with data collection, design of studies, data clean up, analyses, reporting, reviewing results, among other related duties.
  • Meet with clients both alone and under supervision on a regular basis to understand their needs; provide data cleaning, analysis, and reporting work; and provide status updates to the client for larger projects.
  • Respond to client emails, requests and questions. Log updates, issues, and tasks in the project management system.
  • Collaborate with other consultants to share your expertise to further client service in SFU’s Big Data Hub.
  • Be an ambassador for SFU’s Big Data Initiative by sharing your expertise with the team and peers.

Skills and Experience

  • Ability to write readable code and utilize Open Source libraries in the Python or R ecosystems
  • Extensive experience with machine learning and data management tools, e.g. Apache Spark, SQL
  • Experience with modern version control software
  • Experience extracting and cleaning data from different sources for use by various systems
  • Familiarity creating user interaction in browser based visualization systems, such as R/Shiny or plotly/Dash would be an asset
  • Strong analysis and problem-solving skills
  • Excellent communication (written and verbal) skills, including presentation skills
  • Excellent customer service skills
  • Ability to communicate technical concepts to non-technical users
  • Qualitative and/or quantitative research experience would be an asset

Apply Now

We have several positions available. If you are interested, please send an email to sfu_bigdata@sfu.ca with the subject line “Junior Big Data Analyst Summer 2019: [Your Name]” by 4pm on March 4, 2019, attaching a copy of: 

  1. Your resume or CV, and
  2. Your unofficial SFU transcript

For more information, see the job posting here.

 

Junior Big Data Consultant

  • Start Date:  April 29, 2019 or sooner (Flexible start date)
  • Work Hours/Week: Usually between 8-20 hours/week on average. Up to 210 hours of work over the course of four months. 
  • Location: Burnaby
  • Deadline: March 1, 2019, 4PM

Are you interested in empowering people to use big data approaches to solve real world problems? Are you interested in building your programming and analytic skills to deliver creative solutions? Are you passionate about helping people? Then join us at Simon Fraser University’s Big Data Hub starting today.

Responsibilities

  • Deliver excellent customer service by responding to client emails, requests, and questions. Regularly meet with clients to understand their needs both alone and with a lead consultant. Provide regular updates to clients (in-person, email, phone) and log information and tasks in the project management system.
  • Assist other consultants with client projects. You’ll work directly with clients to help them with project design, data collection and cleaning, analysis, reporting, and reviewing results, and more.
  • Synthesize and analyze information from various data sources (e.g. datasets, research literature, websites, policy briefs etc.).
  • Assist in creating training materials for delivering workshops to internal and external clients.
  • Collaborate with other consultants on client projects to deliver innovative solutions.
  • Be an ambassador for SFU’s Big Data Initiative by sharing your expertise with the team and peers. 

Skills and Experience

  • Excellent customer service skills. Ability to establish and maintain positive working relationships.
  • Excellent organization, problem-solving and analytical skills, with a high attention to detail.
  • Excellent communication (written and verbal) skills, including presentation skills.
  • Excellent collaboration skills who enjoys working on teams and sharing your expertise.
  • Ability to multi-task and meet deadlines.
  • Basic to intermediate knowledge of programming languages (e.g. Python, R, etc.), data management tools (e.g. Apache Spark, SQL etc.), and/or visualization tools (e.g. Tableau).
  • Willingness and enthusiasm to learn data analytic skills (e.g. programming languages, data management tools, modern version control, visualization etc.).
  • Experience extracting and cleaning data from different sources and preparing it for use.
  • Ability to communicate technical concepts to non-technical users
  • Qualitative and/or quantitative research experience is an asset
  • Knowledge of statistical approaches is an asset.

Apply Now

We have several positions available. If you are interested, please send an email to sfu_bigdata@sfu.ca with the subject line “Junior Big Data Consultant Summer 2019: [Your Name]” by 4pm on March 1, 2019, attaching a copy of:

  1. Your cover letter
  2. Your resume or CV, and
  3. Your unofficial SFU transcript

For more information, see the job posting here.

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