Assignment 2 – Can Data Literacy Help You Find a Job?

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Assignment 2 – Can Data Literacy Help You Find a Job?
OVERVIEW
This assignment will test your ability to identify the nature and extent of data needed to answer a
managerial problem, as well as your understanding of the ethics and limitations of data. Based on the case
and sources given, answer the question provided following the case study.
DEADLINE & SUBMISSION
Completion: Individual
Due date: November 4
th, 11:55 pm.
Submit: Upload a PDF to Brightspace
DATA AND JOBS
It’s hard to find a great job, and is sometimes even harder to plan a career. In the period spanning 1971 to
2018, unemployment among Canadian youths (aged 15-24) had never been below 10 percent. Part of the
reason for this is the reluctance of businesses to hire inexperienced workers. According to Nathan Janzen
at RBC, part of the solution lies in training younger workers better transfer the skills they built during their
education into the workplace.1
Finding a job is a skill like any other, and is a skill that is increasingly assisted by one’s ability to understand
trends and digital technology. The Government of Canada provides a service called Job Bank which, in
addition to providing a free job board, provides publicly accessible intelligence about the Canadian job
market. Using the Job Bank Trends tool, users can explore descriptive analytics about various professions,
as well as predictions about the future prospects.
2 Alternatively, Job Bank provides an experimental data
visualization tool called CLMI Explore which helps users attain labour market information in a more friendly
manner.3
The Government of Canada tools are not without their limitations. The Government’s labor outlook feature
may be biased by the sources that they use, might not have relevant data for some regions, or might not
1 Janzen, N. (2018). What’s the problem with Canada’s youth labor markets? RBC Economics. Retrieved from:
http://www.rbc.com/economics/economic-reports/pdf/other-reports/Canadianyouthlabour_Jul2018.pdf
2 Government of Canada (n.d.). Explore an occupation. Job Bank. Retrieved from: https://www.jobbank.gc.ca/trendanalysis/search-occupations
3 Government of Canada (n.d.). Visualize labor market information. Job Bank. Retrieved from: https://clmi-exploreicmt.ca/viz?page=home&lang=en
have relevant information for a job seeker’s unique circumstances.
4 Private companies have stepped in to
fill this niche. Glassdoor, for instance, requires its members to complete anonymous surveys about their
salaries and positions. They then provide reports based on the responses.5 LinkedIn similarly provides
salary and employment growth analytics based on their data.
6 7 Other private providers offer similar
intelligence publicly, though often restrict access to the raw data to paying customers.
Regardless of the source, there are plenty of data resources available which could aid students in the
planning and search process. This is not just interesting from a personal perspective; as managers, we
often need to consider the challenges and limitations of human resources and the technologies that are
transforming the industry.
QUESTION
Read the case above and explore the sources provided in the footnotes. Use some or all of these resources
to learn about the current conditions and future prospects of a profession that is interesting to you.
Based on the case, and on what you have learned during MGMT 2605 so far, and the results of your
search, prepare a brief paper that explains your findings. Your paper should also explain potential
limitations of your analysis, identify the sort of data that would have improved your analysis (if you had
access to it) and potential ethical considerations about having unlimited access to human resources data.
Your paper should not exceed 1000 words (excluding references).
PAPER STRUCTURE
Great papers will always have a beginning, a middle and an end. In the case of this a short paper for
MGMT 2605, it makes sense to have three sections: Introduction, Analysis, and Conclusion. Unlike the
previous paper, it makes sense to use subsections in your analysis. We will discuss each section in turn.
The Introduction Section
Like before, your Introduction should be no more than two paragraphs. It should outline what job(s) you
explored and your main finding. The paper should end with a thesis statement (e.g. “In this paper, I will
describe the job prospects of the data scientist profession using the Labor Market Intelligence reports”.
The Analysis Section
This is the meat of your paper. Unlike last time, your analysis section should have three subsections: one
where you explore your findings, one where you describe limitations to your findings, and one where you
describe data that could be used to improve your analysis (with attention to ethical considerations). All new
evidence (i.e. not deduced from logic alone) should be sourced using APA format.
The Conclusion Section
The conclusion will very briefly summarize what was said in the paper. Also consider reflecting on whether
these findings are helpful or insightful to you.
4 Employment and Social Development Canada (18 September 2019). 2018-2020 Occupational Outlook
Methodology. Retrieved from: https://www.jobbank.gc.ca/report_note.do?cid=7267
5 Glassdoor. Retrieved from: https://www.glassdoor.ca/index.htm
6 LinkedIn Salary. Retrieved from: https://www.linkedin.com/salary/.
7 Economic Graph Team (6 September 2019). LinkedIn Workforce Report | United States | September 2019.
Retrieved from: https://economicgraph.linkedin.com/resources/linkedin-workforce-report-september-2019
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