Data Analytics Report Context:
I am CEO of the company called D&D International. We are developing and distributing new business analytic software to companies and individuals. I currently have 3 locations, Ireland (HQ), France and Australia. The company has been growing since 2017 and we have now a total of 1000 employees worldwide. However I have observed that some employees left the company in 2017 and came back in 2019, I think some of my employees may be dissatisfied by the job. In 2019, I asked my employees to fill out a job satisfaction survey and I would like some insights to understand what is going wrong in my company.
The survey is taken from the Indiana job satisfaction scale and includes the following questions with 5 answer possibilities (Strongly Disagree = 1, Disagree = 2, Neutral = 3, Agree = 4, and Strongly Agree = 5):
General Satisfaction
Q1: I feel good about this job
Q2: This job is worthwhile
Q3: The working conditions are good
Q4: I want to quit this job
Q5: This job is boring
Pay
For your analysis, you will find my employees' details, their salary for 2019, 2018, and 2017 as well as their answers to the survey here attached.
Q6: I am happy with the amount this job pays
Q7: The vacation time and other benefits on this job are okay
Q8: I need more money than this job pays
Q9: This job does not provide the medical coverage I need
Task:
By using all the tools and methods that you have learned about, provide to the CEO a report (max 10 pages) presenting your analysis, results and suggestions to the CEO. Also include a description of your methods to transform, visualise and model the data in order to convincingly communicate your results.
More precisely, your report should include:
- An introduction about Salary and Job Satisfaction issues in companies supported by a short literature review and references,
- A formulation of the hypotheses that you will test and the description of the variables that you will process,
- A method section, where you will describe the technics and tools that you are using,
- A descriptive statistics part including numbers, plots and tables,
- An inferential statistics part describing you results, with numbers, plots
and tables,
- A discussion part, where you will formulate your insights from the data
and recommendations to the CEO of D&D International to solve his problem.
Remember, each data attributed to students are unique and will prevent copy- paste of results from another dataset attributed to another student.
Try to produce the best looking figures and to communicate statistical results using a conventional formulation.
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