You are responsible for the newly formed talent analytics group in HR at a major

You are responsible for the newly formed talent analytics group in HR at a major technology firm. The head of HR is concerned that the company will lose critical talent in the upcoming organizational change initiative. She believes that women are underrepresented in marketing, and she is especially concerned that highly educated women will leave, adversely impacting the potential for women in leadership roles.
Please use this data set to answer the following questions. Craft your answers as if you were communicating your insights to the heads of R&D, Sales, Marketing and HR, and make your answers easy to understand for non-technical leaders. Do not include programming code or Excel tables in the word doc.
Do the data support the two assertions of the head of HR as described in the problem statement? Explain why or why not. (20 points)
Describe at least three variables that are common for employees in R&D, marketing and sales who are at a disproportionate risk for leaving based on the data provided. You can use any tool that you wish, or the work can be conducted with pivot tables in Excel. Summarize any themes that you see in these variables so you can communicate your findings to the head of HR. (20 points)
Your boss, the Chief Analytics Officer for the company, wants to demonstrate the value of talent analytics to the executive committee. You do not have resources to support all the divisions. Which division will you support to prove the value that you can generate? Explain the strategic rationale for your choice. (20 points)
Develop three recommendations for the leader of the division that you are supporting to address the attrition risk factors that you identified in question 2. What is the top recommendation that you would make to the head of the division that you chose to support? Explain the rationale for the recommendation that you chose. (20 points)
For one of your recommendations, how would you design a rapid experiment to learn whether your recommendation successfully mitigates attrition? What information beyond employee survey data would you want to track? How would you collect and report the data? (20 points)
Further guidance:
The first question is about interpreting the meaning of “underrepresentation”. I would interpret it literally, i.e. are women statistically underrepresented in the marketing division. As an example. If we looked at a tech company and found that 50% of the workforce is female, but only 20% of the leadership is female, we could conclude that women are underrepresented in leadership roles. In that company, if women started to leave the company, then the potential to have female leaders is reduced.
The second question is about explaining the strategic rationale for your choice of which division you will support to prove the value that your analytic insights can generate.
There are 4 divisions that are named in the assignment: R&D, Sales, Marketing and HR. If you want to prove the value of analytics, you should focus on feasibility of the analysis and visibility/materiality of the insights.
Feasibility would be impacted by the size of the division and the rate of attrition of the division, i.e. it is easier to demonstrate a change (attrition) if the numbers and the change are big.
Visibility and materiality mean that leaders would find your insights interesting and important. Therefore, the importance of the division to the company might be important. For example, if we were evaluating a software company, then the engineers would be central to the company. Another consideration might be related to difficulty in replacing people who leave, e.g. a scarce skill set. A third consideration might be related to alignment of your insights with the goals of the leader(s). Think about visibility and materiality as driving the strategic rationale for your choice.
Questions 2 and 3 in the assignment are related. You identified at least 3 variables that are correlated with attrition in sales, marketing and R&D, i.e. they are common across the three divisions. Question 3 asks you to pick a division to support. You identified variables for sales, marketing and R&D, so your choice of division to support should be one of those three.

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