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Thank you for your interest in joining the Stio finance team. Below is a list of questions to assess your excel, data mining, and analytical

Thank you for your interest in joining the Stio finance team. Below is a list of questions to assess your excel, data mining, and analytical skills. This is a challenging assessment that we provide to all employee levels in the department. If some questions are not within your experience or skillset, dont be discouraged, please just document your challenges. Please complete within 72 hours or communicate your expected completion date if there is a conflict.
Please submit your answers in any medium you find best to clearly explain how you achieved your answer (retain formulas, pivot tables, techniques, and or take notes if necessary so your approach can be reviewed in a meeting).
*Feel free to ask for clarification to any questions within the 72-hour window.
Background Info for Sales Data (3) sheet:
The data provided includes line item sales data (not actual data) from January of 2017 and 2018
Fall Season Runs from August February
Spring Season Runs from January August
Existing styles retain the same name every season
Root #s are assigned to styles
SKUs are a combination of root #, season of purchase, color code, and size
SKU Origination season refers to all the SKUs created for that particular season, vs Style origination which is the first season a style was designed/created. So, a style may originate in Fall 2014 but then a new SKU is created for that style each new season it is purchased.
Question / Task 1
1. Tab 1 is a packing slip from our factory, listing out the inventory included in their last shipment to our warehouse. Tab 2 is the receiving report created by our warehouse upon delivery of that factory shipment. Please reconcile the receiving report to the packing slip. Present the reconciliation the best way you see fit and provide a list of discrepancies.
Question / Task 2
2. How many orders (of any type...sales, damages, exchanges, etc) occurred in 2018 vs.2017 within the sales data on tab 3?
Question / Task 3
3. A few transactions on tab 3 have been tagged with the wrong gender in the Gender field. What is the total sales value of the products with the tagging error? (Tab 4 is the master listing of our SKUs)
Question / Task 4
4. Did inline styles new to 2018(Fall 2017 and Spring 2018 styles sold in 2018) drive more revenue per style than new inline styles in 2017(Fall 2016 and Spring 2017 styles sold in 2017). How much more or less $ and %?(Keep in mind that a single style has many SKUs under it to represent individual inventory items based on the style, color, and size)
A. Suggest a strategy that can be taken next year to improve our revenue per style.
Question / Task 5
5. We are attempting to improve efficiency in the line for the following fall season. We would like to identify a list of styles in the Fall 2017 season to potentially drop from the line based on the following criteria. If a Gender Style meets the 3 criteria below we would like to remove the style from the Fall 2018 assortment. Please provide a list of styles meeting the criteria.
A. Less than 30 net units sold (Fall 2017 styles sold in 2018)
B. Lowest net revenue generating styles, defined as styles making up <=30% bottom of revenue (Fall 2017 sold in 2018)
C.<=10% of styles with the highest average discount %
Question / Task 6
6. Mens Hometown Down Hooded Jacket (hint, only look at hooded jackets) and Vest grew YoY for both styles. We invested $15K into the Jacket (not the vest) color design for the Fall 2017 line. The SKU Master on tab 4 includes all the costs to be capitalized as part of inventory. For the questions below we are looking to compare Fall 2016 to Fall 2017 performance.
A. Assuming the change in Vest units sold acted as the control for growth, did we capture a positive ROI on this investment? Explain, including the calculated ROI.
B. Based on actual Hometown Down Hooded Jacket sales growth, what would color investment need to be in order to break even (keeping vest as control growth). Explain.
C. Based on the investment of $15k, what would 2018 Mens Hometown Down Hooded Jacket sales total (in dollars) need to be in order to break even (again assuming the vest is control growth). Explain.
D. Can you explain your thoughts on the color investment decision and potential impact on the business?
Question / Task 7
7. From the Sales Data (3) tab, please create the January 2018 sales report. The report is formatted as two tables. The first table compares total sales by sales channel year over year for the month of January. The second table looks at Januarys average discount percentage by SKU origination season compared to last January (hint in 2018 we would have the Spring 2018 season, while the comparative season in 2017 would be Spring 2017).

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