Cointab Software Private Limited
Data Analyst - Assignment
Overview
Please understand the below mentioned real-life scenario and try to solve the assignment.
The sample data is attached in the link provided below for your reference.
Business Scenario
You are a data analyst and your client has a large ecommerce company in India (let’s call it X).
X gets a thousand orders via their website on a daily basis and they have to deliver them as fast
as they can. For delivering the goods ordered by the customers, X has tied up with multiple
courier companies in India as delivery partners who charge them some amount per delivery.
The charges are dependent upon two factors:
● Weight of the product
● Distance between the warehouse (pickup location) and customer’s delivery address
(destination location)
On an average, the delivery charges are Rs. 100 per shipment. So if X ships 1,00,000 orders
per month, they have to pay approximately Rs. 1 crore to the courier companies on a monthly
basis as charges.
As the amount that X has to pay to the courier companies is very high, they want to verify if the
charges levied by their Delivery partners per Order are correct.
Input Data
Left Hand Side (LHS) Data (X’s internal data spread across three reports)
● Website order report- which will list Order IDs and various products (SKUs) part of each
order. Order ID is common identifier between X’s order report and courier company
invoice
● SKU master with gross weight of each product-This should be used to calculate total
weight of each order and during analysis compare against one reported by courier
company in their CSV invoice per Order ID. The courier company calculates weight in
slabs of 0.5 KG multiples, so first you have to figure out the total weight of the shipment
and then figure out applicable weight slabs.
For example:
-
-
-
If the total weight is 400 gram then weight slab should be 0.5
If the total weight is 950 gram then weight slab should be 1
If the total weight is 1 KG then weight slab should be 1
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-
If the total weight is 2.2 KG then weight slab should be 2.5
● Warehouse pincode to All India pincode mapping -(this should be used to figure out
delivery zone (a/b/c/d/e) and during analysis compare against one reported by courier
company in their CSV invoice per Order ID
RHS Data (courier company invoice in CSV file)
● Invoice in CSV file mentioning AWB Number (courier company’s own internal ID), Order
ID (company X’s order ID), weight of shipment, warehouse pickup pincode, customer
delivery pincode, zone of delivery, charges per shipment, type of shipment
● Courier charges rate card at weight slab and pincode level. If the invoice mentions
“Forward charges” then only forward charges (“fwd”) should be applicable as per zone
and fixed & additional weights based on weight slabs. If the invoice mentions “Forward
and rto charges” then forward charges (“fwd”) and RTO charges (“rto”) should be
applicable as per zone and fixed & additional weights based on weight slabs.
● For the first 0.5 KG, “fixed” rate as per the slab is applicable. For each additional 0.5 KG,
“additional” weight in the same proportion is applicable. Total charges will be “fixed” +
“total additional” if any
Output Data 1
Create a resultant CSV/Excel file with the following columns:
● Order ID
● AWB Number
● Total weight as per X (KG)
● Weight slab as per X (KG)
● Total weight as per Courier Company (KG)
● Weight slab charged by Courier Company (KG)
● Delivery Zone as per X
● Delivery Zone charged by Courier Company
● Expected Charge as per X (Rs.)
● Charges Billed by Courier Company (Rs.)
● Difference Between Expected Charges and Billed Charges (Rs.)
Output Data 2
Create a summary table
Count
Amount (Rs.)
Total orders where X has been correctly charged
<total invoice
amount>
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Email: work@cointab.in
Cointab Software Private Limited
Total Orders where X has been overcharged
<total
overcharging
amount>
Total Orders where X has been undercharged
<total
undercharging
amount>
Assignment Data Download
Please download the assignment data from the following link:
https://drive.google.com/file/d/1NjYY0t8ed4fcLEvgQl9DIqFluUkVL3GF/view
Submission
Please submit the result in an Excel with two workbooks (summary table in one and order level
calculation in another) and your code in any programming language such as Python, R, Java,
JavaScript, etc.
Please zip the files and share it on “work-data-analyst-1@cointab.in”
Website: cointab.in
Email: work@cointab.in