Manager – Analytics

Job description  

(Please read this entire Job Description carefully and send us the completed assignment described below and your updated profile if you would like to apply for this job.)

Based in: Mumbai

Reporting to: Head of Analytics

Experience Required: Minimum 4 Years of Experience

What would you need to do? (Role and Responsibilities)

  • Drive the “Analytics” function in the Company for products assigned.
  • Create & interpret meaningful insights and suggestions for products based on the data collected & reported.
  • Represent data, reports and insights in a manner that allows Product Managers to understand the performance of their games, with a focus on improving 3 things:  Downloads | Engagement | Monetization
  • Work with game designers and product managers to refine game-play and economy throughout the production cycle
  • Use data to help guide the team on pricing in-game items, balancing and other adjustments to game-play to increase LTV & Retention
  • Be able to make numbers tell stories! Use the power of analysis to make a dramatic shift in the business KPIs via strong recommendations.


Who could you be? Background and Experience:

  • It would be preferable if you have experience, working in an Apps company or a Mobile Games Company, in an Analytics function.
  • Extensive work experience with digital data as an Analyst is preferable.
  • An e-commerce data specialist who understands key metric measurements and how to interpret them.
  • Analytical mindset with good communication and interpersonal capabilities, able to work independently.
  • Must be able to prioritize multiple assignments, with a high degree of accuracy, and function quickly in a fast-paced, deadline-oriented environment

Educational Qualification:

Graduate/Diploma Degree holder in Science/Commerce fields or any other equivalent educational background.

Next Steps:

If this opportunity excites you, please send us answers to the below assignment at along with your updated CV..


Part 1:

Consider the data_table at the below link:

Below is a snippet of the table for your reference:

id country date item_name iap_price
1C91E019A6B349FBA63233528F1F0099 United States 31-10-2018 budget 1.99
BC3BA5F6D7024DF3AF2E253C66DD954A United States 26-12-2018 budget 1.99
A87D86FBF0754DED8A4FF70B6FCCA51F United States 27-12-2018 budget 1.99
2A07E2D8F8F14238BC1934D9900D20C0 United States 21-01-2019 budget 1.99
BB0BE1B3526A459B8C13D1E8B5904042 United States 27-01-2019 budget 1.99
59561537C55743A9BD576DF020C07873 United States 02-02-2019 everything 34.99
73A505AF04694578AF7F6389D100459A United States 06-02-2019 budget 1.99
221AE05FF3CE40E9B8CD6C22F146C8DF United States 07-02-2019 everything 34.99
259C25279045410DB733407852A149FC United States 07-02-2019 budget 1.99

Questions based on the above table: 

What are the SQL queries that you will use to get the below data points?

  1. Total unique users who bought something, how many items did they buy on average and the average price point of each item bought.
  2. Total items sold and the average price point of the items overall.
  3. Top 3 items sold daily and revenue from these Top 3 items daily.
  4. Total revenue made from each item broken down by country and day.

Part 2:

One of the reports we make for our games is a report on the funnel followed to get to a particular screen. Here, we track how the user got to the Store screen :-


Data Category Unique Users % Start Game % Composition of Uniques Total Events
Store Screen 53593 23.23% 86356
Home Screen 30816 13.35% 57.50% 37017
Profile 4015 1.74% 7.49% 4909
Level Select 12483 5.41% 23.29% 15599
in-Game 19104 8.28% 35.65% 24471
End Screen 3718 1.61% 6.94% 4359

Here is the assignment question based on the above table:

  • 53593 unique users go to the Store ScreenThe most popular source is the Home Screen, followed by In-game, Level Select, Profile and finally, the End-screen.
  • We trigger unique events each time a screen is shown (i.e. show_store, show_home, show_profile, show_level_select, show_in_game, show_end_screen).
  • Question: What is the query required to generate this report?  Keep in mind that each event has a time-stamp, and we need to report on the last screen before show_store was triggered. 


Part 3: 

  • Download our Game “Driving Academy Simulator 2019” from the Android StoreiTunes Store
  • Play the games for a few minutes:
  • Go to the CARS Section. You will notice that the “Muscle Cars” category is the default one that you start with.
  • Study the real data of that section as shown in the google sheet (Refer to this Link )
  • Answer the below questions:
  1. If you were mandated to improve the sale of these (Muscle) cars – what would you do? Assume you have the freedom to change car positions, prices etc. If you wanted to run experiments, what would those be, and why?
  2. Download and play our Game “Decisions” from the Android / iTunes store
  3. Play the game for a few minutes.
  4. The stories are presented to users in a universal layout. That means that everyone in the world sees stories in the same way. As an analyst, do you think that makes sense? If not, what do you recommend? How would you like to present the stories? What data would you ask for to make your decision? Do you believe in customization? What could Netflix / Hotstar teach us to present content better from an Analytics point of view?
  5. Download and play our Game “International Fashion Stylist” from the Android / iTunes store
  6. Play the game for a few minutes.
  7. You will notice that some of the clothes are free, some locked. The player gets a few coins when they start and also for playing levels. Do you think we should continue having free clothes or lock them all for coins? If people don’t want to buy coins, should we still allow them to play the game (remember – playing the game generates ads that generate money)

-End of Assignment-

Best of Luck!

Send your updated resume/CV along with the above-mentioned test assignment response to