Spartan Poker Live Ops Analyst Interview: Rounds, Questions and Preparation

What the job involves

A Live Ops Analyst monitors real-time performance of a gaming or creator platform, tracking metrics like active users, game rounds, deposits, withdrawals, and creator earnings. They quickly identify anomalies, coordinate with tech and support teams, and run promotions or events to keep engagement and revenue healthy. The role is shift-based and requires comfort with dashboards, SQL, and fast decision-making under pressure.

Role and Technical Knowledge

1. 1

   What are the key metrics you would monitor on a live poker or gaming platform?

   Mention DAU, concurrent users, rake or GGR, deposit success rate, withdrawal TAT, and table fill rate. Explain why each matters for revenue and user experience.

2. 2

   How would you use SQL to find the number of active tables in the last hour?

   Show a simple query filtering by timestamp and status. Mention grouping by table ID and counting distinct users. Keep it readable and explain your logic.

3. 3

   What is the difference between a lag, a crash, and a payout delay in live ops?

   Define each briefly. Lag is slow response, crash is service failure, payout delay is payment processing issue. Explain different escalation paths for each.

4. 4

   How would you track a creator's earnings on a platform that pays per view or per subscription?

   Describe a dashboard with views, watch time, subscriptions, and payout status. Mention daily reconciliation and flagging anomalies like sudden drops.

Practical Scenarios

1. 5

   You see a sudden 30 percent drop in active users on a poker table during peak hours. What do you do first?

   Check if it is a real drop or a data glitch. Look at server status, recent deploys, and payment gateway alerts. Escalate to tech if confirmed, and notify community managers.

2. 6

   A top creator on your platform reports that their earnings are not updating. How do you handle it?

   Acknowledge quickly, check the earnings pipeline for delays, and give a realistic timeline. Escalate to engineering if needed and follow up with the creator.

3. 7

   You notice a pattern of users creating multiple accounts to claim a welcome bonus. What steps do you take?

   Flag the accounts, check device IDs and IP patterns, and pause the bonus for suspicious users. Suggest a rule to prevent future abuse without blocking genuine users.

4. 8

   A live tournament is about to start and registration numbers are lower than expected. What can you do in the next 30 minutes?

   Push a notification or in-app banner, ask community managers to post, and consider a small last-minute incentive. Track sign-ups in real time and report back.

Behavioural and Teamwork

1. 9

   Tell me about a time you had to make a quick decision with incomplete information.

   Use a college project, internship, or event organisation example. Focus on how you assessed risk, acted, and learned from the outcome.

2. 10

   How do you handle a situation where a developer says your reported issue is not a bug?

   Show that you stay calm, provide clear evidence like screenshots or logs, and ask for a joint review. Emphasise resolving the user impact over being right.

3. 11

   Describe a time you worked in a team under a tight deadline.

   Pick a real example from college or an internship. Highlight your specific role, how you communicated, and what the team achieved.

HR and Culture Fit

1. 12

   This role often requires night shifts and weekend work. How do you feel about that?

   Be honest and positive. Mention any past experience with odd hours and how you manage sleep, health, and focus. Show you understand live ops never sleeps.

2. 13

   Why do you want to work in gaming or the creator economy?

   Connect a personal interest in games or creators to the role. Mention that you enjoy fast-paced environments and want to learn how platforms grow.

3. 14

   Where do you see yourself in two years in a live ops career?

   Show ambition to grow into senior live ops, strategy, or product analytics. Emphasise learning SQL, automation, and deeper user behaviour analysis.

4. 15

   What would you do if you disagreed with a decision made by your manager during a live event?

   Say you would share your concern privately and quickly, with data if possible. If overruled, you would execute the decision fully and review later.