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Darwinbox Interview Questions

A/B Testing

Algorithms

Analytics

Machine Learning

Probability

Product Metrics

Python

Statistics

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Suppose there exists a new airline named Jetco that flies domestically across North America. Jetco recently had a study commissioned that tested the boarding time of every airline, and it came out that Jetco had the fastest average boarding times of any airline.

What factors could have biased this result, and what would you look into?

What could potentially bias the average boarding time in favor of an airline that only flies domestically?

What could potentially bias the average boarding time in favor of an airline that only flies domestically?

Boarding Times Bias

A new airline came out as the fastest average boarding times compared to other airlines.  What factors could have biased this result and what would you look into?

You are testing hundreds of hypotheses with many t-tests. What considerations should be made?

What is a key disadvantage of the F-test when compared to multiple t-tests?

What is a key disadvantage of the F-test when compared to multiple t-tests?

Hundreds of Hypotheses

You are testing hundreds of hypotheses with many t-tests. What considerations should be made?

In an A/B test, how can you check if assignment to the various buckets was truly random?

In an A/B test, which of the following is a common method to determine if the assignment to the test groups was truly random?

In an A/B test, which of the following is a common method to determine if the assignment to the test groups was truly random?

Random Bucketing

A/B Testing & Experimentation

HR Analytics and Reporting Lead Darwinbox | Hyderabad | 5+ Years Experience About the Role Lead reports and analytics delivery for enterprise customers. Design and develop HR dashboards/reports using Power BI. Manage analytics team and drive customer workshops. On-site position in Hyderabad. Mandatory Requirements Technical Skills: <ul><li>Power BI and/or Tableau (Expert level - MANDATORY) </li><li>Advanced SQL and data modeling </li><li>5+ years with Tier-1 HCM SaaS (Workday, SAP SuccessFactors, Oracle HCM, Darwinbox) </li><li>Strong data visualization and dashboard design skills </li></ul> HR Domain Expertise (Experience in minimum 4 out of 6 modules REQUIRED): <ul><li>Recruiting/Talent Acquisition: Applicant tracking, time-to-hire, candidate pipeline metrics </li><li>Core HR: Employee data, organizational management, headcount analytics </li><li>Time & Attendance: Time tracking, leave management, attendance patterns, overtime </li><li>Payroll: Payroll processing, compensation, tax compliance, pay equity analysis </li><li>Performance Management: Goal setting, appraisals, ratings distribution, calibration </li><li>Talent Management: Succession planning, career development, learning analytics </li></ul> Leadership & Communication: <ul><li>2+ years managing analytics teams </li><li>Strong customer-facing skills with ability to lead workshops and present to C-suite </li><li>Proven track record of quality delivery and stakeholder management </li></ul>Key Responsibilities <ul><li>Advise customers on adoption of delivered reports and dashboards </li><li>Design and develop custom HR dashboards, reports, and analytics solutions across all HR modules </li><li>Lead customer workshops to gather requirements and present analytics solutions </li><li>Manage, mentor, and develop a team of analytics developers </li><li>Ensure timely delivery and quality of all analytics projects </li><li>Hands-on development of complex dashboards using Power BI </li><li>Define and enforce analytics best practices and governance frameworks</li></ul>

Question	Topic	Difficulty	Ask Chance
Boarding Times Bias	Statistics	Medium	Very High
Hundreds of Hypotheses	Statistics	Medium	Very High
Random Bucketing	A/B Testing & Experimentation	Medium	Very High

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