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Inspire 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?

Let’s say you work for a social media company that has just done a launch in a new city. Looking at weekly metrics, you see a slow decrease in the average number of comments per user from January to March in this city.

The company has been consistently growing new users in the city from January to March.

What are some reasons why the average number of comments per user would be decreasing and what metrics would you look into?

What metric could be used to measure if active users are still engaging on the platform despite an overall decrease in the average number of comments per user?

What metric could be used to measure if active users are still engaging on the platform despite an overall decrease in the average number of comments per user?

Decreasing Comments

How would you investigate a decline in the average number of comments per user?

About Inspire Brands:Inspire Brands is disrupting the restaurant industry through digital transformation and operational efficiencies. The company’s technology hub, Inspire Brands Hyderabad Support Center, India, will lead technology innovation and product development for the organization and its portfolio of distinct brands. The Inspire Brands Hyderabad Support Center will focus on developing new capabilities in data science, data analytics, eCommerce, automation, cloud computing, and information security to accelerate the company’s business strategy. Inspire Brands Hyderabad Support Center will also host an innovation lab and collaborate with start-ups to develop solutions for productivity optimization, workforce management, loyalty management, payments systems, and more. POSITION TITLE:Data Product Manager PURPOSE OF THE POSITIONJob Summary:Inspire is a data driven company that thrives on availability of clean and robust data, supported by strong data products to drive value for the company. These data products form a cornerstone capability for Inspire to increase value for the company and its franchisees. The Data Product manager at Inspire will be the custodian for driving interactions with various stakeholder teams at Inspire including Marketing, Analytics, Data Science, Operations and uncover problems that can be best resolved leveraging the data across multiple sources. They will strategize the data ingestion across sources, transformation, load, and eventual presentation of data for downstream consumption including reporting, building data science models among others. You will collaborate with cross-functional teams, including engineering, data science, data & analytics, and operations, to define and execute against a roadmap that aligns with the product’s overall objectives. In this role, you should be comfortable dealing with large volumes of data, be able to take decisions on merging data, filling in gaps, and handling inconsistencies in data. You should also be comfortable using tools such as SQL to perform and analyze the output from engineering teams. RESPONSIBILITIES:Duties and Responsibilities:<ul><li>Cross-functional Collaboration: Collaborate effectively with cross- functional teams while driving consensus and execution across all aspects of product lifecycle. Participate in PI planning to ensure right items are prioritized for the quarter; Development of and providing progress updates to internal and external stakeholders in a timely manner, and managing disagreements and conflicts 30%</li><li>Initiatives and Epics Definition and Prioritization: Define and document key initiatives, detailed Epics, with clear prioritization approach for driving cross-functional alignment and ensuring clear path for execution by engineering and other teams. Be great at bringing clarity to the engineering team on the purpose behind each delivery item 25%</li><li>Roadmap Planning: Translate data strategy into a roadmap containing well-defined and prioritized capabilities, features and enablers that will realize the product’s vision through incremental value creation for both Inspire and its franchisees 15%</li><li>Data Product Strategy: Partner with Business teams, Data Platform Engineering, Data Science, other cross-functional teams, and other product teams to develop to provide input into our data strategy that incorporates product vision and goals. Drive value by identifying the right problem and the right way to solve it 10%</li><li>Uses Acceptance Testing and Support: Conduct self-testing post development, and execute/support User acceptance testing before feature deployment 10%</li><li>OKR Management/Performance Monitoring: Own development of Team OKRs while monitoring and updating progress; Drive accountability across stakeholders through relevant metrics 5%</li><li>Other Responsibilities: Keep tab on industry best practices, data platform capabilities, and industry knowledge; Ensure all documentation and artifacts are up to date and accurate; Partner with Product Analyst to deliver on committed work 5%</li></ul> EDUCATION QUALIFICATIONS:Education Requirements:Min / PreferredEducation Level:Description<ul><li>Minimum 4 Year Degree / Bachelor’s / MCA</li></ul> Preferred:<ul><li>Masters (MBA)</li></ul> REQUIRED KNOWLEDGE, SKILLS or ABILITIES:<ul><li>Overall, 6 to 8 years of experience working in a professional setup</li><li>2 to 4 years of experience working as a data analyst or technology engineer with deep understanding of data platforms, development of data/model pipelines, and integrations</li><li>2 to 4 years of experience as a product manager working on data platforms or related technology</li><li>Strong knowledge of data pipelines, data APIs, and data quality needs including monitoring and reporting</li><li>Ability to work hands on with data using SQL to analyze data, understand data schemas and governance</li><li>Strong analytical and strategic thinking skills with the ability to make data-driven decisions, able to collect and synthesize information, making it relevant and actionable for key stakeholders</li><li>Strong documentation skills, specifically writing requirements, user acceptance testing, and other strategic documentations to communicate vision and strategy</li><li>Strong collaborator with ability to work laterally and drive alignment across the organization</li><li>Clear communicator with excellent writing, presentation, and influencing skills</li><li>Strong understand of data governance laws and how policies affect data strategies</li><li>Strong understanding of Personally Identifiable Information and data protection related to it</li><li>Familiarity in handling customer related data, and marketing data from different sources</li><li>Knowledge of QSR, hospitality, or retail industry is a strong plus</li><li>Familiarity with machine learning concepts and model deployments</li><li>Is results oriented with ability to operate in ambiguity and deliver tangible business results</li><li>Experience working with teams across geographies is a plus</li><li>Working knowledge with cloud-based data warehouses such as Snowflake</li><li>Experience working with analytical tool such as Databricks, Tableau or similar tools is a plus</li></ul> DECISION-MAKING AUTHORITY:<ul><li>Significant decision making or influencing authority in terms of defining vision, strategy, roadmap, and</li><li>prioritization for a cross functional team spread across multiple product platforms and teams.</li></ul> DIRECT REPORTS:<ul><li>None</li></ul> Travel Required:<ul><li>Minimal – 5%</li></ul> Competencies:Impact of Decision:<ul><li>The impact of decisions by this position to the overall objectives and long-term goals is best described</li><li>Contributes to the completion of company projects and goals</li></ul> Autonomy:<ul><li>The level of autonomy given to this position is best described </li><li>Work is under general supervision; Work is reviewed for adequacy and accuracy throughout the assignment</li></ul> Complexity and Skills:<ul><li>The following statement best describes the complexity of problems and the skills required to solve them. </li><li>Develops solutions to a variety of complex problems. May refer to established precedents and policies.</li></ul> Depth of Knowledge:<ul><li>The depth of knowledge in the given field for this position is best described </li><li>Complete understanding and application of principles, concepts and standards. Full knowledge of industry practices</li></ul> Equal Employment Opportunity Policy:It is the policy of Inspire Brands Inc.™ (“IRB” or the “Company”) to treat all employees and applicants for employment fairly and to provide equal employment opportunities without regard to race, closes, religion, national original or ancestry, ethnicity, sexual orientation, gender identity, age, disability, genetic information, citizenship, military service or veteran status, marital status or any other characteristic protected under applicable federal, state, or local law. This policy applies to all employment practices including recruiting, hiring, placement, pay, promotions, transfers, training, leaves of absence, and termination. Inspire Brands, Inc. expressly prohibits any form of unlawful employment harassment based on race, color, sex, religion, national original or ancestry, ethnicity, sexual orientation, gender identity, age, disability, genetic information, citizenship, military service or veteran status, marital status or any other characteristic protected under applicable federal, state, or local law. Improper interference with the ability of IRB’s employees to perform their expected job duties will not be tolerated

About Inspire Brands:Inspire Brands is disrupting the restaurant industry through digital transformation and operational efficiencies. The company’s technology hub, Inspire Brands Hyderabad Support Center, India, will lead technology innovation and product development for the organization and its portfolio of distinct brands. The Inspire Brands Hyderabad Support Center will focus on developing new capabilities in data science, data analytics, eCommerce, automation, cloud computing, and information security to accelerate the company’s business strategy. Inspire Brands Hyderabad Support Center will also host an innovation lab and collaborate with start-ups to develop solutions for productivity optimization, workforce management, loyalty management, payments systems, and more. Job Description: We are seeking a skilled and motivated Data Engineering Support Analyst to join our team. As a Data Engineering Support Analyst, you will play a crucial role in ensuring the smooth operation and support of our data engineering. Your primary responsibility will be to provide monitoring, and technical assistance, troubleshoot issues, and maintain the reliability and efficiency of our data systems. Responsibilities: <ul><li>Provide L1 / L2 support and maintenance for the data engineering platform. </li><li>Monitor Jobs, troubleshoot failures, and provide the fix to failed jobs. </li><li>Ensure data availability SLA is met. </li><li>Resolve data quality issues by reloading the data into production environments. </li><li>Proactively identify areas for improvement. </li><li>Collaborate with data engineers and other teams to diagnose and resolve technical issues. </li><li>Troubleshoot data-related problems, including data quality issues and job failures. </li><li>Implement and maintain data pipelines, ensuring their reliability and efficiency. </li><li>Assist in the development and optimization of data processing workflows. </li><li>Document processes, procedures, and troubleshooting steps for reference and training purposes. </li><li>Collaborate with cross-functional teams to ensure data infrastructure meets business needs. </li><li>Stay updated with industry trends and best practices in data engineering and support.</li></ul> Requirements: <ul><li>Bachelor's degree in computer science, Information Technology, or a related field. </li><li>Experience of 2-3 years in delivering operational support for Data Platforms. </li><li>Proven experience in data engineering, data analysis, or a similar role. </li><li>Strong knowledge of Snowflake, SNOWSQL, and Databricks. </li><li>Proficiency in scripting or programming languages (Scala, Pi-spark). </li><li>Familiarity with data warehousing concepts and technologies. </li><li>Experience with data pipeline tools (Azure Data Factory, Databricks, SNOWSQL) </li><li>Excellent problem-solving skills and attention to detail. </li><li>Ability to work independently and collaborate effectively in a team environment. </li><li>Strong communication skills to convey technical concepts to non-technical stakeholders. </li><li>Flexible availability for weekend and public holiday coverage on a rotational schedule. </li><li>Adaptability and willingness to learn new technologies and methodologies</li></ul>

Question	Topic	Difficulty	Ask Chance
Boarding Times Bias	Statistics	Medium	Very High
Hundreds of Hypotheses	Statistics	Medium	Very High
Decreasing Comments	Product Metrics	Easy	Very High

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