Strategic Product Operations Analyst, Corp Engineering

Google

Google is a global technology company that builds innovative products and services used by billions of people worldwide.

Hyderabad, Telangana, India

Data

Mid-Level Software Engineer

Contact Company

4+ years of experience

Enterprise SaaS

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Description For Strategic Product Operations Analyst, Corp Engineering

Product and Business Strategy Leaders at Google bring together teams across functions to help products execute optimally. The team pushes Google to scale at key points that refine products and infrastructure by executing efficiently, bringing solid business sense and sound judgment, and working effectively across organizational lines. Roles often include components of strategy, operations, and communications. The team partners with senior leadership to run important functions that cross-cut existing organizations and deliver high impact projects. They help Engineers, PMs, UX, and all other functions to build amazing products that delight users and get those products into their hands.

Corp Eng builds world-leading business solutions that scale a more helpful Google for everyone. As Google's IT organization, they provide end-to-end solutions for organizations across Google. With an inclusive mindset, they deliver the right tools, platforms, and experiences for all Googlers as they create more helpful products and services for everyone.

The Strategic Product Operations Analyst role requires executing project strategies, owning project delivery, partnering with Corp Eng India Leads for analyses and metrics, and communicating with senior leadership. The ideal candidate should have a strong background in data analysis, experience with tools like SQL and R, and knowledge of business and engineering operations.

Last updated 5 months ago

Responsibilities For Strategic Product Operations Analyst, Corp Engineering

Execute overall project strategy to translate leadership direction into plans, insights, and impact
Own project delivery, keeping multiple, complex plans/roadmaps moving at the same time and landing on schedule
Partner with the Corp Eng India Leads to prioritize and execute sophisticated quantitative analyses, support definition and measurement approach design for key performance metrics
Communicate goals, approach, outcomes to senior leadership and to the broader organization

Requirements For Strategic Product Operations Analyst, Corp Engineering

Bachelor's degree or equivalent practical experience
4 years of experience in management consulting, product management and strategy, or analytics in a technology company
Experience working with and analyzing data
Experience with R, SQL, spreadsheets, or similar analytics tools
Experience working with product and engineering teams
Excellent problem-solving skills, with experience executing strategic and operational initiatives
Knowledge of best practices in business operations, engineering operations, and of service operations

Google

Google is a global technology company that builds innovative products and services used by billions of people worldwide.

Hyderabad, Telangana, India

Data

Mid-Level Software Engineer

Contact Company

4+ years of experience

Enterprise SaaS

Google

Find the length of the longest strictly increasing subsequence in an array of integers. Describe your approach and its complexity, considering edge cases. Provide examples to illustrate your solution. How would the approach handle edge cases such as an empty array, or an array with only one element, impacting complexity and efficiency of the approach taken? What is the time and space complexity of your solution? Provide the results for the sample arrays `[1, 3, 2, 4, 5]` and `[10, 9, 2, 5, 3, 7, 101, 18]` to ensure proper functionality of your function, by returning 4 in both test cases. This will ensure a good understanding of increasing subsequences in a sequence of numbers in an array, while testing for a well-defined approach that is efficient to use with a variety of test data sets. This showcases proficiency in algorithmic thinking and problem-solving skills by handling an array of integers to find the longest length of a strictly increasing subsequence while addressing edge cases that may arise from the sample data set used in this test case. It shows a deep understanding of the problem, as well as the ability to articulate, plan and design a proper solution to provide the right output for each test case provided in this simulated scenario. This emphasizes the importance of code quality and readability, alongside accuracy of the algorithm to assess for proficiency in the related subject matter of programming and computer science principles that are essential for the role being assessed during this interview process. This would ensure your approach is robust and adaptable to different datasets, showcasing a solid understanding of data structures and algorithms and best practices for writing clean and efficient code for software development tasks that require these skills on the job daily in a multitude of projects throughout different teams as well as departments that handle data sets of different formats for various software being implemented across platforms where these are deployed for specific functions that relate to them to facilitate the development process for various user needs and requirements in the long run over the years in the industry with current trends using similar coding techniques at this stage or level of sophistication regarding different paradigms applicable here according to what can be adopted as far as current resources permit at any given point along the timeline for improvements that are needed in relation with available funds at the moment etcetera, to keep things viable for longer-term sustainability within market forces at this juncture given whatever competing forces might impact profitability.

Data Structures & AlgorithmsHard

Let's simulate a coding interview scenario. I'd like you to solve a problem and articulate your thought process as you go. Imagine you're given an array of integers. Your task is to write a function that finds the length of the longest strictly increasing subsequence in that array. A strictly increasing subsequence is a sequence of numbers from the array such that each number is greater than the previous one, and their original order in the array is maintained. For example, in the array [1, 3, 2, 4, 5], one possible increasing subsequence is [1, 2, 4, 5], and the longest increasing subsequence is [1, 2, 4, 5], which has a length of 4. Another possible increasing subsequence is [1, 3, 4, 5] which has length of 4. Your function should return 4 in this case. Another example is [10, 9, 2, 5, 3, 7, 101, 18]. The longest increasing subsequence is [2, 3, 7, 18], which has a length of 4. Your function should return 4. Can you describe your approach and then implement the function? Consider edge cases, like an empty array or an array with only one element. How would your approach handle those? What is the time and space complexity of your solution?

Arrays

Dynamic Programming

Google

Design a URL shortening system.

System DesignMedium

Let's design a system for URL shortening, like TinyURL. Assume that we need to handle a large number of requests, say billions of URLs per day. Consider the following: Functional Requirements: The system should generate a shorter, unique alias for a given URL. Users should be able to enter a shortened URL and be redirected to the original URL. The shortened URLs should be relatively short. Non-Functional Requirements: The system should be highly available. URL redirection should be as fast as possible. The shortened URLs should be unique. The system should be scalable to handle a large number of URLs and requests. Considerations: How would you design the data model to store the mappings between shortened and original URLs? What algorithms would you use to generate the shortened URLs? Consider the trade-offs between different algorithms. How would you handle collisions (when the same shortened URL is generated for two different original URLs)? What kind of database would you use and why? How would you handle the high volume of traffic and ensure low latency for redirection? Consider caching strategies. How would you scale the system to handle future growth? Walk me through your design, explaining your choices and the rationale behind them. Include diagrams and specific technologies where appropriate. Explain how you would ensure the system meets the requirements for availability, performance, and scalability.

Database Problems

Arrays

Strings

Google

Where do you see yourself in 5 years?

Behavioral

Where do you see yourself in 5 years?

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