InMoment is a leading provider of Experience Improvement (XI) solutions, helping businesses transform customer feedback into actionable insights. Renowned for leveraging advanced data analytics, InMoment aids companies in understanding and improving their customers' experiences across various touchpoints.

As a Data Analyst at InMoment, you will play a crucial role in analyzing data from multiple sources to uncover trends, generate insights, and provide recommendations that enhance the overall customer experience. This position demands keen analytical skills, proficiency in statistical software and tools, and an ability to translate data into meaningful business strategies.

If you aspire to join InMoment as a Data Analyst, this guide is for you. We’ll walk you through the interview process, present commonly asked interview questions, and offer valuable tips to help you succeed. Let's dive in!

Submitting Your Application

The first step is to submit a compelling application that reflects your technical skills and interest in joining InMoment as a Data Analyst. Whether you were contacted by an InMoment recruiter or have taken the initiative yourself, carefully review the job description and tailor your CV according to the prerequisites.

Tailoring your CV may include identifying specific keywords that the hiring manager might use to filter resumes and crafting a targeted cover letter. Furthermore, don’t forget to highlight relevant skills and mention your work experiences.

Recruiter/Hiring Manager Call Screening

If your CV happens to be among the shortlisted few, a recruiter from the InMoment Talent Acquisition Team will make contact and verify key details like your experiences and skill level. Behavioral questions may also be a part of the screening process.

In some cases, the InMoment Data Analyst hiring manager stays present during the screening round to answer your queries about the role and the company itself. They may also indulge in surface-level technical and behavioral discussions.

The whole recruiter call should take about 30 minutes.

Technical Virtual Interview

Successfully navigating the recruiter round will present you with an invitation for the technical screening round. Technical screening for the InMoment Data Analyst role usually is conducted through virtual means, including video conference and screen sharing. Questions in this 1-hour long interview stage may revolve around InMoment’s data systems, ETL pipelines, and SQL queries.

In the case of Data Analyst roles, take-home assignments regarding product metrics, analytics, and data visualization are incorporated. Apart from these, your proficiency against hypothesis testing, probability distributions, and machine learning fundamentals may also be assessed during the round.

Depending on the seniority of the position, case studies and similar real-scenario problems may also be assigned.

Onsite Interview Rounds

Followed by a second recruiter call outlining the next stage, you’ll be invited to attend the onsite interview loop. Multiple interview rounds, varying with the role, will be conducted during your day at the InMoment office. Your technical prowess, including programming and ML modeling capabilities, will be evaluated against the finalized candidates throughout these interviews.

If you were assigned take-home exercises, a presentation round may also await you during the onsite interview for the Data Analyst role at InMoment.

Quick Tips For InMoment Data Analyst Interviews

You should plan to brush up on any technical skills and try as many practice interview questions and mock interviews as possible. A few tips for acing your InMoment interview include:

• Understand InMoment Products: InMoment questions are standardized and rely heavily on situational scenarios with their products. Study InMoment’s large breadth of products and understand how you would personally improve or test them.
• Be Data Driven: InMoment’s data analyst interviews assess how well you can provide business-driving insights with data science. Brush up on your knowledge of statistics and probability, given these questions can be some of the hardest to solve.
• Embody the Spirit: InMoment at its core has a collaborative, employee-focused culture that values innovation. Practice responding to behavioral questions with answers that touch on InMoment’s core values.

Typically, interviews at Inmoment vary by role and team, but commonly Data Analyst interviews follow a fairly standardized process across these question topics.

• Write a SQL query to select the 2nd highest salary in the engineering department. Write a SQL query to select the 2nd highest salary in the engineering department. If more than one person shares the highest salary, the query should select the next highest salary.

• Write a function to merge two sorted lists into one sorted list. Given two sorted lists, write a function to merge them into one sorted list. Bonus: What's the time complexity?

• Write a function missing_number to find the missing number in an array. You have an array of integers, nums of length n spanning 0 to n with one missing. Write a function missing_number that returns the missing number in the array. Complexity of (O(n)) required.

• Write a function precision_recall to calculate precision and recall metrics from a 2-D matrix. Given a 2-D matrix P of predicted values and actual values, write a function precision_recall to calculate precision and recall metrics. Return the ordered pair (precision, recall).

• Write a function to search for a target value in a rotated sorted array. Suppose an array sorted in ascending order is rotated at some pivot unknown to you beforehand. You are given a target value to search. If the value is in the array, then return its index; otherwise, return -1. Bonus: Your algorithm's runtime complexity should be in the order of (O(\log n)).

• Would you think there was anything fishy about the results of an A/B test with 20 variants? Your manager ran an A/B test with 20 different variants and found one significant result. Would you suspect any issues with these results?

• How would you set up an A/B test to optimize button color and position for higher click-through rates? A team wants to A/B test changes in a sign-up funnel, such as changing a button from red to blue and/or moving it from the top to the bottom of the page. How would you design this test?

• What would you do if friend requests on Facebook are down 10%? A product manager at Facebook reports a 10% decrease in friend requests. What steps would you take to address this issue?

• Why would the number of job applicants decrease while job postings remain the same? You observe that the number of job postings per day has remained constant, but the number of applicants has been decreasing. What could be causing this trend?

• What are the drawbacks of the given student test score datasets, and how would you reformat them for better analysis? You have data on student test scores in two different layouts. What are the drawbacks of these formats, and what changes would you make to improve their usefulness for analysis? Additionally, describe common problems in "messy" datasets.

• Is this a fair coin? You flip a coin 10 times, and it comes up tails 8 times and heads twice. Determine if the coin is fair based on this outcome.

• Write a function to calculate sample variance from a list of integers. Create a function that outputs the sample variance given a list of integers. Round the result to 2 decimal places. Example: Input: test_list = [6, 7, 3, 9, 10, 15] Output: get_variance(test_list) -> 13.89

• Is there anything suspicious about the A/B test results with 20 variants? Your manager ran an A/B test with 20 different variants and found one significant result. Evaluate if there is anything suspicious about these results.

• How to find the median in a list with more than 50% of the same integer in O(1) time and space? Given a list of sorted integers where more than 50% of the list is the same repeating integer, write a function to return the median value in O(1) computational time and space. Example: Input: li = [1,2,2] Output: median(li) -> 2

• What are the drawbacks of the given student test score datasets, and how would you reformat them? Analyze the drawbacks of the provided student test score datasets and suggest formatting changes to make the data more useful for analysis. Additionally, describe common problems seen in "messy" datasets.

• How would you evaluate and deploy a decision tree model for predicting loan repayment? You are tasked with building a decision tree model to predict if a borrower will repay a personal loan. How would you evaluate if a decision tree is the correct model? If you proceed, how would you evaluate the model's performance before and after deployment?

• How does random forest generate the forest and why use it over logistic regression? Explain how random forest generates its forest. Additionally, why would you choose random forest over other algorithms like logistic regression?

• When would you use a bagging algorithm versus a boosting algorithm? Compare two machine learning algorithms. In which scenarios would you use a bagging algorithm versus a boosting algorithm? Provide examples of the tradeoffs between the two.

• How would you justify using a neural network model to non-technical stakeholders? Your manager asks you to build a neural network model to solve a business problem. How would you justify the complexity of the model and explain its predictions to non-technical stakeholders?

• What metrics would you use to track the accuracy and validity of a spam classifier? You are tasked with building a spam classifier for emails and have built a V1 of the model. What metrics would you use to track the model's accuracy and validity?

What is the average salary for a Data Analyst at Inmoment?

Q: What is the interview process like for a Data Analyst position at Inmoment?

The interview process at Inmoment generally includes a phone screen with HR, a technical interview with data analysts or engineers, and sometimes a final interview with senior management. These stages are designed to assess your technical skills, problem-solving abilities, and cultural fit with the team.

Q: What types of questions can I expect in the technical interview? Expect a mix of behavioral, technical, and analytical questions. You may be asked to discuss past projects, solve SQL queries, perform data analysis tasks, and demonstrate your proficiency in tools like Excel and Python.

Q: What skills are essential for a Data Analyst role at Inmoment? Key skills required include proficiency in SQL, Excel, and data visualization tools like Tableau. Strong analytical thinking, problem-solving abilities, and a good grasp of statistical concepts are also crucial.

Q: Can I prepare for the Inmoment interview using Interview Query? Absolutely! Interview Query offers a variety of resources, including sample problems, mock interviews, and community insights, to help you prepare effectively for your interview at Inmoment.

Q: What is the company culture like at Inmoment? Inmoment values innovation, collaboration, and continuous improvement. The company fosters an inclusive environment where employees are encouraged to share ideas, take initiatives, and learn from their experiences.

Interviewing for the Data Analyst position at Inmoment can be both thrilling and demanding, but with the right preparation, you can rise to the challenge. If you want more insights about the company, check out our main Inmoment Interview Guide, where we have covered many interview questions that could be asked. We’ve also created interview guides for other roles, such as software engineer and data scientist, where you can learn more about Inmoment’s interview process for different positions.

At Interview Query, we empower you to unlock your interview prowess with a comprehensive toolkit, equipping you with the knowledge, confidence, and strategic guidance to conquer every Inmoment interview question and challenge.

You can check out all our company interview guides for better preparation, and if you have any questions, don’t hesitate to reach out to us.

Good luck with your interview!