The Evolvers Group is a forward-thinking consulting firm dedicated to delivering innovative solutions and insights to transform businesses. We are currently seeking a Senior Enterprise Data Analyst to join our team in Dallas, TX, operating on a hybrid work schedule. This position offers a 12-month contract with attractive benefits, including 8 days of holiday pay and 15 days of PTO.

In this role, you'll work under the general direction of the Delivery Manager within our Enterprise Analytics team. You'll collaborate with data scientists, engineers, and business stakeholders to conduct complex data analyses, develop KPI dashboards, and present findings to facilitate strategic decisions. Proficiency in SQL, MicroStrategy, Tableau, and Power BI is essential, along with strong analytical and problem-solving skills.

If you're excited to join The Evolvers Group and take on the dynamic challenges of a Data Analyst role, this Interview Query guide will walk you through the interview process, commonly asked questions, and tips to help you succeed. Let's get started!

Submitting Your Application

The first step is to submit a compelling application that reflects your technical skills and interest in joining The Evolvers Group as a Senior Enterprise Data Analyst. Whether you were contacted by a 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 Evolvers Group 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 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 Senior Enterprise 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 The Evolvers Group’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 Evolvers Group 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 Senior Enterprise Data Analyst role at The Evolvers Group.

Quick Tips For The Evolvers Group Senior Enterprise Data Analyst Interviews

• Be Proficient in Tools: Ensure you are well-versed in SQL, MicroStrategy, Tableau, and Power BI, as these tools are crucial for this role.
• Focus on Communication: Demonstrate your ability to convey complex information effectively, both in writing and orally.
• Highlight Your Experience: Emphasize your background in enterprise-wide data analytics, and your experience in collaborating with cross-functional teams to drive strategic data-driven initiatives.

Typically, interviews at The Evolvers Group 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 find the maximum number in a list of integers. Given a list of integers, write a function that returns the maximum number in the list. If the list is empty, return None.

• Create a function convert_to_bst to convert a sorted list into a balanced binary tree. Given a sorted list, create a function convert_to_bst that converts the list into a balanced binary tree. The output binary tree should be balanced, meaning the height difference between the left and right subtree of all the nodes should be at most one.

• Write a function to simulate drawing balls from a jar. Write a function to simulate drawing balls from a jar. The colors of the balls are stored in a list named jar, with corresponding counts of the balls stored in the same index in a list called n_balls.

• Develop a function can_shift to determine if one string can be shifted to become another. Given two strings A and B, write a function can_shift to return whether or not A can be shifted some number of places to get B.

• What are the drawbacks of having student test scores organized in the given layouts? Assume you have data on student test scores in two different layouts. Identify the drawbacks of these layouts and suggest formatting changes to make the data more useful for analysis. Additionally, describe common problems seen in "messy" datasets.

• How would you locate a mouse in a 4x4 grid using the fewest scans? You have a 4x4 grid with a mouse trapped in one cell. You can scan subsets of cells to know if the mouse is within that subset. Describe a strategy to find the mouse using the fewest number of scans.

• How would you select Dashers for Doordash deliveries in NYC and Charlotte? Doordash is launching delivery services in New York City and Charlotte and needs a process for selecting dashers. Explain how you would decide which Dashers do these deliveries and whether the criteria for selection would be the same for both cities.

• What factors could bias Jetco's study on boarding times? Jetco, a new airline, had a study showing it has the fastest average boarding times. Identify factors that could have biased this result and what you would investigate further.

• How would you design an A/B test to evaluate a pricing increase for a B2B SAAS company? You work at a B2B SAAS company interested in testing different subscription pricing levels. Your project manager asks you to run a two-week-long A/B test to test an increase in pricing. Describe how you would design this test and determine if the pricing increase is a good business decision.

• How much should we budget for the coupon initiative in total? A ride-sharing app has a probability (p) of dispensing a $5 coupon to a rider. The app services (N) riders. Calculate the total budget needed for the coupon initiative.

• What is the probability of both riders getting the coupon? A driver using the app picks up two passengers. Determine the probability that both riders will receive the coupon.

• What is the probability that only one of them will get the coupon? A driver using the app picks up two passengers. Determine the probability that only one of the riders will receive the coupon.

• What is a confidence interval for a statistic and why is it useful? Explain what a confidence interval is, why it is useful to know the confidence interval for a statistic, and how to calculate it.

• What is the probability that item X would be found on Amazon's website? Amazon has a warehouse system where items are located at different distribution centers. In one city, the probability that item X is available at warehouse A is 0.6 and at warehouse B is 0.8. Calculate the probability that item X would be found on Amazon's website.

• 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.

• What are time series models and why do we need them? Describe what time series models are and explain why they are necessary when simpler regression models are available.

• How would you justify the complexity of building a neural network model and explain predictions 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?

• How would you evaluate the suitability and performance of 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? How would you evaluate its 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?

• How would you explain linear regression to a child, a first-year college student, and a seasoned mathematician? Explain the concept of linear regression to three different audiences: a child, a first-year college student, and a seasoned mathematician. Tailor your explanations to each audience's understanding level.

• What are the key differences between classification models and regression models? Describe the main differences between classification models and regression models.

What is the average salary for a Data Analyst at The Evolvers Group?

Q: What is the primary role of a Senior Enterprise Data Analyst at The Evolvers Group? The Sr. Enterprise Data Analyst plays a key role in enhancing the corporation’s analytical capabilities across various business functions. They conduct complex data analysis, develop KPIs, create dashboards, and present findings to facilitate strategic decision-making.

Q: What qualifications are required for the Senior Enterprise Data Analyst position at The Evolvers Group? You must have at least 5 years of experience in enterprise-wide data analytics and business intelligence. Proficiency in tools like SQL, MicroStrategy, Tableau, and Power BI is required. A bachelor’s degree in fields such as Business, Operations Research, Industrial Engineering, Statistics, or Computer Science is mandatory. A master’s degree in a related field is preferred.

Q: What kind of work schedule and location can I expect? The position is based in Dallas, TX, with a hybrid work schedule that requires you to be in the office 3 days a week, from Monday to Friday, 8 am to 5 pm.

Q: What skills are essential to succeed in this role? Strong analytical and problem-solving skills, the ability to manage multiple projects simultaneously, and proficiency in tools like Microsoft Office Suite, SQL, MicroStrategy, Tableau, and Power BI are crucial. Excellent communication skills to convey complex information clearly and concisely are also essential.

Q: What are some key responsibilities for this role? Key responsibilities include conducting complex data analysis, developing and monitoring KPIs, creating and managing dashboards, presenting findings to stakeholders, and collaborating with cross-functional teams. The role also involves ensuring data integrity and using advanced statistical techniques to support decision-making.

If you want more insights about the company, check out our main The Evolvers Group 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 analyst, where you can learn more about The Evolvers Group’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 The Evolvers Group's data analyst interview questions and challenges.

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!