Enverus is a leading energy-focused SaaS company providing critical insights and analytics for the energy sector. As of 2023, Enverus supports more than 6,000 customers globally with advanced data, insights, and technical solutions, positioning itself as a pivotal player in the energy industry.
Entering the robust environment of Enverus as a Business Analyst involves delving into complex business problems, data analysis, and strategic decision-making. The Business Analyst role at Enverus requires a deep understanding of energy markets, strong analytical skills, and the ability to translate data into actionable insights. You'll be tasked with leveraging data to drive efficiencies and support business objectives across various energy domains.
For those aspiring to thrive in this dynamic sector, Interview Query is here to assist. This guide will take you through the Enverus interview process, highlight key Business Analyst interview questions, and offer essential tips to ace your interview. Let's dive in!
The first step is to submit a compelling application that reflects your technical skills and interest in joining Enverus as a Business Analyst. Whether you were contacted by an Enverus 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.
If your CV happens to be among the shortlisted few, a recruiter from the Enverus 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 Enverus Business 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.
Successfully navigating the recruiter round will present you with an invitation for the technical screening round. Technical screening for the Enverus Business 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 Enverus’s data systems, ETL pipelines, and SQL queries.
In the case of business 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.
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 Enverus 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 business analyst role at Enverus.
Quick Tips For Enverus Business Analyst Interviews
Typically, interviews at Enverus vary by role and team, but commonly Business 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: Determine the time complexity.
Create 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.
Develop 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, return its index; otherwise, return -1. Bonus: Your algorithm's runtime complexity should be in the order of (O(\log n)).
Would you suspect anything unusual 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. Would you consider this result suspicious?
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 steps would you take if friend requests on Facebook are down 10%? A product manager at Facebook reports a 10% decrease in friend requests. What actions would you take to investigate and address this issue?
Why might job applications be decreasing while job postings remain constant? You observe that the number of job postings per day has remained stable, 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 issues 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.
How do you write a function to calculate sample variance?
Write 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]
. Example output: get_variance(test_list) -> 13.89
.
Is there anything fishy about the A/B test results? 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 do you find the median 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]
. Example output: median(li) -> 2
.
What are the drawbacks and common problems in messy datasets? You have data on student test scores in two different layouts (dataset 1 and dataset 2). Identify the drawbacks of these layouts, suggest formatting changes for better analysis, and describe common problems seen in messy datasets.
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 whether a decision tree is the correct model for this problem? If you proceed with the decision tree, 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 a random forest generates its forest of decision trees. Additionally, discuss why you might 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 and explain its 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 this 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 completed a V1 of the model. What metrics would you use to track the accuracy and validity of the model?
Enverus is a leading energy SaaS company that provides data analytics, insights, and workflow solutions to the oil and gas, utilities, and renewable energy sectors. Our aim is to empower decision-making and drive operational efficiencies within the energy industry.
As a Business Analyst at Enverus, you will be responsible for analyzing market data, developing reports, and providing actionable insights to support strategic decision-making. You'll collaborate closely with cross-functional teams and help improve data-driven processes within the organization.
Candidates should have strong analytical skills, proficiency in data analysis tools such as SQL and Excel, and a background in business or a related field. Experience in the energy sector or familiarity with Enverus' products is a plus. Additionally, strong communication and problem-solving abilities are essential.
The interview process typically includes an initial screening call with a recruiter, followed by technical assessments and interviews with team members to evaluate your analytical skills and cultural fit. You may also be asked to complete case studies or practical exercises related to the role.
To increase your chances of success, research the company and its products, understand the latest trends in the energy sector, and get comfortable with the technical tools you'll be using. Practice common interview questions with Interview Query and be ready to discuss your past experiences in detail.
If you want more insights about the company, check out our main Enverus 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 Enverus'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 Enverus 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!