Enverus is a leading energy SaaS company, recognized for its ability to deliver innovative solutions for the energy markets. Its focus on big data and analytics helps streamline operations and decision-making within the energy sector, making it a critical player in the industry.

If you're considering the Growth Marketing Analyst position at Enverus, expect to dive deep into data-driven marketing strategies. The role demands proficiency in data analysis, trend identification, and the ability to leverage insights to drive marketing growth. Ideal candidates should demonstrate a keen understanding of digital marketing channels, possess strong quantitative skills, and exhibit a capacity for problem-solving.

To help you prepare for the interview process, Interview Query provides a detailed guide on what to expect and how to succeed. From tackling common interview questions to mastering case studies, we've got you covered. Let's embark on this journey to secure your place at Enverus!

Submitting Your Application

The first step is to submit a compelling application that reflects your technical skills and interest in joining Enverus as a Growth Marketing 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.

Recruiter/Hiring Manager Call Screening

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 Growth Marketing 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 Enverus Growth Marketing 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 marketing systems, digital analytics, and SQL queries.

In the case of marketing analyst roles, take-home assignments regarding market research, analytics, and data visualization are incorporated. Apart from these, your proficiency against hypothesis testing, probability distributions, and marketing strategy 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 Enverus office. Your technical prowess, including market analysis and SQL 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 Growth Marketing Analyst role at Enverus.

Quick Tips For Enverus Growth Marketing Analyst Interviews

• Know Your Enverus Products and Services: Enverus questions often rely heavily on situational scenarios with their products and services. Study Enverus’s portfolio and understand how you would personally improve or market them.
• Be Data Driven: Enverus assesses how well you can provide market-driving insights with data analytics. Brush up on your knowledge of marketing analytics, statistics, and probability, given these questions can be some of the hardest to solve.
• Embody the Company Culture: Enverus values a collaborative, employee-focused culture that drives innovation. Practice responding to behavioral questions with answers that touch on Enverus’s core values.

Typically, interviews at Enverus vary by role and team, but commonly Growth Marketing 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 the 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 job postings per day have 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.

• Write a function to return the median value of a list 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 data layouts? You have data on student test scores in two different layouts. Identify the drawbacks of these layouts, suggest formatting changes for better analysis, and describe common problems in "messy" datasets.

• How would you evaluate whether using a decision tree algorithm is the correct model for predicting loan repayment? You are tasked with building a decision tree model to predict if a borrower will pay back a personal loan. How would you evaluate if a decision tree is the right choice, and how would you assess its performance before and after deployment?

• How does random forest generate the forest and why use it over logistic regression? Explain the process by which a random forest generates its ensemble of trees. Additionally, discuss why one might choose random forest over logistic regression for certain problems.

• When would you use a bagging algorithm versus a boosting algorithm? Compare two machine learning algorithms. Describe scenarios where you would prefer a bagging algorithm over a boosting algorithm, and discuss the tradeoffs between the two.

• How would you justify using a neural network for a business problem 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 evaluate the accuracy and validity of the model?

What is the average salary for a Growth Marketing Analyst at Enverus?

Q: What does Enverus specialize in?

Enverus is a leading energy SaaS company that provides data analytics, insights, and decision-support tools to the oil and gas, power, and renewable energy sectors. Their solutions help clients drive strategic decision-making and operational efficiency.

Q: What does a Growth Marketing Analyst do at Enverus?

A Growth Marketing Analyst at Enverus focuses on data-driven marketing strategies to drive user acquisition and engagement. Responsibilities include analyzing marketing performance, conducting market research, and collaborating on promotional campaigns to support the company's growth.

Q: What skills are required for the Growth Marketing Analyst position at Enverus?

Candidates should have strong analytical skills, experience with data visualization and marketing analytics tools, familiarity with digital marketing strategies, and effective communication abilities. Proficiency in SQL, Excel, and data analysis platforms is highly beneficial.

Q: What is the interview process like for the Growth Marketing Analyst role at Enverus?

The interview process typically includes an initial recruiter call, followed by a technical interview to assess your analytical and marketing skills, and possibly an on-site interview to evaluate cultural fit and problem-solving abilities.

Q: How can I prepare for an interview at Enverus?

To prepare, you should understand Enverus' products and services, practice common interview questions, and review your analytical and digital marketing skills. Utilize resources like Interview Query for practice and insights into common interview scenarios.

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 Growth Marketing Analyst 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!