Mediavine is a rapidly expanding advertising management company that represents over 10,000 websites in various niches, including food, lifestyle, DIY, and entertainment. As a Top 20 Comscore property, Mediavine reaches over 125 million unique visitors monthly, supporting content creators with best-in-class technology and a commitment to quality and brand safety.
Joining Mediavine as a Data Analyst II on the Engineering team offers the opportunity to collaborate with talented engineers and solve intriguing problems. The Data & Analytics team at Mediavine is dedicated to building platforms and tools that provide insightful data to inform decisions across the company. You will closely work with various teams to develop analytic tools, visualizations, and strategies, using technologies such as DOMO and Snowflake, and contribute significantly to the company's data-driven direction.
The first step to joining Mediavine as a Data Analyst II is to submit a compelling application that reflects your technical skills and interest in the position. Whether you were contacted by a Mediavine 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 is among the shortlisted few, a recruiter from Mediavine’s Talent Acquisition Team will make contact to verify key details like your experiences and skill level. Behavioral questions may also be a part of the screening process.
In some cases, the Mediavine data analyst hiring manager might be present during this screening round to answer your queries about the role and the company itself. They may also engage in preliminary 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 Mediavine 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 Mediavine’s data systems, ETL pipelines, and SQL queries.
For data analyst roles, take-home assignments regarding product metrics, analytics, and data visualization may be incorporated. Apart from these, your proficiency in hypothesis testing, probability distributions, and experiment design 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. Your technical prowess, including programming and data manipulation capabilities, will be evaluated against the finalized candidates throughout these interviews.
If take-home exercises were assigned, a presentation round may also await you during the onsite interview.
Typically, interviews at Mediavine vary by role and team, but commonly Data Analyst interviews follow a fairly standardized process across these question topics.
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 set up this test?
Would you suspect anything unusual if an A/B test with 20 variants shows one significant result? Your manager ran an A/B test with 20 different variants and found one significant result. Would you think there was anything fishy about the results?
Why might the average number of comments per user decrease despite user growth in a new city? A social media company launched in a new city and saw a slow decrease in the average number of comments per user from January to March, despite consistent user growth. What are some reasons for this decrease, and what metrics would you look into?
What metrics would you use to determine the value of each marketing channel for a B2B company? Given all the different marketing channels and their respective costs at a company called Mode, which sells B2B analytics dashboards, what metrics would you use to determine the value of each marketing channel?
How would you locate a mouse in a 4x4 grid using the fewest number of scans? You have a 4x4 grid with a mouse trapped in one of the cells. You can "scan" subsets of cells to know if the mouse is within that subset, but not its exact location. How would you figure out where the mouse is using the fewest number of scans?
Write a function called find_bigrams
to return a list of all bigrams in a sentence or paragraph.
Write a function called find_bigrams
that takes a sentence or paragraph of strings and returns a list of all its bigrams in order. A bigram is a pair of consecutive words.
Write a query to get the last transaction for each day from a table of bank transactions.
Given a table of bank transactions with columns id
, transaction_value
, and created_at
, write a query to get the last transaction for each day. The output should include the id, datetime, and transaction amount, ordered by datetime.
Write a function find_change
to find the minimum number of coins for a given amount of change.
Write a function find_change
to find the minimum number of coins that make up the given amount of change cents
. Assume we only have coins of value 1, 5, 10, and 25 cents.
Write a function to simulate drawing balls from a jar based on their counts.
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
.
Write a function calculate_rmse
to calculate the root mean squared error of a regression model.
Write a function calculate_rmse
to calculate the root mean squared error of a regression model. The function should take in two lists, one that represents the predictions y_pred
and another with the target values y_true
.
Suppose we have 1 ad, rated as bad. What's the probability the rater was lazy?
How would you simulate coin tosses with a given probability of heads? Write a function that takes the number of tosses and the probability of heads as input and returns a list of randomly generated results ('H' for heads, 'T' for tails) equal in length to the number of tosses.
How do you calculate the sample variance of a list of integers? Write a function that takes a list of integers as input and outputs the sample variance, rounded to 2 decimal places.
What is the probability of rolling at least one 3 with dice?
What's the probability of rolling at least one 3 given (N) dice?
What is the probability of finding an item on Amazon's website given its availability in warehouses? Given that the probability of item X being available at warehouse A is 0.6 and at warehouse B is 0.8, what is the probability that item X would be found on Amazon's website?
What kind of model did the co-worker develop for loan approval? Your co-worker developed a model that takes customer inputs and returns if a loan should be given or not. Identify the type of model used.
How would you measure the difference between two credit risk models? Given that personal loans are monthly installments, how would you compare the performance of two credit risk models within a specific timeframe?
What metrics would you track to measure the success of the new credit risk model? Identify the key metrics to track in order to measure the success of a new credit risk model for personal loans.
What metrics would you use to track the accuracy and validity of a spam classifier model? Assume you have built a V1 of a spam classifier for emails. Specify the metrics you would use to evaluate its accuracy and validity.
What are the key differences between classification models and regression models? Explain the main differences between classification models and regression models in machine learning.
When would you use a bagging algorithm versus a boosting algorithm? Compare two machine learning algorithms and provide an example of the tradeoffs between using a bagging algorithm and a boosting algorithm.
What would happen when you run logistic regression on perfectly linearly separable data? Describe the outcome of running logistic regression on a dataset that is perfectly linearly separable.
Mediavine is a fast-growing advertising management company representing over 10,000 websites in the food, lifestyle, DIY, and entertainment spaces. Founded by content creators, for content creators, Mediavine reaches over 125 million monthly unique visitors.
The Data & Analytics team is responsible for building platforms and tools to uncover opportunities for informed decision-making. The team partners with various departments to understand behavior and performance, develop accurate predictors, and create solutions for an optimal internal and external experience.
The current analytics toolkit at Mediavine includes DOMO and dbt running on top of a Snowflake data warehouse. The Data Analyst II is expected to utilize these tools and play a significant role in setting the direction for new technologies.
If you're excited by the challenge of solving interesting problems and driving business forward with insightful, data-based decisions, the Data Analyst II position at Mediavine could be perfect for you. This role offers the opportunity to collaborate with talented engineers on a product used by thousands of publishers, leveraging cutting-edge technologies such as DOMO, dbt, and Snowflake to maximize performance for over 10,000 websites. Mediavine fosters an inclusive, diverse team that values unique perspectives and innovative thinking, offering comprehensive remote-friendly benefits and professional development opportunities.
For more insights about the company, check out our main Mediavine Interview Guide, where we have covered many interview questions that could be asked. We’ve also created interview guides for various roles within Mediavine, including software engineer and other data analyst positions, to help you understand the interview process better.
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 Mediavine data 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!