Cox Enterprises is a leading communications and automotive services company with a strong focus on innovation and sustainability. The company is committed to driving initiatives in areas like media, cleantech, healthcare, and esports, while maintaining their legacy of bold innovation and impact on various industries.
Joining Cox Enterprises as a Senior Data Analyst means becoming a part of their Analytics and Research department. You will play a crucial role in analyzing website and app performance, collaborating with product teams, and executing A/B tests to provide actionable insights for product development and user experience enhancement. With a hybrid work option and comprehensive compensation and benefits, this role offers a dynamic and rewarding environment for advancing your data analytics career.
Explore more about the interview process and job expectations for the Cox Enterprises Senior Data Analyst position on Interview Query.
The first step is to submit a compelling application that reflects your technical skills and interest in joining Cox Enterprises as a Senior Data Analyst. Whether you were contacted by a Cox 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 Cox Enterprises 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 hiring manager may also stay 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 Senior Data Analyst role at Cox Enterprises usually is conducted through virtual means, including video conference and screen sharing.
Questions in this 1-hour long interview stage may revolve around Cox’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.
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 Cox Enterprises 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 Data Analyst role at Cox Enterprises.
Quick Tips For Cox Enterprises Senior 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 Cox Enterprises interview include:
Typically, interviews at Cox Enterprises vary by role and team, but commonly Data Analyst interviews follow a fairly standardized process across these question topics.
Write a function missing_number
to find the missing number in an array of integers.
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. The complexity should be (O(n)).
Create a function first_uniq_char
to find the first non-repeating character in a string.
Given a string, find the first non-repeating character in it and return its index. If it doesn't exist, return -1. Consider a string where all characters are lowercase alphabets.
Write a function inject_frequency
to add the frequency of each character in a string.
Given a string sentence
, return the same string with an addendum after each character of the number of occurrences a character appeared in the sentence
. Do not treat spaces as characters and do not return the addendum for characters that appear in the discard_list
.
Create a query to find the number of rows resulting from different joins on a table of ads.
Allstate is running N
online ads. The table ads
contains all those ads, ranked by popularity via the id
column. Create a subquery or common table expression named top_ads
containing the top 3 ads by popularity and return the number of rows that would result from ads INNER JOIN top_ads
, ads LEFT JOIN top_ads
, ads RIGHT JOIN top_ads
, and ads CROSS JOIN top_ads
. Return the join type and the number of rows for each join type.
How would you explain what a p-value is to someone who is not technical? Explain the concept of a p-value in simple terms to a non-technical person. Use analogies or everyday examples to make it understandable.
What is the difference between Logistic and Linear Regression? When would you use one instead of the other in practice? Describe the key differences between Logistic and Linear Regression. Provide examples of scenarios where each method would be appropriately applied.
How would you build a fraud detection model with a text messaging service for transaction approval? You work at a bank that wants to build a model to detect fraud. The bank also wants to implement a text messaging service that will notify customers when a fraudulent transaction is detected, allowing them to approve or deny the transaction via text response. How would you build this model?
What is the difference between Logistic and Linear Regression, and when would you use each? Explain the differences between Logistic and Linear Regression. Describe scenarios where you would use one instead of the other in practice.
What does the backpropagation algorithm do in neural networks, and what is its intuition? Describe the role of the backpropagation algorithm in neural networks. Explain the informal intuition behind the algorithm and discuss its drawbacks compared to other optimization methods. Bonus: Formally derive the backpropagation algorithm and prove its claims.
The Senior Data Analyst at Cox Enterprises will be involved in tasks like analyzing website performance, conducting A/B tests, capturing reporting requirements, and turning raw data into actionable insights. They will also develop and maintain dashboards, collaborate with various stakeholders, and ensure accurate data tagging and tracking.
Candidates should have a Bachelor’s degree in a related discipline and 4 years of related experience, or an equivalent combination of advanced degrees and experience. Strong knowledge of digital media, advanced SQL skills, experience with Google Analytics, and the ability to build automated dashboards using tools like Power BI or Tableau are essential.
The base salary ranges from $85,500.00 to $128,300.00, with potential additional compensation through incentive programs. The exact salary can vary depending on factors like the candidate’s location, knowledge, skills, and experience.
The position offers a hybrid work option, allowing employees to work remotely part of the week. It provides a dynamic and fast-paced work environment where collaboration with different teams is encouraged to meet analytics objectives.
To prepare, candidates should research Cox Enterprises, familiarize themselves with its products and services, and practice common interview questions using Interview Query. Also, revising technical skills, especially in SQL and data visualization tools, will be beneficial.
Considering the dynamic and innovative work environment at Cox Enterprises, the Senior Data Analyst role promises an engaging and impactful career opportunity. This position is integral to transforming how the Atlanta Journal-Constitution (AJC) leverages data to enhance user experience and drive strategic decision-making. If you're inspired to become part of a progressive team that values knowledge, creativity, and collaboration, preparing thoroughly is essential. For detailed insights into Cox Enterprises' interview process, explore our comprehensive Cox Enterprises Interview Guide. At Interview Query, we equip you with the expertise, confidence, and strategy needed to excel. Don't miss our additional guides for various roles and companies to boost your preparation. Good luck with your interview!