Zayo Group is a leading global communications infrastructure provider, delivering fiber & transport, packet, and managed edge services. With a Tier 1 IP backbone spanning 134,000 miles across North America and Europe, Zayo fuels innovation across industries such as wireless, hyperscale, media, tech, and finance.
As a Data Analyst at Zayo, you will join the Business Insights and Analytics team to provide data-driven insights and strategic recommendations. The role involves collecting, analyzing, and interpreting large datasets, developing data models and visualizations, and collaborating with cross-functional teams to identify business opportunities. Proficiency in data analysis tools like SQL, Python, R, and experience with visualization tools like Tableau or Power BI are crucial. Strong analytical, problem-solving, and communication skills are essential to effectively present insights to stakeholders and drive business growth.
The first step is to submit a compelling application that reflects your technical skills and interest in joining Zayo Group as a data analyst. Whether you were contacted by a Zayo 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 Zayo 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 Zayo 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.
Successfully navigating the recruiter round will present you with an invitation for the technical screening round. Technical screening for the Zayo 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 Zayo’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 Zayo 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 data analyst role at Zayo.
Quick Tips For Zayo Data Analyst Interviews
Brush Up on Data Tools: Make sure to review and practice using SQL, Python, R, Excel, Tableau, and Power BI as they are important tools for a data analyst role at Zayo.
Understand Business Operations: Zayo evaluates how well you can identify business opportunities and make data-driven recommendations. Familiarize yourself with business operations and data architecture of Zayo.
Project Management Skills: Highlight any project management experiences during the interview to show your ability to manage multiple projects simultaneously.
Typically, interviews at Zayo Group 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. Note: Complexity of (O(n)) required.
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 ranked by popularity via the id
column. Create a subquery or common table expression named top_ads
containing the top 3 ads 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 someone without a technical background. 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 type of regression would be appropriately used.
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 text customers when the model detects a fraudulent transaction, allowing the customer to approve or deny the transaction with a text response. How would you build this model?
What is the difference between Logistic and Linear Regression? Explain the difference between Logistic and Linear Regression. When would you use one instead of the other in practice?
What does the backpropagation algorithm do in neural networks? Describe the backpropagation algorithm in the context of neural networks. What is the informal intuition behind the algorithm? What are some drawbacks of the algorithm compared to other optimization methods? Bonus: Formally derive the backpropagation algorithm and prove that it does what it claims to do.
A: To apply for a Data Analyst position at Zayo Group, you need a Bachelor's or Master's degree in a related field such as Business Administration, Statistics, Mathematics, Computer Science, or Engineering. Additionally, strong analytical skills and experience working with large datasets, data analysis tools (e.g., SQL, Python, R, or Excel), and data visualization tools (e.g., Tableau or Power BI) are required.
A: As a member of the Zayo Business Insights and Analytics team, you will be responsible for collecting, analyzing, and interpreting large datasets. Your tasks include generating insights and identifying trends, developing data models and visualizations, conducting ad-hoc analysis, collaborating with cross-functional teams, and presenting findings to senior leadership.
A: Key skills include strong analytical abilities, proficiency in data analysis tools like SQL, Python, R, or Excel, and experience with data visualization tools such as Tableau or Power BI. Strong communication and presentation skills, as well as the ability to work collaboratively in a team environment and manage multiple projects at once, are also important.
A: Zayo Group is a leading global communications infrastructure provider with a mission to fuel innovation across various industries. Working here, you can expect a collaborative environment that values innovation, data-driven decision-making, and continuous improvement. The company often encourages employees to stay up-to-date with industry trends and best practices in analytics and data visualization.
A: To prepare for an interview at Zayo Group, research the company and its industry. Practice common data analysis and problem-solving questions. Utilize resources like Interview Query to hone your technical skills and get familiar with business operations and analytical tools. Be ready to discuss your past experiences, particularly those that demonstrate your ability to work with large datasets and present complex data insights effectively.
If you're eager to leverage your analytical expertise and passion for data to drive business growth at a top-tier company, the Data Analyst position at Zayo Group could be your next big opportunity. With responsibilities that immerse you in descriptive and predictive analytics, team collaboration, and strategic data-driven decision-making, you'll have the chance to make a meaningful impact. To better prepare and enhance your chances, visit our main Zayo Group Interview Guide. At Interview Query, we equip you with precise insights, practice questions, and strategic advice for excelling in your interview. Dive in to uncover your full potential and step confidently toward your future role at Zayo Group. Good luck with your interview!