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Meta Data Analyst Interview Guide

Interview Guide Jan 02

Detailed, specific guidance on the Meta Data Analyst interview process - with a breakdown of different stages and interview questions asked at each stage

The role of a Meta Data Analyst

Meta is one of the world's largest internet companies whose business growth and expansion hinges on ingenious data-driven decisions. It is for this reason that Meta is looking to hire smart data analysts.

Data analysts gather and carefully analyze information. They use various data analysis tools to derive meaningful and actionable results from raw data. Such insights can help their employers or clients make important decisions by identifying various facts and trends.

Data Analyst average salary at Meta:

  • Entry-level salary :$98,000 
  • Senior positions   :$210,000. 
  • Median salary      :$138,000 with base component being $90,000, stock component being $30,000 and bonus being $18,000.

Roles and responsibilities 

Data analysts at Meta work on many different teams and their role is quite cross-functional. They work to provide useful actionable insights on its products, marketing strategies, core operations etc.

Some of the Meta Data Analyst teams are:

  • Community Operations
  • Digital Rights Operations
  • Payments Risk
  • People Analytics
  • Consumer Research
  • Commerce Partnerships
  • Community Operations
  • Sustainability 
  • Legal

The exact role of a data analyst at Meta will depend on which team they are assigned to. Here's a list of the more generic responsibilities that data analysts at Meta across the board have to fulfil:

  • Analyse data independently to deliver insights about operational performance and proactively drive improvements
  • Investigate key problem areas by performing root cause analyses, corroborating quantitative and qualitative findings
  • Effectively plan and collaborate with a global team on data-driven initiatives to solve complex operational problems
  • Collaborate with operations and data-focused teams within and outside Scaled Operations to solve problems, develop solutions and share insights
  • Apply data expertise to successfully support cross-functional operational needs

Preferred Skills and Qualifications 

  • 4+ years of experience with data reporting and analysis in a variety of environments. MFG Systems experience, but other environments may also provide valuable experience
  • 2+ years of experience with SQL, Tableau, or other reporting software experience with design of reporting development
  • Experience with Root Cause analysis and development of large systems via requirements gathering
  • Experience in an environment focused on Data Integrity
  • Experience integrating data sources across a broad spectrum of systems (eg: ERP, MES, Shop Floor Automation, OSI Pi, etc.)
  • Experience with statistical analysis/data science
  • Bachelors in engineering or scientific discipline or extensive experience in data systems
  • Familiarity with HIVE or similar big data systems
  • Experience with MES architecture and automation system (SECS/GEM, OPC, etc.) communications
  • Experience in semiconductor development manufacturing
  • Design of databases/data aggregation systems

Meta Data Analyst Interview Guide

The Meta Data Analyst interview process follows a 3-step interview format. The interview process starts with an initial telephonic interview, called the initial screen, with a recruiter. Candidates who clear the initial screen are then set up for the hiring manager screen. The final stage of the interview process is called the onsite round. The onsite round comprises 4 one-on-one interviews, with a short lunch break in between. 

Relevant Guides

Meta DS - Initial Screen


The initial screen is a 30-45 minute telephonic interview with the recruiter. This is largely a familiarization interview where the recruiter tries to understand your professional interests and sees if it aligns with the role you have applied for. The recruiter may also ask a couple of technical questions in this round.

In the course of the interview, the recruiter will tell you about Meta, its culture, the team you are applying for, and share information as to what the scope of the current job would be.

Interview Questions

1.Tell us something about the most complex project you have handled.

2.How do you maintain data integrity when analyzing data from multiple sources?

Meta DA - Hiring Manager Screen


This hiring manager screen is largely similar to those conducted at other tech companies such as Amazon, Apple, Microsoft etc. The hiring manager round lasts for 30-45 minutes. Here, the interviewer asks some basic questions regarding your CV, past experiences, your motivation for the role of data analyst and that for working at Meta. 

Interview Questions

Most commonly asked questions in the Hiring Manager screen

  • Describe a project that you’ve managed. What were your learnings?
  • Why do you want to pursue a career as a Data Analyst?
  • What inspires you to join Meta?
  • Where do you see yourself in the longer term professionally?
  • What aspects of Meta's work culture appeal to you the most?

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Meta DA - Onsite Round


The onsite interview is the final stage of the Meta data analyst interview process. It consists of 4 one-on-one interviews, each around 30 minutes long. Two of these are technical interviews while the other two are behavioural interviews. These interviews would be conducted by a hiring manager, team manager, and developer (to determine your SQL and data analytics skills). There is a one-hour lunch break in between the interviews. Candidates can use this time to interact with a current Meta data analyst to better understand the role and company culture.

Let's understand the onsite interview round in a little more detail:

Technical Interview 1: SQL

The first technical interview will test your SQL skills. There will be a few theoretical questions to check your conceptual clarity on SQL. You will also get one or two SQL coding questions. The format is quite simple. You will be given some data tables and rows, and based on it, you will have to solve the question.

Most asked interview questions in the SQL technical interview of Onsite round


  • Using the above worker table order, write an SQL query to fetch “FIRST_NAME” from the Worker table using the alias name as <WORKER_NAME>.
  • Using the above worker table order, write an SQL query to print all Worker details from the Worker table order by FIRST_NAME Ascending and DEPARTMENT Descending.
  • How would you explain confidence intervals to a layman?
  • How can we filter or subset data in SQL?

Technical interview 2: Analytics

The second technical interview will test your ability to apply logical reasoning and analytics concepts to derive actionable business insights from given data. You may be asked to answer a couple of open-ended data-related scenario-based questions.

These questions can be based on a wide range of topics such as community operations, data modelling, business metrics, dashboard reporting, risk analytics etc. You’re expected to analyze the case, make suitable hypotheses, and then answer the questions.

Most commonly asked analytics questions

  • How would you design a dashboard to highlight a particular aspect of user behaviour?
  • Let's say we want to solve some questions around the health, growth, and engagement of a Meta product. What kind of metrics would you want to consider when doing this?
  • What metrics would you use to find out the success rate of Meta stories?

Behavioural interview

There are going to be a couple of behavioural interviews in the onsite round. They will be a test of the behavioural aspects of your personality. There may be questions related to motivation for the job, and some situational questions to test your leadership skills.

Most asked questions in the behavioural interviews of the onsite round:

  • What is the toughest situation you faced and how did you handle it?
  • Tell us about a time when your team members did not agree with your proposition. How did you handle the situation?
  • How did you manage when a project deadline was missed?


  • Since one of the technical rounds focuses exclusively on SQL, revise your SQL concepts well.
  • Follow the think-out-loud approach in open-ended scenario-based questions. It is important to let the interviewer know your approach to the problem and not just the solution.
  • Be familiar with Meta's products as some questions might be based on these.
  • Do not hesitate to ask clarifying questions to the interviewer.
  • Keep an answer ready for the cliched "Why Meta?" question.

So, this was a quick round-up of the Meta data analyst interview process. If you diligently follow the tips mentioned in the guide, we are super sure you will crack the interview.

Thanks for reading!

All the best!

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Frequently Asked Questions