채용
Benefits & Perks
•Parental leave
•Comprehensive health, dental, and vision insurance
•Competitive salary and equity package
•Generous paid time off and holidays
•Flexible work arrangements
•401(k) matching
•Parental Leave
•Healthcare
•Equity
•Flexible Hours
Required Skills
PostgreSQL
Python
React
Seamless user experiences are key to Meta's mission of bringing the world closer together. As a Product Analyst supporting the Quality Assurance (QA) team in the Product Quality & Experience (PQX) organization, you will partner with QA teams and platform engineers to empower Meta to deliver great product experiences at scale for people and businesses.By applying your technical skills, analytical mindset, and business intuition to one of the richest data sets in the world, you will help define the experiences we build for billions of people and hundreds of millions of businesses around the world. You will use data and analysis to identify and solve QA's biggest challenges. You will influence strategy and investment decisions with data, be focused on impact, and collaborate with other teams. You won't simply present data, but tell data-driven stories. This role will focus on optimizing QA operations and processes to ensure efficient, scalable, and timely functional correctness signal to ensure our products are working as designed. There will also be collaboration with our International Testing team that focuses on in-market functional correctness and usability signal.
You will join the Global Experience Analytics team with presence in Quality Assurance, Global Experience Platform, International Growth, Internationalization, Product Quality & Experience, and Global Response.
Product Analyst, Product Quality and Experience Responsibilities:
- Identify and measure success of QA efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends
- Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop product quality & testing strategies for our products that serve billions of people and hundreds of millions of businesses
- Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches
- Partner with Product Quality & Experience leadership, Engineering, Vendor Management, and cross-functional teams to inform, influence, support, and execute localization strategy and investment decisions
- Collaborate with QA leads, program managers and engineers to understand data needs, representing key data insights in a meaningful way
Minimum Qualifications:
- Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta
- 3+ years of work experience in analytics or data engineering or 2+ years of experience with a Masters Degree. Analytics experience is non-negotiable
- Experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and basic statistics knowledge
Preferred Qualifications:
- Experience with operations research, forecasting, automated testing, or dev ops
About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and Whats App further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.
$105,000/year to $156,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.
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About Meta

Meta
PublicA social technology company that enables people to connect, find communities, and grow businesses.
10,001+
Employees
Menlo Park
Headquarters
$800B
Valuation
Reviews
3.4
26 reviews
Work Life Balance
2.3
Compensation
4.2
Culture
2.8
Career
3.1
Management
2.1
45%
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Pros
Excellent compensation and benefits
Smart and talented colleagues
Fast-paced and challenging work environment
Cons
Frequent layoffs and job insecurity
Poor leadership and management accountability
High stress and competitive work environment
Salary Ranges
40,175 data points
Mid/L4
Mid/L4 · Product Manager
1,253 reports
$369,821
total / year
Base
$212,277
Stock
$120,483
Bonus
$37,061
$250,214
$571,998
Interview Experience
6 interviews
Difficulty
4.2
/ 5
Duration
21-35 weeks
Offer Rate
17%
Experience
Positive 17%
Neutral 17%
Negative 66%
Interview Process
1
Application Review
2
Recruiter Screen
3
Online Assessment
4
Technical Phone Screen
5
Coding Interviews
6
System Design Interview
7
Behavioral Interview
8
Final Loop/Hiring Manager Round
Common Questions
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
Live Coding
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