Product Growth Analyst

Meta; Madison (WI); Remote; USD 165,000 - 181,000; Full time

Job summary

A leading technology company in Madison, Wisconsin is seeking a Growth Strategy Lead to enhance product performance through data-driven insights and collaboration. The role requires a Bachelor's degree in a related field and 2 years of relevant experience, with a competitive compensation package including a salary range of $165,986 to $180,400 per year plus bonuses and equity.

Qualifications

• Minimum 2 years experience in data analytics-related occupation.
• Experience with data sets manipulation and statistical software.
• Funnel/website optimization experience.

Responsibilities

• Lead growth strategy across a large product area.
• Drive long term growth through data analysis and experimentation.
• Identify opportunities to drive growth.

Skills

Quantitative analysis

Working collaboratively

Statistical software (R, SAS)

SQL

Product optimization

Making analytical, data-driven decisions

Statistics

Education

Bachelor’s degree in Business Analytics or related field

Job description

Overview

Summary:

Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp 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. To apply, click “Apply to Job” online on this web page.

Responsibilities

1. Lead growth strategy across a large product area and drive cross-team alignment.

2. Drive long term growth of Meta Inc products through a combination of data analysis, product ideation, and experimentation to optimize product experiences.

3. Understand trends in user behavior and product usage to influence growth strategy.

4. Identify opportunities to drive growth and prioritize them to maximize long-term growth.

5. Execute on projects by working closely with engineering and other members of product teams to land impact on product goals.

6. Lead experimentation from designing tests to analyzing results that lead to launch decisions.

7. Telecommute from home is permitted.

Minimum Qualifications

1. Bachelor’s degree (or foreign degree equivalent) in Business Analytics, Statistics, Economics, Mathematics, Engineering, or related field, and 2 years of experience in job offered or in a data analytics-related occupation

2. Requires 2 years of experience in the following:

   • Quantitative analysis
   • Working collaboratively with product teams, such as product management, engineering, design, data science, or data engineering
   • Manipulating data sets through statistical software (R, SAS, or Pivot Tables)
   • Funnel/website optimization or outbound communication channels like email or push notifications
   • SQL
   • Product optimization or growth best practices
   • Making analytical, data-driven decisions and communicating the results of analyses
   • Statistics, including hypothesis testing, product experimentation, regressions, and experimentation logic and biases

Benefits

Public Compensation: $165,986/year to $180,400/year + bonus + equity + benefits

Industry: Internet

Equal Opportunity

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 [e-mail].