Skip to main contentA logo with &quat;the muse&quat; in dark blue text.

Global Sales Analytics Lead

AT Meta
Meta

Global Sales Analytics Lead

New York, NY

We are seeking a technically sophisticated, business-savvy and detail-oriented individual who will serve as a member of Meta's Global Sales Analytics team. This position will have a day-to-day focus on providing analytical and strategic guidance for Meta's Ads business with the primary objective of enabling sales leadership to make effective, analytically driven decisions.

Global Sales Analytics Lead Responsibilities:

  • Take advantage of massive amounts of structured data to derive insights that will drive business decisions
  • Effectively communicate insights and recommendations to business leads and influence strategic decision-making
  • Develop deep understanding of the Meta ads business, analyzing business and product trends (including regional, channel and vertical performance), recognizing opportunities, and presenting recommendations to the sales and product leadership teams
  • Work effectively with cross-functional teams globally, driving results in the form of data insights and building strategic partnerships
  • Design and execute experiments (e.g., A/B testing, multi-armed bandit)
  • Conceptualize, build, manage and maintain centralized tools (including dashboards) that the business and Analytics teams can use to extract data insights for daily business management in an automated manner
Minimum Qualifications:

Want more jobs like this?

Get Data and Analytics jobs in New York, NY delivered to your inbox every week.

By signing up, you agree to our Terms of Service & Privacy Policy.

  • Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent practical experience
  • 8+ years of work experience involving analytical rigor as typically seen in, but not restricted to, functions like finance, data science, strategy, business operations, etc. or industries like consulting, banking, etc. (or 6+ years work experience with Masters degree)
  • 4+ years of advanced SQL experience working with large datasets
  • Experience with data querying languages (e.g. SQL). Other skills such as scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R) are optional
  • Experience utilizing both qualitative analysis (e.g. content analysis, hypothesis testing) and quantitative analysis techniques (e.g. regression analysis and cluster analysis)
  • Experience initiating and completing analytical projects with minimal guidance
  • Experience presenting technical content to non-technical audiences and leadership
Preferred Qualifications:
  • Graduate degree in in Mathematics, Statistics, a relevant technical field, or equivalent practical experience
  • Experience doing statistical analysis (e.g. regression, probability) using tools such as Python, R, MATLAB, SPSS, SAS, Stata, etc.
  • Experience with digital advertising or ads monetization
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 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. 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.

$126,000/year to $178,000/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.

Client-provided location(s): New York, NY, USA
Job ID: a1KDp00000E26XNMAZ_1002
Employment Type: Other

Perks and Benefits

  • Health and Wellness

    • Health Insurance
    • Health Reimbursement Account
    • Dental Insurance
    • Vision Insurance
    • Life Insurance
    • Short-Term Disability
    • Long-Term Disability
    • FSA
    • FSA With Employer Contribution
    • HSA
    • HSA With Employer Contribution
    • Fitness Subsidies
    • On-Site Gym
    • Mental Health Benefits
  • Parental Benefits

    • Birth Parent or Maternity Leave
    • Non-Birth Parent or Paternity Leave
    • Fertility Benefits
    • Adoption Assistance Program
    • Family Support Resources
  • Work Flexibility

    • Flexible Work Hours
    • Remote Work Opportunities
    • Hybrid Work Opportunities
  • Office Life and Perks

    • Commuter Benefits Program
    • Casual Dress
    • Happy Hours
    • Snacks
    • Some Meals Provided
    • Company Outings
    • On-Site Cafeteria
    • Holiday Events
  • Vacation and Time Off

    • Paid Vacation
    • Unlimited Paid Time Off
    • Paid Holidays
    • Personal/Sick Days
    • Sabbatical
    • Leave of Absence
  • Financial and Retirement

    • 401(K)
    • 401(K) With Company Matching
    • Pension
    • Company Equity
    • Performance Bonus
    • Relocation Assistance
    • Financial Counseling
  • Professional Development

    • Learning and Development Stipend
    • Promote From Within
    • Mentor Program
    • Shadowing Opportunities
    • Access to Online Courses
    • Lunch and Learns
    • Internship Program
  • Diversity and Inclusion

    • Diversity, Equity, and Inclusion Program
    • Employee Resource Groups (ERG)
    • Founder led

Company Videos

Hear directly from employees about what it is like to work at Meta.