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Analytics Program Manager

Meta

Analytics Program Manager

Meta

Austin, TX

·

On-site

·

Full-time

·

1mo ago

Compensation

$150,000 - $150,000

Benefits & Perks

Competitive salary and equity package

Comprehensive health, dental, and vision insurance

Parental leave

Generous paid time off and holidays

Professional development budget

Flexible work arrangements

Equity

Healthcare

Parental Leave

Learning

Flexible Hours

Required Skills

TypeScript

JavaScript

Python

Join our Analytics Program Management team, where we are committed to driving innovation and success in data-driven solutions across various functions. Our team is function-agnostic, focusing on bringing together cross-functional groups with shared analytics goals and challenges. We specialize in rapidly delivering scalable and robust proof of concept solutions, advocating for consistent data frameworks, and grounding our strategies in a single source of truth.As a key catalyst for complex, cross-functional projects programs, our team streamlines delivery and execution, enhancing analytics maturity throughout the planning and delivery process. We champion scalable data frameworks and collaborate closely with cross-functional partners. You will play a crucial role in accelerating the execution of company priorities through strategic, data-driven initiatives. Join us in defining and driving the strategy to transform analytics practices and achieve organizational outcomes.

Analytics Program Manager Responsibilities:

  • Strategically lead and optimize complex, cross-functional analytics programs from inception to delivery, accelerating company priorities through data-driven initiatives
  • Champion scalable data frameworks and a single source of truth, ensuring consistent data utilization, efficient integration, and robust data governance to empower data-driven decision-making
  • Build robust partnerships with cross-functional leaders in Product Management, Operations, Data Science, Data Engineering, and Software Engineering, aligning on shared analytics goals and driving successful program outcomes that directly impact business results
  • Translate complex data insights into actionable strategic recommendations for executive leadership and stakeholders, influencing critical business decisions and driving continuous process improvement and innovation
  • Drive the end-to-end execution of multiple high-impact analytics programs, meticulously managing planning, scoping, stakeholder coordination, milestone definition, timeline adherence, and transparent reporting to all relevant parties
  • Proactively identify and bridge process gaps, operationalizing strategic initiatives to enhance efficiency and unlock new opportunities through advanced analytics
  • Establish and meticulously track key performance indicators (KPMs) and metrics to comprehensively measure the effectiveness and impact of analytics initiatives, providing regular, insightful reports to stakeholders
  • Cultivate a growth-oriented environment within the team, providing in depth subject matter guidance and mentorship on scalable best practices in analytics program management
  • Balance competing priorities and expertly manage stakeholder expectations, ensuring clear communication and alignment to consistently achieve successful program outcomes

Minimum Qualifications:

  • B.A or B.S. degree with a quantitative focus in Economics, Computer Science, Information Systems, Math, Statistics, or a similar technical field
  • 7+ years of Industry experience in a consumer-oriented product environment, consulting, analytics, operations, or project management role
  • Functional use of SQL to analyze and interpret complex data sets and generate reports for analytical decision-making
  • Experience with excel including pivot tables, forecasting, and formulas
  • Experience working in time sensitive and cross-functional environments
  • Experience developing product roadmaps and managing backlogs
  • Proficient in data-driven decision making and problem solving skills
  • Experience identifying process gaps and operationalizing strategies

Preferred Qualifications:

  • Master's degree in Integrated Manufacturing Systems Engineering, Engineering Management, Information Technology Management, Computer Science, Engineering, Applied Sciences, or related field and 7+ years of experience in the job offered or in a computer-related occupation
  • Experience developing, implementing, and managing comprehensive strategies to advance analytics maturity and drive data-driven decision making
  • Experience advocating for and promoting scalable data frameworks that enable efficient integration and utilization of data across various teams and programs
  • Experience building partnerships with cross-functional stakeholders (e.g. product and engineering) to establish shared goals and support foundational analytics maturity
  • Demonstrated track record to convey complex ideas, progress updates, challenges, and achievements to both technical and non-technical audiences, including executive leadership and key stakeholders
  • Certification in program management, such as Project Management Professional or Agile/Scrum

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.

$150,000/year to $213,000/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

Meta

Public

A 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%

Recommend to a Friend

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 · Data Scientist

3,113 reports

$284,667

total / year

Base

$179,458

Stock

$79,981

Bonus

$25,228

$193,897

$434,902

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