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Facebook Data Analyst Jobs (NOW HIRING)

... Facebook, Twitter, YouTube and Instagram. Position Summary: We have an exciting opportunity to join ... Provide data insights and suggestions to solve complex HR and business problems by formulating ...

Follow @abbvie on LinkedIn, Facebook, Instagram, X and YouTube. Purpose Acts as the primary ... The Business Data Analyst serves as the autonomous owner of these applications, responsible for ...

Analyze marketing performance across Google Ads, Facebook/Meta, LinkedIn, and GA4 . * Collaborate with Data Engineering to support data pipelines, model deployment, and reporting. * Optimize campaign ...

Follow @abbvie on LinkedIn, Facebook, Instagram, X and YouTube. Purpose Acts as the primary ... The Business Systems Analyst serves as the autonomous owner of these applications, responsible for ...

... makers; provide data analysis, interpretation, and consultation to maximize the use of ... For more information, visit PIHHealth.org or follow us on Facebook, Twitter, or Instagram. Required ...

... makers; provide data analysis, interpretation, and consultation to maximize the use of ... For more information, visit PIHHealth.org or follow us on Facebook, Twitter, or Instagram. Required ...

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Facebook Data Analyst information

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$34K

$82.6K

$136K

How much do facebook data analyst jobs pay per year?

As of Jul 18, 2026, the average yearly pay for facebook data analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

How much do Facebook data analysts make?

Facebook data analysts typically earn between $70,000 and $120,000 annually, depending on experience, location, and skill level. Entry-level analysts may start at lower salaries, while experienced professionals with advanced skills in SQL, Python, or data visualization tools can earn higher compensation.

Will AI replace a data analyst?

AI can automate routine data processing and basic analysis tasks, but a Facebook Data Analyst's role involves interpreting complex data, providing insights, and making strategic recommendations that require human judgment. Therefore, AI is more likely to augment rather than fully replace data analysts, who also need skills in data visualization, critical thinking, and communication. Continuous learning and proficiency with tools like SQL, Excel, and data visualization software remain important for the role.

What does a typical day look like for a Facebook Data Analyst?

A typical day for a Facebook Data Analyst involves extracting and analyzing large datasets, developing reports and dashboards, and working closely with product managers, engineers, and marketers to provide actionable insights. You may spend time designing and conducting A/B tests, identifying key performance metrics, and troubleshooting data quality issues. Collaboration is central to the role, as you’ll often participate in team meetings and strategy sessions to align data insights with business objectives. The environment is fast-paced and dynamic, making flexibility and adaptability valuable assets for success.

Is remote jobs on Facebook legit?

Remote data analyst positions at Facebook are legitimate opportunities offered by a major technology company. These roles typically require skills in data analysis, familiarity with tools like Excel or SQL, and often involve remote work arrangements with standard employment practices. Candidates should verify job postings directly on Facebook's official careers page to avoid scams.

What does a data analyst do at Facebook?

A Facebook data analyst collects, processes, and analyzes large datasets to identify trends, measure performance, and support decision-making. They use tools like SQL, Excel, and data visualization software to generate reports and insights that help improve platform features and user experience.

What are the key skills and qualifications needed to thrive in the Facebook Data Analyst position, and why are they important?

To thrive as a Facebook Data Analyst, you need strong analytical skills, proficiency in statistics, and a solid foundation in data-driven decision making, often supported by a degree in a quantitative field. Expertise with tools such as SQL, Python/R, Excel, and data visualization platforms like Tableau or Power BI, as well as familiarity with Facebook’s own analytics systems, is highly valued. Effective communication, collaboration, and problem-solving skills help you interpret data insights and relay actionable recommendations to cross-functional teams. These abilities ensure the analyst can effectively drive business impact and optimize Facebook’s products and strategies.

What is a Facebook Data Analyst job?

A Facebook Data Analyst is responsible for collecting, analyzing, and interpreting data related to user engagement, ad performance, and platform trends. They use statistical methods and data visualization tools to provide insights that help improve decision-making across different teams. Their work supports business growth by optimizing marketing strategies, improving user experience, and ensuring data-driven decision-making. Strong analytical skills, proficiency in SQL, Python, or R, and experience with data visualization tools like Tableau are often required for this role.

More about Facebook Data Analyst jobs
What cities are hiring for Facebook Data Analyst jobs? Cities with the most Facebook Data Analyst job openings:
What are the most commonly searched types of Facebook Data Analyst jobs? The most popular types of Facebook Data Analyst jobs are:
What states have the most Facebook Data Analyst jobs? States with the most job openings for Facebook Data Analyst jobs include:
Infographic showing various Facebook Data Analyst job openings in the United States as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 86% Full Time, 6% Part Time, 1% Temporary, and 5% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.
Predictive Analytics Analyst

Predictive Analytics Analyst

NYULMC

New York, NY • On-site

Full-time

Medical, Retirement

Re-posted 4 days ago


NYU Langone Health rating

8.5

Company rating: 8.5 out of 10

Based on 247 frontline employees who took The Breakroom Quiz

15th of 886 rated healthcare providers


Job description


NYU Langone Health is a fully integrated health system that consistently achieves the best patient outcomes through a rigorous focus on quality that has resulted in some of the lowest mortality rates in the nation. Vizient Inc. has ranked NYU Langone the No. 1 comprehensive academic medical center in the country for three years in a row, and U.S. News & World Report recently placed nine of its clinical specialties among the top five in the nation. NYU Langone offers a comprehensive range of medical services with one high standard of care across 6 inpatient locations, its Perlmutter Cancer Center, and over 320 outpatient locations in the New York area and Florida. With $14.2 billion in revenue this year, the system also includes two tuition-free medical schools, in Manhattan and on Long Island, and a vast research enterprise with over $1 billion in active awards from the National Institutes of Health.
For more information, go to NYU Langone Health, and interact with us on LinkedIn, Glassdoor, Indeed, Facebook, Twitter, YouTube and Instagram.
Position Summary:
We have an exciting opportunity to join our team as a Predictive Analytics Analyst.
In this role, the successful candidate is responsible for leveraging advanced statistical and machine learning techniques to generate actionable insights from HR and business data. This role designs and develops predictive models (e.g., for performance, turnover, and hiring outcomes), automates data integration between spreadsheets and HR systems, and builds robust data pipelines to ensure timely, accurate reporting. Partnering closely with HR and cross-functional teams, the analyst translates complex analyses into clear, practical recommendations that support workforce planning, talent strategies, and organizational performance. The position requires strong technical skills in Python/R and relational databases, a solid grounding in statistics and data science, and the ability to communicate insights effectively to non-technical stakeholders while driving continuous improvement in People Analytics methodologies and practices.
Job Responsibilities:
  • Lead or contribute to cross-functional People Analytics projects, overseeing data pipelines, predictive modeling, and stakeholder engagement.
  • Perform advanced statistical analyses (e.g., tests, non-parametric tests, multivariate analysis, winsorization) to evaluate salary band positioning, tenure, performance trends, turnover analysis, and pay equity.
  • Augment analytical report outputs with fact-based examples, observations, and recommendations that guide informed decision-making.
  • Keep up to date with new academic and industry developments in data analytics, machine learning, data science, people analytics, and HR technology, and incorporate relevant methods into practice to continuously improve analytical methods and predictive modeling approaches.
  • Provide data insights and suggestions to solve complex HR and business problems by formulating, developing, and interpreting statistical and machine learning models.
  • Derive actionable insights from structured and unstructured HR data (e.g., HRIS, ATS, performance, engagement, compensation, etc.).
  • Communicate analytical results clearly and succinctly through presentations, dashboards, and written narratives tailored to non-technical stakeholders.
  • Work closely with HR and business leaders to make value-added analytical services available to internal customers.
  • Be creative, collaborative and a self-starter, proactively identifying opportunities to use analytics to improve HR and business outcomes.

Minimum Qualifications:
To qualify you must have a Bachelor's Degree is required. Strong preference in Statistics, Mathematics, Computer Science, Data Science, Economics, industrial/systems engineering, information management, epidemiology, or other related quantitative skills. 3 or more years of experience in predictive modeling and data mining using large and complex datasets; experience in People Analytics / HR analytics strongly preferred (experience in other analytics-heavy domains such as insurance, financial services, or retail is also valuable). Hands-on experience with Python, R, SQL, cloud platforms, and machine learning. Hands-on experience building predictive models (e.g., linear and logistic regression, GLM, decision trees, cluster analysis, principal components, feature creation and validation) using Python and/or R. Experience leading or contributing to cross-functional analytics projects, coordinating data pipelines, modeling workstreams, and stakeholder communication. Data visualization and dashboarding (e.g., Power BI, Tableau, or similar). Strong written and verbal communication skills for explaining complex analyses to non-technical stakeholders.
Qualified candidates must be able to effectively communicate with all levels of the organization.
NYU Langone Health provides its staff with far more than just a place to work. Rather, we are an institution you can be proud of, an institution where you'll feel good about devoting your time and your talents.
At NYU Langone Health, we are committed to supporting our workforce and their loved ones with a comprehensive benefits and wellness package. Our offerings provide a robust support system for any stage of life, whether it's developing your career, starting a family, or saving for retirement. The support employees receive goes beyond a standard benefit offering, where employees have access to financial security benefits, a generous time-off program and employee resources groups for peer support. Additionally, all employees have access to our holistic employee wellness program, which focuses on seven key areas of well-being: physical, mental, nutritional, sleep, social, financial, and preventive care. The benefits and wellness package is designed to allow you to focus on what truly matters. Join us and experience the extensive resources and services designed to enhance your overall quality of life for you and your family.
NYU Langone Health provides a salary range to comply with the New York State Pay Transparency Law. The salary range for the role is $110,000.00 - $130,000.00 annually. Actual salaries depend on a variety of factors, including experience, specialty, education, and hospital need. The salary range or contractual rate listed does not include bonuses/incentive, differential pay, or other forms of compensation or benefits.
NYU Langone Health is an equal opportunity employer and committed to inclusion in all aspects of recruiting and employment. All qualified individuals are encouraged to apply and will receive consideration. We require applications to be completed online.
View Know Your Rights: Workplace discrimination is illegal.

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