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Predictive Analytics Analyst Jobs (NOW HIRING)

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 ...

The Predictive Analytics Consultant will be a key member of the analytics team, responsible for leading the design and delivery of critical solutions like Automated Underwriting, Risk Scoring, and ...

... predictive modeling. Key Responsibilities * Collect, clean, analyze, and interpret data from ... multiple sources. * Use Python, R, SQL , and visualization tools to identify trends, patterns, and ...

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Predictive Analytics Analyst information

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$30K

$104.5K

$173K

How much do predictive analytics analyst jobs pay per year?

As of Jun 11, 2026, the average yearly pay for predictive analytics analyst in the United States is $104,452.00, according to ZipRecruiter salary data. Most workers in this role earn between $74,000.00 and $129,500.00 per year, depending on experience, location, and employer.

What does a Predictive Analytics Analyst do?

A Predictive Analytics Analyst uses data, statistical algorithms, and machine learning techniques to identify the likelihood of future outcomes based on historical data. Their primary role is to analyze large datasets, build predictive models, and provide actionable insights to help organizations make informed decisions. These analysts often work closely with business stakeholders to understand objectives, interpret results, and recommend strategies to optimize performance. They play a critical role in industries such as finance, healthcare, marketing, and retail.

Is AI replacing data analysts?

Predictive Analytics Analysts use AI tools and machine learning algorithms to analyze data and generate insights. While AI automates certain tasks like data processing and pattern recognition, human expertise remains essential for interpreting results, making strategic decisions, and developing models. AI complements rather than replaces data analysts, who need skills in statistics, programming, and domain knowledge to effectively leverage these technologies.

How does a Predictive Analytics Analyst typically collaborate with other departments to implement data-driven solutions?

Predictive Analytics Analysts often work closely with departments like marketing, finance, and operations to understand their data needs and business objectives. They translate complex data findings into actionable insights, presenting their models and recommendations to both technical and non-technical stakeholders. Collaboration frequently involves cross-functional meetings, sharing dashboards, and iterative feedback to ensure predictive models align with company goals and are feasible for implementation. This collaborative approach not only enhances the impact of analytics but also helps analysts to deepen their business acumen.

What are the key skills and qualifications needed to thrive as a Predictive Analytics Analyst, and why are they important?

To excel as a Predictive Analytics Analyst, you need a solid background in statistics, data analysis, and quantitative modeling, often supported by a degree in mathematics, statistics, computer science, or a related field. Familiarity with tools like Python, R, SQL, and machine learning platforms, as well as certifications in data analytics or related technologies, is highly valuable. Critical thinking, problem-solving, and the ability to communicate complex insights to non-technical stakeholders are standout soft skills. These competencies enable analysts to derive actionable business insights, drive strategic decisions, and maximize the value of data-driven initiatives.

What is the difference between Predictive Analytics Analyst vs Data Analyst?

AspectPredictive Analytics AnalystData Analyst
Required SkillsStatistical modeling, machine learning, programming (Python, R)Data visualization, SQL, basic statistics
Work EnvironmentData science teams, analytics departmentsBusiness units, reporting teams
Industry UsageFinance, marketing, healthcare, techRetail, finance, healthcare, government

Predictive Analytics Analysts focus on building models to forecast future trends using advanced statistical techniques, while Data Analysts primarily interpret existing data to generate reports and insights. Both roles require strong analytical skills, but Predictive Analytics Analysts typically have more experience with machine learning and programming. Understanding these differences helps organizations assign the right talent for data-driven decision-making.

Is predictive analytics a good career?

Predictive analytics is a growing field within data analysis that involves using statistical models and machine learning techniques to forecast future trends. It offers strong job prospects, competitive salaries, and opportunities across various industries, often requiring skills in programming, statistics, and data visualization tools. Continuous learning and certification can enhance career advancement in this field.

Is 40 too late for data science?

A Predictive Analytics Analyst can start a career in data science at age 40, as many skills such as programming, statistics, and data visualization can be learned at any age. Experience in related fields and continuous learning through online courses or certifications can facilitate entry into the field regardless of age.

What does a predictive analyst do?

A predictive analytics analyst uses statistical models, machine learning algorithms, and data analysis tools to forecast future trends and behaviors based on historical data. They interpret data insights to support decision-making and often work with software like Python, R, or SAS. Strong analytical skills and knowledge of data visualization are essential in this role.
More about Predictive Analytics Analyst jobs
Infographic showing various Predictive Analytics Analyst job openings in the United States as of June 2026, with employment types broken down into 74% Full Time, 13% Part Time, and 13% Contract. Highlights an 81% Physical, 8% Hybrid, and 11% Remote job distribution, with an average salary of $104,452 per year, or $50.2 per hour.
Predictive Analytics Analyst

Predictive Analytics Analyst

NYULMC

New York, NY • On-site

Full-time

Medical, Retirement

Posted 28 days ago


NYU Langone Health rating

8.6

Company rating: 8.6 out of 10

Based on 246 frontline employees who took The Breakroom Quiz

11th of 870 rated healthcare providers


Job description

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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