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Predictive Analytics Analyst Jobs (NOW HIRING)

McKesson

Data Scientist - Predictive Analytics

Columbus, OH · On-site +1

$108K - $181K/yr

Analyze large, complex datasets to improve forecasting accuracy and operational planning * Develop, maintain, and enhance statistical and predictive models for volume and contact center forecasting

Calance US

Senior Talent Analytics Analyst

Plano, TX · Hybrid

$50/hr

Conduct simple to complex trending, statistical and predictive analysis to help drive HR department & business workforce objectives and inform talent decisions Participate in and bring advanced ...

Inova

Sr. HR Analytics Analyst

Fairfax, VA · On-site +1

$90K - $119K/yr

Runs advanced and predictive analyses and performs model assessments, validation, and enhancement activities using predictive software tools and functionalities. * Prepares and coordinates the ...

Procore

Staff People Analytics Analyst

Austin, TX

$61K - $81K/yr

Use your expertise in predictive modeling, statistical analysis, and data storytelling to influence strategic decisions and enhance the employee experience. If you're passionate about turning data ...

Procore

Staff People Analytics Analyst

Austin, TX · On-site

$61K - $81K/yr

Use your expertise in predictive modeling, statistical analysis, and data storytelling to influence strategic decisions and enhance the employee experience. If you're passionate about turning data ...

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Predictive Analytics Analyst information

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$104.5K

$173K

How much do predictive analytics analyst jobs pay per year?

As of Jul 8, 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.

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 it worth being a data analyst in 2026?

Predictive Analytics Analysts are expected to remain in demand in 2026 due to the growing reliance on data-driven decision-making across industries. Skills in statistical analysis, machine learning, and tools like Python or R will continue to be valuable, making the role a viable career choice for the foreseeable future.

Will AI replace a data analyst?

AI tools can automate routine data processing and basic analysis tasks, but Predictive Analytics Analysts play a crucial role in interpreting complex data, developing models, and providing strategic insights. Human expertise is essential for understanding context, making judgments, and communicating findings effectively. Therefore, AI is more likely to augment rather than fully replace data analysts in the foreseeable future.

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 also facilitate entry into the field regardless of age.

What does a predictive analyst do?

A predictive analytics analyst uses statistical models, data mining, and machine learning techniques to analyze historical data and forecast future trends or behaviors. They often work with tools like Python, R, or SQL and interpret data to support decision-making and strategic planning within organizations.
More about Predictive Analytics Analyst jobs
What job categories do people searching Predictive Analytics Analyst jobs look for? The top searched job categories for Predictive Analytics Analyst jobs are:
Predictive Analytics Analyst jobs near you
Infographic showing various Predictive Analytics Analyst job openings in the United States as of July 2026, with employment types broken down into 97% Full Time, and 3% Contract. Highlights an 82% In-person, 3% Hybrid, and 15% Remote job distribution, with an average salary of $104,452 per year, or $50.2 per hour.
Data Scientist - Predictive Analytics

Data Scientist - Predictive Analytics

McKesson Corporation

Columbus, OH • On-site

$108K - $181K/yr

Full-time

Re-posted 25 days ago

McKesson rating

7.9

Company rating: 7.9 out of 10

Based on 208 frontline employees who took The Breakroom Quiz

40th of 73 rated pharmaceutical

Job description

McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care.
What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you.
CoverMyMeds, part of McKesson, helps patients access the medications they need by solving complex medication access and affordability challenges. Through data, automation, and expert intervention, we support providers, pharmacies, payers, biopharma, and-most importantly-patients.
Role Overview
We are seeking a Data Scientist to support forecasting and demand planning initiatives, including volume and contact center forecasting. This role focuses on developing and enhancing statistical and predictive models to improve forecasting accuracy, workforce planning, and operational decision-making.
You will work closely with cross-functional partners in operations, workforce management, and analytics to translate complex data into clear, actionable insights that drive business outcomes.
Key Responsibilities:
  • Analyze large, complex datasets to improve forecasting accuracy and operational planning
  • Develop, maintain, and enhance statistical and predictive models for volume and contact center forecasting
  • Apply time-series forecasting, predictive modeling, and scenario planning techniques to anticipate demand
  • Partner with stakeholders to identify opportunities to improve productivity, performance, and customer experience
  • Create and present clear data visualizations and insights for technical and non-technical audiences
  • Communicate forecasting results and recommendations to internal teams and occasional external partners
  • Support optimization of staffing and workforce planning models with guidance from senior team members

Priority will be given to candidates who reside in the Columbus, OH metropolitan area
We are unable to provide sponsorship for work authorization for this role, presently or in the future.
Minimum Requirements
  • Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, or equivalent experience
  • 4+ years of experience applying advanced analytics to solve business problems

Critical Skills & Experience
  • Strong experience (4+ years) with forecasting and statistical modeling, including time-series analysis
  • Proficiency (4+ years) in Python (required) and experience with R
  • Advanced (4+ years) SQL and experience working with large datasets
  • Hands-on experience (4+ years) with data modeling, statistics, and applied mathematics
  • 4+ years' Experience using Databricks, Snowflake, or similar cloud-based data platforms
  • Ability to analyze trends, mine complex transactional data, and troubleshoot analytical issues
  • Experience creating analytics-driven visualizations and presenting insights clearly
  • Comfortable working with moderate autonomy in a collaborative, cross-functional environment

Preferred / Nice-to-Have
  • Experience with contact center analytics, workforce management, or operational forecasting
  • Background in healthcare, pharmaceutical, biopharma, or insurance environments
  • Exposure to advanced techniques such as machine learning, regression, segmentation, NLP, or decision trees
  • Familiarity with Azure, automation, version control, or model deployment workflows
  • Strong communication, presentation, and stakeholder-management skills
  • Intellectual curiosity, comfort with ambiguity, and desire to continuously learn

Additional Information
  • Must be authorized to work in the U.S. (no sponsorship available)
  • Standard office/remote work environment

CoverMyMeds and McKesson value diverse perspectives and are committed to creating an inclusive environment where everyone can thrive.
We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here.
Our Base Pay Range for this position
$108,800 - $181,300
McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson's (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind:
McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application.
McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates.
McKesson job postings are posted on our career site: careers.mckesson.com.
McKesson is an Equal Opportunity Employer
McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson's full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page.
McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to (United States) Disability_Accommodation@McKesson.com or (Canada) Accessibility@mckesson.ca. Resumes or CVs submitted to this email box will not be accepted.
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