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Manager Predictive Analytics Jobs (NOW HIRING)

Data Scientist - Predictive Analytics

OR · On-site +1

$108.80K - $181.30K/yr

You will work closely with crossfunctional partners in operations, workforce management, and ... Analyze large, complex datasets to improve forecasting accuracy and operational planning * Develop ...

Data Scientist - Predictive Analytics

Columbus, OH · On-site +1

$108.80K - $181.30K/yr

You will work closely with crossfunctional partners in operations, workforce management, and ... Analyze large, complex datasets to improve forecasting accuracy and operational planning * Develop ...

Data Scientist - Predictive Analytics

OR · On-site +1

$108.80K - $181.30K/yr

You will work closely with crossfunctional partners in operations, workforce management, and ... Analyze large, complex datasets to improve forecasting accuracy and operational planning * Develop ...

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Manager Predictive Analytics information

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$64.5K

$125.3K

$179K

How much do manager predictive analytics jobs pay per year?

As of May 29, 2026, the average yearly pay for manager predictive analytics in the United States is $125,326.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,000.00 and $149,000.00 per year, depending on experience, location, and employer.

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

To thrive as a Manager Predictive Analytics, you need a strong background in statistics, data analysis, and predictive modeling, often supported by a degree in mathematics, statistics, computer science, or a related field. Expertise with analytics tools such as Python, R, SQL, and familiarity with machine learning platforms, as well as relevant certifications like SAS or AWS Certified Machine Learning, is typically expected. Outstanding leadership, communication, and problem-solving skills help in leading teams and translating complex insights for stakeholders. These abilities ensure data-driven decision-making, effective project management, and impactful business outcomes.

What are the main challenges faced by a Manager of Predictive Analytics, and how can they be addressed?

A Manager of Predictive Analytics often encounters challenges such as ensuring data quality, bridging communication gaps between technical teams and business stakeholders, and keeping up with rapidly evolving analytical tools and techniques. Addressing these challenges requires fostering strong cross-functional collaboration, implementing robust data governance practices, and encouraging continuous learning among team members. Additionally, setting clear project objectives and maintaining alignment with business goals can help deliver actionable insights and maximize the impact of predictive analytics initiatives.

What are Manager Predictive Analytics?

A Manager Predictive Analytics is a professional responsible for overseeing teams and projects that use statistical techniques, machine learning, and data analysis to forecast future trends and support business decision-making. They manage the development and implementation of predictive models, ensuring data quality and actionable insights for their organization. In addition to technical expertise, they coordinate with stakeholders to align analytics initiatives with business goals and often mentor data analysts or data scientists within their team.

What is the difference between Manager Predictive Analytics vs Data Scientist?

AspectManager Predictive AnalyticsData Scientist
Required CredentialsBachelor's or Master's in Analytics, Statistics, or related field; often managerial certificationsBachelor's or Master's in Data Science, Statistics, or related field; sometimes PhDs
Work EnvironmentLeads teams, manages projects, collaborates with business unitsDevelops models, analyzes data, experiments with algorithms
Employer & Industry UsageBusiness, finance, marketing, healthcare organizationsTech companies, research institutions, finance, healthcare

While both roles focus on data analysis, the Manager Predictive Analytics oversees teams and strategic projects, whereas Data Scientists primarily develop models and conduct in-depth data analysis. The manager role emphasizes leadership and project management, often requiring experience in analytics tools and business acumen, while Data Scientists focus on technical expertise in algorithms and programming.

More about Manager Predictive Analytics jobs
What cities are hiring for Manager Predictive Analytics jobs? Cities with the most Manager Predictive Analytics job openings:
What are the most commonly searched types of Predictive Analytics jobs? The most popular types of Predictive Analytics jobs are:
What states have the most Manager Predictive Analytics jobs? States with the most job openings for Manager Predictive Analytics jobs include:
Infographic showing various Manager Predictive Analytics job openings in the United States as of May 2026, with employment types broken down into 10% Full Time, 89% Part Time, and 1% Nights. Highlights an 84% Physical, and 16% Remote job distribution, with an average salary of $125,326 per year, or $60.3 per hour.
Data Scientist - Predictive Analytics

Data Scientist - Predictive Analytics

McKesson

On-site, Remote

$108.80K - $181.30K/yr

Full-time

Posted 15 days ago


McKesson rating

7.8

Company rating: 7.8 out of 10

Based on 199 frontline employees who took The Breakroom Quiz

39th of 70 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 aData Scientistto supportforecasting and demand planning initiatives, includingvolume and contact center forecasting. This role focuses on developing and enhancing statistical and predictive models to improve forecasting accuracy, workforce planning, and operational decisionmaking.

You will work closely with crossfunctional 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 improveforecasting accuracy and operational planning

  • Develop, maintain, and enhancestatistical and predictive modelsfor volume and contact center forecasting

  • Applytimeseries forecasting, predictive modeling, and scenario planningtechniques to anticipate demand

  • Partner with stakeholders to identify opportunities to improve productivity, performance, and customer experience

  • Create and presentclear data visualizations and insightsfor technical and nontechnical 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 inData Science, Statistics, Mathematics, Computer Science, Engineering, or equivalent experience

  • 4+ years of experienceapplying advanced analytics to solve business problems

Critical Skills & Experience

  • Strong experience (4+ years) withforecasting and statistical modeling, includingtimeseries analysis

  • Proficiency(4+ years)inPython (required)and experience withR

  • Advanced(4+ years)SQL and experience working with large datasets

  • Handson experience(4+ years)withdata modeling, statistics, and applied mathematics

  • 4+years' ExperienceusingDatabricks, Snowflake, or similar cloudbased data platforms

  • Ability to analyze trends, mine complex transactional data, and troubleshoot analytical issues

  • Experience creatinganalyticsdriven visualizationsand presenting insights clearly

  • Comfortable working with moderate autonomy in a collaborative, crossfunctional environment

Preferred / NicetoHave

  • Experience withcontact center analytics, workforce management, or operational forecasting

  • Background inhealthcare, pharmaceutical, biopharma, or insuranceenvironments

  • Exposure to advanced techniques such asmachine learning, regression, segmentation, NLP, or decision trees

  • Familiarity withAzure, automation, version control, or model deployment workflows

  • Strong communication, presentation, and stakeholdermanagement 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, pleaseclick 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.

Join us at McKesson!


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