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Manager Predictive Analytics Jobs (NOW HIRING)

McKesson

Data Scientist - Predictive Analytics

Columbus, OH · On-site +1

$108K - $181K/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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How much do manager predictive analytics jobs pay per year?

As of Jul 11, 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 is the highest paying job in data analytics?

In data analytics, senior roles such as Director of Data Science or Chief Data Officer typically have the highest salaries, often exceeding six figures annually. These positions require advanced skills in machine learning, big data tools, and leadership experience. Compensation varies by industry, location, and company size.

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 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.

Will AI replace a data analyst?

AI is transforming the role of data analysts by automating routine tasks such as data cleaning and basic analysis. However, data analysts are still essential for interpreting complex data, providing insights, and making strategic decisions that require human judgment and domain expertise. The role is evolving to include skills in AI tools and programming languages like Python or R.

What jobs use predictive analytics?

Jobs that use predictive analytics include roles such as data analysts, data scientists, business analysts, marketing analysts, financial analysts, and operations managers. These roles involve analyzing data, building models, and using tools like Python, R, or SAS to forecast trends and support decision-making across various industries.

Is 40 too old to become a data analyst?

Age is not a barrier to becoming a data analyst or progressing into roles like Manager of Predictive Analytics. Success depends on skills, experience, and continuous learning in tools such as SQL, Python, or R, regardless of age. Many professionals transition into analytics later in their careers and find opportunities based on their expertise and adaptability.

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.
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Manager Predictive Analytics jobs near you
Data Scientist - Predictive Analytics

Data Scientist - Predictive Analytics

CoverMyMeds

Columbus, OH • On-site

$108K - $181K/yr

Full-time

Re-posted 28 days ago

CoverMyMeds rating

8.0

Company rating: 8.0 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

104th of 209 rated software companies

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.
Join us at McKesson!

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