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Predictive Analytics Analyst Jobs (NOW HIRING)

McKesson

Data Scientist - Predictive Analytics

OR · 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

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

McKesson

Data Scientist - Predictive Analytics

OR · 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

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

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

CoverMyMeds

Data Scientist - Predictive Analytics

OR · 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 ...

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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 12, 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
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 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.

Data Scientist - Predictive Analytics

JANSON

Fairfax, VA • On-site

Full-time

Posted 5 days ago

Job description

Description:

The Data Scientist-Predictive Analytics will serve as a key member of JANSON’s the evolution of Army logistics by developing, implementing, and sustaining intelligent agentic systems and predictive models. Responsible for leveraging a strong academic foundation, the candidate will utilize platforms like Palantir Foundry to transform raw supply chain data and unstructured maintenance records into actionable foresight. This leader will serve as a key point of the transition from academic theory to operational execution, bridging the gap between traditional supervised learning and modern Generative AI (GenAI) to solve complex logistics challenges in real-time.

The ideal candidate is all contractor personnel shall possess an active Secret security clearance or be eligible for and able to obtain and maintain a Secret clearance. Personnel without an active clearance may perform unclassified preparatory work while clearance processing is underway..


Key Responsibilities

  • Model Development: Assist the principal data scientist in developing and tuning predictive models (e.g., predicting equipment failure, estimating lead times, or optimizing inventory levels).
  • Data Engineering Support: Assist in data validation, feature engineering, and quality checks on large-scale Army datasets to ensure model integrity.
  • Palantir Integration: Progressively develop expert-level skills in Palantir Foundry to build, update, and reuse predictive dashboards.
  • Training & Documentation: Help develop and update training materials, job aids, and technical documentation for predictive tools to ensure institutional adoption.
  • Sustainment: Support the reuse and long-term maintenance of analytics products and sustainment artifacts.

Minimum Qualifications

  • Master’s Degree (or near completion) in Data Analytics or a related quantitative field.
  • 0–2 years of relevant experience (including significant graduate-level research, labs, teaching or internships).
  • Strong Foundational Knowledge: Deep understanding of supervised learning algorithms, statistical inference, and predictive modeling workflows.
  • Tooling: Demonstrated proficiency in Python-based data science stacks (e.g., Pandas, Scikit-learn) and SQL.
  • Documentation: High attention to detail in technical writing and version control.

Preferred Qualifications

  • Specialized Coursework: Graduate-level focus on Supply Chain Analytics, Stochastic Processes, or Predictive Modeling.
  • Platform Exposure: Prior experience with Palantir Foundry or similar enterprise data platforms.
  • Military Context: Familiarity with Army logistics data (e.g., GCSS-Army, FED LOG) or prior military/government exposure.
  • Visualization: Experience creating compelling data stories using Tableau, Power BI, or integrated platform tools.
Requirements:
  • Secret Security Clearance: Active or eligibility to obtain and maintain.
  • Technical Proficiency: Advanced academic or professional experience in Python and SQL.
  • Analytical Communication: Ability to translate complex statistical and probabilistic AI outputs into clear, actionable insights for military and civilian decision-makers.
  • Operational Agility: Willingness to travel up to 20% for in-person training and operational support.
  • Collaborative Mindset: Capable of working within multi-disciplinary teams to pair human expertise with machine intelligence.