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Manager Predictive Analytics Jobs (NOW HIRING)

Ra

Customer Analytics Senior Manager

San Diego, CA · On-site

Who holds 3-5+ years of experience Customer Analytics delivery Who holds 3+ years of experience in CRM Modeling, Reporting, Analytics who is experienced in predictive analytics tools Qualifications ...

Ra

Customer Analytics Senior Manager

Denver, CO · On-site

Who holds 3-5+ years of experience Customer Analytics delivery Who holds 3+ years of experience in CRM Modeling, Reporting, Analytics who is experienced in predictive analytics tools Qualifications ...

Ra

Customer Analytics Senior Manager

Hartford, CT · On-site

Who holds 3-5+ years of experience Customer Analytics delivery Who holds 3+ years of experience in CRM Modeling, Reporting, Analytics who is experienced in predictive analytics tools Qualifications ...

Ra

Customer Analytics Senior Manager

Kansas City, KS · On-site

Who holds 3-5+ years of experience Customer Analytics delivery Who holds 3+ years of experience in CRM Modeling, Reporting, Analytics who is experienced in predictive analytics tools Qualifications ...

Ra

Customer Analytics Senior Manager

Los Angeles, CA · On-site

Who holds 3-5+ years of experience Customer Analytics delivery Who holds 3+ years of experience in CRM Modeling, Reporting, Analytics who is experienced in predictive analytics tools Qualifications ...

Ra

Customer Analytics Senior Manager

Tampa, FL · On-site

Who holds 3-5+ years of experience Customer Analytics delivery Who holds 3+ years of experience in CRM Modeling, Reporting, Analytics who is experienced in predictive analytics tools Qualifications ...

Ra

Customer Analytics Senior Manager

Atlanta, GA

Who holds 3-5+ years of experience Customer Analytics delivery Who holds 3+ years of experience in CRM Modeling, Reporting, Analytics who is experienced in predictive analytics tools Qualifications ...

Ra

Customer Analytics Senior Manager

Sacramento, CA

Who holds 3-5+ years of experience Customer Analytics delivery Who holds 3+ years of experience in CRM Modeling, Reporting, Analytics who is experienced in predictive analytics tools Qualifications ...

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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:
What job categories do people searching Manager Predictive Analytics jobs look for? The top searched job categories for Manager Predictive Analytics jobs are:
Manager Predictive Analytics jobs near you
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.

Logistics Planning & Analytics Manager

Hisense

Alpharetta, GA • On-site

Full-time

Posted 21 days ago

Job description

Overview:

The Logistics Planning & Analytics Manager is a data-driven leader responsible for forecasting, modeling, and reporting logistics and warehouse operations. This role drives decision-making through KPI management, predictive analytics, and performance reporting, ensuring operational efficiency, cost control, and continuous improvement. The ideal candidate combines deep analytical skills with practical logistics experience to transform data into actionable insights and executive-level presentations.


Responsibilities:

Logistics Forecasting & Modeling

  • Build, maintain, and continuously improve logistics and warehouse forecasting models for capacity, inventory flow, and seasonal demand
  • Develop predictive analytics to identify trends, risks, and opportunities for cost savings and operational efficiency
  • Support strategic planning initiatives by providing data-driven recommendations


KPI Management & Data Analytics

  • Own core warehouse and logistics KPIs, including:
    • Logistics Expense Rate
    • Inventory Accuracy
    • Damage Rate
    • Warehouse Utilization Rate
  • Collect, validate, and analyze KPI data from multiple systems (WMS, ERP, 3PL data)
  • Identify gaps, trends, and anomalies in operational performance


Reporting & Presentations

  • Create clear, actionable, and visually compelling dashboards and reports using Power BI and Advanced Excel
  • Prepare executive-level presentations and operational summaries for leadership review
  • Translate complex data into insights that drive decisions on space utilization, cost reduction, and service improvements


Process Improvement & Collaboration

  • Partner with warehouse operations, finance, and 3PL providers to implement improvements informed by data insights
  • Recommend and support system enhancements, automation, and best practices
  • Lead initiatives to reduce logistics costs, improve inventory accuracy, and optimize warehouse space


Skills & Qualifications:

Technical Skills:

  • Advanced proficiency in Excel (pivot tables, Power Query, complex formulas)
  • Strong experience with Power BI or similar data visualization tools
  • Data analytics and statistical modeling experience
  • Experience with WMS/ERP systems
  • Forecasting, scenario modeling, and KPI analysis


Professional Skills:

  • Strong analytical and problem-solving capabilities
  • Ability to synthesize complex data into executive-level insights and presentations
  • Detail-oriented with a focus on accuracy and actionable insights
  • Effective collaboration and communication across cross-functional teams


Experience:

  • 7+ years in logistics, warehouse operations, or supply chain analytics
  • Proven track record in logistics forecasting, KPI management, and reporting
  • Experience working with3PL providers preferred


Key Success Metrics:

  • Accurate and actionable logistics forecasting
  • Improved KPI performance: lower expense rate, higher inventory accuracy, reduced damage, better warehouse utilization
  • High-quality dashboards and presentations that inform leadership decisions
  • Continuous improvement initiatives implemented and measured



Hisense USA is an equal opportunity employer and does not discriminate against any employee or applicant for employment because of race, color, religion, sex, national origin, age, disability, or genetic information. We comply with all applicable laws regarding equal employment opportunity and affirmatively seek to recruit, develop, and promote qualified individuals from diverse backgrounds. Our company is committed to providing a work environment that is free from discrimination, harassment, and retaliation. We encourage applicants of all ages, races, ethnicities, religions, genders, sexual orientations, and abilities to apply for employment with our company.

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