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Manager Predictive Analytics Jobs in Texas (NOW HIRING)

Ra

Customer Analytic Manager

San Antonio, TX

Who holds 2+ years of experience Customer Analytics delivery Who holds 2+ years of experience in CRM Modeling, Reporting, Analytics who is experienced in predictive analytics tools Qualifications Who ...

Ra

Customer Analytic Manager

Houston, TX

Who holds 2+ years of experience Customer Analytics delivery Who holds 2+ years of experience in CRM Modeling, Reporting, Analytics who is experienced in predictive analytics tools Qualifications Who ...

Ra

Customer Analytic Manager

Austin, TX

Who holds 2+ years of experience Customer Analytics delivery Who holds 2+ years of experience in CRM Modeling, Reporting, Analytics who is experienced in predictive analytics tools Qualifications Who ...

Ra

Customer Analytic Manager

Dallas, TX

Who holds 2+ years of experience Customer Analytics delivery Who holds 2+ years of experience in CRM Modeling, Reporting, Analytics who is experienced in predictive analytics tools Qualifications Who ...

Ra

Customer Analytic Manager

Irving, TX

Who holds 2+ years of experience Customer Analytics delivery Who holds 2+ years of experience in CRM Modeling, Reporting, Analytics who is experienced in predictive analytics tools Qualifications Who ...

Empower Pharmacy

Manager, Data Analytics

Houston, TX · On-site

... predictive analytics capabilities, improve data quality, and support strategic decision-making ... Manage analytics resources, ensuring efficient allocation of tools and technologies. • Ensure ...

Capgemini Engineering

Database Developer

Irving, TX · On-site

The role involves maintaining and updating databases, ensuring accurate data analysis, and leveraging AI-driven techniques for predictive analytics and reporting. Responsibilities : • Management of ...

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Manager Predictive Analytics information

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.
What are the most commonly searched types of Predictive Analytics jobs in Texas? The most popular types of Predictive Analytics jobs in Texas are:
What are popular job titles related to Manager Predictive Analytics jobs in Texas? For Manager Predictive Analytics jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Manager Predictive Analytics jobs in Texas look for? The top searched job categories for Manager Predictive Analytics jobs in Texas are:
What cities in Texas are hiring for Manager Predictive Analytics jobs? Cities in Texas with the most Manager Predictive Analytics job openings:
Manager Predictive Analytics jobs near you
Senior Actuary - Pricing and Predictive Analytics

Senior Actuary - Pricing and Predictive Analytics

CRC Group

Dallas, TX • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 17 days ago

Job description

The position is described below. If you want to apply, click the Apply button at the top or bottom of this page. You'll be required to create an account or sign in to an existing one.
If you have a disability and need assistance with the application, you can request a reasonable accommodation. Send an email to Accessibility (accommodation requests only; other inquiries won't receive a response).
Regular or Temporary:
Regular
Language Fluency: English (Required)
Work Shift:
1st Shift (United States of America)
Please review the following job description:
An Actuarial Services Senior Professional (ACAS or exam progressed candidate) will support pricing and predictive modeling initiatives across our specialty programs division. This role requires deep expertise in actuarial modeling, data analytics, and insurance pricing, along with the ability to independently execute advanced statistical analyses and influence business decisions.
The ideal candidate combines strong technical acumen with sound business judgment and excels at translating complex actuarial insights into actionable recommendations. This position partners closely with underwriting, analytics, and actuarial leadership.
KEY RESPONSIBILITIES
Following is a summary of the essential functions for this job. Other duties may be performed, both major and minor, which are not mentioned below. Specific activities may change from time to time.
Pricing & Predictive Analytics
  • Drive the development and ongoing optimization of actuarial pricing models.
  • Build and implement predictive models (e.g., GLMs and other statistical learning techniques) to improve pricing sophistication.
  • Conduct rate adequacy analyses, loss cost reviews, and trend analyses to support pricing decisions.
  • Execute actuarial rate reviews and update parameters within in-house pricing models.
  • Support pricing for large and complex accounts in partnership with underwriting teams.

Portfolio Analytics & Performance Monitoring
  • Lead profitability studies and quarterly portfolio reviews, providing actionable insights and underwriting recommendations.
  • Analyze portfolio performance using diverse data sources to identify trends, cost drivers, and emerging risks.
  • Develop and maintain portfolio management tools and pricing frameworks.

Data, Tools & Innovation
  • Build and automate data pipelines, dashboards, and analytical tools to improve efficiency and accuracy.
  • Leverage large and complex datasets, including incomplete or inconsistent data, to generate insights.
  • Drive innovation in pricing methodologies, data usage, and modeling techniques.
  • Contribute to development and enhancement of actuarial tools and infrastructure.

Cross-Functional Collaboration
  • Partner with underwriting, claims, finance, IT, and operations to align pricing strategies with business objectives.
  • Support program underwriting teams across multiple lines of business.
  • Collaborate with reserving actuaries and finance teams to ensure consistency in assumptions and profitability views.
  • Contribute to product development, including pricing support for new and existing programs.

EDUCATION AND EXPERIENCE
The requirements listed below are representative of the knowledge, skill and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
Qualifications & Experience
  • ACAS or FCAS preferred; candidates with strong exam progress toward ACAS will be considered.
  • Approximately 7+ years of actuarial experience in commercial property & casualty insurance, with strong emphasis on pricing.
  • Strong experience in predictive modeling and pricing analytics.
  • Experience with segmentation, elasticity modeling, and portfolio optimization.
  • Exposure to machine learning and advanced analytics techniques is a plus.
  • Experience building end-to-end pricing or underwriting tools.
  • Experience with program business, MGAs, carriers, or reinsurance is a plus.
  • Strong knowledge of statistical modeling techniques, including GLMs and other machine learning methods.
  • Familiarity with Verisk ISO and S&P Global product suites.
  • Proficiency in Excel and actuarial analysis; experience with SQL, Python, or R is a plus.
  • Ability to clearly summarize analytical results for non-actuarial stakeholders.

General Description of Available Benefits for Eligible Employees of CRC Group: At CRC Group, we're committed to supporting every aspect of teammates' well-being - physical, emotional, financial, social, and professional. Our best-in-class benefits program is designed to care for the whole you, offering a wide range of coverage and support. Eligible full-time teammates enjoy access to medical, dental, vision, life, disability, and AD&D insurance; tax-advantaged savings accounts; and a 401(k) plan with company match. CRC Group also offers generous paid time off programs, including company holidays, vacation and sick days, new parent leave, and more. Eligible positions may also qualify for restricted stock units and/or a deferred compensation plan.
CRC Group supports a diverse workforce and is an Equal Opportunity Employer that does not discriminate against individuals on the basis of race, gender, color, religion, citizenship or national origin, age, sexual orientation, gender identity, disability, veteran status or other classification protected by law. CRC Group is a Drug Free Workplace.
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