ZipRecruiter

Log In

1

Director Predictive Analytics Jobs in Colorado (NOW HIRING)

DaVita, Inc.

Director, People Analytics

Denver, CO · On-site

$115K - $183K/yr

Directors will bring a rigorous approach to all things people-related and provide inspirational ... Analytics * Strong foundation in quantitative concepts (e.g., financial, statistical, predictive ...

DaVita, Inc.

Sr. Director of Transformation

Denver, CO · On-site

$239K - $251K/yr

The Senior Director will shape the long-term vision for a portfolio of internal platforms while ... predictive analytics, and next-generation operational capabilities. * Ensure responsible AI ...

InnovAge

Director, Clinical Applications

Denver, CO · On-site +1

$159K - $215K/yr

... predictive analytics-to streamline processes, improve care quality, reduce costs, and enhance user ... with direct accountability for clinical application portfolios and functional team management

InnovAge

Director, Clinical Applications

Denver, CO

... predictive analytics-to streamline processes, improve care quality, reduce costs, and enhance user ... with direct accountability for clinical application portfolios and functional team management

InnovAge

Director, Clinical Applications

Denver, CO · On-site

$159K - $270K/yr

... predictive analytics--to streamline processes, improve care quality, reduce costs, and enhance user ... with direct accountability for clinical application portfolios and functional team management

Trimble, Inc.

Financial Analyst

Westminster, CO · On-site

$78K - $107K/yr

In this role, you will gain direct, high-profile visibility with senior FP&A, Operations, and CX ... predictive analytics from the ground up, all while utilizing cutting-edge generative AI tools to ...

Trimble

Financial Analyst

Westminster, CO

$78K - $107K/yr

In this role, you will gain direct, high-profile visibility with senior FP&A, Operations, and CX ... predictive analytics from the ground up, all while utilizing cutting-edge generative AI tools to ...

Wyyerd Group

Director, Business Intelligence

Boulder, CO · On-site

$165 - $174/hr

The Director oversees the BI team, data platforms, analytics initiatives, and executive reporting ... Lead BI transformation initiatives, including advanced analytics, AI, and predictive modeling.

next page

Showing results 1-20

All JobsPredictive Analytics JobsDirector Predictive Analytics JobsDirector Predictive Analytics Jobs in Colorado

Director Predictive Analytics information

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

To thrive as a Director of Predictive Analytics, you need advanced expertise in statistics, machine learning, and data analysis, typically supported by a degree in mathematics, statistics, computer science, or a related field. Familiarity with tools such as Python, R, SQL, cloud-based analytics platforms, and relevant certifications in data science or analytics software are highly valued. Exceptional leadership, strategic thinking, and communication skills help you translate complex data insights into actionable business strategies and manage cross-functional teams effectively. These competencies are crucial for driving data-informed decision-making and maximizing the value of predictive analytics within an organization.

What does a director of analytics do?

A director of analytics oversees data analysis teams to develop strategies that improve business performance through data-driven insights. They manage analytics projects, interpret complex data, and communicate findings to stakeholders, often using tools like SQL, Python, or Tableau. This role requires strong leadership, statistical knowledge, and experience in predictive modeling and data management.

What is the highest paying job in data analytics?

The highest paying roles in data analytics are often executive-level positions such as Chief Data Officer or Director of Predictive Analytics, which can offer salaries exceeding $150,000 annually. These roles typically require advanced skills in data modeling, leadership, and experience with tools like Python, R, or SQL, along with strategic decision-making responsibilities.

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

AspectDirector Predictive AnalyticsData Scientist
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related field; often requires leadership experienceBachelor's or Master's in Data Science, Statistics, Computer Science, or related field
Work EnvironmentLeads teams, manages projects, collaborates with executivesAnalyzes data, develops models, reports findings
Employer & Industry UsageUsed in corporate, finance, healthcare, and tech sectors for strategic decision-makingCommon across tech, finance, marketing, and research sectors for data analysis

The main difference is that the Director Predictive Analytics oversees teams and strategic projects, focusing on leadership and high-level decision-making, while Data Scientists primarily analyze data and build models to derive insights. Both roles require strong analytical skills and knowledge of data tools, but the director position emphasizes management and strategic alignment.

What skills are needed for predictive analytics?

Predictive analytics professionals need strong skills in statistical analysis, data modeling, and machine learning algorithms. Proficiency in programming languages such as Python or R, experience with data visualization tools, and knowledge of database management are also essential for success in this role.

Will AI replace big data?

As a Director of Predictive Analytics, you understand that AI enhances big data analysis by automating data processing and improving predictive models. AI tools like machine learning algorithms are used to extract insights from large datasets, but they complement rather than replace the need for big data infrastructure and skilled analysts. Both are essential for effective data-driven decision-making in organizations.

What are the typical collaboration points for a Director of Predictive Analytics within an organization?

A Director of Predictive Analytics regularly collaborates with cross-functional teams, including data engineers, data scientists, business stakeholders, and IT departments. They are responsible for translating business needs into analytical solutions, ensuring data quality, and integrating predictive models into operational systems. Strong communication is essential, as the director must bridge technical teams and business leaders to drive data-driven decision-making throughout the organization.

What does a Director of Predictive Analytics do?

A Director of Predictive Analytics leads teams that use data, statistical algorithms, and machine learning techniques to forecast future outcomes and trends for a business. They are responsible for developing and implementing predictive models that drive strategic decisions in areas such as marketing, operations, and risk management. This role often involves collaborating with executives, data scientists, and IT professionals to ensure analytics solutions align with organizational goals. Additionally, the Director oversees data quality, project management, and the adoption of analytical best practices across the company.
What are the most commonly searched types of Predictive Analytics jobs in Colorado? The most popular types of Predictive Analytics jobs in Colorado are:
What cities in Colorado are hiring for Director Predictive Analytics jobs? Cities in Colorado with the most Director Predictive Analytics job openings:
Director Predictive Analytics jobs near you
Director, Marketing Performance Analytics

Director, Marketing Performance Analytics

Vail Resorts Corporate

Broomfield, CO

$150K - $185K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 11 days ago

Vail Resorts rating

6.8

Company rating: 6.8 out of 10

Based on 157 frontline employees who took The Breakroom Quiz

16th of 51 rated entertainment

Job description

Our mission is to create the Experience of a Lifetime for our employees, so they can, in turn, create the Experience of a Lifetime for our guests. We own and operate the most renowned destination resorts in the world as well as regional and local ski areas outside major cities, and connect them all through one unrivaled network. We are looking for ambitious leaders, innovators and creators to join our talented team. If you’re ready to pursue your fullest potential, we want to get to know you!

Candidates for year-round positions are reviewed on a rolling basis. Applications will be accepted up to 90 days after the posting date, or until the position is filled (whichever is first).

Job Summary: 

The Director of Marketing Performance Analytics is responsible for leading the enterprise analytics capabilities that drive measurable improvements in marketing performance across Vail Resorts' guest journey. This leader serves as a strategic partner to Marketing, Go-to-Market, Digital Experience, CRM, Paid Media, Organic, Ecommerce, and Executive Leadership, helping the organization make smarter, faster, and more impactful marketing decisions.

The team is responsible for four core capabilities:

  • Marketing Reporting & Measurement
  • Marketing Insights & Performance Analytics
  • Advanced Analytics & Measurement Science
  • Enterprise Experimentation

This role combines strategic leadership with technical credibility—building a high-performing analytics organization while partnering across the business to identify opportunities, influence investment decisions, and accelerate growth. Success in this role requires equal strength in business strategy, marketing performance, organizational leadership, and analytical thinking.

Job Specifications:

  • Starting Wage: $150,000 - $185,000 + annual bonus + equity 

  • Employment Type: Year Round  

  • Shift Type: Full Time hours available 

  • Minimum Age: At least 18 years of age  

  • Housing Availability: No  

Job Responsibilities:

This is not a traditional reporting or business intelligence leadership role. Success will be measured by the organization's ability to improve marketing performance, accelerate learning through experimentation, and influence enterprise growth decisions. 

1. Lead the Marketing Performance Analytics organization: Build, develop and inspire a high-performing team responsible for enterprise reporting, marketing insights, experimentation, and advanced analytics while fostering a culture of curiosity, accountability, continuous learning, and business impact.

2. Serve as the strategic analytics partner to Marketing leadership: Partner closely with leaders across Paid Media, CRM, Comms,Ecommerce, Digital Experience, Mobile App, and broader Go-to-Market teams to shape strategy, identify growth opportunities, prioritize analytical work, and influence key business decisions. 

3. Elevate marketing insights beyond reporting: Guide the team in transforming data into actionable business recommendations by combining analytical rigor with deep understanding of marketing strategy, customer behavior, and commercial objectives. Lead both recurringperformance reviews and high-impact ad hoc analyses that inform executive decision making.


4. Own the enterprise marketing measurement ecosystem: Ensure scalable, trusted, and actionable reporting across all marketing channels by partnering closely with Data Engineering, Marketing Technology, and business stakeholders to continuously improve measurement capabilities, data quality, KPI governance, and reporting infrastructure. 

5. Lead enterprise experimentation: Own the vision, governance, and execution of Vail Resorts' marketing experimentation capability.Develop a long-term learning agenda that enables systematic testing across marketing channels and digital experiences while establishing best practices in hypothesis development, test design, statistical rigor, and knowledge sharing.


6. Advance analytical capabilities: Lead the application of advanced analytical methodologies—including Marketing Mix Modeling, incrementality measurement, attribution, forecasting, and predictive analytics—to improve marketing investment decisions and maximize business performance.


7. Shape the future operating model: Continuously evolve the Marketing Performance Analytics organization by improving workflows,delivery models, operating processes, talent strategy, and cross-functional collaboration to increase scalability, consistency, and organizational effectiveness.


8. Influence executive decision making: Translate complex analytical findings into clear, compelling business recommendations for senior leaders and executives, enabling confident, data-informed decisions across marketing investment, guest engagement, and growth strategy.


9. Build strong cross-functional partnerships: Develop trusted relationships across Marketing, Technology, Data Engineering, Product, Finance, and Commercial teams to ensure analytical priorities remain aligned with enterprise objectives and business needs.


10. Champion innovation in marketing analytics: Stay current on emerging trends, technologies, AI-enabled analytics, measurementmethodologies, and industry best practices, continuously identifying opportunities to modernize capabilities and improve marketing performance. 

Job Requirements:  

  • Bachelor's degree in Business, Marketing, Finance or a related degree 
  • 10+ years of progressive experience in marketing analytics, digital analytics, performance measurement, or related fields, including 5+ years leading high-performing analytics teams 
  • 5+ years leading high-performing analytics teams
  • Deep understanding of digital marketing measurement across Paid Media, CRM, Organic Search, Ecommerce, Mobile Apps,and Digital Experience.
    Strong knowledge of marketing analytics methodologies including attribution, incrementality, experimentation, Marketing Mix Modeling,forecasting, customer behavior analysis, and performance measurement. 
  • Demonstrated technical fluency with modern cloud-based data ecosystems, including experience working with data warehouses, SQL, and business intelligence platforms such as Tableau or Power BI.
  • Ability to partner effectively with Data Engineering and Marketing Technology teams to define scalable data models and analytical solutions.
  • Experience leveraging statistical methods to support experimentation, measurement, and business decision making.
  • Familiarity with modern marketing technology and digital analytics platforms such as Adobe Analytics, Google Analytics, customer data platforms, marketing automation platforms, advertising platforms, and experimentation tools.
  • Strong presentation and data storytelling skills with the ability to communicate technical concepts to executive audiences

Other Requirements: 

  • Proven experience partnering directly with senior marketing leaders to influence strategy and business outcomes.
  • Strong understanding of omni-channel marketing, customer lifecycle management, anddigital commerce.
  • Demonstrated success building and scaling analytics capabilities that drive measurable business impact.
  • Experience leading organizational transformation, process improvement, or operating model evolution within analytics or marketing organizations.
  • Exceptional executive communication, influencing, and stakeholder management skills.
  • Ability to balance strategic thinking with operational execution in a fast-paced, highly collaborative environment.
  • Passion for developing people, fostering innovation, and building inclusive, high-performing teams 

The expected Total Compensation for this role is $150,000 - $185,000 + annual bonus + equity. Individual compensation decisions are based on a variety of factors.
 

Job Benefits

  • Ski/Mountain Perks! Free passes for employees, employee discounted lift tickets for friends and family AND free ski lessons
  • MORE employee discounts on lodging, food, gear, and mountain shuttles
  • 401(k) Retirement Plan
  • Employee Assistance Program
  • Excellent training and professional development

Full Time roles are eligible for the above, plus:

  • Health Insurance; Medical Insurance, Dental Insurance, and Vision Insurance plans (for eligible seasonal employees after working 500 hours)
  • Free ski passes for dependents
  • Critical Illness and Accident plans

Vail Resorts offers a ‘Hybrid’ work environment where employees living within 50 miles of the Broomfield office work on-site Tuesday, Wednesday, Thursday and have flexibility to work off-site on Mondays and Fridays.  Employees living outside of a commutable distance can work remotely from British Columbia, Washington D.C., and the 16 U.S. states* in which we currently operate. This includes: California, Colorado, Indiana, Michigan, Minnesota, Missouri, New Hampshire, New York, Nevada, Ohio, Pennsylvania, Utah, Vermont, Washington State, Wisconsin, and Wyoming.

Please note that the ability to work in person or off-site, and the particulars related to such work, are subject to change at any time; and, accordingly, the Company reserves the right to change its policies and/or require in-person/in-office work or off-site work at any time in its sole discretion. 

In completing this application, and when submitting related documentation, applicants may redact information that identifies their age, date of birth, and/or dates of attendance at or graduation from an educational institution. 

We follow all federal, state, and local laws including restrictions on child/minor labor. Minors hired into this position will not be asked or permitted to engage in any activities restricted to adult workers.

Vail Resorts is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, protected veteran status or any other status protected by applicable law.

Requisition ID  515981
Reference Date: 07/17/2026 
Job Code Function: Marketing Analytics  

What Vail Resorts employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply