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Director Predictive Analytics Jobs in Colorado (NOW HIRING)

... analysis, reporting, and insight. RESPONSIBILITIES: * As a key member of the cross-functional ... Establish use of predictive insights and modern forecasting methodologies to drive improved ...

Leverage predictive analytics to enhance forecast precision and scenario modeling. Inventory ... Experience in a global, multi-channel environment (direct and distributor sales preferred)

... and predictive analytics. These systems are in production, serving thousands of agencies and ... direct people management or formal tech lead experience with responsibility for team delivery

... and predictive analytics. These systems are in production, serving thousands of agencies and ... direct people management or formal tech lead experience with responsibility for team delivery

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Director Predictive Analytics information

What are the key skills and qualifications needed to thrive as a director of predictive analytics?

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 jobs use predictive analytics?

Predictive analytics is used in a variety of roles such as data analysts, data scientists, business analysts, and marketing analysts. These jobs involve analyzing data to forecast trends, improve decision-making, and optimize processes using tools like statistical software and machine learning algorithms.

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 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:

Senior Energy Market Analyst - Natural Gas

East Daley Analytics

Greenwood Village, CO โ€ข On-site

$85K - $100K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 29 days ago


Job description

We are using Predictive Index in our hiring practices, please use this link to take the two PI assessments:
Click to take assessments
East Daley Analytics is a fast-paced, leading provider of North American energy infrastructure and commodity market insights, offering data-driven solutions to help clients navigate investment decisions, M&A transactions, and financial market opportunities.
Our Mission: At East Daley, we move the market. We deliver insights that shape real decisions for the most influential leaders in energy and finance and we do it with speed, rigor, and conviction. We're building the next generation of energy analytics in a culture that values transparency, innovation, and a true play-to-win mindset. If you join East Daley, you won't just support the future you'll help create it, alongside a team that works hard, holds a high bar, and genuinely enjoys winning together.
We are looking for an experienced, disciplined, and detail-oriented analyst who thrives on independent work and critical thinking. This role requires both technical depth and creative problem-solving to navigate complex systems and abstract concepts. Success depends on the ability to balance speed and precision - knowing when to move fast and when to ensure accuracy, even in challenging situations.
Role Responsibilities:
โ€ข Analyze Natural Gas volumes, production, prices, contract data, and flow dynamics
โ€ข Prepare monthly reports detailing regional supply & demand dynamics
โ€ข Create unique and insightful data visualizations for complex systems
โ€ข Communicate both technical and non-technical information to external and internal clients
โ€ข Support senior analysts in product development and maintenance
โ€ข Develop price hub forecasts and methodologies
โ€ข Develop new products and tools for data analysis and manipulation
Compensation:
โ€ข Salary range is $85,000 - $100,000 plus bonus opportunities
โ€ข This is a full-time, exempt position based in Greenwood Village, Colorado, and reports to Natural Gas Team Lead
Benefits:
โ€ข Medical (with multiple plan options), Dental, and Vision Coverage with Company contributions
โ€ข 401K with a 3% Company contribution
โ€ข Flexible and Health Savings Account Options with Company contribution
โ€ข EAP and Wellness Program
โ€ข Life and Accidental Death, Short- and Long-Term Disability Coverage
โ€ข Unique opportunity for rapid development in energy markets, working directly with senior analysts to build next-generation Natural Gas analytic products
โ€ข Meaningful ownership of projects with real-world application; contributing directly to client-facing research and market insights
โ€ข Exposure to live energy infrastructure data, modeling, and analytics used by institutional investors and industry participants
โ€ข Hands-on learning and professional development in a fast-paced, collaborative environment with direct mentorship from experienced market professionals
โ€ข Opportunity to build technical, analytical, and industry knowledge within the oil, gas, NGL, and financial sectors
Requirements
Minimum Qualifications:
โ€ข Two years of experience or familiarity with natural gas markets, including:
o Regional flow dynamics, including flows and pipeline informational postings
o Supply and demand fundamentals, including basis prices and regional hub dynamics
o Lower 48 infrastructure development
o Recent market trends
o Familiarity with FERC and DOE filings and regulations
โ€ข Bachelor's Degree required: Technical/quantitative fields strongly preferred (Statistics, Mathematics, Computer Science, Data Science, Economics/Finance, Geology, Engineering or related)
โ€ข Strong critical thinking skills and attention to detail, with the ability to break down complex problems into tactical actions
โ€ข Strong ownership mentality: able to work in ambiguous situations and propose solutions
โ€ข Ability to learn quickly, prioritize, and adapt to new assignments in a fast-paced environment
โ€ข Introductory experience with SQL or relational databases
โ€ข Introductory experience with Python or similar programming languages
โ€ข Proficiency with the Microsoft office suite, including Excel and PowerPoint
โ€ข Strong written and verbal communication skills
Preferred Qualifications:
โ€ข Three to five years of experience with natural gas markets, including:
o Regional flow dynamics, including flows and pipeline informational postings
o Supply and demand fundamentals, including basis prices and regional hub dynamics
o Lower 48 infrastructure development
o Recent market trends
o Familiarity with FERC and DOE filings and regulations
o Supply and demand model creation
o Price hub forecasting
o Production modeling
โ€ข Master's of Science in Statistics, Mathematics, Computer Science, Data Science, Economics/Finance, Geology, Engineering, or related field
โ€ข Demonstrated ability to work with large datasets, automate repetitive workflows, and build clean, reliable systems.
โ€ข Experience in client-facing roles presenting analytical findings, including regular discussions on market fundamental and dynamics
โ€ข Advanced experience with Python and SQL
โ€ข Advanced experience with data analysis libraries (e.g., pandas, NumPy) and data visualization tools (e.g., Plotly, Tableau)
โ€ข Strong proficiency in MS Excel (automation, VBA, Power Query)
โ€ข Experience with Machine Learning methodology
Please note that this job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.
East Daley Analytics is an Equal Employment Opportunity (EEO) employer and welcomes all qualified applicants. Applicants will receive fair and impartial consideration without regard to race, sex, color, religion, national origin, age, disability, veteran status, genetic data, or other legally protected status.
Salary Description
$85,000 - $100,000