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Director Predictive Analytics Jobs in Colorado (NOW HIRING)

iLending

Director of Data and Analytics

Englewood, CO · On-site

... Director of Data & Analytics. This role will be responsible for all aspects of data management ... Predictive Analytics, and utilizing LLMs, SLMs. • Demonstrated experience in generating ...

iLending

Director of Data and Analytics

Englewood, CO · On-site

$130K - $150K/yr

The Director of Data Analytics will play a critical role in driving the company's growth by ... Demonstrated experience in developing ML Models, Predictive Analytics, and utilizing LLMs, SLMs.

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 ...

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 +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

$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

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All 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 of Data and Analytics

Director of Data and Analytics

iLending

Englewood, CO • On-site

Full-time

Posted 16 days ago

Job description

Job Summary:
iLending is a national leader in automotive refinancing, and they are seeking an experienced and strategic Director of Data & Analytics. This role will be responsible for all aspects of data management, analysis, and strategic insights, playing a critical role in driving the company's growth by leveraging data assets and analytics capabilities.
Responsibilities:
• Perform thorough analyses to uncover actionable insights or strategic opportunities related to business growth, operational efficiency, and cost/ resource optimization.
• The Director of Data Analytics will provide hands-on consultancy, collaboration, and support to all department heads and project teams in designing, staffing, and delivering analytics data and financial reporting and the continued refinement of the budget/forecast process.
• Manage and optimize the data infrastructure and technology stack, including data storage, ETL processes, data modeling, and data visualization tools.
• Utilizing Power BI, Excel, and SQL to continue development of a full suite of operational reports from multiple systems.
• Establish and maintain robust data governance processes, ensuring data quality, integrity, and security across all systems and platforms.
• Collaborate closely with cross-functional teams, including marketing, sales, finance, operations, and technology, to identify business needs and develop data-driven solutions. Establish strong relationship across all business lines.
• Stay abreast of industry trends, emerging technologies, and best practices in data management, analytics, and financial technology, and recommend innovative approaches to enhance data-driven decision-making.
• Foster a data-driven culture within the organization, promoting data literacy, encouraging data-driven thinking, and driving data-driven decision-making at all levels.
• Enable data-informed decision-making across the entire company through the development and deployment of dashboards / standardized KPIs / operational metrics/training/ awareness.
• Provide a high level of responsiveness in developing new reporting to address needs or questions from the executive team.
Qualifications:
Required:
• Minimum of 7-10 years of deep data analytics experience.
• Expert level experience in Data warehousing.
• Expert level SQL knowledge.
• Hands-on experience building reporting solutions in Power BI.
• Azure, Microsoft Fabric experience is required.
• Demonstrated experience in developing ML Models, Predictive Analytics, and utilizing LLMs, SLMs.
• Demonstrated experience in generating historical, current and future trends of sales, marketing and customer data.
• Experience in consumer lending (auto loans, mortgage, personal loans etc.).
• Excellent communication and presentation skills, with the ability to convey technical concepts to non-technical stakeholders.
• Experience with running analytics for the sales organization.
• Experience fostering solid relationships across multiple departments.
• Ability to collaborate with senior executives.
• Strong business acumen and the ability to translate complex data insights into actionable recommendations for senior leadership.
Preferred:
• Bachelor's degree from a 4-year accredited college or university; Finance, or other analytical/technical majors strongly preferred.
Company:
iLending is an automotive refinancing company that provides finance and loan services. Founded in 2006, the company is headquartered in Englewood, USA, with a team of 201-500 employees. The company is currently Growth Stage.

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