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Director Predictive Analytics Jobs in Utah (NOW HIRING)

The Director, Data Science - Competitive Intelligence, AI Insights & Strategic Analytics is a ... Apply advanced statistical techniques, machine learning models, and predictive analytics to ...

Apply AI/ML methods to enhance predictive analytics, anomaly detection, and risk identification ... Partner with program directors, data scientists, and software engineers to operationalize models ...

Evaluate and prioritize Generative AI, predictive analytics, machine learning, and intelligent ... Perform direct troubleshooting and root cause analysis when necessary. * Guide teams through issue ...

Apply AI/ML methods to enhance predictive analytics, anomaly detection, and risk identification ... Partner with program directors, data scientists, and software engineers to operationalize models ...

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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 Utah? The most popular types of Predictive Analytics jobs in Utah are:
What cities in Utah are hiring for Director Predictive Analytics jobs? Cities in Utah with the most Director Predictive Analytics job openings:

Director, Growth Analytics & Optimization

mophie

Midvale, UT

Full-time

Re-posted 26 days ago


Job description

Director, Growth Analytics amp; Optimization

Location: Midvale, UT 84047

About the Role

We are seeking a strategic and data-driven Director of Growth Analytics amp; Optimization to lead our efforts in driving customer acquisition, engagement, and retention through advanced analytics and optimization strategies. This role will be based in Midvale, UT and will report to senior leadership, playing a critical role in shaping the company’s growth trajectory.

Key Responsibilities
  • Lead the growth analytics team to develop and implement data-driven strategies that accelerate user acquisition, engagement, and retention.
  • Design and oversee A/B testing, multivariate testing, and other experimentation frameworks to optimize marketing campaigns and product features.
  • Collaborate cross-functionally with marketing, product, engineering, and data science teams to identify growth opportunities and translate insights into actionable plans.
  • Develop and maintain dashboards and reporting tools to monitor key growth metrics and provide regular updates to stakeholders.
  • Leverage advanced analytics, machine learning, and predictive modeling to forecast growth trends and inform strategic decisions.
  • Drive continuous improvement by analyzing funnel performance, customer behavior, and market trends.
  • Mentor and develop a high-performing team of analysts and optimization specialists.
Qualifications
  • Bachelor’s or Master’s degree in Business, Statistics, Data Science, Economics, or a related field.
  • 7+ years of experience in growth analytics, marketing analytics, or a related discipline, with at least 3 years in a leadership role.
  • Proven track record of driving growth through data-driven experimentation and optimization.
  • Strong expertise in A/B testing platforms, analytics tools (e.g., Google Analytics, Mixpanel), and data visualization software (e.g., Tableau, Looker).
  • Proficiency in SQL and experience with statistical programming languages such as Python or R.
  • Excellent communication skills with the ability to translate complex data insights into clear business recommendations.
  • Experience managing and mentoring teams in a fast-paced, dynamic environment.
Why Join Us?

Join a forward-thinking company where your expertise will directly impact our growth and success. You will have the opportunity to lead a talented team and work on innovative projects that challenge the status quo.

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