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Executive Predictive Analytics Jobs in Arizona (NOW HIRING)

This role leverages predictive modeling, experimentation, machine learning, and workforce analytics ... Design, develop, and maintain dashboards, scorecards, and executive reporting solutions that ...

This role leverages predictive modeling, experimentation, machine learning, and workforce analytics ... Design, develop, and maintain dashboards, scorecards, and executive reporting solutions that ...

This role leverages predictive modeling, experimentation, machine learning, and workforce analytics ... Design, develop, and maintain dashboards, scorecards, and executive reporting solutions that ...

Big Data Architect

Phoenix, AZ ยท On-site

$63.25 - $81.50/hr

Candidate must have executive presence and ability to interact with executive client suite ... BI & data analytics: reporting, OLAP, dashboards and predictive analytics solutions and platforms.

Translate complex data into clear, compelling narratives for executive leaders. * Advance analytics capabilities from descriptive reporting to predictive and forward-looking insights. * Develop ...

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Executive Predictive Analytics information

What are the key skills and qualifications needed to thrive as an Executive in Predictive Analytics, and why are they important?

To thrive as an Executive in Predictive Analytics, you need advanced expertise in statistical analysis, data modeling, and business strategy, usually supported by a degree in data science, statistics, or a related field. Familiarity with analytics platforms such as SAS, R, Python, and big data tools, as well as certifications like Certified Analytics Professional (CAP), is highly beneficial. Exceptional leadership, communication, and strategic decision-making abilities set standout executives apart in this field. These skills enable leaders to drive data-informed organizational growth, align analytics initiatives with business objectives, and foster innovation across teams.

How does an Executive Predictive Analytics professional typically collaborate with other departments to drive business outcomes?

An Executive Predictive Analytics professional often works closely with teams across marketing, finance, operations, and IT to align advanced analytics initiatives with broader business goals. They translate complex data insights into actionable strategies, facilitating data-driven decision-making at the executive level. Regular cross-functional meetings and workshops are common to ensure that predictive models are integrated into business processes and that stakeholders understand their impact. Collaboration is key, as these executives must communicate technical findings in an accessible way to influence strategic planning and organizational change.

What are Executive Predictive Analytics?

Executive Predictive Analytics refers to the use of advanced data analysis techniques and machine learning models by organizational leaders to forecast future business outcomes and inform strategic decisions. Executives use predictive analytics to anticipate market trends, identify risks and opportunities, and optimize resource allocation. This role requires a combination of business acumen, data science knowledge, and the ability to translate complex data into actionable insights for high-level decision-making.

What does a predictive analyst do?

A predictive analyst uses statistical models and data analysis techniques to forecast future trends and behaviors. They work with large datasets, employ tools like SQL and Python, and interpret results to support decision-making in organizations. Strong analytical skills and knowledge of machine learning are essential for this role.

What is the highest paying job in data analytics?

In data analytics, executive roles such as Chief Data Officer (CDO) or Vice President of Data often have the highest salaries, especially in large organizations. These positions require advanced skills in data strategy, leadership, and often a background in predictive analytics or data science, with compensation reaching into seven figures in some cases.

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

AspectExecutive Predictive AnalyticsData Scientist
Required CredentialsOften requires advanced degrees in business, analytics, or related fields; certifications in analytics toolsTypically requires degrees in computer science, statistics, or mathematics; certifications in programming and data analysis
Work EnvironmentStrategic, executive-level settings; focuses on business impact and decision-makingTechnical environment; involves data modeling, coding, and statistical analysis
Employer & Industry UsageUsed in corporate strategy, finance, marketing, and operations departmentsEmployed across tech, finance, healthcare, and research organizations

While both roles involve data analysis and predictive modeling, Executive Predictive Analytics focuses on strategic insights for leadership decision-making, whereas Data Scientists handle technical data modeling and algorithm development. The roles often overlap but differ mainly in scope and target audience.

Is 40 too late for data science?

For an executive predictive analytics role, age is generally not a barrier if you have relevant skills, experience, and knowledge of tools like Python, R, and machine learning algorithms. Many professionals transition into data science or analytics later in their careers, leveraging their domain expertise and analytical skills. Continuous learning and certifications can also enhance your qualifications regardless of age.

Is AI taking over analytics jobs?

Executive Predictive Analytics professionals use AI tools and machine learning algorithms to analyze data and generate insights. While AI automates certain tasks, these roles require expertise in interpreting results, developing models, and making strategic decisions, so AI complements rather than replaces analytics jobs.
What are the most commonly searched types of Predictive Analytics jobs in Arizona? The most popular types of Predictive Analytics jobs in Arizona are:
What are popular job titles related to Executive Predictive Analytics jobs in Arizona? For Executive Predictive Analytics jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Executive Predictive Analytics jobs in Arizona look for? The top searched job categories for Executive Predictive Analytics jobs in Arizona are:
What cities in Arizona are hiring for Executive Predictive Analytics jobs? Cities in Arizona with the most Executive Predictive Analytics job openings:
EHS Analytics & Systems Enablement Analyst, Global

EHS Analytics & Systems Enablement Analyst, Global

Vantage Data Centers

Phoenix, AZ โ€ข On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 15 days ago


Job description

About Vantage Data Centers


Vantage Data Centers powers, cools, protects and connects the technology of the world's well-known hyperscalers, cloud providers and large enterprises. Developing and operating across North America, EMEA and Asia Pacific, Vantage has evolved data center design in innovative ways to deliver dramatic gains in reliability, efficiency and sustainability in flexible environments that can scale as quickly as the market demands.

Position Overview

Vantage is seeking a highly analytical and systems-oriented EHS Analytics & Systems Enablement Analyst to support the evolution of our EHS Business Analytics function. This role will serve as a key delivery partner responsible for advancing analytics, systems, and data enablement initiatives that drive operational insight and scalability across the business.

You will collaborate closely with EHS leadership, data engineering, and platform teams to ensure EHS systems, data, and workflows are reliable, governed, and built for enterprise use. This role will play a critical part in high-impact initiatives including EHS system stabilization (Procore), predictive analytics development, executive reporting, and enterprise platform implementations such as ServiceNow.

Position can be based remotely or at any of our U.S. locations

Essential Job Functions

  • Lead execution of EHS systems stabilization efforts, including identifying and resolving data and configuration inconsistencies

  • Support governance and standardization of EHS workflows, ensuring alignment with defined data standards and business logic

  • Partner with platform owners (e.g., Procore, ServiceNow) to maintain system integrity and scalable configurations

  • Support development and enhancement of EHS executive dashboards, scorecards, and predictive analytics tools

  • Translate operational EHS needs into clear data, reporting, and system requirements

  • Partner with data engineering teams to support data pipelines, quality, and reporting reliability

  • Perform QA and validation of analytics outputs to ensure accuracy, consistency, and trust

  • Help define and implement governance and change management processes for EHS systems and analytics

  • Track adoption metrics and identify opportunities to improve system usage and data quality

  • Identify process gaps, system risks, and opportunities to reduce technical or system debt

  • Support development of documentation, standards, and operating procedures

  • Act as a cross-functional liaison between EHS, IT, data engineering, and operations teams

  • Partner with regional stakeholders to drive consistency in system usage and data entry practices

  • Surface dependencies across adjacent initiatives and support alignment across teams

  • Contribute to continuous improvement initiatives that enhance scalability and operational efficiency

  • Perform additional duties as assigned by management

Job Requirements

Education & Experience

  • 2+ years of experience in analytics, systems enablement, operations analytics, or a related discipline

  • Experience supporting enterprise or multi-regional systems or analytics implementations

  • Background in EHS ideally within construction, infrastructure, manufacturing, or other operational environments strongly preferred

Core Capabilities

  • Strong analytical and systems-thinking mindset with the ability to identify root causes and drive solutions

  • Ability to translate operational workflows into data, reporting, and system requirements

  • Comfortable working in ambiguous environments with evolving processes and incomplete documentation

  • Strong collaboration and communication skills across technical and non-technical stakeholders

Technical & Analytical Skills

  • Experience with data visualization and reporting tools (e.g., Power BI or similar)

  • Familiarity with enterprise platforms such as Procore, ServiceNow, or equivalent systems

  • Understanding of data quality, data governance, and data lifecycle concepts

  • Working knowledge of how data flows from source systems to reporting and analytics layers

  • Ability to partner effectively with data engineering teams

Additional Strengths

  • Understanding of EHS workflows or regulated operational environments preferred

  • Experience supporting change management, system adoption, and process standardization

  • Ability to balance enterprise-level rigor with practical field adoption

  • Strong organizational skills with the ability to manage multiple priorities in a fast-paced environment

Physical Demands and Special Requirements

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

While performing the duties of this job, the employee is occasionally required to stand; walk; sit; use hands to handle, or feel objects; reach with hands and arms; climb stairs; balance; stoop or kneel; talk and hear. The employee must occasionally lift and/or move up to 25 pounds.

Additional Details

  • Salary Range: $80,000-100,000 Base + Bonus (this range is based on Colorado market data and may vary in other locations)

  • This position is eligible for company benefits including but not limited to medical, dental, and vision coverage, life and AD&D, short and long-term disability coverage, paid time off, employee assistance, participation in a 401k program that includes company match, and many other additional voluntary benefits.

  • Compensation for the role will depend on a number of factors, including your qualifications, skills, competencies, and experience and may fall outside of the range shown.

#LI-SH1

We operate with No Ego and No Arrogance. We work to build each other up and support one another, appreciating each other's strengths and respecting each other's weaknesses. We find joy in our work and each other, actively seeking opportunities to inject fun into what we do. Our hard and efficient work is rewarded with an above market total compensation package. We offer a comprehensive suite of health and welfare, retirement, and paid leave benefits exceeding local expectations.


Throughout the year, the advantage of being part of the Vantage team is evident with an array of benefits, recognition, training and development, and the knowledge that your contribution adds value to the company and our community.

Don't meet all the requirements? Please still apply if you think you are the right person for the position. We are always keen to speak to people who connect with our mission and values.

Vantage Data Centers is an Equal Opportunity Employer

Vantage Data Centers does not accept unsolicited resumes from search firm agencies. Fees will not be paid in the event a candidate submitted by a recruiter without an agreement in place is hired; such resumes will be deemed the sole property of Vantage Data Centers.

We'll be accepting applications for at least one week from the date this role is posted. If you're interested, we encourage you to apply soon-we're excited to find the right person and will keep the role open until we do!