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Executive Predictive Analytics Jobs in Ohio (NOW HIRING)

... learning, and predictive analytics to guide decision-making. • Develop scalable tools that ... and executive briefings with clarity and confidence. Qualifications : Required : • Proven ...

Apply optimization, forecasting, machine learning, and predictive analytics to guide decision ... Facilitate client meetings, stand-ups, and executive briefings with clarity and confidence.

Apply optimization, forecasting, machine learning, and predictive analytics to guide decision ... Facilitate client meetings, stand-ups, and executive briefings with clarity and confidence.

... predictive and machine-learning models for specific business needs using statistics, advanced ... Demonstrates executive presence; Offers an opinion, contributes to the conversation * Partnering ...

... predictive and machine-learning models for specific business needs using statistics, advanced ... Demonstrates executive presence; Offers an opinion, contributes to the conversation * Partnering ...

... predictive and machine-learning models for specific business needs using statistics, advanced ... Demonstrates executive presence; Offers an opinion, contributes to the conversation * Partnering ...

... predictive and machine-learning models for specific business needs using statistics, advanced ... Demonstrates executive presence; Offers an opinion, contributes to the conversation * Partnering ...

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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 is an 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 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.

What are the most commonly searched types of Predictive Analytics jobs in Ohio? The most popular types of Predictive Analytics jobs in Ohio are:
What cities in Ohio are hiring for Executive Predictive Analytics jobs? Cities in Ohio with the most Executive Predictive Analytics job openings:

Data Scientist

AMEND Consulting

Cincinnati, OH • On-site

Full-time

Re-posted 13 days ago


Job description

Job Summary:
AMEND Consulting is a management consulting firm based in Cincinnati, OH, focused on operations, analytics, and technology. They are seeking a Data Scientist who will build advanced analytics tools and partner with clients to deliver solutions that enhance decision-making and business value.
Responsibilities:
• Build scalable, data-driven tools and analytics solutions that address real client challenges.
• Apply optimization, forecasting, machine learning, and predictive analytics to guide decision-making.
• Develop scalable tools that translate data into action for client leaders and operators.
• Partner with clients to understand their strategic priorities, pain points, and growth opportunities.
• Present findings that connect the 'what' and 'why' to the 'so what' — turning technical outputs into clear business value.
• Facilitate client meetings, stand-ups, and executive briefings with clarity and confidence.
Qualifications:
Required:
• Proven experience with Python or C#, SQL, and applied machine learning or statistical modeling, and data management.
• Ability to translate analytical results into insights that drive decision-making and strategy.
• Experience managing projects, leading meetings, and communicating with executive stakeholders.
• A habit of asking 'why?' and exploring unconventional solutions to business problems.
• Bachelor's degree in Business Analytics, Data Science, or Computer Science (or equivalent experience in industry).
• Math optimization and prescriptive analytics
• Machine learning and predictive analytics
• Forecasting and quantitative analysis
• Power BI and Power Apps
• Git for version control
• n8n and Power Automate
• Azure Logic Apps
Company:
We help leaders ignite growth by turning complexity into transformation. Founded in 2005, the company is headquartered in Cincinnati, USA, with a team of 51-200 employees. The company is currently Growth Stage.