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Executive Scientific Visualization Jobs in Ohio (NOW HIRING)

Goosehead

Senior Sales Analyst

Westlake, OH · On-site

$79K - $100K/yr

Act as a trusted advisor to C-suite executives by providing data-driven insights and ... Bachelor's degree in Data Analytics, Information Systems, Data Science, or a related field. * 5+ ...

KeyBank

Business Analytics Manager

Brooklyn, OH · On-site

Master's Degree in Analytics, Computer Science, Economics, Finance, Financial Mathematics ... Ability to use business intelligence and data visualization tools to tell impactful stories with ...

Keybank

Business Analytics Manager

Brooklyn, OH

Master's Degree in Analytics, Computer Science, Economics, Finance, Financial Mathematics ... Ability to use business intelligence and data visualization tools to tell impactful stories with ...

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All JobsScientific Visualization JobsExecutive Scientific Visualization JobsExecutive Scientific Visualization Jobs in Ohio

Executive Scientific Visualization information

What is the difference between Executive Scientific Visualization vs Scientific Visualization Specialist?

AspectExecutive Scientific VisualizationScientific Visualization Specialist
Required CredentialsBachelor's or Master's in Science, Visualization, or related fields; experience in leadership rolesBachelor's or Master's in Science, Visualization, Computer Graphics, or related fields
Work EnvironmentLeadership, strategic planning, client interaction, project oversightHands-on visualization work, software development, data analysis
Employer & Industry UsageResearch institutions, biotech, pharma, scientific agenciesResearch labs, tech companies, scientific consulting firms
Common Search & ComparisonYesYes

Executive Scientific Visualization roles focus on leadership, strategic planning, and client engagement, often requiring advanced degrees and experience. Scientific Visualization Specialists perform technical, hands-on visualization work, emphasizing software skills and data analysis. Both roles are vital in scientific industries but differ mainly in responsibility level and focus.

What cities in Ohio are hiring for Executive Scientific Visualization jobs? Cities in Ohio with the most Executive Scientific Visualization job openings:
Executive Scientific Visualization jobs near you

Quantitative Analyst

Wright-Patt Credit Union

Beavercreek, OH • On-site

Full-time

Posted 17 days ago

Wright-Patt Credit Union rating

5.8

Company rating: 5.8 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

Job description

The Quantitative Analyst is responsible for leading high-impact statistical analysis, measurement design, and scalable analytics solutions that improve business performance and decision-making. This role partners closely with Strategy, Product, and Technology teams to evaluate key initiatives, identify performance drivers, develop statistically sound measurement approaches, and deliver executive-ready insights that influence priorities and investments. The Quantitative Analyst combines strong analytical depth with automation and repeatability, ensuring insights are accurate, timely, and operationally useful.

1)      High-Impact Quantitative Analysis & Decision Science (30%): Use statistical methods to identify drivers of performance, validate hypotheses, and quantify the impact of business decision using structured and repeatable approaches.

a)       Perform exploratory data analysis, segmentation, and trend analysis to uncover patterns and anomalies.

b)      Apply statistical techniques such as hypothesis testing, confidence intervals, correlation, and regression analysis.

c)       Identify opportunities for growth, efficiency, and experience improvement using data-backed recommendations.

d)      Deliver decision-ready outputs that connect analysis to actions, tradeoffs, and expected outcomes.

2)      Experimentation, Testing, and Impact Evaluation (25%): Design measurement frameworks that ensure the organization can track initiative performance, quantify impact, and drive accountability.

a)       Support A/B testing and experiment analysis including test design inputs, lift measurement, and interpretation.

b)      Partner with product and business teams to define success metrics, baselines, and measurement plans.

c)       Evaluate initiative effectiveness using controlled comparisons, pre/post analysis, and statistical significance testing.

d)      Develop standardized experiment readouts and decision frameworks to improve speed and consistency.

3)      Predictive Analytics & Optimization (20%): Drive advanced analytics efforts that improve targeting, prioritization, and decision-making through modeling and quantitative scoring.

a)       Partner with data scientists to support model development by preparing datasets, validating features, and interpreting outputs.

b)      Build and maintain scoring frameworks (propensity, prioritization, classification support) aligned to business use cases.

c)       Support model evaluation using practical performance measures (lift, precision/recall, error rates).

d)      Translate model outputs into actionable recommendations and operational workflows.

4)      Automation & Scalable Analytics Delivery (15%): Increase speed, consistency, and reliability of insights by automating analysis workflows and enabling scalable analytics delivery.

a)       Develop automated analysis workflows using SQL and Python to reduce manual effort.

b)      Build reusable scripts, templates, and standardized datasets to improve reliability and consistency.

c)       Partner with data engineering teams to improve data availability and support repeatable pipelines.

d)      Implement monitoring and alerting for key performance indicators and threshold-based changes.

5)      Communication, Visualization, and Executive Enablement (10%): Present actionable insights to senior leadership in a format that is relevant for the audience.

a)       Build clear, executive-ready summaries and visualizations tied to business outcomes.

b)      Present findings and recommendations to senior leaders and cross-functional teams.

c)       Communicate confidence levels, limitations, and tradeoffs in a practical way.

d)      Ensures proper policies, procedures, risk mitigation activities, and operating controls are followed. Reports gaps in policies, procedures, and operating controls to leadership to ensure member impact and risk is mitigated.  

What Wright-Patt Credit Union employees say

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