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Decision Engineer Jobs in Ohio (NOW HIRING)

Decision Analyst: Onsite

Columbus, OH ยท On-site

$70K - $140K/yr

Bachelor's degree in Business, Economics, Decision Sciences, Statistics, Operations Research ... A minimum of 1 year of experience in data mining, programming, or statistical analysis. Preferred ...

New

Decision Analyst: Onsite

Cleveland, OH ยท On-site

$70K - $140K/yr

Bachelor's degree in Business, Economics, Decision Sciences, Statistics, Operations Research ... A minimum of 1 year of experience in data mining, programming, or statistical analysis. Preferred ...

New

Senior Manager, Decision Science

Cleveland, OH ยท On-site

$143K - $180K/yr

This role manages decision scientists, product owners, and BI developers while serving as a player-coach who raises team capability, models analytical best practices, and helps deliver value from ...

Decision Making: * Knows which decisions they are authorized to make. * Develops decision-making skills under guidance of higher-level employees and makes routine decisions subject to review and ...

Develops decision-making skills under guidance of higher-level employees and makes routine ... Engineer Associate: * Bachelor's degree in engineering in a program accredited by ABET*; Passing ...

New

Design and quote in-scope engineered and standard designs. * Provide support to purchasing ... Good communication and decision making abilities. * Analytical and problem solving abilities.

Design and quote in-scope engineered and standard designs. * Provide support to purchasing ... Good communication and decision making abilities. * Analytical and problem solving abilities.

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Showing results 1-20

Decision Engineer information

What are the key skills and qualifications needed to thrive as a decision engineer, and why are they important?

To thrive as a Decision Engineer, you need strong analytical skills, expertise in data modeling, and a background in fields like operations research, mathematics, or computer science. Familiarity with decision analysis tools, optimization software (such as CPLEX or Gurobi), and programming languages like Python or R is typically required. Exceptional problem-solving abilities, communication skills, and the capacity to synthesize complex information are valuable soft skills in this role. These competencies enable Decision Engineers to develop effective solutions for complex business challenges and drive data-informed decision-making.

How does a decision engineer typically collaborate with data scientists and business stakeholders to deliver impactful solutions?

Decision Engineers frequently act as a bridge between technical teams and business stakeholders. In a typical workflow, they collaborate with data scientists to understand the underlying data models and analytical outputs, then work closely with business leaders to translate these insights into actionable strategies. This often involves facilitating discussions to clarify business objectives, ensuring analytical approaches align with end goals, and iteratively refining solutions based on feedback. Strong communication and project management skills are essential, as Decision Engineers must synthesize complex information and drive consensus among diverse teams.

What is a decision engineer?

Decision Engineers are professionals who apply analytical, mathematical, and computational techniques to help organizations make data-driven decisions. They often use tools from operations research, data science, and systems engineering to evaluate complex options, optimize processes, and predict outcomes. Their work enables businesses to solve challenging problems, improve efficiency, and minimize risks in decision-making processes.

What is the difference between Decision Engineer vs Data Scientist?

AspectDecision EngineerData Scientist
Required credentialsBachelor's or master's in engineering, analytics, or related fieldsBachelor's or master's in statistics, computer science, or related fields
Work environmentFocus on designing decision models, algorithms, and optimization processesFocus on analyzing data, building predictive models, and extracting insights
Employer and industry usageUsed in industries like manufacturing, finance, and logistics for decision automationCommon in tech, finance, healthcare for data analysis and modeling

Decision Engineers primarily develop decision models and optimize processes to improve business outcomes, while Data Scientists analyze data to generate insights and predictive models. Both roles require strong analytical skills, but Decision Engineers focus more on decision automation and operational efficiency, whereas Data Scientists focus on data analysis and modeling.

What cities in Ohio are hiring for Decision Engineer jobs? Cities in Ohio with the most Decision Engineer job openings:

Decision Analyst: Onsite

Huntington

Columbus, OH โ€ข On-site

$70K - $140K/yr

Full-time

Medical, Life, Retirement, PTO

This job post hasย expired today.ย Applications are no longer accepted.


Job description

Description

This position is available to be filled at any Huntington corporate office location.

Senior Data Analyst, Public Website Performance

In this role, you will be the dedicated analytics partner for the public website, helping Marketing and Digital teams understand how visitors find, engage with, and convert through our digital experiences.

You will turn digital behavior, marketing performance, and customer journey data into clear business recommendations that improve acquisition, engagement, conversion, relationship growth, and the overall public website experience.

Why This Role Stands Out

  • Shape public website strategy โ€“ Your insights will help prioritize the experiences, content, tests, and journeys that drive customer acquisition and engagement.
  • Connect engagement to business outcomes โ€“ You will measure how traffic sources, content, and digital journeys influence account openings, applications, fundings, deposits, and relationship growth.
  • Own ambiguous performance questions โ€“ You will move from broad business problems to structured analysis, clear findings, and practical recommendations.
  • Influence across functions โ€“ You will work closely with Marketing, Product, UX, Technology, and Analytics partners to improve public site performance.
  • Tell the story behind the data โ€“ You will translate complex analytics into executive-ready narratives that help leaders make decisions.

What Youโ€™ll Do

  • Partner with Marketing, Product, UX, Technology, and Analytics teams to define public website performance questions, success metrics, and priorities.
  • Analyze customer acquisition, engagement, conversion, retention, cross-sell, and relationship growth across public website journeys.
  • Measure key funnel outcomes, including visitor-to-application, application starts, application completions, account openings, account fundings, and deposit growth attribution.
  • Conduct funnel, behavioral, and journey diagnostics to identify drop-off, friction, abandonment, navigation patterns, content engagement, and opportunities to improve conversion.
  • Translate analytics findings into recommendations that improve customer experience and business performance.
  • Develop clear, executive-ready stories that explain what is happening, why it matters, and what actions the business should take.

What You Bring

  • Communication and storytelling strength with the ability to turn data, dashboards, and complex analyses into clear recommendations and executive-ready narratives.
  • Business and marketing acumen, including an understanding of how marketing efforts drive customer acquisition, engagement, conversion, and business growth.
  • Banking product familiarity, including consumer and business banking products such as checking, savings, deposits, lending, and digital banking experiences.
  • Analytical problem solving and experimentation mindset with the ability to define the right question, structure ambiguous problems, identify root causes, and recommend practical next steps.
  • Digital performance analytics experience across funnels, traffic sources, campaigns, landing pages, audience segments, customer journeys, and conversion outcomes.
  • Stakeholder management and collaboration with the ability to build trusted relationships across Marketing, Product, UX, Technology, and Analytics teams.
  • Technical fluency with large datasets, SQL, Python or R, business intelligence tools, and digital analytics platforms.
  • Curiosity and learning agility with a desire to understand customer behavior, market trends, emerging search capabilities, and new digital measurement approaches.

The Impact

Your work will help improve:

  • Public website engagement, usability, and content effectiveness
  • Customer acquisition, application starts, completions, account openings, and fundings
  • Channel performance, attribution, and acquisition efficiency
  • Conversion rate optimization, testing effectiveness, and personalization performance
  • Customer journey visibility across traffic sources, products, devices, and audience segments

Leadership decision-making through clearer performance storytelling and actionable recommendations

Basic Qualifications:

  • Bachelor's degree in Business, Economics, Decision Sciences, Statistics, Operations Research, Applied Mathematics, or Engineering.
  • A minimum of 1 year of experience in data mining, programming, or statistical analysis.

Preferred Qualifications

  • 3+ years of experience in financial services
  • Advanced degree in a related field
  • Experience with Adobe analytics, digital marketing analytics, conversion funnel analysis, and customer journey analytics.
  • Knowledge of consumer banking, business banking, account opening, lending applications, deposit growth, cross-sell, retention, and relationship deepening journeys.
  • Experience using SQL and at least one of Python/R
  • Experience translating analytical findings into business recommendations for cross-functional stakeholders.


Exempt Status: (Yes = not eligible for overtime pay) (No = eligible for overtime pay)

Yes

Applications Accepted Through:

12/31/2027

Huntington expects to accept applications through at least the date above, and may continue to accept applications until the position is filled.

Workplace Type:

Office

Our Approach to Office Workplace Type

Certain positions outside our branch network may be eligible for a flexible work arrangement. Weโ€™re combining the best of both worlds:  in-office and work from home. Our approach enables our teams to deepen connections, maintain a strong community, and do their best work. Remote roles will also have the opportunity to come together in our offices for moments that matter. Specific work arrangements will be provided by the hiring team.

Compensation Range:

Total Base Pay Range 70,000.00 - 140,000.00 USD Annual

The compensation range represents the anticipated low and high end of the base compensation range for this position. Actual compensation will vary based on various factors including but not limited to location, experience, and education. โ€ฏColleagues in this position are also eligible to participate in an applicable incentive compensation plan. โ€ฏIn addition, Huntington provides a variety of benefits to colleagues, including health insurance coverage, wellness program, life and disability insurance, retirement savings plan, paid leave programs, paid holidays and paid time off (PTO). 

Huntington is an Equal Opportunity Employer.

Tobacco-Free Hiring Practice: Visit Huntington's Career Web Site for more details.

Note to Agency Recruiters:  Huntington will not pay a fee for any placement resulting from the receipt of an unsolicited resume.  All unsolicited resumes sent to any Huntington colleagues, directly or indirectly, will be considered Huntington property. Recruiting agencies must have a valid, written and fully executed Master Service Agreement and Statement of Work for consideration.