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Treasury Liquidity Data Analyst

Huntington National Bank

Pittsburgh, PAFull-time$57–113K/yrSeen todaySeen in employer's feed today

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At a glance

Compensation
$57–113K/yr
Location
Pittsburgh, PA
Schedule
Full-time
Work Authorization
Not specified

Olive focuses on jobs in the United States, including remote roles you can work from there.

Job overview

The Treasury Liquidity Data Analyst reports to the Liquidity Manager and supports modernization of the team’s data, analytics, and operating capabilities. The role applies SQL, Python, automation, and AI to improve liquidity data and recurring analytics, while maintaining governance and human review. It also supports liquidity monitoring, forecasting, contingency funding, and regulatory reporting. The ideal candidate brings technical curiosity and a continuous-improvement mindset.

Skills & qualifications

RequiredNice to have

Skills

SQL, nice to havePython, nice to haveData Analysis, nice to haveData Automation, nice to havePandas, nice to haveNumPy, nice to haveJupyter, nice to haveGit, nice to haveData Pipelines, nice to haveData Reconciliation, nice to haveDashboard Development, nice to haveGenerative AI, nice to haveAPI Integration, nice to haveLarge Language Models, nice to haveRetrieval-Augmented Generation, nice to havePrompt Design, nice to haveAgent Frameworks, nice to haveProcess Improvement, nice to haveRequirements Translation, nice to haveTreasury, nice to haveLiquidity Risk, nice to haveAsset-Liability Management, nice to haveCash Flow Forecasting, nice to haveContingency Funding, nice to haveStress Testing, nice to haveRegulatory Reporting, nice to haveData Governance, nice to haveResponsible AI, nice to haveModel Risk, nice to haveInformation Security, nice to haveSoftware Development Controls, nice to haveChange Management, nice to haveMicrosoft Excel, nice to haveMicrosoft PowerPoint, nice to haveData Visualization, nice to haveBusiness Intelligence Tools, nice to have

Qualifications

Bachelor's in Listed or Related Field or Equivalent Education and Experience, required2+ Years Relevant Experience, required2-4 Years Relevant Professional Experience, nice to have

Benefits

Medical Insurance
401(k) Match
Paid Time Off

Full job description

Description

Summary:

The Treasury Liquidity Data Analyst reports to the Liquidity Manager and helps modernize the team's data, analytics, and operating capabilities. Working within the bank's first-line liquidity risk function, the analyst uses SQL, Python, automation, and applied artificial intelligence to improve how liquidity data is sourced, validated, analyzed, measured, and communicated. The role identifies manual or inefficient processes, develops scalable solutions, and strengthens recurring analytics and reporting through well-controlled automation. The analyst also builds and supports AI-enabled tools and agents that accelerate research, exception identification, documentation, and management reporting, while maintaining appropriate human review, data governance, information security, and change-control standards. Liquidity risk provides the business foundation for the role, and the successful candidate will develop an understanding of liquidity monitoring, cash flow forecasting, contingency funding, and balance-sheet behavior. The ideal candidate brings strong technical curiosity and a continuous-improvement mindset.

Duties & Responsibilities:

  • Use SQL and Python to source, combine, transform, validate, and analyze balance-sheet, deposit, funding, cash flow, and liquidity data from multiple systems.

  • Automate recurring workflows, reconciliations, controls, analysis, and management reporting to reduce manual effort, improve scalability, and ensure timely, repeatable execution.

  • Assess existing processes and data flows, identify root causes of inefficiency and data-quality issues, and implement practical, well-documented improvements with measurable outcomes.

  • Design, prototype, test, and maintain AI-enabled tools and agents that support research, data validation, exception identification, workflow orchestration, documentation, and insight generation.

  • Apply disciplined governance to data, automation, and AI solutions, including requirements documentation, source-to-output traceability, validation and testing, human review, access controls, change management, and ongoing performance monitoring.

  • Develop clear analytical outputs and visualizations that explain trends, exceptions, and key drivers to Treasury leadership and cross-functional partners.

  • Apply these capabilities to the team's core liquidity responsibilities, including liquidity monitoring and metrics, long-term cash flow forecasting, Contingency Funding Plan activities, control execution, and regulatory reporting support.

Basic Qualifications:

  • Bachelor's degree in Finance, Accounting, Economics, Data Analytics, Computer Science, Information Systems, Mathematics, Statistics, or a related field or an equivalent combination of education and experience.

  • Two or more years of relevant experience in data analytics, automation, financial analysis, Treasury, banking, financial risk, consulting, financial technology, or a related discipline.

Preferred Qualifications:

  • Two to four years of relevant professional experience in data analysis, process automation, financial datasets, or risk and Treasury applications.

  • Working proficiency with SQL and Python for data analysis and automation, including querying, reconciling, and validating data across datasets; using libraries and tools such as pandas, NumPy, Jupyter, and Git; and developing reusable, well-documented code and data-quality checks.

  • Experience building automated data pipelines, reconciliations, exception reports, dashboards, controls, or management information, and working with balance-sheet, deposit, funding, cash flow, general-ledger, or other financial datasets.

  • Practical familiarity with generative AI, including experience developing, prototyping, or supporting AI-enabled workflows or agents using Python, APIs, or approved enterprise tools, and exposure to large language models, retrieval-augmented generation, prompt design, or agent frameworks.

  • Demonstrated ability to evaluate manual or inefficient processes, translate business needs into technical requirements, and implement controlled, sustainable improvements.

  • Exposure to Treasury, liquidity risk, asset-liability management, cash flow forecasting, contingency funding, stress testing, or regulatory reporting.

  • Awareness of data governance, responsible AI, model risk, information security, software-development controls, or change-management practices in a regulated environment.

  • Proficiency with Microsoft Excel and PowerPoint, and familiarity with data visualization or business intelligence tools.

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

Yes

Workplace Type:

Office

Our Approach to Office Workplace Type

Certain positions outside our branch network may be eligible for a flexible work arrangement. We’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.

Huntington will not sponsor applicants for this position for immigration benefits, including but not limited to assisting with obtaining work permission for F-1 students, H-1B professionals, O-1 workers, TN workers, E-3 workers, among other immigration statuses. Applicants must be currently authorized to work in the United States on a full-time basis.

Compensation Range:

$57000-$113000 Annual Salary

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.  Colleagues in this position are also eligible to participate in an applicable incentive compensation plan.  In 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.

How this job compares

Set against the 5,076 open Data Analyst jobs on Olive Jobs, counted November 14, 2026.

Pay
  • This posting$57–113K/yr
  • Pennsylvania median$80–133K/yr86 salary ranges
  • US median$85–130K/yr3,432 salary ranges

This range's midpoint, $85K, is 21% below the Pennsylvania median midpoint ($108K) — in the middle half of Data Analyst salary ranges in Pennsylvania.

Openings
Olive Jobs lists 161 open Data Analyst jobs in Pennsylvania and 5,076 across the US. 8% of them nationwide are listed as remote or flexible.
Hiring the most in Pennsylvania
Experience
This posting asks for at least 2 years of experience; Data Analyst postings that state a minimum ask for 3 years at the median (4,007 postings).
Education
2,079 of the 5,076 open Data Analyst jobs (41%) ask for a bachelor's degree or higher.

Counted across the open, public US postings on Olive Jobs on November 14, 2026. Figures based on too few postings are left out.

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