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Banking Data Analyst Jobs in Delaware (NOW HIRING)

The ideal candidate will have strong expertise in data analysis, data quality, governance, and reference/master data management within financial services, banking, insurance, or large enterprise ...

Data Quality Analyst

Newark, DE · On-site

$87K - $138K/yr

DATA QUALITY ANALYST WHAT IS THE OPPORTUNITY? The Data Quality Analyst will be responsible for ... City National Bank was founded in 1954 by entrepreneurs for entrepreneurs and that legacy of ...

Barclays Bank Delaware seeks Finance Data Analysis AVP in Wilmington, DE (multiple positions available): * Utilize quantitative and qualitative analytical skills to provide financial and data ...

... analytics. • Build, fine-tune, and deploy ML models and LLMs for credit scoring, AML, and automation • Implement RAG-based GenAI applications using internal banking data • Develop scalable data ...

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Banking Data Analyst information

See Delaware salary details

$34K

$82.7K

$136.1K

How much do banking data analyst jobs pay per year?

As of Aug 14, 2026, the average yearly pay for banking data analyst in Delaware is $82,711.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,600.00 and $97,100.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a banking data analyst?

A Banking Data Analyst needs strong analytical skills, proficiency in statistics, and a background in finance, business, or a related quantitative field. Experience with SQL, Excel, data visualization tools like Tableau or Power BI, and possibly certifications such as CFA or data analytics credentials, is highly valued. Attention to detail, problem-solving abilities, and effective communication are crucial soft skills for interpreting data and presenting insights to stakeholders. These skills ensure accurate financial analysis, clear reporting, and the ability to influence decision-making in a fast-paced banking environment.

What types of projects or analyses do banking data analysts typically handle in their day-to-day work?

Banking Data Analysts are often tasked with analyzing large volumes of transaction data to identify trends, forecast financial performance, and support risk management efforts. Their daily work may include preparing regular reports for management, developing dashboards to monitor key metrics, and collaborating with departments like risk, compliance, and marketing to provide actionable insights. They may also participate in projects involving fraud detection, credit scoring, customer segmentation, or regulatory reporting. These responsibilities offer exposure to a wide variety of data-driven initiatives and opportunity to make a direct impact on business strategies.

What is a banking data analyst?

A Banking Data Analyst is responsible for collecting, processing, and analyzing financial data to help banks make informed business decisions. They use statistical models and data visualization tools to identify trends, assess risks, and improve operational efficiency. Their role involves working with large datasets, ensuring data accuracy, and providing insights that support regulatory compliance and business growth. Strong analytical skills, proficiency in data tools like SQL and Python, and an understanding of banking operations are essential for this role.

What are popular job titles related to Banking Data Analyst jobs in Delaware?

For Banking Data Analyst jobs in Delaware, the most frequently searched job titles are:

Infographic showing various Banking Data Analyst job openings in Delaware as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 14% Part Time, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $82,711 per year, or $39.8 per hour.

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Posted 14 days ago


Job description

Job Title: Data Analyst (Reference Data Management - RDM)

Location: Wilmington, DE (Onsite)
Employment Type: Full-Time


Position Summary

We are seeking a highly analytical and detail-oriented Data Analyst with Reference Data Management (RDM) experience to join our team in Wilmington, DE. The ideal candidate will have strong expertise in data analysis, data quality, governance, and reference/master data management within financial services, banking, insurance, or large enterprise environments. The role will focus on ensuring the accuracy, consistency, and integrity of enterprise reference data while supporting business stakeholders through insightful analysis and reporting.


Key Responsibilities
  • Analyze, validate, and maintain reference data across multiple business applications and enterprise platforms.
  • Perform data profiling, cleansing, reconciliation, and quality assessments.
  • Partner with business users and data stewards to define and implement data quality rules.
  • Monitor data quality metrics and proactively identify data discrepancies.
  • Support Reference Data Management (RDM) initiatives, governance frameworks, and data lineage activities.
  • Develop and maintain SQL queries, reports, dashboards, and analytical models.
  • Conduct root cause analysis for data issues and recommend corrective actions.
  • Collaborate with technology teams during data migrations, system implementations, and data integration projects.
  • Document business requirements, data mappings, data definitions, and process workflows.
  • Support regulatory reporting, audit requests, and compliance initiatives.
  • Participate in Agile ceremonies and contribute to sprint planning, backlog refinement, and stakeholder discussions.
  • Assist in establishing best practices around data governance, metadata management, and data stewardship.

Required Qualifications
  • Bachelor''s degree in Computer Science, Information Systems, Statistics, Finance, Mathematics, or related field.
  • 4+ years of experience as a Data Analyst, Business Data Analyst, or Data Management Analyst.
  • 2+ years of hands-on experience with Reference Data Management (RDM) or Master Data Management (MDM).
  • Strong SQL querying and data analysis skills.
  • Experience working with large datasets from multiple source systems.
  • Strong understanding of data governance, data quality, and data lifecycle management.
  • Experience with data mapping, reconciliation, and data lineage documentation.
  • Excellent problem-solving and analytical skills.
  • Strong stakeholder management and communication abilities.

Preferred Qualifications
  • Financial Services, Banking, Capital Markets, Insurance, or Wealth Management domain experience.
  • Experience with RDM/MDM tools such as:
    • Informatica MDM
    • GoldenSource
    • Alveo
    • Markit EDM
    • Reltio
    • Collibra
    • Ataccama
  • Experience with BI tools such as Power BI, Tableau, or Qlik.
  • Knowledge of ETL processes and data warehousing concepts.
  • Familiarity with Python, R, or data automation tools.
  • Experience working in an Agile/Scrum environment.

Technical Skills

Must Have

  • SQL
  • Data Analysis & Data Profiling
  • Reference Data Management (RDM)
  • Data Quality & Data Governance
  • Excel (Advanced)
  • Data Mapping & Reconciliation

Nice to Have

  • Power BI / Tableau
  • Python
  • Snowflake
  • Azure/AWS Data Services
  • Collibra / Informatica MDM
  • ETL Tools

Key Competencies
  • Analytical Thinking
  • Attention to Detail
  • Data Governance Mindset
  • Stakeholder Management
  • Problem Solving
  • Process Improvement
  • Effective Communication
  • Team Collaboration

Compensation & Benefits
  • Competitive Base Salary
  • Annual Bonus Eligibility
  • Medical, Dental, Vision Insurance
  • 401(k) with Company Match
  • Paid Time Off & Holidays
  • Career Growth Opportunities
  • Learning & Development Programs