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Banking Data Analyst Internship Jobs in Raleigh, NC

First Citizens Bank

Senior Enterprise Data Analyst

Raleigh, NC · On-site

$83K - $105K/yr

This position leads Bank initiatives that improve enterprise data quality, governance, reporting, and analytics at an advanced level of ability and technical expertise. Drives positive change across ...

First Citizens Bank

Senior Enterprise Data Analyst

Raleigh, NC · Remote

$83K - $105K/yr

This position leads Bank initiatives that improve enterprise data quality, governance, reporting, and analytics at an advanced level of ability and technical expertise. Drives positive change across ...

First Citizens Bank

Senior Enterprise Data Analyst

Raleigh, NC · Remote

$83K - $105K/yr

This position leads Bank initiatives that improve enterprise data quality, governance, reporting, and analytics at an advanced level of ability and technical expertise. Drives positive change across ...

First Citizens Bank

Senior Enterprise Data Analyst

Raleigh, NC · On-site

$83K - $105K/yr

This position leads Bank initiatives that improve enterprise data quality, governance, reporting, and analytics at an advanced level of ability and technical expertise. Drives positive change across ...

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All JobsBanking Data Analyst JobsBanking Data Analyst Internship JobsBanking Data Analyst Internship Jobs in Raleigh, NC

Banking Data Analyst Internship information

See Raleigh, NC salary details

$19

$43

$74

How much do banking data analyst internship jobs pay per hour?

As of Jul 29, 2026, the average hourly pay for banking data analyst internship in Raleigh, NC is $43.11, according to ZipRecruiter salary data. Most workers in this role earn between $29.66 and $53.75 per hour, depending on experience, location, and employer.

What is the difference between Banking Data Analyst Internship vs Banking Data Analyst?

AspectBanking Data Analyst InternshipBanking Data Analyst
Required CredentialsTypically pursuing or recent graduate in finance, economics, or related fieldsBachelor's degree in finance, economics, or related field; often requires some experience
Work EnvironmentInternship programs within banks or financial institutions, often temporaryFull-time role within banks, financial firms, or consulting companies
Employer & Industry UsageUsed by banks to train and evaluate potential future employeesUsed for ongoing data analysis, reporting, and decision support in banking

The main difference is that a Banking Data Analyst Internship is a temporary training position aimed at gaining experience, while a Banking Data Analyst is a full-time role with ongoing responsibilities. Internships often serve as a stepping stone to full analyst positions in the banking industry.

How do Banking Data Analyst Interns typically collaborate with other teams within a bank?

Banking Data Analyst Interns frequently work alongside teams such as risk management, compliance, IT, and business operations. They gather requirements from business stakeholders, help translate those needs into data-driven insights, and often present findings to non-technical colleagues. Collaboration may involve participating in meetings, sharing dashboards or reports, and supporting ongoing projects, which helps interns develop communication and teamwork skills critical for advancing in the banking sector.

What are the key skills and qualifications needed to thrive as a Banking Data Analyst Intern, and why are they important?

To thrive as a Banking Data Analyst Intern, you generally need strong analytical skills, a background in finance, statistics, or a related field, and proficiency in data analysis. Familiarity with tools such as Excel, SQL, and data visualization platforms like Tableau or Power BI, as well as knowledge of statistical programming languages like Python or R, is highly valuable. Attention to detail, effective communication, and a collaborative mindset are crucial soft skills for interpreting data and presenting insights to diverse teams. These competencies enable interns to accurately analyze financial data, support strategic decision-making, and contribute meaningfully to banking projects.

What is a Banking Data Analyst Internship?

A Banking Data Analyst Internship is a temporary, entry-level position where interns work within a bank's analytics or data department. Interns typically assist with collecting, cleaning, and analyzing financial data, generating reports, and supporting business decisions with data-driven insights. This role provides hands-on experience with data tools, financial datasets, and industry practices, helping interns build valuable skills for a career in banking or data analysis. Interns may also collaborate with different teams and learn about regulatory requirements specific to the banking sector.
What are popular job titles related to Banking Data Analyst Internship jobs in Raleigh, NC? For Banking Data Analyst Internship jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Banking Data Analyst Internship jobs in Raleigh, NC look for? The top searched job categories for Banking Data Analyst Internship jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Banking Data Analyst Internship jobs? Cities near Raleigh, NC with the most Banking Data Analyst Internship job openings:
Banking Data Analyst Internship jobs near you
Infographic showing various Banking Data Analyst Internship job openings in Raleigh, NC as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 81% Full Time, 11% Part Time, 1% Temporary, and 5% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $89,671 per year, or $43.1 per hour.
Principal Data Architect - General Bank, Commercial Bank & Digital Bank

Principal Data Architect - General Bank, Commercial Bank & Digital Bank

First Citizens Bank

Raleigh, NC • On-site

Full-time

Posted 3 days ago

First Citizens Bank rating

7.4

Company rating: 7.4 out of 10

Based on 106 frontline employees who took The Breakroom Quiz

109th of 170 rated banks

Job description

Overview
We are seeking a highly experienced Principal Data Architect to lead the end-to-end data architecture strategy, standards, and decision-making for the bank's General Bank, Commercial Bank, and Digital Bank domains. This role will serve as the accountable Data Architecture leader within ED&A for customer, relationship, account, product, channel, transaction, lending, deposits, payments, servicing, digital engagement, and operational banking data ecosystems.
The Principal Data Architect will define target-state data architecture, integration strategies, metadata and lineage expectations, domain-aligned data product designs, and enterprise data platform adoption patterns that enable trusted, reusable, scalable, and governed data across the bank. The role requires deep banking domain experience, strong understanding of commercial and digital banking processes, and the ability to translate complex business, regulatory, risk, operational, and customer experience requirements into durable data architecture outcomes.
This leader will partner with senior business, technology, data governance, risk, compliance, product, operations, digital, and ED&A stakeholders to ensure bank data is complete, controlled, fit-for-purpose, traceable, reusable, and aligned with enterprise data strategy and modern cloud data platform capabilities.
Responsibilities
  1. General Bank, Commercial Bank, and Digital Bank Data Architecture Leadership
  • Serve as the lead Data Architect for General Bank, Commercial Bank, and Digital Bank domains, establishing the architecture vision, target-state roadmap, standards, and guardrails for domain data assets.
  • Own and govern architecture decisions impacting customer, relationship, account, product, channel, transaction, lending, deposits, payments, servicing, digital engagement, and operational banking data domains.
  • Internal | Enterprise Data & Analytics
  • Define reusable architecture patterns, canonical integration approaches, domain data product standards, metadata expectations, and consumption patterns for enterprise use.
  • Partner with business executives and domain leaders to translate growth strategies, customer experience priorities, operational needs, risk expectations, and regulatory obligations into scalable data architecture solutions.
  • Participate in portfolio planning, solution design reviews, and architecture forums to ensure domain initiatives align with ED&A architecture strategy and enterprise data platform direction.
  1. Banking Domain Data Architecture
  • Lead architecture design for banking data ecosystems supporting customer 360, relationship management, onboarding, account servicing, product analytics, deposits, lending, payments, digital journeys, and operational analytics.
  • Ensure domain data architectures support completeness, accuracy, timeliness, traceability, privacy, security, access controls, and business interpretability.
  • Define source-to-consumption lineage patterns from core banking, loan origination, deposit, CRM, digital, payments, operations, and servicing platforms through enterprise data platforms and analytics products.
  • Govern architecture patterns supporting commercial portfolio insights, banker productivity, relationship profitability, customer engagement, product performance, operational efficiency, and executive reporting.
  • Drive consistency in critical banking data elements, reference data, business rules, customer/account/product relationships, hierarchies, and domain definitions in partnership with Data Governance and business data owners.
  • Partner with Commercial Banking, Digital Banking, Operations, Risk, Compliance, and Product teams to design data capabilities that meet business utility, regulatory, privacy, and control requirements.

  1. Data Governance, Quality, Lineage, Privacy, and Controls
  • Partner with Data Governance and domain leadership to define ownership, stewardship, accountability, metadata, certification, retention, and control expectations for critical data assets.
  • Drive architectural patterns that enable data quality measurement, data observability, exception management, control monitoring, issue remediation, and governed change management.
  • Ensure architectures capture and expose business, technical, and operational lineage for high-priority customer, account, transaction, lending, payments, servicing, and digital data flows.
  • Embed privacy, security, consent, entitlement, and responsible data use considerations into architecture designs, especially for customer and digital interaction data.
  • Support regulatory, audit, risk, compliance, and internal control expectations by embedding control points and evidence generation into data architecture designs.
  1. Platform, Integration, and Data Product Architecture
  • Define patterns for integrating banking source systems into enterprise data platforms using batch, streaming, event-driven, API, CDC, and file-based patterns where appropriate.
  • Guide data product teams on architecture patterns for reusable, governed, and high-value data products serving Commercial Banking, General Banking, Digital Banking, Risk, Compliance, Operations, analytics, and reporting consumers.
  • Ensure data products include clear ownership, data contracts, metadata, quality expectations, lineage, access controls, privacy classifications, consumption patterns, and service-level expectations.
  • Align domain architecture with modern cloud data platform capabilities, including scalable storage, transformation, orchestration, curated data layers, semantic consumption, access controls, and governed self-service analytics.
  • Promote reuse of enterprise capabilities and reduce redundant data stores, inconsistent business logic, unmanaged extracts, and point-to-point data movement.

  1. Digital and Customer Experience Data Enablement
  • Define architecture patterns for digital banking data, including web/mobile events, clickstream, customer journeys, digital adoption, authentication events, servicing interactions, alerts, notifications, and digital sales funnels.
  • Internal | Enterprise Data & Analytics
  • Support trusted data capabilities for customer personalization, digital experience measurement, marketing effectiveness, next-best-action, banker/client insights, and customer engagement analytics.
  • Ensure digital, CRM, servicing, and operational data are integrated in a governed way to support omni-channel customer understanding while respecting privacy, consent, and responsible use expectations.
  • Partner with Digital, Product, Marketing, Analytics, Risk, and Compliance stakeholders to align digital data architecture with customer experience, growth, fraud, security, and regulatory priorities.

  1. Architecture Governance and Executive Influence
  • Chair or contribute to architecture review forums for General Bank, Commercial Bank, and Digital Bank initiatives.
  • Provide expert consultation to senior business, technology, and ED&A leadership on data strategy, architecture trade-offs, platform adoption, and implementation sequencing.
  • Influence roadmap decisions across programs, products, and platforms to ensure alignment with target-state architecture.
  • Communicate complex architecture concepts in business terms and create decision-ready materials for senior stakeholders.
  • Mentor data architects, engineers, analysts, product owners, and platform teams; establish playbooks and reusable patterns that raise the maturity of ED&A delivery.

Qualifications
Bachelor's Degree and 10 years of experience in Application Development, Systems Engineering, or Information Technology management OR High School Diploma or GED and 14 years of experience in Application Development, Systems Engineering, or Information Technology management
Technology Experience
Desired experience with legacy and cloud data technologies such as Netezza, DataStage, SSIS, Denodo, AWS, Snowflake, DBT, Qlik Replicate, Astronomer, APIs, event streaming, CDC patterns, Power BI, Tableau, reporting platforms, analytics platforms, data catalogs, lineage tools, data quality tools, and governed self-service data consumption capabilities.
Domain Experience Required
The successful candidate must bring meaningful banking domain experience and be able to operate as a trusted architecture partner to Commercial Banking, General Banking, Digital Banking, Product, Operations, Risk, Compliance, and Technology stakeholders. Expected domain depth includes:
Commercial Banking and Relationship Data
  • Experience with commercial customer, prospect, relationship, household/entity, exposure, portfolio, banker assignment, relationship team, pipeline, opportunity, and client profitability data.
  • Understanding of commercial banking processes including relationship management, onboarding, credit initiation, covenant tracking, portfolio management, treasury management, deposits, payments, servicing, and cross-sell analytics.

General Banking, Deposits, Lending, and Payments
  • Experience with customer, account, product, balances, transactions, fees, interest, branch, contact center, servicing, disputes, card, ACH, wire, check, loan, collateral, and payment data.
  • Ability to align architecture across core banking, deposit, loan, payments, CRM, servicing, and operational platforms to support enterprise reporting and analytics.

Digital Banking and Customer Engagement
  • Experience with digital banking channels including mobile, online banking, web, digital servicing, authentication, clickstream, journey analytics, campaign response, digital sales, and customer interaction data.
  • Understanding of the architecture implications of omni-channel experience, customer 360, personalization, customer servicing, digital adoption, fraud signals, and consent-aware analytics.

Risk, Compliance, Privacy, and Operational Controls
  • Working knowledge of data requirements supporting KYC, AML, fraud, customer complaints, fair lending, privacy, consent, access controls, operational risk, and audit requests.
  • Ability to partner across Risk, Compliance, Legal, Data Governance, and business teams to align data architecture with regulatory expectations and responsible data use.

Preferred Qualifications
  • 15+ years of experience in Data Architecture, Data Engineering, Enterprise Data Management, Data Platforms, or related disciplines.
  • 7+ years of experience supporting Commercial Banking, Retail/General Banking, Digital Banking, Payments, Lending, Deposits, Customer, Product, Operations, Risk, or Compliance domains within a large financial institution or similarly regulated environment.
  • Demonstrated experience defining enterprise-scale data architectures for banking, digital, customer, commercial, operational, analytics, reporting, or governed data platform use cases.
  • Deep expertise in data integration, metadata management, data lineage, master/reference data, data quality, data privacy, data controls, and enterprise data governance.
  • Strong understanding of banking data ecosystems, customer/account/product relationships, channel interactions, transaction flows, servicing processes, regulatory considerations, and auditability expectations.
  • Experience designing and delivering cloud-native or modern data platform architectures, including ingestion, transformation, orchestration, curated data layers, APIs, event-driven data movement, CDC, and consumption patterns.
  • Proven ability to influence senior business and technology stakeholders and drive architecture decisions across complex, multi-team delivery environments.
  • Bachelor's or Master's degree in Computer Science, Information Systems, Engineering, Finance, Data Science, or a related field; equivalent experience may be considered.
  • Experience in a large regional, national, or global banking environment.
  • Hands-on familiarity with platforms and ecosystems such as Snowflake, AWS, Databricks, Azure, cloud object storage, orchestration tools, data catalogs, lineage tools, data quality platforms, API platforms, CRM platforms, and digital analytics platforms.
  • Experience implementing governed data products, certified datasets, customer 360, relationship analytics, commercial portfolio marts, digital engagement datasets, operational reporting layers, or source-to-consumption lineage capabilities.
  • Knowledge of banking processes and regulatory considerations related to KYC, AML, fraud, privacy, consent, fair lending, complaints, operational risk, and audit readiness.
  • Experience with domain-driven design, data product operating models, enterprise data governance, metadata management, and governed self-service analytics.
  • Architecture or data management certifications such as TOGAF, CDMP, DAMA, cloud certifications, or relevant platform certifications.

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Benefits are an integral part of total rewards and First Citizens Bank is committed to providing a competitive, thoughtfully designed and quality benefits program to meet the needs of our associates. More information can be found at https://jobs.firstcitizens.com/benefits.

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