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Intern Data Analytics Architect Jobs in Delaware

Role Overview The Data Science Intern will help us to understand the performance of Executive ... Analyze large and diverse datasets (e.g. client requirements, XP performance metrics) to uncover ...

Role Overview The Data Science Intern will help us to understand the performance of Executive ... Analyze large and diverse datasets (e.g. client requirements, XP performance metrics) to uncover ...

Data Architect

Wilmington, DE · On-site

$61.75 - $79.50/hr

Wilmington, DE Length: 2 years F2F REQUIRED - 5-7 years prior data analyst experience required - 5+ ... and architecture to cross functional groups and senior levels - Ability to influence multiple ...

$59.75 - $76.75/hr

A Data Architect with the ACAA must have extensive experience withcloud-first data management ... Collaborate closely with the data analysts,datasciencespecialists, and IoT engineers to understand ...

Data Domain Architect Associate

Wilmington, DE · On-site

$61.75 - $79.50/hr

You are analytical, data-driven, and technical. You have strong communication skills and are able ... As a Data Domain Architect Associate on the CCB Finance Data & Insights Team, you will assist in ...

Data Architect

Newark, DE · On-site

$62.50 - $80.50/hr

... analytical vs. operational usage Serve as a thought partner to the client's internal data architect on all foundational data decisions Must-have skills 10+ years in data architecture roles Deep ...

Quant Analytics Manager

Wilmington, DE · On-site

$133K - $205K/yr

... data models and analytics architecture . Required Qualifications, Capabilities, and Skills * Masters or Bachelors degree in a quantitative field with (e.g., Computer Science, Operations Research ...

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Intern Data Analytics Architect information

What does an Intern Data Analytics Architect do?

An Intern Data Analytics Architect assists in designing, building, and maintaining data analytics systems and infrastructure under the guidance of senior data professionals. Their responsibilities often include supporting data modeling, helping to optimize data storage and retrieval, and collaborating with teams to ensure data solutions meet organizational needs. Interns may also help document workflows, test analytics tools, and learn about industry best practices. This role provides hands-on experience in data architecture and analytics, preparing interns for advanced roles in data science and engineering.

What is the difference between Intern Data Analytics Architect vs Data Analyst Intern?

AspectIntern Data Analytics ArchitectData Analyst Intern
Required CredentialsBasic knowledge of data architecture, SQL, and analytics toolsBasic understanding of data analysis, Excel, and visualization tools
Work EnvironmentAssists in designing data systems, working with data engineersSupports data analysis projects, creating reports and dashboards
Employer & Industry UsageUsed in tech, finance, and consulting firms focusing on data infrastructureCommon in marketing, finance, and business sectors for data insights

The Intern Data Analytics Architect role focuses on supporting the design and implementation of data systems, requiring knowledge of data architecture and analytics tools. In contrast, a Data Analyst Intern primarily analyzes data sets to generate reports and insights. Both roles are entry-level internships but differ in their focus—one on data infrastructure, the other on data interpretation.

What are the key skills and qualifications needed to thrive as an Intern Data Analytics Architect, and why are they important?

To thrive as an Intern Data Analytics Architect, you need a solid understanding of data modeling, analytical methods, and basic programming—often backed by coursework or a degree in computer science, information systems, or a related field. Familiarity with data analytics tools like SQL, Python, and visualization platforms such as Tableau or Power BI, along with cloud services (e.g., AWS or Azure), is typically required. Strong problem-solving abilities, attention to detail, and effective communication set standout candidates apart in collaborative, data-driven environments. These skills and qualities are essential for designing robust analytics solutions that turn complex data into actionable insights for organizational decision-making.

What kinds of projects and responsibilities can an Intern Data Analytics Architect expect to work on?

As an Intern Data Analytics Architect, you will typically assist in designing and implementing data models, supporting the development of ETL (Extract, Transform, Load) pipelines, and helping to optimize data storage solutions. You may collaborate closely with senior architects, data engineers, and business analysts to ensure that data structures align with company objectives and best practices. Interns often gain hands-on experience with cloud platforms, data visualization tools, and modern analytics frameworks, making this a valuable opportunity to build foundational skills for a career in data architecture.
What cities in Delaware are hiring for Intern Data Analytics Architect jobs? Cities in Delaware with the most Intern Data Analytics Architect job openings:

Finance Data and Insights Team - Data Domain Architect Lead

JPMorgan Chase & Co

Wilmington, DE • On-site

$61.75 - $79.50/hr

Full-time

Medical, Retirement

This job post has expired 1 day ago. Applications are no longer accepted.


JPMorgan Chase & Co. rating

8.0

Company rating: 8.0 out of 10

Based on 492 frontline employees who took The Breakroom Quiz

70th of 170 rated banks


Job description

Are you a skilled data professional with a passion to transform raw data into actionable insights, and a demonstrated history of learning and implementing new technologies?  The Finance Data & Insights Team is an agile product team responsible for the development, production, and transformation of Financial data and reporting across Consumer and Community Banking (CCB).  Our vision is to improve the lives of our people and increase value to the firm by leveraging the power of our data and the best tools to analyze data, generate insights, save time, improve processes & control, and lead the organization in developing skills of the future. 


As a Data Domain Architect Lead in the CCB Finance Data & Insights Team, you will partner closely with Controllers, Basel Measurement & Analytics (BM&A), Planning & Analysis (P&A), and Technology/MIS to deliver accurate, timely, and well-controlled financial data outcomes.   You will identify opportunities to eliminate manual processes and utilize modern automation tools, and partner with our Information Technology partners for system enhancements.  

You will play a key role in modernizing the data environment supporting Finance Data & Insights (FDI) deliverables within the Risk Weighted Assets Actuals process, streamlining data consumption and outputs as processes transition from legacy platforms to modernized solutions. In parallel, you will support the team's business-as-usual execution across the Risk Weighted Assets, CCAR, and Earnings/Press Release cycles, ensuring results align to requirements and expected outcomes. 

Job Responsibilities

  • Contribute to the transformation and modernization of our data environment to serve the analytical and reporting needs of the Risk Weighted Assets Actuals reporting function
  • Execute and take ownership of operational processes with an emphasis on accuracy and timeliness of meeting deliverables on prescribed timetables / calendars 
  • Identify hidden problems and patterns in data proactively and use those insights to drive process improvements 
  • Motivate and coach a highly skilled cross functional team to ensure optimal performance and consistent delivery against priorities and timelines
  • Partner with the Technology Team to design and deliver data products that brings together essential data categories to enable the Finance function to support their analytical and reporting needs

  • Work with IT to migrate to production the developed solutions and as an SME/escalation point for the deployed solutions
  • Work closely with end-users/IT during the UAT phase of the project and validate that production results comply with business requirements and expected results
  • Provide a high level of responsiveness to ad-hoc requests, "what-if" scenario data analytics, and regulatory inquiries
  • Become a subject matter expert in our financial reporting platforms and support team members in becoming more proficient themselves

Required qualifications, capabilities, and skills 

  • Bachelor's degree in MIS, Computer Science, Finance, Accounting, or other related area with relevant work experience
  • 5+ years of experience in data analytics, architecture, or financial reporting systems
  • Experience with business intelligence analytics and data wrangling tools such as Alteryx, SAS, or Python
  • Experience with relational databases optimizing SQL to pull and summarize large datasets, report creation and ad-hoc analyses
  • Data Quality Management: Understanding of strategies and tools for data profiling, cleansing, and validation to maintain high data quality
  • Domain Knowledge: Deep understanding of the specific industry or business domain in which the organization operates
  • Demonstrated experience delivering process improvement or automation
  • Highly motivated, self-directed, curious to learn new technologies, strong team player
  • Strong analytical and problem-solving ability; Excellent written and verbal communication skills
  • Experience in reporting development and testing, and ability to interpret unstructured data and draw objective inferences given known limitations of the data
  • Strong knowledge and experience with data management, data lineage, data dictionaries, and making data discoverable

Preferred qualifications capabilities, and skills 

  • Experience with Hive, Spark SQL, Impala or other big-data query tools
  • Experience with modern gen AI tools such as ChatGPT, Genie, and/or Spotter
  • Strong knowledge and experience with data management, data lineage, data dictionaries, and making data discoverable
  • Experience with ThoughtSpot
  • AWS, Databricks, Snowflake, or other Cloud Data Warehouse experience
  • Hyperion Essbase cube design and administration experience
  • Experience eliminating user tools, saving time, and increasing ability to generate insights through data, dashboards, and developing new capabilities
  • Proficient user of the Microsoft Office Suite (primarily Excel)

For this particular role, we are unable to sponsor any type of work visa including but not limited to H1B, H4 - EAD, OPT,  E3, TN, or L visas.

This role does not have a relocation allowance tied to it, so all candidates must be local to Wilmington, DE office or willing to relocate on their own immediately upon hiring.

Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs. 

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions.  We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. 

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

Equal Opportunity Employer/Disability/Veterans

Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions - all while ranking first in customer satisfaction.

The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.

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