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Intern Data Analytics Architect Jobs in Delaware

Athena LLC

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 ...

Athenago

Data Science Intern

Wilmington, DE

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 ...

Arka Infotech Inc

Data Architect

Wilmington, DE

$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 ...

Pittsburgh International Airport

$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 ...

JP Morgan Chase

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 ...

New

Photon

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 ...

Photon

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 ...

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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:
Intern Data Analytics Architect jobs near you

Finance Data and Insights Team - Data Domain Architect Lead

JPMorganChase

Wilmington, DE • On-site

$61.75 - $79.50/hr

Full-time

Re-posted 23 days ago

Job description

Job Summary:
JPMorganChase is a leading financial services firm dedicated to helping individuals and businesses achieve their financial goals. They are seeking a Data Domain Architect Lead for the Finance Data & Insights Team, responsible for transforming financial data into actionable insights and modernizing the data environment to support critical financial reporting functions.
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
Qualifications:
Required:
• 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:
• 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)
Company:
With a history tracing its roots to 1799 in New York City, JPMorganChase is one of the world's oldest, largest, and best-known financial institutions—carrying forth the innovative spirit of our heritage firms in global operations across 100 markets. Founded in 2000, the company is headquartered in New York, USA, with a team of 10001+ employees. The company is currently Late Stage.

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