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Intern Data Analytics Architect Jobs in Delaware

Collabera

Data Analyst

Newark, DE

Provide guidance to Data Stewards and Data Analysts to utilize Data Quality tools in in the ... Project management, Application Development, Information Architecture, and MS Excel/VBA experience ...

Photon

Data Engineer Lead

Newark, DE · On-site

Strong hands-on architecture experience with Snowflake or an equivalent enterprise data warehouse ... Relevant certifications (Snowflake SnowPro, AWS Data Analytics Specialty)

smart folks inc

BI Architect

Wilmington, DE · On-site

... in Data Modelling. Strong conceptual and analytical skills: SQL, Problem Solving, Performance tuning, Test case analysis Demonstrated competency in all phases of software development. Serves as a ...

City National Bank

Data Quality Analyst

Newark, DE · On-site

$87K - $138K/yr

... analytics applications and tool portfolio, data sourcing and integration methods. Understanding of data warehouse, ETL, data cleansing, and architecture. * Ability to write SQL queries, Python code ...

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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

Analytics Solutions Manager

JPMorgan Chase & Co.

Wilmington, DE • On-site

$130 - $160/hr

Other

Re-posted 26 days ago

JPMorgan Chase & Co. rating

8.0

Company rating: 8.0 out of 10

Based on 493 frontline employees who took The Breakroom Quiz

71st of 171 rated banks

Job description

As a Data & Analytics Solutions- Vice President within the Finance Data and Insight (FDI) product group, you execute on Data and Analytical Solution related Product development strategy and outcomes for Marketing Finance Area Product.

Job Responsibilities
  • Executes on Data and Analytical Solution related Product development strategy and outcomes for product, complexity/dependency, risk/compliance and internal/external customer experience impact
  • Plan and executes Product delivery roadmaps aligned to overall Product vision using careful analysis of customer needs, competitive intelligence, data/analytics, firm’s capabilities and financials
  • Coordinate with Business stakeholders to analyze business requirement and build the backlog for Tech for development.
  • Facilitate collaboration with cross-functional product and area product leads. Engages and leverages key product group partners (Design, Data Owner, Tech Architect, Engineering, Data/Analytics etc.) early enough and often in the area product development strategy and provides access to customers to deliver value.
  • Partners on software product development and tech build to create quality and scalable features/solutions including contributing to team through the writing of user stories
  • Executes area product workflow through JIRA. Prioritizes and sequences backlog considering audit/controls, data landscape, data center migration, resiliency, etc., coordination of release dates and is responsible for area backlog and health as part of overall product.
  • Understanding of underlying technology that drives product. This includes ownership for tech assets needed for product development (full view expectation to help drive end-to-end ownership and the assumption of the tech debt that builds up over time based on decision making)
  • Lead & develop AI / ML and Agentic Solution delivery
  • Mange stakeholder expectation, roadmap planning, priority setting, Management reporting.
  • Design and implement comprehensive and efficient data product / data mart / Analytical solution that consolidate key data categories from various source systems, tailored to the needs of the Marketing Finance & Business Management functions.
Required qualifications, capabilities and skills
  • 12+ years of broad Product Management, Data Product Management and Analytics Solutions
  • Bachelor’s Degree in Computer Science, Information Systems, Finance MIS, or related field
  • Experience in managing complex Product leveraging complex data and models in a fast-paced, dynamic environment.
  • Ability to set and manage accountabilities and expectations at all levels - team members, peers, business partners and senior management
  • Strong track record of leading dynamic team, delivering challenging initiatives using expert-level program/product/function management skillset
  • Proven leadership and influencing skills and ability to collaborate across a highly matrix organization
  • Experience in designing and implementing scalable and efficient data mart architectures, including star schema, snowflake schema, and other data modeling techniques.
  • Exposure to statistical techniques such as regression, hypothesis testing, time series analysis, and clustering to analyze business data and uncover insights.
  • Good understanding of P&L / Finance in general. Understanding of Credit Card Business will be added advantage.
Preferred Qualifications
  • Demonstrated Senior leadership in terms of attitude, initiative and inclusivity
  • Product Management Experience
  • Experience with Python, Databricks, Snowflake, or other Cloud Data Warehouse, Data Engineering, Data Modeling, ERWIN
  • Agile backlog management tools (JIRA, Confluence)
  • Added advantage to have ThoughtSpot, Tableau, Alteryx, or Essbase experience
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