1

Intern Data Analytics Architect Jobs (NOW HIRING)

Director of Data & Analytics Direct Reports: Health Information Technologists and Health Data Analysts Summary of Position The Lead Analytics Architect is responsible for leading the design ...

We're seeking an experienced Analytics Architect to help advance enterprise data strategy across ... Ensures data accuracy by utilizing strong technical acumen and diagnostic logic to support ...

We're seeking an experienced Analytics Architect to help advance enterprise data strategy across ... Ensures data accuracy by utilizing strong technical acumen and diagnostic logic to support ...

Analytics Architect

Kirkland, WA · On-site

$145K - $233K/yr

We're seeking an experienced Analytics Architect to help advance enterprise data strategy across ... Ensures data accuracy by utilizing strong technical acumen and diagnostic logic to support ...

Data / BI Analytics Architect

Manhattan, NY · On-site

$70.25 - $90.50/hr

Data Analytics Solutions Architect NYC, NY (Hybrid/Onsite) | Long-Term Contract Seeking a Data Analytics Solutions Architect with strong expertise in Power BI, Data Modeling, ETL/ELT, Data ...

Architect, Data & Analytics

$65.25 - $84/hr

The Role The Data & Analytics Architect will be responsible for designing, developing, and implementing data & analytics solutions that empower data-driven decision-making for our clients. This role ...

We're seeking an experienced Analytics Architect to help advance enterprise data strategy across ... Ensures data accuracy by utilizing strong technical acumen and diagnostic logic to support ...

next page

Showing results 1-20

Intern Data Analytics Architect information

See salary details

$11

$22

$38

How much do intern data analytics architect jobs pay per hour?

As of Jul 20, 2026, the average hourly pay for intern data analytics architect in the United States is $22.99, according to ZipRecruiter salary data. Most workers in this role earn between $18.27 and $26.68 per hour, depending on experience, location, and employer.

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 are hiring for Intern Data Analytics Architect jobs? Cities with the most Intern Data Analytics Architect job openings:
What are the most commonly searched types of Data Analytics Architect jobs? The most popular types of Data Analytics Architect jobs are:
What states have the most Intern Data Analytics Architect jobs? States with the most job openings for Intern Data Analytics Architect jobs include:
Google Analytics Architect

Google Analytics Architect

MM International

Atlanta, GA • On-site

Contractor

Re-posted 10 days ago


Job description

Google Analytics Architect

Atlanta, GA
 

We are seeking a strategic and results-driven Analytics Architect to spearhead our data analytics initiatives and deliver actionable insights that drive business performance. This role requires deep expertise in Google Big Query, GA4 (Google Analytics 4), and Looker dashboards, along with strong leadership and communication skills. The ideal candidate will manage a team of analysts, define data strategies, and ensure our analytics ecosystem is optimized for scalability and impact.

 

Key Responsibilities:

  1. Data Strategy Development:
    1. Define and implement the organization's data analytics strategy aligned with business goals.
    2. Identify and prioritize key analytics projects to optimize decision-making and performance.
  2. Team Leadership:
    1. Lead, mentor, and manage a team of analysts and data professionals.
    2. Foster a collaborative and innovative team environment.
  3. Data Analysis and Insights:
    1. Conduct advanced data analysis using BigQuery and other tools to uncover trends, opportunities, and potential risks.
    2. Provide actionable recommendations to stakeholders across departments.
  4. Tool and Technology Management:
    1. Oversee the selection, implementation, with a focus on GA4, BigQuery, and Looker
    2. Ensure data systems are scalable and optimized for business needs.
  5. Stakeholder Collaboration:
    1. Collaborate with cross-functional teams, including marketing, sales, operations, and product development, to address data needs.
    2. Present findings and insights in a clear and impactful manner to non-technical stakeholders.
  6. Data Governance:
    1. Establish and enforce data governance policies and practices.
    2. Ensure compliance with data security and privacy regulations.

 

Qualifications:

  1. Education:
    1. Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Business Analytics, or a related field.
  2. Experience:
    1. Proven experience (10+ years) in analytics, business intelligence, or a related domain.
    2. Prior experience in managing or leading teams is preferred.
  3. Technical Skills:
    1. Expertise in Google BigQuery, GA4, and Looker dashboards (mandatory).
    2. Strong knowledge of SQL, Python, R, or other data analysis/programming languages.
    3. Experience with big data technologies like Hadoop, Spark, or cloud platforms (AWS, GCP, Azure).
    4. Experience with Google Tag Manager and A/B testing tools (e.g., Optimizely).
  4. Soft Skills:
    1. Excellent problem-solving and critical-thinking skills.
    2. Strong communication and interpersonal skills to interact with stakeholders at all levels.
  5. Certifications (Preferred):
    1. Google Analytics 4 Certification, Looker Certification, or Google Cloud Data Analytics Certification..