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Internship Shopify Data Analyst Jobs in Minnesota

Siemens

$22 - $24/hr

... or Data Analyst for Siemens. What is the FLDP Internship: The Finance Internship is a 12-week ... summer internship program that allows the opportunity to experience the day-to-day functions of a ...

Siemens

$22 - $24/hr

... or Data Analyst for Siemens. What is the FLDP Internship: The Finance Internship is a 12-week ... summer internship program that allows the opportunity to experience the day-to-day functions of a ...

Siemens

$22 - $24/hr

... or Data Analyst for Siemens. What is the FLDP Internship: The Finance Internship is a 12-week ... summer internship program that allows the opportunity to experience the day-to-day functions of a ...

Siemens

$22 - $24/hr

... or Data Analyst for Siemens. What is the FLDP Internship: The Finance Internship is a 12-week ... summer internship program that allows the opportunity to experience the day-to-day functions of a ...

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All JobsShopify Data Analyst JobsInternship Shopify Data Analyst JobsInternship Shopify Data Analyst Jobs in Minnesota

Internship Shopify Data Analyst information

What does an internship Shopify Data analyst do?

An Internship Shopify Data Analyst assists in collecting, analyzing, and interpreting data related to online sales, customer behavior, and business performance on the Shopify platform. They use various tools to create reports and visualizations that help identify trends and support business decisions. Interns often work with teams to improve data accuracy and provide actionable insights that can help optimize the online store's performance. This role is ideal for students or recent graduates looking to gain practical experience in e-commerce analytics.

What types of projects and data sets do Shopify Data analyst interns typically work on, and how do these experiences contribute to skill development?

Shopify Data Analyst interns often work on projects involving e-commerce analytics, customer behavior tracking, and sales performance reporting. Interns commonly analyze large datasets using tools like SQL, Python, and Tableau, collaborating closely with product managers, engineers, and other analysts. These experiences help interns develop strong technical, problem-solving, and communication skills while gaining practical knowledge of business intelligence in a fast-paced tech environment. Exposure to real-world e-commerce data prepares interns for advanced roles in analytics and provides valuable insights into the online retail industry.

What are the key skills and qualifications needed to thrive as an internship Shopify Data analyst, and why are they important?

To excel as an Internship Shopify Data Analyst, you generally need a background in statistics, data analysis, and familiarity with e-commerce concepts, often supported by coursework in data science or a related field. Proficiency with tools like Excel, SQL, and Shopify analytics, as well as experience with data visualization platforms such as Tableau or Power BI, is typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help interns interpret data and share actionable insights with teams. These competencies are crucial for transforming raw data into valuable business recommendations that support decision-making and improve online store performance.

What are the most commonly searched types of Shopify Data Analyst jobs in Minnesota?

The most popular types of Shopify Data Analyst jobs in Minnesota are:

What cities in Minnesota are hiring for Internship Shopify Data Analyst jobs?

Cities in Minnesota with the most Internship Shopify Data Analyst job openings:

Internship Shopify Data Analyst jobs near you

Data Engineer with power bi and Shopify data

Amaze Systems Inc

Edina, MN • On-site

$118K - $142K/yr

Other

Posted 14 days ago

Job description

Hi,
 

Title: Data Engineer

Location: Hybrid 4 days onsite in Edina, MN.

Client is ideally seeking a Data Engineer with leadership qualities that comes from a retail background. Must haves include strong ETL/ELT skills, SSRS, and Power BI. Having ML and/or AI experience is a bonus.

Position Overview:

The Senior Data Solutions Engineer will lead the design, development, and optimization of scalable data infrastructure and enterprise reporting solutions. This role bridges technical data engineering with actionable business intelligence, ensuring that the organization’s data assets are accurate, reliable, and strategically aligned to drive business decisions.

You will lead BI developers and Data Engineers and foster a collaborative culture of innovation, accountability, and continuous improvement across product teams, analytics and reporting initiatives.

Key Responsibilities

Leadership & Team Mentoring

  • Lead, mentor, and develop a team of data engineers and BI developers.
  • Communicate business priorities, define goals, and establish clear KPIs to track performance and delivery.
  • Foster a collaborative and learning-oriented culture across technical and business functions.

Data Engineering

  • Design, build, and maintain scalable and efficient data pipelines and integrations across multiple internal and external systems.
  • Oversee ETL/ELT processes ensuring data accuracy, reliability, and timeliness.
  • Manage data models and data warehouse structures optimized for reporting, analytics, and advanced use cases (e.g., predictive modeling, machine learning).
  • Implement best practices in data architecture, automation, and version control (e.g., Git).

Business Intelligence & Reporting

  • Oversee the design and delivery of SSRS and Power BI dashboards, ensuring usability and alignment with business goals.
  • Establish and manage data visualization standards, reusable datasets, and semantic models for self-service analytics.
  • Collaborate with business stakeholders to gather requirements and translate them into technical specifications and BI solutions.

Data Governance & Quality

  • Implement and enforce governance policies around data definitions
  • Ensure data validation, auditing, and reconciliation processes are automated and transparent.

Cross-Functional Collaboration

  • Partner with product managers to align on priorities and business leaders to enable data-driven decisions.
  • Communicate complex data concepts in a clear, actionable way for both technical and non-technical audiences.

Core Competencies

  • Strategic Thinking: Balances short-term delivery with scalable, long-term architecture.
  • Leadership: Inspires and mentors cross-functional teams, fostering accountability and curiosity.
  • Analytical Agility: Translates complex data into clear insights and business recommendations.
  • Collaboration: Builds strong relationships with business and technology partners.
  • Execution: Delivers reliable, high-quality data solutions under tight timelines
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About Amaze Systems

Sourced by ZipRecruiter

We strive to be the very best in our industry. We're the Best IT Specialists. We value our clients and their trust in us and hence, Our IT & Web Consultants don't hesitate to move mountains to give them high quality & innovative digital strategies, without resting, till they get the brand of their dreams. Our impeccable digital executions has helped several businesses multiply and increase their business enquiries substantially over years making us one of the most preferred online partners.

Industry

It services

Company size

501 - 1,000 Employees

Headquarters location

Dallas, TX, US

Social media

Twitter

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