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Data Analyst Internship Jobs in Rochester Hills, MI

Masco Corporation

Business Data Analyst

Livonia, MI · On-site

The Business Data Analyst is also the operational steward of product attribution providing hands-on hierarchy management during platform build-out, evolving into a hierarchy-evolution partnership ...

Hart

Junior Data Analyst

Detroit, MI · On-site

RESPONSIBILITIES • Analyze performance data across social media and marketing campaigns (paid and organic) • Create client-facing reports in PowerPoint or other programs, showcasing trends ...

Canopy

Senior Data Analyst

Detroit, MI · On-site +1

$96K - $132K/yr

As a Senior Data Analyst reporting to the Team Manager of Core AI and Data, you will spearhead the design, development, and implementation of cutting-edge machine learning models and algorithms to ...

Canopy

Senior Data Analyst

Detroit, MI · Remote

$96K - $132K/yr

As a Senior Data Analyst reporting to the Team Manager of Core AI and Data, you will spearhead the design, development, and implementation of cutting-edge machine learning models and algorithms to ...

Rock Connections

Senior Data Analyst - Product

Detroit, MI

$85K - $107K/yr

As a Senior Data Analyst for Rocket Loans, you'll be a strategic partner to our leadership, collecting, analyzing, and reporting on data that drives operational excellence. You'll work closely with ...

Tech Tammina LLC

Jr. IT Data Analyst

Warren, MI · On-site

Role: Jr. IT Data Analyst Location: Warren, MI Duration: Long term Rate: Market Required Qualifications: * Experience working with big data in a cloud environment , particularly Azure and Databricks

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Data Analyst Internship information

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How much do data analyst internship jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for data analyst internship in Rochester Hills, MI is $20.71, according to ZipRecruiter salary data. Most workers in this role earn between $15.91 and $22.55 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in a data analyst internship, and why are they important?

To thrive as a Data Analyst Intern, you need a solid grounding in statistics, data interpretation, and problem-solving, often backed by coursework or a degree in fields like mathematics, computer science, or economics. Familiarity with tools such as Microsoft Excel, SQL databases, and data visualization software like Tableau or Power BI is highly valuable. Attention to detail, effective communication, and a willingness to learn are essential soft skills for success in this position. These competencies are crucial for accurately analyzing data, drawing insights, and clearly presenting findings to support business decisions.

What typical projects or responsibilities might I have as a data analyst intern?

As a Data Analyst Intern, you'll likely work on tasks such as cleaning and organizing raw data, running analysis to identify trends or patterns, and assisting with the creation of reports and data visualizations for your team. You may collaborate closely with senior analysts or cross-functional teams to support ongoing projects and business initiatives. Interns commonly get exposure to real-world datasets, participate in team meetings, and sometimes contribute to presentations or process improvement efforts. This hands-on experience is designed to help you develop both your technical and analytical skills while gaining insight into the role of data in business decision-making.

What is a data analyst internship?

A Data Analyst Internship is a temporary position where interns gain hands-on experience in collecting, organizing, and analyzing data to support business decisions. Interns typically work with large datasets, use tools like Excel, SQL, and Python, and create reports or visualizations. The role helps develop technical skills, analytical thinking, and an understanding of how data-driven insights impact an organization. It is a great opportunity for students or recent graduates to apply theoretical knowledge in a real-world setting.

What are the most commonly searched types of Data Analyst jobs in Rochester Hills, MI? The most popular types of Data Analyst jobs in Rochester Hills, MI are:
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Data Analyst Internship jobs near you
Infographic showing various Data Analyst Internship job openings in Rochester Hills, MI as of July 2026, with employment types broken down into 26% Internship, and 74% Full Time. Highlights an 100% In-person job distribution, with an average salary of $43,086 per year, or $20.7 per hour.

Business Data Analyst

Masco Corporation

Livonia, MI • On-site

Full-time

Posted 8 days ago

Masco rating

7.7

Company rating: 7.7 out of 10

Based on 15 frontline employees who took The Breakroom Quiz

Job description

Reporting to the Technical Product Owner, Enterprise POS, the Business Data Analyst role translates business questions from the Business Units, CoEs, CoCs, and Global Business Solutins into well-formed requirements and user stories and serves as the platform's first line of quality by profiling sources, developing test cases, and running QA and UAT before anything reaches enterprise release. The Business Data Analyst is also the operational steward of product attribution providing hands-on hierarchy management during platform build-out, evolving into a hierarchy-evolution partnership with the Enterprise Data Architect as the governed masters mature.
What You'll Own
Business Requirements & User Stories
  • Translate business questions from BUs, Commercial Excellence, Finance, Supply Chain, and other key partners into data and reporting requirements.

  • Write business-facing user stories with testable acceptance criteria.

  • Document business logic, metric definitions, and data dictionaries for assigned domains.

  • Maintain traceability from business requirements to delivered assets.

Data Profiling, QA & UAT
  • Profile new and existing data sources using SQL and built-in profiling tooling for completeness, consistency, and fitness for intended business use.

  • Develop test cases and acceptance criteria for POS data products, maintained as permanent regression sets.

  • Execute QA and UAT, reconciling metrics against trusted baselines before enterprise release.

  • Surface profiling and QA findings to the Technical Product Owner, Enterprise Data Architect and delivery leads as the evidence base for governance discussions and decisions.

Demand Shaping & Enterprise Asset Reuse
  • Evaluate business requests against existing assets championing data product reuse.

  • Feed prioritized demand and use cases to the Technical Product Owner with clear business context.

  • Participate in intake triage and discovery spikes for unprofiled sources.

Attribution & Hierarchy Stewardship
  • Actively manage product hierarchies and attribution mappings during platform build-out, serving as operational owner of current-state attribution.

  • Serve as the analytics-facing consumer of the governed masters and attribution crosswalk, surfacing gaps to the Enterprise Data Architect.

  • Partner with the Enterprise Data Architect on product hierarchy evolution including category changes, item onboarding gaps, and rules needing revision, with changes approved through the Architect's change process.

  • Validate downstream impact of hierarchy and attribution changes before they are promoted.

Support BU Platform Configuration
  • Configure BU-specific data and reporting views within the enterprise POS platform to solve challenges where a standard or common solution is not feasible.

  • Partner with the BI Delivery Leader to keep BU views aligned to the enterprise foundation.

  • Analyze usage and feedback to recommend enhancements or retirement.

Documentation & Knowledge Management
  • Own requirements, user stories, test cases, UAT results, and data dictionaries for assigned domains.

  • Document attribution and hierarchy decisions made during transitional stewardship so tribal knowledge is codified, not recreated.

  • Contribute definitions and business logic to the enterprise knowledge base.

  • Champion a "documented once, reused everywhere" culture from the demand side.

Required Qualifications
Education & Experience
  • Bachelor's degree or higher in a related field, or equivalent professional experience.

  • Substantial experience as a business or data analyst in an analytics environment, with demonstrated requirements-to-delivery ownership.

  • Proven experience developing and executing structured QA and UAT for data products.

  • Experience working directly and autonomously with stakeholders across multiple business functions.

Skills & Competencies
  • Rigorous and evidence-driven. Treats reconciliation against trusted baselines as the standard of proof.

  • Clear, precise writer of requirements, stories, and acceptance criteria.

  • Comfortable operating with significant autonomy across competing stakeholder groups.

  • Curious about the "why" behind business questions; skilled at shaping raw asks into well-formed demand.

  • Patient, effective enabler of self-serve business users.

Technical Knowledge
  • Strong SQL for independent data profiling, reconciliation, and QA.

  • Power BI proficiency sufficient to build governed self-serve views on an enterprise semantic layer.

  • Familiarity with product hierarchies and master data concepts.

  • Working knowledge of Agile story and backlog tooling (Azure DevOps, Jira, or similar).

  • Understanding of data quality and testing practices for data products.

Preferred Qualifications
  • Retail, POS, or syndicated data experience strongly preferred.

  • Experience with data profiling or quality tooling and test frameworks.

  • Exposure to Python for analysis.

  • Prior experience supporting product attribution, item mapping, or hierarchy management.

Company: Masco
Full time
Hiring Range: $76,400.00 - $120,010.00 USD
Actual compensation may vary based on various factors including experience, education, geographic location, and/or skills.
Masco Corporation (the "Company") is an equal opportunity employer and we strive to employ the most qualified individuals for every position. The Company makes employment decisions only based on merit. It is the Company's policy to prohibit discrimination in any employment opportunity (including but not limited to recruitment, employment, promotion, salary increases, benefits, termination and all other terms and conditions of employment) based on race, color, sex, sexual orientation, gender, gender identity, gender expression, genetic information, pregnancy, religious creed, national origin, ancestry, age, physical/mental disability, medical condition, marital/domestic partner status, military and veteran status, height, weight or any other such characteristic protected by federal, state or local law. The Company is committed to complying with all applicable laws providing equal employment opportunities. This commitment applies to all people involved in the operations of the Company regardless of where the employee is located and prohibits unlawful discrimination by any employee of the Company.
Masco Corporation is an E-Verify employer. E-Verify is an Internet based system operated by the Department of Homeland Security (DHS) in partnership with the Social Security Administration (SSA) that allows participating employers to electronically verify the employment eligibility of their newly hired employees in the United States. Please click on the following links for more information.
E-Verify Participation Poster: English & Spanish
E-verify Right to Work Poster: English, Spanish

What Masco employees say

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About Masco

Sourced by ZipRecruiter

Our founder, Alex Manoogian, arrived in the United States in 1920 with $50 in his pocket and a relentless drive to make a better life for himself and his family. Decades later, that drive continues to permeate every aspect of our business. We believe in better living possibilities—for our homes, our environment and our community. Across our businesses and geographies, we seek out these possibilities to grow ourselves, enhance our consumers’ lives, create long-term value for our shareholders and improve the world around us. As a family of companies, we share a strong ethical culture and continuous improvement mindset driven by people and backed by an operating system designed to leverage our scale.

Industry

Building materials and garden equipment dealers

Company size

10,000+ Employees

Headquarters location

Livonia, MI, US

Year founded

1929

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