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Entry Level Business Data Analyst Jobs in Michigan

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 ...

Stellantis

Ensure analytics outputs are clear, accurate, and aligned with business definitions​ * Data ... Self-motivated, resourceful, and organized in managing complex work Employment Type Entry Level ...

Stellantis

Data Analyst / Front End

Auburn Hills, MI · On-site

Ensure analytics outputs are clear, accurate, and aligned with business definitions​ * Data ... Self-motivated, resourceful, and organized in managing complex work Employment Type Entry Level ...

AirLife

Data Analyst

Grand Rapids, MI · On-site

$65K - $80K/yr

This growth philosophy has positioned us to increase our global footprint and business reach ... POSITION SUMMARY The Data Analyst develops and manages reporting and analytics solutions that ...

New

FastTek

Data Analyst

Okemos, MI

The analyst will work across the full data lifecycle--from transforming raw data into analytics-ready datasets to enabling business insights through Tableau. * This role requires hands-on experience ...

Stellantis

Data Analyst / Front End

Auburn Hills, MI · On-site

The role focuses on turning data into usable, consumable insights and tools, aligned with business ... Analytics & Front-End Development * Build dashboards, reports, and front-end data applications ...

Tech Tammina LLC

Data Analyst II

Jackson, MI · On-site

Role: Data Analyst II Location: Jackson, MI (Onsite/ Hybrid) Duration: Long term Rate: Market ... business needs and can be translated into actionable insights. · Maintain and manage data ...

LHH US

Accounting Data Analyst

Grand Rapids, MI

We are seeking a detail-oriented Accounting Data Analyst to support financial reporting, accounting operations, and business decision-making through data analysis and insights. This role will partner ...

LHH US

Accounting Data Analyst

Grand Rapids, MI

We are seeking a detail-oriented Accounting Data Analyst to support financial reporting, accounting operations, and business decision-making through data analysis and insights. This role will partner ...

Masco Corporation

Data Analyst, Procurement

Livonia, MI · On-site

$49K - $77K/yr

Conduct ad hoc analysis to support business questions and reporting needs * Partner with COE and cross-functional collaborators to improve analytics processes, data flow, and reporting capabilities

DATAMAXIS

Analytics Engineer/Data Analyst

Okemos, MI · On-site

Collaborate with business stakeholders and technical teams to gather requirements and translate ... Create and maintain documentation for data models, business logic, transformations, and validation ...

DATAMAXIS

Analytics Engineer/Data Analyst

Okemos, MI

Collaborate with business stakeholders and technical teams to gather requirements and translate ... Create and maintain documentation for data models, business logic, transformations, and validation ...

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Entry Level Business Data Analyst information

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$12

$33

$59

How much do entry level business data analyst jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for entry level business data analyst in Michigan is $33.67, according to ZipRecruiter salary data. Most workers in this role earn between $22.64 and $42.12 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an entry level business data analyst?

To thrive as an Entry Level Business Data Analyst, you need a solid understanding of statistics, data analysis, and business fundamentals, often supported by a degree in business, mathematics, or a related field. Familiarity with Excel, SQL, and data visualization tools like Tableau or Power BI is typically required, and certifications such as Microsoft Certified Data Analyst Associate can be beneficial. Strong problem-solving abilities, attention to detail, and effective communication set standout analysts apart. These skills and qualities are vital for accurately interpreting data, conveying insights, and supporting data-driven decision making.

What are some typical challenges an entry level business data analyst might face when starting out, and how can they overcome them?

As an Entry Level Business Data Analyst, one common challenge is getting acquainted with complex datasets and understanding the business context behind the numbers. New analysts may also need to learn specialized tools and software quickly while adapting to the company's data processes. Collaborating with more experienced analysts and regularly seeking feedback can accelerate learning. Building strong communication skills to effectively present findings and ask clarifying questions ensures smoother integration into the team and more impactful analyses.

What does an entry level business data analyst do?

An Entry Level Business Data Analyst is responsible for collecting, processing, and analyzing data to help their organization make informed business decisions. They typically work with large datasets, create reports, and identify trends or patterns that can improve business processes. Their role often involves using software tools like Excel, SQL, and data visualization programs to present findings to management. Entry level analysts may also support senior analysts and collaborate with other departments to ensure data accuracy and relevance.

What is the difference between Entry Level Business Data Analyst vs Business Intelligence Analyst?

AspectEntry Level Business Data AnalystBusiness Intelligence Analyst
Required CredentialsBachelor's degree in Business, Data Science, or related field; basic SQL and Excel skillsBachelor's degree; often additional certifications in BI tools (e.g., Tableau, Power BI)
Work EnvironmentData analysis, reporting, and supporting decision-making in various industriesDesigning and developing BI solutions, dashboards, and data visualization
Employer & Industry UsageEntry-level roles in finance, healthcare, retail, and tech companiesMid-sized to large organizations focusing on data visualization and reporting

While both roles involve working with data to support business decisions, an Entry Level Business Data Analyst primarily focuses on data collection, cleaning, and basic analysis. In contrast, a Business Intelligence Analyst emphasizes creating dashboards and visualizations to communicate insights effectively. The roles often overlap, but BI Analysts typically require more specialized tools and experience.

What are the most commonly searched types of Business Data Analyst jobs in Michigan? The most popular types of Business Data Analyst jobs in Michigan are:
What are popular job titles related to Entry Level Business Data Analyst jobs in Michigan? For Entry Level Business Data Analyst jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Entry Level Business Data Analyst jobs in Michigan look for? The top searched job categories for Entry Level Business Data Analyst jobs in Michigan are:
What cities in Michigan are hiring for Entry Level Business Data Analyst jobs? Cities in Michigan with the most Entry Level Business Data Analyst job openings:
Entry Level Business Data Analyst jobs near you
Infographic showing various Entry Level Business Data Analyst job openings in Michigan as of July 2026, with employment types broken down into 87% Full Time, 11% Part Time, and 2% Contract. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution, with an average salary of $70,033 per year, or $33.7 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

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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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