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Data Analyst Jobs in Inkster, MI (NOW HIRING)

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

  • Medical

  • PTO

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

Advantasure, Inc.

Audit Data Analyst

Detroit, MI · On-site

Responsible for assisting in the continuous improvement and maturity of the data analytics program within BCBSM Internal Audit and assisting with other day-to-day operational responsibilities of the ...

KLA Corporation

Aftermarket Business Data Analyst

Ann Arbor, MI · On-site

$77K - $132K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Build data models, predictive analytics, and forecasting tools to improve planning and operational effectiveness. * Write and optimize SQL queries and leverage Python or other analytical tools to ...

Orbotech

Aftermarket Business Data Analyst

Ann Arbor, MI

$77K - $132K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Build data models, predictive analytics, and forecasting tools to improve planning and operational effectiveness. * Write and optimize SQL queries and leverage Python or other analytical tools to ...

KLA Corporation

Aftermarket Business Data Analyst

Ann Arbor, MI

$77K - $132K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Build data models, predictive analytics, and forecasting tools to improve planning and operational effectiveness. * Write and optimize SQL queries and leverage Python or other analytical tools to ...

KLA

Aftermarket Business Data Analyst

Ann Arbor, MI · On-site

$77K - $132K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Build data models, predictive analytics, and forecasting tools to improve planning and operational effectiveness. * Write and optimize SQL queries and leverage Python or other analytical tools 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 ...

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Showing results 21-40

All JobsData Analyst JobsData Analyst Jobs in Inkster, MI

Data Analyst information

See Inkster, MI salary details

$31.8K

$77.3K

$127.3K

How much do data analyst jobs pay per year?

As of Aug 16, 2026, the average yearly pay for data analyst in Inkster, MI is $77,344.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,500.00 and $90,800.00 per year, depending on experience, location, and employer.

What is the difference between Data Analyst vs Data Scientist?

AspectData AnalystData Scientist
Required CredentialsBachelor's degree in statistics, mathematics, or related field; often certifications in data analysis toolsBachelor's or master's in computer science, statistics, or related; often advanced certifications or degrees
Work EnvironmentBusiness settings, focusing on data reporting and visualizationResearch and development environments, focusing on predictive modeling and complex algorithms
Employer & Industry UsageRetail, finance, healthcare, and marketing companiesTech firms, research institutions, and large enterprises

While both roles analyze data, Data Analysts primarily focus on interpreting existing data to generate reports and insights, whereas Data Scientists develop predictive models and advanced algorithms to forecast trends and solve complex problems.

Can I learn a data analyst in 3 months?

A data analyst role requires skills in data manipulation, statistics, and tools like Excel, SQL, and Python or R. While three months can provide a foundational understanding through intensive training or bootcamps, gaining proficiency typically takes longer with consistent practice and real-world experience.

What are some common challenges data analysts face when working with large datasets, and how are they typically addressed?

Data Analysts often encounter challenges such as data quality issues, missing or inconsistent values, and slow processing times when handling large datasets. These challenges are typically addressed by implementing data cleaning routines, using advanced data management tools, and leveraging programming languages like Python or R for efficient data manipulation. Collaboration with database administrators and IT teams is also common to ensure data integrity and optimize data storage solutions. Staying updated with best practices in data wrangling and visualization helps Data Analysts deliver accurate and actionable insights.

What work does a data analyst do?

A data analyst collects, processes, and analyzes large datasets to identify trends, patterns, and insights that support business decision-making. They use tools like Excel, SQL, and data visualization software to interpret data and communicate findings to stakeholders. Strong analytical skills and attention to detail are essential for this role.

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

To thrive as a Data Analyst, you need strong analytical skills, proficiency in statistics, and a relevant degree such as in mathematics, statistics, or computer science. Familiarity with data analysis tools like SQL, Excel, Python or R, and experience with visualization platforms such as Tableau or Power BI are typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help analysts interpret data insights and present findings clearly to stakeholders. These skills are crucial for transforming raw data into actionable business insights that drive informed decision-making.

What are top 3 skills for a data analyst?

The top three skills for a data analyst are proficiency in data manipulation and analysis tools like Excel, SQL, and statistical software; strong analytical and problem-solving abilities; and effective communication skills to present insights clearly. Familiarity with data visualization tools such as Tableau or Power BI is also highly valuable. These skills enable data analysts to interpret complex data and support decision-making processes.

What does a data analyst do?

A Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed business decisions. They use statistical tools and software to interpret data sets, identify trends, and create visual reports. Data Analysts often collaborate with other departments to provide actionable insights and support strategic planning. Their work helps organizations optimize operations, track performance, and solve business problems using data-driven approaches.
More about Data Analyst jobs

What are the most commonly searched types of Data Analyst jobs in Inkster, MI?

The most popular types of Data Analyst jobs in Inkster, MI are:

What job categories do people searching Data Analyst jobs in Inkster, MI look for?

The top searched job categories for Data Analyst jobs in Inkster, MI are:

What cities near Inkster, MI are hiring for Data Analyst jobs?

Cities near Inkster, MI with the most Data Analyst job openings:

Data Analyst jobs near you
Infographic showing various Data Analyst job openings in Inkster, MI as of August 2026, with employment types broken down into 100% Full Time. Highlights an 75% In-person, and 25% Remote job distribution, with an average salary of $77,344 per year, or $37.2 per hour.

Business Data Analyst

Masco Corporation

Livonia, MI • On-site

Full-time

Posted 16 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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Hours and flexibility

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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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