1

Data Analyst Power Bi Developer Jobs in Warren, MI

Data Engineer

Farmington Hills, MI · On-site

$112K - $135K/yr

Data Engineer (Azure, Microsoft Dynamics 365 & Power BI) Overview / Summary The Data Engineer is ... Build and maintain datasets used for reporting and analytics. * Create and enhance Power BI ...

Data Engineer

Farmington Hills, MI · On-site

$112K - $135K/yr

Data Engineer (Azure, Microsoft Dynamics 365 & Power BI) Overview / Summary The Data Engineer is ... Build and maintain datasets used for reporting and analytics. * Create and enhance Power BI ...

Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

SQL * Microsoft Power Platform (Power Apps, Power Automate, Power BI, Dataverse) Preferred ... analytics platforms. * Familiarity with Agile delivery (Scrum/Kanban), DevOps concepts, and ...

Data / BI Architect

Pontiac, MI · On-site

$63.25 - $81.50/hr

... Power BI, Tableau, R Programming for data visualizations, Python, TensorFlow, PyTorch, Keras, Scikit-learn, Apache Spark, Databricks, Jupyter Notebooks, AWS (SageMaker, EC2, S3), Azure (Machine ...

Showing results 41-60

Data Analyst Power Bi Developer information

See Warren, MI salary details

$31.9K

$77.6K

$127.7K

How much do data analyst power bi developer jobs pay per year?

As of Aug 12, 2026, the average yearly pay for data analyst power bi developer in Warren, MI is $77,618.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,700.00 and $91,100.00 per year, depending on experience, location, and employer.

How does a data analyst Power BI developer typically collaborate with other departments within an organization?

Data Analyst Power BI Developers often work closely with stakeholders from various departments, such as finance, marketing, and operations, to understand their data needs and translate them into actionable dashboards and reports. They collaborate with IT teams to ensure data sources are accurate and accessible, and may participate in cross-functional meetings to gather requirements or present analytical findings. This role requires strong communication skills to bridge the gap between technical data work and business objectives, ensuring that insights are both useful and user-friendly for non-technical audiences.

What are the key skills and qualifications needed to thrive as a Data Analyst Power BI Developer, and why are they important?

To excel as a Data Analyst Power BI Developer, you need strong analytical skills, proficiency in data modeling, and a solid foundation in statistics, often backed by a degree in a quantitative field. Expertise in Power BI, SQL, Excel, DAX, and possibly certifications like Microsoft Certified: Data Analyst Associate are commonly required. Attention to detail, problem-solving ability, and effective communication are critical to translate data insights into actionable recommendations for stakeholders. These skills ensure accurate data analysis, impactful reporting, and successful collaboration to drive business decisions.

What is a data analyst Power BI developer?

Data Analyst Power BI Developers are professionals who specialize in collecting, processing, and analyzing data to help organizations make informed decisions. They use Microsoft Power BI, a powerful business analytics tool, to visualize data and create interactive dashboards and reports. These professionals work closely with stakeholders to understand business requirements, gather and transform data from various sources, and present insights in a clear and actionable format. Their role often combines strong analytical skills, knowledge of databases, and expertise in Power BI to turn raw data into meaningful business intelligence.

What is the difference between Data Analyst Power Bi Developer vs Data Analyst?

AspectData Analyst Power Bi DeveloperData Analyst
Required SkillsData visualization, Power BI, SQL, data modelingData analysis, Excel, SQL, reporting
CertificationsPower BI certifications, SQL certificationsExcel certifications, data analysis certifications
Work EnvironmentBusiness intelligence teams, data departmentsVarious departments, analytics teams
Industry UsageFinance, marketing, sales, ITFinance, healthcare, retail, many sectors

While both roles involve data analysis, a Data Analyst Power Bi Developer specializes in creating interactive dashboards and reports using Power BI, focusing on data visualization and BI solutions. A Data Analyst may perform broader data analysis tasks across different tools and platforms. The Power BI Developer role often requires specific certifications and technical skills related to Power BI, whereas a Data Analyst's skills are more general. Both roles are essential in data-driven organizations but serve different functions within the analytics ecosystem.

What are popular job titles related to Data Analyst Power Bi Developer jobs in Warren, MI? For Data Analyst Power Bi Developer jobs in Warren, MI, the most frequently searched job titles are:
What job categories do people searching Data Analyst Power Bi Developer jobs in Warren, MI look for? The top searched job categories for Data Analyst Power Bi Developer jobs in Warren, MI are:
What cities near Warren, MI are hiring for Data Analyst Power Bi Developer jobs? Cities near Warren, MI with the most Data Analyst Power Bi Developer job openings:
Infographic showing various Data Analyst Power Bi Developer job openings in Warren, MI as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $77,618 per year, or $37.3 per hour.

Business Data Analyst

Masco Corporation

Livonia, MI • On-site

Full-time

Posted 12 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

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Masco logo

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

Social media