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Data Analyst Python Sql Jobs in Michigan (NOW HIRING)

Masco Corporation

Business Data Analyst

Livonia, MI · On-site

Profile new and existing data sources using SQL and built-in profiling tooling for completeness ... Exposure to Python for analysis. * Prior experience supporting product attribution, item mapping ...

LHH US

Accounting Data Analyst

Grand Rapids, MI

Proficiency in SQL and reporting tools such as Power BI or Tableau. * Ability to translate complex ... Experience using Python, R, or advanced analytics tools. * Experience supporting multi-entity or ...

LHH US

Accounting Data Analyst

Grand Rapids, MI

Proficiency in SQL and reporting tools such as Power BI or Tableau. * Ability to translate complex ... Experience using Python, R, or advanced analytics tools. * Experience supporting multi-entity or ...

Integrated Resources INC

DATA ANALYST

Detroit, MI · On-site

... analyzing programs, processes, and procedures to extract, transform, integrate, and load data into ... MS SQL Server 2012) Knowledge of logical data modeling, distributed systems, IT architecture ...

FastTek

Data Analyst

Okemos, MI

We are seeking an Analytics Engineer (contract) to support development of scalable analytics ... Success in this position requires strong SQL skills, experience with dbt-based data modeling, and ...

DATAMAXIS

Analytics Engineer/Data Analyst

Okemos, MI · On-site

The ideal candidate has strong expertise in SQL, Snowflake, dbt, and Tableau, along with a solid understanding of data modeling, data quality, and modern analytics engineering practices. Key ...

DATAMAXIS

Analytics Engineer/Data Analyst

Okemos, MI · On-site

The ideal candidate has strong expertise in SQL, Snowflake, dbt, and Tableau, along with a solid understanding of data modeling, data quality, and modern analytics engineering practices. Key ...

DATAMAXIS

Analytics Engineer/Data Analyst

Okemos, MI · On-site

The ideal candidate has strong expertise in SQL, Snowflake, dbt, and Tableau, along with a solid understanding of data modeling, data quality, and modern analytics engineering practices. Key ...

R3 Tek

Data Analyst

Detroit, MI · On-site

$45/hr

Advanced ability to analyze, critically review a data warehouse, advanced SQL, and data flow is essential. * Aptitude, creativity, forward thinking and approach are key. * Healthcare industry ...

Conclusive Marketing

Data Analyst

Dearborn, MI · On-site

Query, manipulate, and automate large datasets using tools such as SQL, BigQuery, and Alteryx to ... Knowledge of Python or R for advanced statistical modeling or process automation. Benefits We ...

OneMagnify

Data Analyst

Dearborn, MI · On-site

Query, manipulate, and automate large datasets using tools such as SQL, BigQuery, and Alteryx to ... Knowledge of Python or R for advanced statistical modeling or process automation. Benefits We ...

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 ... Proficiency in programming languages such as Python. * Strong expertise in SQL and experience ...

Zobility

Quality Data Analyst

Auburn Hills, MI · On-site

Required : • 3+ years of experience in data analytics or business intelligence • Strong SQL experience (Snowflake preferred) • Experience with SAS • Experience with Power BI or similar ...

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Data Analyst Python Sql information

How does a data analyst using Python and SQL typically collaborate with other departments within an organization?

Data Analysts proficient in Python and SQL frequently work alongside teams such as marketing, product development, finance, and operations. They gather requirements from stakeholders, translate business questions into data queries, and present actionable insights through dashboards or reports. Regular meetings and clear communication are essential to ensure that data solutions align with business goals, and Data Analysts often act as a bridge between technical data teams and non-technical decision makers. This collaborative environment helps drive data-informed decisions across the organization.

What is a data analyst Python SQL?

Data Analyst Python SQL jobs involve analyzing and interpreting data to help organizations make informed business decisions. These professionals use Python for data manipulation, automation, and visualization, and SQL for querying and managing data stored in relational databases. Typical tasks include data cleaning, building reports, extracting insights, and creating dashboards. Data Analysts often collaborate with other teams to understand data requirements and communicate findings through presentations or visualizations. Proficiency in both Python and SQL is essential for efficiently handling large data sets and solving complex analytical problems.

What jobs can I get if I know Python and SQL?

Data analysts with Python and SQL skills can pursue roles such as data analyst, business intelligence analyst, or data scientist. These positions typically involve data extraction, cleaning, analysis, and visualization, often using tools like pandas, SQL databases, and visualization software. Strong programming and database management skills are essential for these roles.

What are the key skills and qualifications needed to thrive as a data analyst with Python and SQL?

To thrive as a Data Analyst specializing in Python and SQL, you need strong analytical skills, statistical knowledge, and proficiency in data manipulation, typically supported by a relevant degree or certification. Expertise in Python for data analysis, SQL for database querying, and experience with visualization tools like Tableau or Power BI are commonly expected. Attention to detail, problem-solving abilities, and effective communication are crucial soft skills for interpreting data and presenting actionable insights. These skills help ensure accurate analysis, impactful reporting, and informed decision-making within organizations.

What is the difference between Data Analyst Python Sql vs Data Scientist?

AspectData Analyst Python SqlData Scientist
Required SkillsExcel, SQL, Python basics, data visualizationAdvanced Python, machine learning, statistical modeling
Work EnvironmentBusiness intelligence, reporting, dashboardsPredictive modeling, research, complex data analysis
Industry UsageFinance, marketing, retail, healthcareTech, finance, research institutions, startups

While Data Analysts with Python and SQL focus on interpreting data, creating reports, and visualizations, Data Scientists build predictive models and perform advanced statistical analysis. Both roles require Python and SQL skills, but Data Scientists typically have a stronger background in statistics and machine learning, making their work more research-oriented.

What are popular job titles related to Data Analyst Python Sql jobs in Michigan? For Data Analyst Python Sql jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Data Analyst Python Sql jobs in Michigan look for? The top searched job categories for Data Analyst Python Sql jobs in Michigan are:
What cities in Michigan are hiring for Data Analyst Python Sql jobs? Cities in Michigan with the most Data Analyst Python Sql job openings:
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Infographic showing various Data Analyst Python Sql job openings in Michigan as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 12% Part Time, 1% Temporary, and 5% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution.

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

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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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