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Sql Python Excel Power Bi Tableau Jobs in Michigan

Pyrovio

Business Analyst

Ann Arbor, MI

Develop dashboards, KPIs, and visualizations using tools like Power BI, Tableau, SQL, and Excel. * Prepare and present reports to stakeholders, translating complex data into clear, strategic insights ...

Pyrovio

Business Analyst

Ann Arbor, MI · On-site +1

Develop dashboards, KPIs, and visualizations using tools like Power BI, Tableau, SQL, and Excel. * Prepare and present reports to stakeholders, translating complex data into clear, strategic insights ...

Tech Tammina LLC

Data / BI Architect

Pontiac, MI · On-site

... SQL Server, Oracle, PostgreSQL, MongoDB); • BI Tools: Power BI, Business Objects, Tableau ... Python, Keras, Scikit-learn, R, XML; • ML/DL/Analytic Engines: TensorFlow, PyTorch, Trillium ...

Stellantis

Ontology Engineer

Auburn Hills, MI · On-site

... SQL and Python to support our enterprise analytics architecture. You will work across platforms such as Snowflake, Palantir Foundry, Power BI, and potentially Databricks, helping the team evolve ...

Tech Tammina LLC

Data Analyst

Warren, MI · On-site

Microsoft Office Suite (Excel, Word, PowerPoint) * Visual Basic for Applications (VBA) * Tableau and Power BI * Databricks, Python (Scripting), Jupyter, Spark, Hue * Oracle PL/SQL, Oracle DBMS ...

Automated Logistics

Logistics Engineer

Grand Rapids, MI · On-site

$75K - $95K/yr

Advanced proficiency in Microsoft Excel (pivot tables, lookups, data analysis) * Experience building reports and dashboards using Power BI, Tableau, or similar tools * Strong analytical skills with ...

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All JobsSql Python Excel Power Bi Tableau JobsSql Python Excel Power Bi Tableau Jobs in Michigan

Sql Python Excel Power Bi Tableau information

What is the difference between Sql Python Excel Power Bi Tableau vs Data Analyst?

AspectSql Python Excel Power Bi TableauData Analyst
Required SkillsSQL, Python, Excel, Power BI, TableauData analysis, SQL, Excel, visualization tools
Work EnvironmentBusiness intelligence, data visualization, reportingData interpretation, reporting, business insights
Industry UsageTech, finance, marketing, consultingFinance, healthcare, retail, marketing

Sql Python Excel Power Bi Tableau professionals focus on data extraction, analysis, and visualization using specific tools. Data Analysts interpret data to provide insights, often using similar skills but with a broader focus on business decision-making. While both roles require SQL and Excel, the former emphasizes technical data manipulation and visualization tools, whereas Data Analysts focus on understanding data trends and presenting actionable insights.

What are SQL, Python, Excel, Power BI, and Tableau jobs?

Jobs that require skills in SQL, Python, Excel, Power BI, and Tableau typically involve working with data analysis, data visualization, and business intelligence. Professionals in these roles use SQL to manage and query databases, Python for data processing and automation, Excel for organizing and analyzing data, and Power BI or Tableau to create interactive dashboards and reports. These roles are common in industries like finance, healthcare, marketing, and technology, where data-driven decision-making is essential. Common job titles include Data Analyst, Business Intelligence Analyst, and Data Scientist.

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 SQL and Python for data manipulation, and a solid understanding of Excel for data organization and calculations. Familiarity with data visualization tools like Power BI and Tableau, as well as relevant certifications such as Microsoft Certified: Data Analyst Associate, are highly valuable. Attention to detail, problem-solving abilities, and effective communication skills help translate complex data findings into actionable insights for stakeholders. These skills are crucial for extracting meaningful information from data, driving business decisions, and presenting results clearly to both technical and non-technical audiences.

How do professionals using SQL, Python, Excel, Power BI, and Tableau typically collaborate within data teams?

Professionals skilled in SQL, Python, Excel, Power BI, and Tableau often work closely with data analysts, data engineers, and business stakeholders. They collaborate by gathering requirements, extracting and transforming data (using SQL and Python), and then visualizing insights (with Power BI and Tableau) or conducting ad-hoc analysis in Excel. Regular communication and sharing of dashboards or reports are common, as is peer review of data models and code. This collaborative environment helps ensure accurate, actionable insights for the organization.
What are popular job titles related to Sql Python Excel Power Bi Tableau jobs in Michigan? For Sql Python Excel Power Bi Tableau jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Sql Python Excel Power Bi Tableau jobs in Michigan look for? The top searched job categories for Sql Python Excel Power Bi Tableau jobs in Michigan are:
What cities in Michigan are hiring for Sql Python Excel Power Bi Tableau jobs? Cities in Michigan with the most Sql Python Excel Power Bi Tableau job openings:
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ICT Data & AI Business Analyst

ICT Data & AI Business Analyst

Stellantis

Auburn Hills, MI • On-site

Full-time

Posted 12 days ago

Stellantis rating

7.5

Company rating: 7.5 out of 10

Based on 128 frontline employees who took The Breakroom Quiz

15th of 44 rated automakers

Job description

Role Summary
The Data & AI Business Analyst drives the discovery, analysis, and translation of business needs into actionable requirements, with a strong emphasis on data analytics, process optimization, and cross-functional collaboration. This role requirement-gathering efforts, shapes analytical solutions, and ensures that data-driven insights inform strategic and operational decisions. The position serves as a bridge between business stakeholders, data teams, and technology partners to deliver high-quality, scalable solutions.
Key Responsibilities
Requirements Gathering & Solution Definition
  • Lead end-to-end requirements elicitation through workshops, interviews, process mapping, and data exploration.
  • Translate business needs into clear, concise functional and non-functional requirements, user stories, acceptance criteria, and process flows.
  • Facilitate alignment sessions with stakeholders to validate requirements and ensure shared understanding.
  • Evaluate business processes and identify opportunities for automation, optimization, and improved data utilization.

Data Analytics & Insights
  • Partner with data engineering, BI, and analytics teams to define data requirements, metrics, KPIs, and reporting structures.
  • Analyze complex datasets to identify trends, gaps, and opportunities that inform business strategy.
  • Support the design and validation of dashboards, analytical models, and data pipelines.
  • Ensure data quality, governance, and consistency across analytical solutions.

Stakeholder Communication
  • Liaison between business units, technical teams, and leadership.
  • Present findings, recommendations, and solution options to stakeholders in a clear, data-driven manner.
  • Manage stakeholder expectations, dependencies, and priorities across multiple initiatives.
  • Mentor junior analysts and contribute to BA practice development.

Project & Delivery Support
  • Collaborate with project managers, product owners, and technical leads to define scope, timelines, and delivery plans.
  • Support backlog refinement, sprint planning, and release readiness activities.
  • Conduct impact assessments, risk analysis, and change-readiness evaluations.
  • Validate solutions through testing support, UAT coordination, and post-implementation reviews.

Required Qualifications
  • Bachelor's degree in Business, Computer Science, Information Systems, Data Analytics, Statistics, or a related field
  • Minimum 4 years of experience as a Business Analyst, Data Analyst, or similar role
  • Strong proficiency in data analysis tools (e.g., SQL, Excel, Power BI, Tableau).
  • Strong understanding of SAP configuration, master data, and business process flow.
  • SAP Analytics, SAP HANA, SAP AI/Joule experience
  • Demonstrated experience gathering and documenting complex requirements for data driven solutions.
  • Solid understanding of data modeling, data governance, and analytics workflows.
  • Experience working in Agile environments and writing user stories.
  • Excellent communication, facilitation, and stakeholder management skills.

Preferred Qualifications
  • Experience with cloud data platforms (e.g., Azure, AWS, SQL).
  • Background in process improvement methodologies (Agile, Lean, Six Sigma).
  • Familiarity with API integrations, data engineering, data visualization, data pipelines, and enterprise data architecture.
  • Industry experience in finance, healthcare, retail, or technology.
  • SAP Analytics, SAP HANA, SAP AI/Joule experience

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