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Sql Python Excel Power Bi Tableau Jobs in Michigan

PMC

BI Developer

Farmington Hills, MI

... Power BI semantic models aligned with Microsoft Fabric and modern BI best practices. • Use Python ... Excel, Access, SAS) into governed, automated Power BI solutions. • Gather, document, and ...

BDO USA

Power BI Lead Developer

Grand Rapids, MI · On-site

Strong SQL skills, required * Strong ETL/ELT processes, required * Microsoft Power Automate ... Automate, Python Individual salaries that are offered to a candidate are determined after ...

CGI Inc.

Senior Power BI Developer

Lansing, MI · On-site

Design, develop, and maintain reports, dashboards, and data visualizations using Power BI, SQL Server Reporting Services (SSRS), and/or Advantage Intelligence to support stakeholder decision-making.

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 ...

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 ...

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 ...

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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:
Sql Python Excel Power Bi Tableau jobs near you
BI Developer

BI Developer

PMC

Farmington Hills, MI

Other

Posted 5 days ago

Job description

Responsible for supporting business intelligence and analytics needs within Mercedes-Benz Financial Services, partnering with business stakeholders and contributing to the transformation from a legacy on-prem BI environment (DB2 / Informatica / Cognos) to a modern Azure and Microsoft Fabric–based analytics platform (Databricks, Fabric, Power BI). This role will focus on developing modern BI solutions while supporting and migrating existing Cognos assets.
Develop and support dashboards and reports using Power BI (primary) and Cognos Analytics (legacy support during the transition).
•  Lead and support migration of reports, dashboards, and data models from Cognos to Power BI / Microsoft Fabric, ensuring accuracy, performance, and consistency.

• Design and build scalable Power BI semantic models aligned with Microsoft Fabric and modern BI best practices.

•            Use Python for data transformation, automation, and analytics within Databricks and Microsoft Fabric environments.

•            Collaborate with Data Engineering teams to support Fabric Lakehouse and Warehouse solutions and Azure-based data pipelines.

•            Provide production support and root cause analysis across legacy and modern BI platforms.

•            Convert end-user reporting solutions (Excel, Access, SAS) into governed, automated Power BI solutions.

•            Gather, document, and translate business requirements into technical specifications, including data mappings and transformation logic.

•            Support unit testing and UAT, ensuring data quality and reporting accuracy.

•            Provide guidance and enablement for Power BI self-service analytics.

•            Support enterprise analytics transformation initiatives and evolving BI standards.

Skills and Qualifications:   
•            Hands-on experience with Cognos Analytics and Power BI, including DAX, data modeling, and report migration.
• Strong Python skills for data manipulation, automation, and analytics.
• Experience with Microsoft Fabric (Lakehouse, Warehouse, semantic models).
• Experience with Azure data platforms, including Databricks and Azure Data Lake.
• Strong SQL and data warehousing fundamentals.
• Familiarity with ETL / ELT tools (Informatica experience a plus).
• Strong analytical, problem-solving, and communication skills.
• Comfortable working in a transformational, fast-evolving environment.
• Financial Services experience preferred.

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