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Sql Python Excel Power Bi Tableau Jobs in Wisconsin

WI ยท On-site

$85 - $120/hr

Develop visual reports, dashboards, and KPI scorecards using Power BI desktop based on business ... Knowledge of SQL queries, SQL Server Reporting Services (SSRS) and SQL Server Integration Services ...

New

Infrastructure Data Analytics Engineer

Brookfield, WI ยท On-site

$108K - $130K/yr

Experience with Power BI, Tableau, or similar visualization platforms. * Experience with Azure, AWS ... SQL (Advanced) * Python * Alteryx * Power BI * Excel Data & Integration * REST APIs * JSON / XML ...

Basic SQL knowledge for data extraction and reporting * Familiarity with Power BI, Tableau, or similar visualization tools * Experience working with large datasets and Excel-based analytics

Contribute to Power BI, Tableau, SQL, and workforce analytics initiatives as skills and business needs allow. * Help identify opportunities to simplify, automate, or modernize existing reporting ...

WI ยท On-site

$95 - $150/hr

Create and maintain software tools and dashboards (Excel, SQL, Python) to empower engineering ... Experience with data visualization tools such as Power BI, Tableau, or equivalent * Experience with ...

New

WI ยท On-site

$70 - $90/hr

Create and maintain software tools and dashboards (Excel, SQL, Python) to empower engineering ... Experience with data visualization tools such as Power BI, Tableau, or equivalent * Experience with ...

New

Experience using analytical tools such as SQL, SAS, Microsoft Excel, SPSS, R, or similar platforms. * Experience with data visualization tools such as Power BI, Tableau, or similar reporting ...

New

WI ยท On-site

$100 - $232/hr

Advanced experience and familiarity with programming languages (such as SQL, Python, etc.) and BI platforms such as Power BI, Tableau, QuickSight * Proven ability to lead complex analytics portfolios ...

WI ยท On-site

$100 - $232/hr

Advanced experience and familiarity with programming languages (such as SQL, Python, etc.) and BI platforms such as Power BI, Tableau, QuickSight * Proven ability to lead complex analytics portfolios ...

Showing results 21-40

Sql Python Excel Power Bi Tableau information

What is a sql python excel power bi tableau job?

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.

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 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.

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 job categories do people searching Sql Python Excel Power Bi Tableau jobs in Wisconsin look for?

The top searched job categories for Sql Python Excel Power Bi Tableau jobs in Wisconsin are:

What cities in Wisconsin are hiring for Sql Python Excel Power Bi Tableau jobs?

Cities in Wisconsin with the most Sql Python Excel Power Bi Tableau job openings:

Business Analyst

Hammes Company

Milwaukee, WI โ€ข On-site

Full-time

Posted yesterday

New


Job description

Join Our Team
Consider a career with Hammes if you are interested in being a part of a dynamic and entrepreneurial environment! We have been recognized as one of the Best Places to Work in Healthcare by Modern Healthcare.
Founded in 1991, Hammes is a vertically integrated real estate solutions platform. Our capabilities include real estate strategy and planning, project management, development, investment and property management for healthcare clients and other leading institutions. Hammes is consistently ranked as one of the nation's top healthcare developers by both Modern Healthcare's Construction & Design Survey and Revista's Outpatient Healthcare Real Estate Development Report.
Position Summary
The Business Analyst will support Hammes' business systems, reporting platforms, data initiatives, workflow automation efforts, and emerging AI initiatives. More specifically, this role will assist with Salesforce administration, business intelligence reporting, data analysis, data architecture, and process improvement projects. The Business Analyst will work closely with leadership, users, IT, and outside vendors to help improve data quality, strengthen reporting capabilities, support system adoption, and identify opportunities to use technology, automation, and generative AI to improve business processes.
By nature of this role, the ideal candidate should be curious, analytical, detail-oriented, and eager to learn. While prior professional experience is helpful, this position is intended for someone who demonstrates aptitude through coursework, internships, projects, certifications, or hands-on experience with data, analytics, systems, AI tools, or software development.
Principal Duties and Responsibilities
This list of duties and responsibilities is not all inclusive and may be expanded to include other duties and responsibilities, as management may deem necessary from time to time.
  • Supports the administration, maintenance, and enhancement of assigned business systems, including Salesforce, reporting platforms, data tools, automation solutions, and related applications.
  • Assists with Salesforce administration tasks, including user access, profiles, permissions, reports, dashboards, data updates, troubleshooting, documentation, and system configuration.
  • Helps develop and maintain reports, dashboards, datasets, and business intelligence assets that support leadership visibility, operational reporting, and business decision-making.
  • Supports data analysis and data preparation activities, including data extraction, cleanup, validation, reconciliation, transformation, and organization.
  • Assists with internal data initiatives, including data model development, dataflows, data warehouse or data lake projects, reporting documentation, and source-of-truth standards.
  • Works with business users and leadership to understand reporting needs, process challenges, data questions, and opportunities for system or workflow improvements.
  • Supports technology and process improvement projects by assisting with requirements gathering, process documentation, testing, deployment, training, and ongoing user support.
  • Assists with AI and automation initiatives by researching use cases, testing tools, documenting workflows, validating outputs, and identifying opportunities to reduce manual or repetitive work.
  • Serves as a developing resource for users by answering questions, preparing documentation, troubleshooting issues, and supporting adoption of systems and AI, reports, dashboards, workflows, and new tools.
  • Stays current on emerging tools and technologies related to Salesforce, Power BI, Tableau, Microsoft Fabric, Power Platform, generative AI, data analytics, and automation.
  • Performs other duties as required.

Knowledge, Skills & Abilities
The requirements listed below are representative of the knowledge, skills, and abilities required to perform this job successfully.
  • Bachelor's degree in computer science, data science, data engineering, business analytics, management information systems, or a related field.
  • At least one year of relevant experience preferred; internships, academic projects, capstone projects, certifications, or comparable hands-on experience will be considered, as appropriate.
  • Foundational understanding of business systems, data analytics, databases, reporting tools, software development concepts, workflow automation, or related technology concepts.
  • Academic or hands-on exposure to data analysis, data modeling, database concepts, business intelligence, data visualization, data engineering practices, or machine learning concepts.
  • Exposure to common data, reporting, scripting, automation, or AI-enabled tools, such as Power BI, Tableau, SQL, Python, Salesforce, Power Automate, Power Apps, Microsoft Fabric, Dataverse, ChatGPT, Claude, Microsoft Copilot, or similar platforms.
  • Ability and willingness to learn new systems and tools, including reporting platforms, business systems, data architecture concepts, automation tools, and AI-enabled workflows.
  • Strong analytical and problem-solving skills with the ability to research issues, organize information, understand business needs, and develop practical recommendations with guidance.
  • Strong attention to detail and commitment to data accuracy, documentation, quality, and continuous improvement.
  • Effective communication and collaboration skills with the ability to work professionally with business users, leadership, IT, and vendors.
  • Ability to manage multiple tasks, ask thoughtful questions, accept feedback, and work in a fast-paced, team-oriented environment.
  • Curiosity and enthusiasm for learning new technologies, improving business processes, and applying data-driven thinking.
  • Proficient with Microsoft Office, including Word, PowerPoint, Outlook, and Excel.