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Sql Python Excel Power Bi Tableau Jobs in Wisconsin

Baker Tilly US

Data Solution Architect

Madison, WI · On-site

... Python, dbt, and SQL to develop advanced data transformation and integration processes. • ... into Power BI and other reporting platforms. • Stay informed about emerging trends and ...

New

Zantech

Technical Business Analyst

Fort Mccoy, WI

Experience with data analysis tools (Excel, SQL, or similar) * Experience with business intelligence tools (Tableau, Power BI, or similar) * Experience with process modeling and workflow tools

Zantech

Experience with data analysis tools (Excel, SQL, or similar) * Experience with business intelligence tools (Tableau, Power BI, or similar) * Experience with process modeling and workflow tools

Hiebing

Marketing Intelligence Engineer

Madison, WI · On-site

$51.50 - $66.75/hr

Work with SQL, Python, APIs, and cloud data systems such as Azure and Snowflake * Troubleshoot data ... Experience with Tableau, Power BI, Looker Studio, or similar visualization tools is helpful but not ...

htna

Business Analyst

Milwaukee, WI · Hybrid

Proficiency in SQL and data visualization tools (e.g., Power BI, Tableau). * Excellent communication and stakeholder engagement skills. Preferred: * Experience with cloud data platforms (e.g., Fabric ...

Imedica

Affordability Analyst III

Madison, WI

$90.50K - $155.20K/yr

Strong proficiently in data analysis tools (e.g., SQL, Python, R, Excel) and visualization techniques/software (e.g. Power BI, Tableau) * Proven experience in developing and implementing data ...

Medica

Affordability Analyst III

Madison, WI

$90.50K - $155.20K/yr

Strong proficiently in data analysis tools (e.g., SQL, Python, R, Excel) and visualization techniques/software (e.g. Power BI, Tableau) * Proven experience in developing and implementing data ...

Hiebing

Marketing Intelligence Engineer

Madison, WI · On-site

$51.50 - $66.75/hr

Work with SQL, Python, APIs, and cloud data systems such as Azure and Snowflake * Troubleshoot data ... Experience with Tableau, Power BI, Looker Studio, or similar visualization tools is helpful but not ...

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Sql Python Excel Power Bi Tableau information

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 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 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 popular job titles related to Sql Python Excel Power Bi Tableau jobs in Wisconsin? For Sql Python Excel Power Bi Tableau jobs in Wisconsin, the most frequently searched job titles are:
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:
Sql Python Excel Power Bi Tableau jobs near you
Data Solution Architect

Data Solution Architect

Baker Tilly US

Madison, WI • On-site

Full-time

Posted 2 days ago

Baker Tilly rating

8.6

Company rating: 8.6 out of 10

Based on 31 frontline employees who took The Breakroom Quiz

5th of 17 rated bookkeepers and accountants

Job description

Job Summary:
Baker Tilly is a leading advisory, tax and assurance firm, providing clients with a genuine coast-to-coast and global advantage. They are seeking a Data Solution Architect to design and implement scalable data engineering solutions, develop data pipelines, and collaborate with analytics teams to integrate data assets into reporting platforms.
Responsibilities:
• Collaborate with clients and internal stakeholders to design and implement scalable data engineering solutions using the Microsoft Analytics ecosystem.
• Develop and maintain data pipelines, ensuring efficient extraction, transformation, and loading (ETL) processes for structured and unstructured data.
• Apply best practices in dimensional modeling to create robust and scalable data models for analytics and reporting.
• Leverage tools such as Python, dbt, and SQL to develop advanced data transformation and integration processes.
• Optimize data storage and retrieval mechanisms to support high-performance analytics workloads.
• Implement and manage hybrid analytics workloads using Azure Cloud infrastructure, including networking and security configurations.
• Monitor and troubleshoot data pipelines and workflows to ensure accuracy, reliability, and performance.
• Collaborate with analytics and BI teams to ensure seamless integration of data assets into Power BI and other reporting platforms.
• Stay informed about emerging trends and technologies in data engineering and cloud analytics to enhance solution delivery.
Qualifications:
Required:
• Ten (10) plus years experience in data engineering with expertise in the Microsoft Analytics stack (Fabric, Synapse, SQL, SSAS, SSRS).
• Strong proficiency in SQL, Python, and data modeling techniques.
• Working knowledge of data extraction patterns and best practices.
• Experience with ETL tools and frameworks, such as dbt.
• Solid understanding of dimensional modeling and its application in analytics.
• Strong problem-solving skills with a focus on delivering scalable and efficient solutions.
• Excellent communication and collaboration skills, with experience in client-facing roles.
Preferred:
• Experience with Azure Cloud infrastructure, including hybrid analytics workload configurations and networking.
• Certifications in Azure Engineering (e.g., Azure Data Engineer Associate, Azure Solutions Architect Expert).
• Experience with Azure DevOps or GitHub for code repositories and deployment.
• Familiarity with advanced analytics tools and concepts, including machine learning workflows.
• Knowledge of additional data visualization tools such as Tableau or Qlik.
• Experience with Agile methodologies for project management.
Company:
Baker Tilly is a leading advisory, tax and assurance firm, providing clients with a genuine coast-to-coast and global advantage in major regions of the U.S. Founded in 1931, the company is headquartered in Chicago, IL, US, , with a team of 10001+ employees. The company is currently Late Stage.

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