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Sql Python Excel Power Bi Tableau Jobs in Green Bay, WI

TTEC

Data Analyst - Excel - Power BI

Krakow, WI ยท On-site

Data Analyst - Excel - Power BI Apply now Save jobSaved job Data Analyst - Krakow At TTEC, were all ... of SQL is essential Significant experience with spreadsheets and creating detailed reports ...

Reli Group Inc

Power BI Intern

Green Bay, WI ยท On-site

$15/hr

Clean, transform, and analyze large datasets from various sources (Excel, SQL, SharePoint, etc ... Exposure to other data visualization tools (e.g., Tableau) preferred * Experience with Microsoft ...

Valid8 Financial, Inc.

Data Scientist

Appleton, WI ยท On-site

$120 - $180/hr

Proficiency in Python and SQL; experience with API/JSON integrations. * Experience with statistical ... Experience with data visualization tools (Power BI, Tableau, or similar) * Exceptional ...

Lantern

Strategy Analyst

Green Bay, WI ยท On-site

High proficiency in Excel and PowerPoint; bonus if you have other technical / data visualization skills (e.g., Python, Power BI, Tableau, SQL) * Bonus: Experience or interest in healthcare Benefits

Faith Technologies

Data Engineering Manager

Menasha, WI ยท On-site

... Python, PowerShell, R, or Scala, along with strong experience in SQL and relational databases like MS-SQL. It also involves proficiency in data visualization tools such as Power BI or Tableau, as ...

Tusker

Senior NetSuite Administrator

Green Bay, WI ยท On-site

$70K/yr

SQL knowledge Preferred: * Familiarity with any of the following software packages: * ConnectWise CPQ * ConnectWise PSA * BrightGauge * Power BI * Channel Online Compensation Starting at $70,000/year ...

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How much do sql python excel power bi tableau jobs pay per hour?

As of Aug 16, 2026, the average hourly pay for sql python excel power bi tableau in Green Bay, WI is $54.70, according to ZipRecruiter salary data. Most workers in this role earn between $45.14 and $64.52 per hour, depending on experience, location, and employer.

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 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.

Is Power BI still in demand in 2026?

Power BI remains a highly in-demand skill for data analysts and business intelligence professionals in 2026, as organizations continue to prioritize data visualization and reporting tools. Proficiency in Power BI, along with skills in SQL, Python, and Excel, enhances job prospects in data-driven roles, with demand expected to grow as companies adopt advanced analytics and automation solutions.

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.

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