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

FocusKPI

Marketing Operations Analyst

Green Bay, WI · On-site

Proficiency in SQL for data manipulation and analysis. Comfortable with Python. * Experience working within data platforms like Databricks/Snowflake, and analytics modeling platforms such as Tableau

Danaher

Digital Analyst Internships

Green Bay, WI · On-site

$95K - $113K/yr

Analyzing data from tools like Google Analytics, PowerBI, Excel, and Looker Studio to extract ... Basic programming or scripting experience in Python, SQL, or JavaScript * Experience with Sitecore ...

Nicolet National Bank

Treasury Analyst

Green Bay, WI · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Proficiency in Microsoft Office applications, including Excel and Power Point, (Tableau / SQL experience is a plus). * Exposure to Bank Asset/Liability Management concepts; familiarity with ZM Desk ...

Nicolet National Bank

Treasury Analyst

Green Bay, WI · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Proficiency in Microsoft Office applications, including Excel and Power Point, (Tableau / SQL experience is a plus). * Exposure to Bank Asset/Liability Management concepts; familiarity with ZM Desk ...

Nicolet National Bank

Treasury Analyst

Green Bay, WI · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Proficiency in Microsoft Office applications, including Excel and Power Point, (Tableau / SQL experience is a plus). * Exposure to Bank Asset/Liability Management concepts; familiarity with ZM Desk ...

Fleet Farm

Ecommerce Integration Developer

Appleton, WI · On-site

$48.25 - $64/hr

... that power our ecommerce ecosystem. You'll work across multiple enterprise platforms to ensure ... SQL preferred). * Experience with scripting or programming languages such as Python, Java, Ruby ...

Koch Industries

Customer Engagement Lead

Green Bay, WI · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Experience using Power BI and Excel to analyze trends and evaluate market data * Experience integrating GenAI into daily activities to enhance outcomes * Experience working in OR cross-functionally ...

Schreiber Foods, Inc.

Sourcing Category Manager

Green Bay, WI · Hybrid

  • Medical

  • Dental

  • Vision

  • Retirement

Advanced proficiency in Excel and data analysis tools. Preferred * Experience in food manufacturing ... Power BI or other analytics platform experience. Eligible partners will receive: * Get not one, but ...

Schreiber Logistics

Sourcing Category Manager

Green Bay, WI · Hybrid

  • Medical

  • Dental

  • Vision

  • Retirement

Advanced proficiency in Excel and data analysis tools. Preferred * Experience in food manufacturing ... Power BI or other analytics platform experience. Eligible partners will receive: * Get not one, but ...

Schreiber Foods

Sourcing Category Manager

Green Bay, WI · Hybrid

  • Medical

  • Dental

  • Vision

  • Retirement

Advanced proficiency in Excel and data analysis tools.PreferredExperience in food manufacturing ... Power BI or other analytics platform experience.Eligible partners will receive:Get not one, but TWO ...

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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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Marketing Operations Analyst

FocusKPI

Green Bay, WI • On-site

Full-time

Re-posted 26 days ago

Job description

FocusKPI is looking for a Marketing Operations Analyst to join one of our clients, a high-tech SaaS company.

As a Marketing Operations Analyst on the Marketing Operations & Technology team, you’ll help share the client's marketing data strategy. This includes driving data governance and consistency across systems, enabling effective audience targeting for strategic marketing initiatives, and ensuring compliance with privacy regulations such as GDPR and CCPA. This is a hands-on technical role, ideal for someone who thrives in ambiguity, works autonomously with large data sets, and brings structure to complex problems. The role involves writing complex SQL to access data in our warehouse, while also building and activating audiences through our customer data platform (CDP). The ideal candidate is innately curious and passionate about identifying novel approaches to derive value from disparate data sets and highly motivated to improve your skillset around the modern data stack.

Responsibilities:

  • Audience Targeting: Develop and implement audience segmentation strategies using advanced SQL queries and data manipulation to support targeted campaigns.
  • Data Governance and Management: Gain a comprehensive understanding of our data quality and flow processes, while identifying and developing solutions to enhance data usability and accessibility.
  • Compliance Oversight: Ensure all marketing data practices adhere to privacy regulations, including GDPR and CCPA.
  • Data Integration: Collaborate with cross-functional teams such as IT and engineering to integrate data from various sources into the customer data platform (CDP) for comprehensive analysis.
  • Analytics and Reporting: Design and execute data analyses to derive actionable insights, providing stakeholders with regular reports on marketing performance and audience behaviour.
  • Collaboration and Communication: Collaborate cross-functionally with marketing stakeholders to gather evolving requirements, design effective solutions, and clearly communicate nuances of the deliverable to ensure alignment and actionable outcomes.

Requirements:

  • Bachelor’s degree in Data Science, Computer Science, or a related field
  • Minimum of 3-5 years of experience in data management, analytics, or similar, preferably within a marketing environment
  • Proficiency in SQL for data manipulation and analysis. Comfortable with Python.
  • Experience working within data platforms like Databricks/Snowflake, and analytics modeling platforms such as Tableau
  • Strong analytical and problem-solving skills with the ability to interpret complex data sets and generate actionable insights.
  • Exceptional attention to detail and a commitment to maintaining high data quality standards.
  • Demonstrates innate curiosity, comfort with ambiguity, and a proactive approach to identifying opportunities for improvement and innovation in data processes

No C2C resumes are considered

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About FocusKPI

Sourced by ZipRecruiter

Industry

Computing infrastructure providers, data processing, web hosting

Company size

51 - 200 Employees

Headquarters location

Santa Clara, CA, US

Year founded

2010

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