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Sql Python Excel Power Bi Tableau Jobs in Wisconsin

... SQL, or similar tools. * Reconciliation & Insights * Help reconcile tariffs/duties paid with ... Develop and maintain a dashboard (Power BI, Tableau, or Excel) to track key metrics such as:

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

Power Bi Lead Power BI Sr. Developer in BI space with minimum 3 years of experience with PowerBI ... Good hands on experience in SQL. Perform unit testing cases and script review. Involved in system ...

... SQL and/or data querying tools * Familiarity with data visualization tools (Power BI, Tableau ... Exposure to Python or R * Understanding of basic statistics and KPIs * Experience working with ...

Python, SQL, Gen AI, LLMs, Snowflake, Power BI, Tableau, Computer Vision, Databricks Missing some of these? We've got you covered with our focused training programs. Please note: Only shortlisted ...

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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:

Data Analytics/Finance Intern

amphenol

Janesville, WI • On-site

Other

Posted 16 days ago


Job description

Position Summary:

The Data Analytics and Finance Intern will support our Finance team in analyzing tariffs and duties, improving data visibility, and assisting with reconciliation and reporting processes. This role will focus on building a structured view of tariff-related data, supporting recovery analysis, and developing dashboards to track key metrics.

Position Requirements:

  1. Data Analysis & Preparation
    1. Identify and gather relevant data from key sources (e.g., ERP invoices, AP/AR records, shipment or customs data).
    2. Assist in organizing and structuring data for analysis using Excel, SQL, or similar tools.
  2. Reconciliation & Insights
    1. Help reconcile tariffs/duties paid with customer invoices and credits for a defined dataset or business segment.
    2. Analyze discrepancies and highlight potential recovery opportunities.
  3. Dashboarding & Reporting
    1. Develop and maintain a dashboard (Power BI, Tableau, or Excel) to track key metrics such as:
      1. Total duties paid
      2. Amount recovered
      3. Recovery rate
      4. Aging of outstanding balances
    2. Present findings and insights to the Finance team.
  4. Documentation & Process Support
    1. Document data sources, assumptions, and reconciliation logic.
    2. Assist in outlining repeatable processes and recommendations for future improvements.
  5. When mandated, will need to be available to work overtime, be it daily extra hours or weekly with additional days added to the work week.
  6. Individuals directed by management to operate a vehicle for work purposes will observe the requirements of the Fleet Safety Program.
  7. Support, promote, and perform in a manner consistent with continuous improvement goals and the values of SSI Technologies, LLC. which includes following the policies, procedures, and requirements of our Quality Management and IS0 14001 Environmental Management Systems.
  8. All other duties as assigned by your supervisor.

Professional/Technical Experience, Skills and Education:

  1. Currently pursuing an education in Finance, Data Analytics, Information Systems, or related field, required.
  2. Strong Excel skills (pivot tables, lookups; Power Query a plus), required.
  3. Basic SQL proficiency (joins, filtering, aggregations), required.
  4. Interest in financial analysis and working with data, required.
  5. Experience with a BI tool (Power BI, Tableau, or similar), preferred.
  6. Exposure to Python or R for data analysis, preferred.
  7. Basic understanding of accounting concepts (AP/AR, reconciliations), preferred.
  8. Familiarity with ERP systems or large datasets is a plus, preferred.

 

Key Attributes:

  • Performs under direct supervision
  • Handles basic issues, refers more complex issues up a level.
  • Solid working level of knowledge.
  • Receives mentoring and coaching.

Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.