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Sql Python Excel Power Bi Tableau Jobs in Seattle, WA

Senior Financial Analyst

Everett, WA · On-site

$118K - $144K/yr

Advanced Excel skills with experience working with large datasets; SQL and ERP experience (NetSuite or Oracle Fusion or SAP preferred) are a plus. * Proficiency with BI tools (Power BI, Tableau) and ...

... BI stack Strong SQL to automate data pulls and reports, Data Presentation tools such as ... Excel and Power View Experience with Data Warehousing and ETL Strong understanding of global ...

Data Engineer

Seattle, WA · Remote

$117K - $140K/yr

... SQL, Azure Data Lake Storage Gen2 o Power BI and/or other visualization tools o Azure Functions, Logic Apps, and orchestration frameworks o SQL, Python and PySpark/Scala * Experience working with ...

Senior Data Analyst

Seattle, WA · On-site

$114K - $196K/yr

You will technically guide team members in analytics best practices using SQL, Python, modern data ... like Tableau, Looker, or Power BI. * Perform deep-dive quantitative analyses to uncover trends ...

Senior Data Analyst

Seattle, WA

$97K - $123K/yr

You will technically guide team members in analytics best practices using SQL, Python, modern data ... like Tableau, Looker, or Power BI. * Perform deep-dive quantitative analyses to uncover trends ...

Senior Data Analyst

Seattle, WA · On-site

$114K - $196K/yr

You will technically guide team members in analytics best practices using SQL, Python, modern data ... like Tableau, Looker, or Power BI. * Perform deep-dive quantitative analyses to uncover trends ...

Showing results 41-60

Sql Python Excel Power Bi Tableau information

See Seattle, WA salary details

$12

$64

$88

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

As of Aug 6, 2026, the average hourly pay for sql python excel power bi tableau in Seattle, WA is $64.00, according to ZipRecruiter salary data. Most workers in this role earn between $52.79 and $75.48 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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Infographic showing various Sql Python Excel Power Bi Tableau job openings in Seattle, WA as of August 2026, with employment types broken down into 88% Full Time, 8% Part Time, 1% Temporary, and 3% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $133,126 per year, or $64 per hour.

Business Intelligence Analyst (DAX focused)

AST

Tacoma, WA • On-site

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

Job Summary:
AST is a company that enhances the efficiency and safety of aseptic manufacturing processes for the Life Science Industry. They are seeking a motivated and analytical Business Intelligence Analyst to support reporting, data analysis, and business decision-making across the organization.
Responsibilities:
• Build, maintain, and enhance Power BI reports and dashboards.
• Develop DAX measures, calculated fields, and KPIs to support business reporting needs.
• Create data visualizations that clearly communicate trends, performance, and opportunities.
• Proactively identify new reporting opportunities that provide value to stakeholders.
• Analyze data to identify trends, patterns, risks, and opportunities.
• Support ad hoc reporting and analytical requests across departments.
• Assist leaders in understanding business performance through data-driven insights.
• Develop and track key performance indicators (KPIs).
• Validate data accuracy and investigate discrepancies.
• Build & perform routine audits of data in reports/dashboards.
• Conduct routine audits of reports and dashboards to ensure reliability.
• Maintain documentation for reports, calculations, and data sources.
• Gather reporting requirements from stakeholders and translate business needs into reporting solutions.
• Partner with teams to improve data accessibility and reporting effectiveness.
• Train and support end users on Power BI dashboards and reporting tools.
• Promote data-driven decision-making throughout the organization.
• Identify opportunities to improve reporting processes, automation, and data quality.
• Learn and apply Power BI and reporting best practices.
• Support special projects and other analytics initiatives as needed.
• Stay current on emerging business intelligence tools and technologies.
• Other duties as assigned.
Qualifications:
Required:
• Bachelor's degree in Business Analytics, Information Systems, Computer Science, Statistics, Mathematics, or a related field.
• 1–3 years of experience in data analysis, reporting, business intelligence, or a related field (internships may be considered).
• Experience with Microsoft Excel, including PivotTables, formulas, and data analysis.
• Familiarity with Power BI, Tableau, or similar reporting tools.
• Basic understanding of SQL and relational databases.
• Strong analytical, problem-solving, and organizational skills.
• Ability to communicate findings and insights to both technical and non-technical audiences.
• Experience with Power BI, DAX, and Power Query.
• Familiarity with Microsoft Power Platform tools.
• Exposure to data visualization best practices and KPI development.
• Experience working with large datasets and multiple data sources.
• Must be legally authorized to work in the United States without restriction.
• Must be willing to take and successfully pass a drug test.
• Must be willing to submit and successfully pass a background check.
Company:
AST is a technology leader specializing in advanced aseptic filling and closing systems. Founded in 1965, the company is headquartered in Tacoma, USA, with a team of 51-200 employees. The company is currently Growth Stage.