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Sql Python Excel Power Bi Tableau Jobs in Portland, OR

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 ...

Proficiency in data analysis tools (e.g., Excel, SQL, Python, or similar) * Experience with data visualization tools (e.g., Power BI, Tableau) preferred * Strong analytical, problem-solving, and ...

Preferred Certifications Programming Language/s Certification (SQL, Python, or similar) Knowledge ... Power BI, Tableau, Qlik, advanced excel / PowerPoint or similar; ability to build stakeholder-ready ...

Senior Data Engineer

Portland, OR · Remote

$112K - $152K/yr

... SSIS, SSAS, Power Apps, Power Automate, Power BI, and Python. * Strong analytical and problem ... Proficiency with Microsoft Office products and related tools such as Excel, SSRS, Power Apps and ...

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Sql Python Excel Power Bi Tableau information

See Portland, OR salary details

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

As of Jul 10, 2026, the average hourly pay for sql python excel power bi tableau in Portland, OR is $59.64, according to ZipRecruiter salary data. Most workers in this role earn between $49.18 and $70.34 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 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 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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Lead Data Analyst (SQL, Python, Tableau, PowerBI)

MDAEdge

Beaverton, OR • On-site

Full-time

Posted 18 days ago


Job description

Job Summary:
MDAEdge is seeking a highly technical and self-motivated Lead Data Analyst with strong data storytelling skills to develop end-to-end reporting solutions for a global sports initiative. The role involves working closely with product engineering, supply chain, and manufacturing teams to design scalable data workflows and business dashboards that drive data-informed decision-making.
Responsibilities:
• Lead the design and development of end-to-end reporting and analytics solutions.
• Build and maintain ETL pipelines to enable data ingestion, enrichment, and transformation.
• Design and implement data ingestion processes, including handling user-managed files such as Excel.
• Develop and maintain interactive dashboards and reports using Tableau or Power BI.
• Collaborate with engineering and supply chain teams to define and refine data requirements.
• Translate complex technical data into clear insights for executive stakeholders.
• Ensure accuracy, accessibility, and timely delivery of all reporting outputs.
• Support Agile/Scrum-based project execution and data-driven decision-making.
Qualifications:
Required:
• Bachelor's degree preferred
• 8+ years of experience as a Data Analyst or Data Engineer
• Strong proficiency in SQL and Python
• Expertise with Power BI or Tableau for data visualization
• Experience with Data Lakehouse platforms (Databricks, Snowflake, etc.)
• Experience working within supply chain or manufacturing environments
• Excellent communication skills and ability to translate technical insights for business leaders
• Strong problem-solving ability and business acumen
Preferred:
• Experience with cloud platforms (Azure, AWS, or GCP)
• Knowledge of CI/CD pipelines for data workflows
• Background in sports analytics or event-based reporting
• Experience collaborating across global, cross-functional teams
• Ability to showcase prior visualization projects via a public portfolio (e.g., Tableau Public)
Company:
The world doesn't have a talent shortage. It has a talent alignment problem. MDA Edge exists to fix that. Founded in , the company is headquartered in Sheridan, WY, US, , with a team of 51-200 employees. The company is currently Growth Stage.