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Sql Python Excel Power Bi Tableau Jobs (NOW HIRING)

Prophecy Technologies

Senior BI Developer

Urbana, MD · On-site

... Power BI, Tableau, and SQL * Strong expertise in Power BI architecture, DAX, Power Query (M ... Python experience is a plus * Strong communication and problem-solving abilities Competencies

Snowrelic Inc

Lead Data Engineer (BI/ETL) (W2)

Glen Lyn, VA · Remote

$104.90K - $138.20K/yr

Modern Data Stack Expertise - Snowflake, SQL, Python, ETL tools (dbt, Airflow). * * BI & Analytics Development - Experience with Power BI, Tableau, or similar tools. * * Enterprise Data Strategy ...

Precision Technologies Corp

BI Architect

Iselin, NJ · On-site

Strong Power BI, Dax, Strong in SQL and data warehousing. At least 15 years' experience and ... Design and implement end-to-end BI solutions using Tableau and Power BI. * Develop semantic models ...

Thomson Reuters

Lead Data Engineer

Eagan, MN · On-site

$116.80K - $140.20K/yr

AI, SQL, Power BI, Tableau, Python, Excel, and PowerPoint. A critical component of this position involves pioneering the integration of advanced AI solutions into our reporting processes to ...

Vytwo

BI Architect

Prosper, TX · On-site +1

$60 - $70/hr

Strong Power BI, Paginated Reports, Dax, Strong in SQL and data warehousing. At least 15 years ... Design and implement end-to-end BI solutions using Tableau and Power BI. * Develop semantic models ...

THOMSON REUTERS

Lead Data Engineer

Eagan, MN · Hybrid

$116.80K - $140.20K/yr

AI, SQL, Power BI, Tableau, Python, Excel, and PowerPoint. A critical component of this position involves pioneering the integration of advanced AI solutions into our reporting processes to ...

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

As of Jun 1, 2026, the average hourly pay for sql python excel power bi tableau in the United States is $56.24, according to ZipRecruiter salary data. Most workers in this role earn between $46.39 and $66.35 per hour, depending on experience, location, and employer.

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.

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Sql Python Excel Power Bi Tableau jobs near you
Infographic showing various Sql Python Excel Power Bi Tableau job openings in the United States as of May 2026, with employment types broken down into 85% Full Time, 10% Part Time, 4% Contract, and 1% Nights. Highlights an 74% Physical, 4% Hybrid, and 22% Remote job distribution, with an average salary of $116,980 per year, or $56.2 per hour.

Senior BI Developer

Prophecy Technologies

Urbana, MD • On-site

Full-time

Posted 24 days ago

Job description

Job Summary
We are seeking a Senior BI Developer with strong expertise in Power BI, Tableau, and Data Engineering to design and deliver advanced dashboards, reporting solutions, and scalable data pipelines. This role requires close collaboration with cross-functional teams to provide actionable insights, optimize BI performance, and support enterprise-wide analytics initiatives. The ideal candidate will bring architect-level experience in BI tools and Azure data services.
Location
Urbana, MD
Experience
8-10 Years
Key Responsibilities
  • Design and develop interactive dashboards and reports using Power BI and Tableau
  • Implement advanced data modeling, DAX calculations, and performance optimization
  • Build and maintain ETL pipelines using Azure Data Factory (ADF) and Azure Databricks
  • Develop and deploy SSAS Tabular models, manage data security, and optimize query performance
  • Integrate BI dashboards into applications while ensuring compliance with security standards
  • Collaborate with stakeholders to gather requirements, document specifications, and align solutions with business goals
  • Provide operational support for BI tools and resolve issues within defined SLAs

Required Skills & Experience
Business Intelligence & Analytics
  • 10+ years of experience in Power BI, Tableau, and SQL
  • Strong expertise in Power BI architecture, DAX, Power Query (M Language), XMLA, and report sharing strategies
  • Advanced experience in Tableau dashboard design and performance optimization

Data Engineering & Azure Stack
  • Hands-on experience with Azure BI stack:
  • Azure Data Factory (ADF)
  • Azure Databricks
  • Azure Analysis Services (SSAS)
  • Azure Data Lake Analytics
  • Azure Data Lake Store (ADLS)
  • Azure Stream Analytics
  • Azure Event Hubs
  • Azure Integration Runtime
  • Proficiency in ETL processes, data modeling, and schema design

Database Technologies
  • Azure SQL
  • MongoDB

Additional Skills
  • Proficiency in SQL; Python experience is a plus
  • Strong communication and problem-solving abilities

Competencies
  • Digital : Microsoft Power BI
  • Business Intelligence & Analytics
  • Data Engineering

Preferred Skills
  • Experience with Looker
  • Exposure to Dynamics 365
  • Experience using DBT
  • Familiarity with Power Apps

Apply