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Sql Python Excel Power Bi Tableau Jobs (NOW HIRING)

Data Architect

Hartford, CT · On-site

$64.25 - $82.75/hr

Talend,PySpark,Amazon Redshift,ETL,ELT,Kafka,Apache Spark,Java,NoSQL,AWS EMR.,data pipeline,Apache NiFI,Kylo,Scripting,Power BI,Tableau,Qlik,data ingestion,wrangling,cleansing,Advanced SQL,SQL,Python ...

Create and maintain Power BI/Tableau/Palantir Foundry dashboards for leadership visibility into ... Strong proficiency with SQL, Python, and/or Spark for data manipulation. * Demonstrated experience ...

SQL/Power BI Developer

Raleigh, NC · On-site

$55 - $60/hr

Familiarity with programming languages like Python, Java, or C# for application integration is a ... platforms, and Excel files. * Excellent communication skills are necessary to work with ...

... DAX, SQL and the M language. • Prior experience in Analysis Services Tabular Modelling, Power Pivot, Power BI Modelling. • Must have experience in other reporting tools like SSRS, Tableau ...

... SQL Servers, SharePoint Lists, Excel Spreadsheets, 3rd party connectors, including advanced BI ... Knowledge of Tableau or broader experience with Microsoft Power Platform is a nice to have (Power ...

BI Developer 3

Lehi, UT · On-site

$52 - $56.33/hr

Power BI Tableau SQL Server / T-SQL Data Modeling ETL Development Databricks Python Data Warehousing Dashboard & Report Development Data Visualization Performance Optimization Pay Range $52.00 - $56 ...

Python API Developer

Irving, TX · On-site

$48.25 - $66.50/hr

Power Bi, Tableau, QlikView. * PostgreSQL. Manikanth Sarian Solutions, Inc. Ph: 732-790-2266 X 105 manikanth.d@sariansolutions.com

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

As of Jun 21, 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 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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What cities are hiring for Sql Python Excel Power Bi Tableau jobs? Cities with the most Sql Python Excel Power Bi Tableau job openings:
What states have the most Sql Python Excel Power Bi Tableau jobs? States with the most job openings for Sql Python Excel Power Bi Tableau jobs include:
Infographic showing various Sql Python Excel Power Bi Tableau job openings in the United States as of June 2026, with employment types broken down into 70% Full Time, 26% Part Time, 3% Contract, and 1% Nights. Highlights an 91% Physical, 3% Hybrid, and 6% Remote job distribution, with an average salary of $116,980 per year, or $56.2 per hour.

Business Intelligence Developer

Seven Seven Software

Newark, NJ • On-site

Full-time

Posted 16 days ago


Job description

Responsibilities:
  1. Create Power BI and Tableau Dashboards to meet complex user requirements and demand.
  2. Performance tuning and aesthetics customization to meet user expectations.
  3. Develop and implement design best practices to ensure a seamless user-experience for business stakeholders.
  4. Transform complex reporting needs into technical specifications, including calculations, custom groups, parameters, filtering criteria, aggregations etc. Breakdown complex requirements into user stories, and drive delivery with the product team
  5. Work with the business on managing Power BI & Tableau user permissions, performance troubleshooting, and managing general help inquiries.
  6. Develop and Test Python and Custom API-related Workflows to build on the capabilities of the Power BI and Tableau Platform.
  7. Work with Tableau for support, ticket resolution, feature requests and defect tracking.
  8. Demonstrate strong backend platform expertise and front-end consultancy capability
  9. Recommend best practices from both a technical and process perspective as related to Power BI and Tableau development.
  10. Groom large datasets for optimal performance and maintainability
  11. Troubleshoot issues as they occur, identify criticality and impact, and provide appropriate workarounds

Qualifications:
  1. 5+ years of Power BI application development experience including visualizations, parameters, and report optimization
  2. 3+ years of Tableau application development experience, including visualizations, parameters, and report optimization
  3. 5+ years of hands-on SQL Experience
  4. 3+ years of working on Power BI or Tableau Administration Responsibilities (Permissions, Server Maintenance and upgrades, Monitoring)
  5. 3+ years working in Python, Pandas Data Frames, API-driven workflows.
  6. Expertise across multiple BI platforms and data visualization tools include Tableau and Power BI
  7. Strong experience with performance tuning business intelligence and database platforms for maximum performance in each technical configuration
  8. Expertise with multiple database platforms including relational databases (ie. SQL Server and Oracle) as well as cloud-based data warehouses such as Microsoft Fabric and Snowflake
  9. Experience with both server and desktop-based data visualization tools
  10. Expertise with managing and mining very large internal and external data sets
  11. Experience with sourcing external data sets to meet business needs
  12. Demonstrated experience with testing business hypotheses, asking the right questions to provoke thoughts from business users and ultimately using data to test and validate hypothesis
  13. Very strong experience with quickly building data visualization worksheets and dashboards to analyze, view and interpret data sets
  14. Hands-on experience with Python for building automations for business processes
  15. Demonstrated experience with using predictive, prescriptive and descriptive data analytics to test, question and solve business problems
  16. Have a consulting mindset when working with internal clients across multiple departments of the organization
  17. Ideally familiar with financial services datasets across investment, product and distribution functions - not essential but highly desirable
  18. Bachelor's degree in Computer Science or equivalent, with a strong preference in a Data-centric major.

Job Requirements
Responsibilities:
  1. Create Power BI and Tableau Dashboards to meet complex user requirements and demand.
  2. Performance tuning and aesthetics customization to meet user expectations.
  3. Develop and implement design best practices to ensure a seamless user-experience for business stakeholders.
  4. Transform complex reporting needs into technical specifications, including calculations, custom groups, parameters, filtering criteria, aggregations etc. Breakdown complex requirements into user stories, and drive delivery with the product team
  5. Work with the business on managing Power BI & Tableau user permissions, performance troubleshooting, and managing general help inquiries.
  6. Develop and Test Python and Custom API-related Workflows to build on the capabilities of the Power BI and Tableau Platform.
  7. Work with Tableau for support, ticket resolution, feature requests and defect tracking.
  8. Demonstrate strong backend platform expertise and front-end consultancy capability
  9. Recommend best practices from both a technical and process perspective as related to Power BI and Tableau development.
  10. Groom large datasets for optimal performance and maintainability
  11. Troubleshoot issues as they occur, identify criticality and impact, and provide appropriate workarounds

Qualifications:
  1. 5+ years of Power BI application development experience including visualizations, parameters, and report optimization
  2. 3+ years of Tableau application development experience, including visualizations, parameters, and report optimization
  3. 5+ years of hands-on SQL Experience
  4. 3+ years of working on Power BI or Tableau Administration Responsibilities (Permissions, Server Maintenance and upgrades, Monitoring)
  5. 3+ years working in Python, Pandas Data Frames, API-driven workflows.
  6. Expertise across multiple BI platforms and data visualization tools include Tableau and Power BI
  7. Strong experience with performance tuning business intelligence and database platforms for maximum performance in each technical configuration
  8. Expertise with multiple database platforms including relational databases (ie. SQL Server and Oracle) as well as cloud-based data warehouses such as Microsoft Fabric and Snowflake
  9. Experience with both server and desktop-based data visualization tools
  10. Expertise with managing and mining very large internal and external data sets
  11. Experience with sourcing external data sets to meet business needs
  12. Demonstrated experience with testing business hypotheses, asking the right questions to provoke thoughts from business users and ultimately using data to test and validate hypothesis
  13. Very strong experience with quickly building data visualization worksheets and dashboards to analyze, view and interpret data sets
  14. Hands-on experience with Python for building automations for business processes
  15. Demonstrated experience with using predictive, prescriptive and descriptive data analytics to test, question and solve business problems
  16. Have a consulting mindset when working with internal clients across multiple departments of the organization
  17. Ideally familiar with financial services datasets across investment, product and distribution functions - not essential but highly desirable
  18. Bachelor's degree in Computer Science or equivalent, with a strong preference in a Data-centric major.