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How much do data analyst sql tableau jobs pay per year?

As of Jun 13, 2026, the average yearly pay for data analyst sql tableau in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

How much does a data analyst make in Tableau?

A data analyst skilled in Tableau typically earns between $60,000 and $85,000 annually, depending on experience, location, and industry. Proficiency in SQL and data visualization skills can influence salary levels, with more experienced analysts earning higher compensation.

What are the key skills and qualifications needed to thrive in the Data Analyst Sql Tableau position, and why are they important?

To thrive as a Data Analyst SQL Tableau, you need robust analytical skills, proficiency in SQL for querying databases, and expertise in data visualization with Tableau. Familiarity with data management systems, knowledge of business intelligence tools, and relevant certifications such as Tableau Desktop Specialist or Microsoft SQL certifications are commonly sought. Strong communication, attention to detail, and problem-solving abilities distinguish top performers in this role. These competencies are essential for interpreting complex data and efficiently transforming insights into actionable business recommendations.

What jobs can I get after learning SQL and Tableau?

A Data Analyst role is a common job for those skilled in SQL and Tableau, involving data querying, visualization, and reporting. These skills also qualify candidates for positions like Business Analyst, Data Scientist, or Data Engineer, especially when combined with knowledge of data management and analytics tools. Certifications in SQL and Tableau can enhance job prospects in data-driven environments across various industries.

What are the typical responsibilities of a Data Analyst SQL Tableau within a business setting?

A Data Analyst SQL Tableau is primarily responsible for extracting, cleaning, and analyzing large datasets using SQL, and then turning those insights into interactive dashboards and reports with Tableau. They often collaborate closely with business stakeholders to understand data needs, help define key performance indicators, and provide actionable recommendations through their visualizations. Daily tasks can involve data validation, troubleshooting reporting issues, and ad hoc analysis to support decision-making across departments. Working in this role gives you a great opportunity to work cross-functionally and develop a deep understanding of both data and business processes, which can be a strong foundation for future growth into more advanced analytics or business intelligence positions.

Does JP Morgan use Tableau?

JP Morgan employs Tableau as part of its data visualization and reporting tools for data analysts and other roles. Knowledge of Tableau is often a valuable skill for data analysts working in financial services firms like JP Morgan. However, specific tool usage can vary by team and project.

What is a Data Analyst SQL Tableau job?

A Data Analyst SQL Tableau job involves analyzing data to help businesses make informed decisions. Professionals in this role use SQL to extract, manipulate, and manage data from databases, and Tableau to create visual reports and dashboards. They identify trends, patterns, and insights to support business strategies. Strong analytical skills, attention to detail, and an understanding of business metrics are essential.

Is AI replacing data analysts?

AI tools can automate routine data processing and visualization tasks, but data analysts using skills in SQL, Tableau, and data interpretation remain essential for complex analysis, strategic insights, and decision-making. AI complements rather than replaces the role, requiring analysts to adapt by developing advanced analytical and technical skills.
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Data Analyst Sql Tableau jobs near you

Business Analyst (SQL, Tableau, Python)

Prophecy Technologies

Raleigh, NC

Other

Posted 4 days ago

Job description

Job Summary
The Business Analyst will leverage SQL, Tableau, and Python to perform data-rich analyses, develop complex models, and support business decision-making across large, multi-regional organizations. The role involves translating business needs into technical requirements, leading software and system implementations, and communicating analytical outcomes effectively to both technical and non-technical stakeholders.
Key Responsibilities
  • Perform hands-on data analysis and modeling using SQL, Tableau, and Python.
  • Define technical requirements and lead software/system implementations across multiple regions.
  • Translate business objectives into actionable insights and technical solutions.
  • Communicate analytical outcomes, technical challenges, and recommendations clearly to business and technical teams.
  • Lead impactful programs independently under concurrent deadlines.
  • Develop, maintain, and optimize dashboards and visualizations to support business decision-making.
  • Apply knowledge of supply chain models and heuristics to solve complex analytical problems.
  • Collaborate with cross-functional teams, acting as a bridge between business owners and technical teams.
Required Skills & Experience
  • 6+ years of hands-on experience with SQL, Tableau, and Python in data-rich environments.
  • Experience with relational databases and advanced SQL queries.
  • Ability to lead and manage programs under tight deadlines.
  • Strong cross-functional communication skills, able to explain technical concepts to business stakeholders.
  • Experience defining technical requirements and leading system implementations across large organizations.
  • Knowledge of supply chain models and heuristics for quantitative problem-solving.
Desirable Skills
  • Advanced expertise in BI data visualization with Tableau.
  • Experience with SQL Server 2012 Development or similar platforms.
  • Strong business analysis capabilities, including stakeholder management and process optimization.

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