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Sql Python Excel Power Bi Tableau Jobs in Phoenix, AZ

Dlapiper

Sr Data Analyst

Phoenix, AZ · Hybrid

$85K - $107K/yr

Key skills include proficiency in SQL, Python, DAX, advanced data analysis, and strong presentation ... Utilize Power BI and other advanced analytics tools to deliver comprehensive and high-impact ...

eFulgent

SQL Server Database Administrator

Phoenix, AZ · On-site

$49.75 - $62/hr

Power BI dataset & gateway configuration * Azure database VM management * SQL Server Always On configuration Responsibilities * Manage database backup, recovery, and disaster recovery * Design and ...

Sprouts Farmers Market

Sr. Financial Analyst

Phoenix, AZ · On-site

$84K - $105K/yr

Automate reporting and analysis through advanced Excel, Power BI, Workday/Adaptive or other ... Proficiency with Power BI, Tableau, SQL, or other analytics tools. * Experience working with large ...

Sprouts Farmers Market

Sr. Financial Analyst

Phoenix, AZ · On-site

$84K - $105K/yr

Automate reporting and analysis through advanced Excel, Power BI, Workday/Adaptive or other ... Proficiency with Power BI, Tableau, SQL, or other analytics tools * Experience working with large ...

Prophecy Technologies

Data Product Owner

Phoenix, AZ · On-site

Proficiency in SQL and data analysis. Experience with BI and visualization tools such as Power BI| Tableau| Looker| or similar. Strong stakeholder management and communication skills. Ability to ...

JDA

Sales Operation Business Partner

Scottsdale, AZ · Remote

$105K - $132K/yr

Strong analytics skills - proficient with Excel and at least one BI tool (Power BI, Tableau) and comfortable with SQL for data queries * Demonstrated ability to translate data into actionable ...

Invitationhomes

Specialist, Asset Management

Tempe, AZ · On-site

Experience with data visualization in Tableau or Power BI preferred * Comfort working with AI and ... Working proficiency in Python or SQL for data querying, manipulation, and analysis; ability to ...

New

Kla

Spares Demand Planner

Chandler, AZ · On-site

$45K - $77K/yr

Proficiency in Microsoft Excel and PowerPoint . * Exposure to ERP, planning, reporting, or data visualization tools such as SAP, Power BI, Tableau, SQL, Python, or similar tools is a plus. * Ability ...

KLA Corporation

Spares Demand Planner

Chandler, AZ · On-site

$45K - $77K/yr

Proficiency in Microsoft Excel and PowerPoint . * Exposure to ERP, planning, reporting, or data visualization tools such as SAP, Power BI, Tableau, SQL, Python, or similar tools is a plus. * Ability ...

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All JobsSql Python Excel Power Bi Tableau JobsSql Python Excel Power Bi Tableau Jobs in Phoenix, AZ

Sql Python Excel Power Bi Tableau information

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

As of Aug 10, 2026, the average hourly pay for sql python excel power bi tableau in Phoenix, AZ is $55.84, according to ZipRecruiter salary data. Most workers in this role earn between $46.06 and $65.87 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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Sql Python Excel Power Bi Tableau jobs near you

Data Engineer

Stellar IT Group

Phoenix, AZ • On-site

$113K - $136K/yr

Full-time

Re-posted 21 days ago

Job description

Overview:
Job Title: Data Engineer
Location: Phoenix, AZ(Hybrid)
Job Type: FTE
Key Responsibilities
Data Platform & Pipeline Development
  • Design, develop, and maintain cloud-native data pipelines using Databricks, Microsoft Azure Data Factory, and Microsoft Fabric to support data integration and analytics solutions.
  • Implement incremental and real-time data ingestion strategies using a medallion architecture for data lake storage.
  • Write, optimize, and maintain complex SQL queries to transform, integrate, and analyze data across enterprise systems.
  • Develop solutions with a focus on scalability, maintainability, testability, and long-term operability within a continuous delivery mindset.

Data Operations & Reliability
  • Support and troubleshoot legacy data platforms built on SSIS and SQL Server, ensuring high availability and performance of critical data processes.
  • Identify, troubleshoot, and resolve data integration and data quality issues to ensure reliable production data delivery.
  • Contribute to observability, automated validation, and CI/CD pipelines to support fast feedback and safe releases.

Agile Collaboration & Engineering Practices
  • Collaborate daily with product owners, QA, and engineers through Scrum ceremonies including standups, backlog refinement, sprint planning, sprint reviews, and retrospectives.
  • Participate in proof-of-concept efforts, technical spikes, and design discussions, providing thoughtful technical analysis and pragmatic recommendations.
  • Apply XP engineering practices such as pairing, incremental delivery, continuous refactoring, and shared code ownership to maintain high-quality, evolvable systems.
  • Clearly communicate technical concepts, risks, tradeoffs, and progress to both technical and non-technical stakeholders.

Requirements
Required Qualifications
  • 5+ years of experience designing and building data solutions.
  • Strong proficiency in SQL and Python for data analytics and transformation.
  • Hands-on experience with ETL pipeline development and automation.
  • Solid understanding of data lake architecture and design principles.
  • Experience working on Agile teams (Scrum, XP, or similar), with regular participation in standups, sprint planning, refinement, reviews, and retrospectives.
  • Comfort operating in highly collaborative environments with frequent verbal and written communication across engineering, product, and QA teams.
  • Ability to break work into small, iterative deliverables and adapt quickly based on feedback and changing priorities.
  • Strong ownership mindset, including accountability for the quality, reliability, and maintainability of delivered solutions.

Preferred Qualifications
  • Experience with Azure cloud services and cloud-based ETL tools.
  • Familiarity with data visualization tools such as Power BI or Tableau.
  • Understanding of event-driven architectures, including queues, batch processing, and pub/sub models.
  • Exposure to NoSQL databases such as MongoDB or Cassandra.
  • Experience working on product engineering teams delivering customer-facing or operationally critical systems.
  • Familiarity with modern engineering practices inspired by XP, including automated testing, pairing, refactoring, and continuous integration.
  • Experience operating systems in production environments with uptime, reliability, and observability expectations.

Bonus Points For
  • Experience in Data Science or Machine Learning, particularly in model deployment or feature engineering.
  • Experience contributing to engineering standards, documentation, or continuous improvement initiatives within an Agile team.

Skills:
SQL,Python

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