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Sql Python Excel Power Bi Tableau Jobs in Katy, TX

Tiger Analytics Inc.

Power BI Architect

Houston, TX · On-site +1

The Power BI Architect will lead the design, strategy, and governance of the enterprise BI platform ... Strong knowledge of Azure Databricks, Synapse, Data Lake, SQL Server. * Hands-on with CI/CD ...

Soni Resources

Data Engineer/Data Scientist

Houston, TX · On-site

$100/hr

Strong programming skills (Python, SQL, R), with experience in big data tools (Spark, Airflow) and BI platforms (Power BI, Tableau, Looker). * Advanced degree in Computer Science, Statistics, or a ...

Tiger Analytics Inc.

Power BI Architect

Houston, TX · Remote

The Power BI Architect will lead the design, strategy, and governance of the enterprise BI platform ... Strong knowledge of Azure Databricks, Synapse, Data Lake, SQL Server. * Hands-on with CI/CD ...

Tiger Analytics Inc.

Power BI Architect

Houston, TX

The Power BI Architect will lead the design, strategy, and governance of the enterprise BI platform ... Strong knowledge of Azure Databricks, Synapse, Data Lake, SQL Server. * Hands-on with CI/CD ...

Insolation Technology Ltd

Data Analyst

Houston, TX · On-site +1

$21 - $26/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Proficiency in data analysis tools such as SQL, Python, R, or similar programming languages. * Experience with data visualization tools (e.g., Tableau, Power BI, or similar). * Strong analytical and ...

Arsenault Inc

Data Analyst

Houston, TX

Python, R/Shiny, Tableau, Power BI * Experience with SQL and other modern data storage technologies ... Proficient in Excel and Power Query * Working knowledge of DAX * Working knowledge of relational ...

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

As of Aug 15, 2026, the average hourly pay for sql python excel power bi tableau in Katy, TX is $51.60, according to ZipRecruiter salary data. Most workers in this role earn between $42.55 and $60.87 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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HRIT Analyst (Level II)

Delan Associates, Inc.

Houston, TX • On-site

Contractor

Re-posted 10 days ago

Job description

Job Description: HRIT Analyst (Level II) - Job Description
Job Summary
Provide operational and technical support for HR technology platforms (e.g., SAP, SuccessFactors) to ensure data integrity, efficient system functionality, and effective reporting. Serve as a key contributor within the HRIT team by supporting system maintenance, troubleshooting issues, assisting with projects, and identifying opportunities for process improvement.
Essential Functions
Maintain the integrity, accuracy, and confidentiality of HR master data within HR systems.
Perform routine data audits and validations to ensure data quality and compliance.
Serve as a liaison between HR, IT, and vendors to support HR system operations and issue resolution.
Support HRIT projects by assisting with requirements gathering, documentation, testing, and implementation activities.
Analyze business processes and recommend incremental system or workflow improvements.
Participate in system testing activities (UAT, regression testing) for upgrades, enhancements, and patches.
Provide functional support and basic configuration assistance for HR systems (e.g., SuccessFactors modules).
Generate standard and ad hoc reports using reporting tools and dashboards.
Assist in maintaining HR dashboards and analytics to support data-driven decision-making.
Perform routine system maintenance activities, including monitoring integrations and resolving errors.
Research and troubleshoot HR system issues and escalate complex problems as needed.
Basic Qualifications
Education:
Bachelor's degree in Information Systems, Human Resources, Business, or related field.
Experience:
2-4 years of experience supporting HR systems or HR technology platforms.
Experience with HRIS platforms such as SAP or SuccessFactors preferred.
Basic experience with reporting tools (e.g., Excel, Power BI, Tableau).
Exposure to system testing, data validation, and process documentation.
Familiarity with data structures and basic SQL is a plus.
Skills:
Strong analytical and problem-solving skills.
Effective communication and interpersonal skills.
Ability to manage multiple priorities and meet deadlines.
Strong attention to detail and data accuracy.
Proficiency in Microsoft Office tools, especially Excel.

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