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Sql Python Excel Power Bi Tableau Jobs in Dallas, TX

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

Required : • Experience in Build and optimize Power BI dashboards for asset performance, sustainability metrics, and decarbonization projects. • Hands-on experience with Power BI, Tableau and SQL ...

SQL * Python or R * Excel * Tableau / Power BI Key Responsibilities * Develop, maintain, and optimize pricing and predictive models using statistical and machine learning techniques. * Analyze large ...

Power BI Developer

Fort Worth, TX · Hybrid

$100K - $120K/yr

... with T-SQL or similar preferred) - Experience working with large datasets in enterprise ... Excel capabilities, including modeling and data analysis - Strong communication skills with the ...

Power BI Developer

Fort Worth, TX · On-site

$100K - $120K/yr

... with T-SQL or similar preferred) - Experience working with large datasets in enterprise ... Excel capabilities, including modeling and data analysis - Strong communication skills with the ...

The ideal candidate will have strong expertise in Power BI, Snowflake, SQL, data modeling, and ... Python. • Excellent communication, collaboration, and stakeholder management skills. • ...

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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 Jul 18, 2026, the average hourly pay for sql python excel power bi tableau in Dallas, TX is $55.63, according to ZipRecruiter salary data. Most workers in this role earn between $45.91 and $65.62 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.
What are popular job titles related to Sql Python Excel Power Bi Tableau jobs in Dallas, TX? For Sql Python Excel Power Bi Tableau jobs in Dallas, TX, the most frequently searched job titles are:
What job categories do people searching Sql Python Excel Power Bi Tableau jobs in Dallas, TX look for? The top searched job categories for Sql Python Excel Power Bi Tableau jobs in Dallas, TX are:
What cities near Dallas, TX are hiring for Sql Python Excel Power Bi Tableau jobs? Cities near Dallas, TX with the most Sql Python Excel Power Bi Tableau job openings:
Infographic showing various Sql Python Excel Power Bi Tableau job openings in Dallas, TX as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 13% Part Time, and 2% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $115,720 per year, or $55.6 per hour.

Data Analyst (1-3 Years) | SQL | Power BI | Excel

AaraTechnologies Inc

Dallas, TX • On-site

Other

Posted 4 days ago


Job description

Data Analyst | SQL | Power BI | Excel | Retail & E-Commerce (1-3 Years Experience)

Company: AaraTech Inc

About the Role

AaraTech Inc is seeking a motivated Data Analyst to support reporting, analytics, and business intelligence initiatives for Retail & E-Commerce operations. In this role, you will analyze sales, customer, and transactional data, develop interactive dashboards, generate KPI reports, and provide actionable insights to support business decisions. You will collaborate with cross-functional teams to improve reporting accuracy, identify trends, and optimize business performance. This opportunity is ideal for early-career professionals looking to build expertise in data analytics and business intelligence.


Key Responsibilities
  • Analyze retail, e-commerce, sales, and customer datasets to identify business trends.
  • Write SQL queries to extract, clean, validate, and analyze large datasets.
  • Build and maintain interactive dashboards using Power BI or Tableau.
  • Develop KPI reports and business performance dashboards.
  • Perform data validation, data quality checks, and data reconciliation.
  • Create recurring and ad-hoc reports for business stakeholders.
  • Analyze sales performance, revenue, customer behavior, and conversion metrics.
  • Assist with data cleaning, transformation, and documentation.
  • Collaborate with business teams to gather reporting requirements.
  • Present analytical findings using clear visualizations and reports.
  • Support reporting automation and process improvement initiatives.
  • Maintain data accuracy, consistency, and integrity across reporting systems.

Required Qualifications
  • Bachelor's degree in Computer Science, Information Systems, Business Analytics, Statistics, Mathematics, or a related field.
  • 1-3 Years of experience in Data Analysis, Business Intelligence, or Reporting.
  • Strong SQL skills for querying and analyzing data.
  • Advanced proficiency in Microsoft Excel, including Pivot Tables, VLOOKUP/XLOOKUP, INDEX-MATCH, and formulas.
  • Experience developing dashboards using Power BI or Tableau.
  • Understanding of data validation, data quality, and reporting concepts.
  • Basic understanding of Business Intelligence (BI) principles.
  • Strong analytical, problem-solving, and critical-thinking skills.
  • Excellent communication and stakeholder collaboration skills.
  • Experience working with retail or e-commerce data is preferred.

Skills

Retail Analytics, E-Commerce Analytics, Data Analysis, Business Intelligence (BI), SQL, SQL Server, MySQL, Advanced Excel (Pivot Tables, VLOOKUP, XLOOKUP, INDEX-MATCH, Power Query, Formulas), Power BI, Tableau, Dashboard Development, Data Visualization, KPI Reporting, Business Reporting, Sales Data Analysis, Revenue Analysis, Customer Behavior Analysis, Conversion Rate Analysis, Transaction Data Analysis, Trend Analysis, Data Cleaning, Data Validation, Data Quality Management, Data Reconciliation, Reporting Automation, ETL Fundamentals, Data Modeling, Data Transformation, Ad-hoc Analysis, Business Metrics, Performance Reporting, Documentation, Stakeholder Communication, Problem Solving, Analytical Thinking, Python (Basic), Microsoft Office.