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Sql Python Excel Power Bi Tableau Jobs in Pittsburgh, PA

Reli Group Inc

Power BI Intern

Pittsburgh, PA · On-site

$15/hr

Clean, transform, and analyze large datasets from various sources (Excel, SQL, SharePoint, etc ... Exposure to other data visualization tools (e.g., Tableau) preferred * Experience with Microsoft ...

Reli Group Inc

Power BI Intern

Pittsburgh, PA

$15/hr

Clean, transform, and analyze large datasets from various sources (Excel, SQL, SharePoint, etc ... Exposure to other data visualization tools (e.g., Tableau) preferred * Experience with Microsoft ...

Tata Consultancy Service Limited

Analyst

Pittsburgh, PA · On-site

$100K - $110K/yr

Strong knowledge of SQL and databases. * Proficiency in Excel (advanced functions, pivot tables). * Experience with data visualization tools (Power BI, Tableau). * Basic programming knowledge (Python ...

GARGI TECHNOLOGIES INC

Data Analyst

Pittsburgh, PA · On-site

Develop dashboards and reports using Power BI or Tableau . * Write and optimize SQL queries for data extraction and reporting. * Use Python for data analysis, automation, and basic machine learning ...

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

As of Aug 8, 2026, the average hourly pay for sql python excel power bi tableau in Pittsburgh, PA is $54.60, according to ZipRecruiter salary data. Most workers in this role earn between $45.05 and $64.42 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
Infographic showing various Sql Python Excel Power Bi Tableau job openings in Pittsburgh, PA as of June 2026, with employment types broken down into 94% Full Time, 1% Part Time, 1% Temporary, 3% Contract, and 1% Nights. Highlights an 82% Physical, 6% Hybrid, and 12% Remote job distribution, with an average salary of $113,566 per year, or $54.6 per hour.

Industrial Engineering Analytics Engineer (Manufacturing Systems & Modeling)

Delan Associates, Inc

Pittsburgh, PA • On-site

$68K - $91K/yr

Full-time

Posted 18 days ago

Job description

Job Description:

Must-Have Skills:
Capacity modeling (OEE, cycle time, bottleneck analysis)
Labor and cost modeling (COGS, LOH, ROI/NPV/IRR)
Manufacturing analytics & process optimization
Simulation tools (FlexSim / AnyLogic / Simio)
Data analytics: Excel (advanced), SQL, Python, BI tools (Power BI/Tableau)
PFEP and material flow modeling
Scenario analysis, sensitivity modeling, and forecasting
AI/ML-based analytics (preferred)

Must-Have Experience:
7+ years in industrial engineering analytics/ manufacturing modeling
Experience building end-to-end IE models (capacity + labor + cost)
Strong exposure to factory operations, throughput optimization, and cost analysis
Experience with business case development and financial modeling
Hands-on work integrating shop-floor data, MES, and analytics systems