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Sql Python Excel Power Bi Tableau Jobs in Pittsburgh, PA

3B Staffing LLC

Data analyst

Pittsburgh, PA · Hybrid

... platforms in SQL, Spark, and Python. Experience working with relational databases, big data ... Excel skills. Experience in data visualization tools like Tableau, Elastic Stack, and Power BI.

New

3B Staffing LLC

Data analyst

Pittsburgh, PA · Hybrid

... platforms in SQL, Spark, and Python. Experience working with relational databases, big data ... Excel skills. Experience in data visualization tools like Tableau, Elastic Stack, and Power BI.

New

CCN Pharmacy

Sr SQL Developer

Pittsburgh, PA · On-site

$120K - $150K/yr

Develop and maintain Power BI reports and dashboards, ensuring accuracy, usability, and ... Excel, printers, calculators, fax machines, and other pharmacy-related equipment * Ability to walk ...

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All JobsSql Python Excel Power Bi Tableau JobsSql Python Excel Power Bi Tableau Jobs in Pittsburgh, PA

Sql Python Excel Power Bi Tableau information

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$10

$54

$75

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

As of Aug 13, 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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What cities near Pittsburgh, PA are hiring for Sql Python Excel Power Bi Tableau jobs? Cities near Pittsburgh, PA with the most Sql Python Excel Power Bi Tableau job openings:
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.

Software Engineer Lead - Axiom

System One

Pittsburgh, PA • On-site

Contractor

Re-posted 26 days ago

Job description

Position Title: Software Engineer Lead - Axiom Location: Pittsburgh, PA/ Strongsville, OH Roles/Responsibilities: • Proficiency in Business Intelligence Tools: Hands-on experience with Tableau Desktop, Tableau Prep, and other BI platforms such as Microsoft Power BI for developing advanced dashboards and analytical reports. • Data Warehouse Expertise: Strong understanding of data warehouse concepts, data modeling techniques, and end-to-end ETL processes. • Advanced SQL Proficiency: Ability to write, optimize, and troubleshoot complex SQL queries for data manipulation and analysis. Experience with very large data sets in Oracle. • Experience with Multiple Databases: Practical experience working with major relational database systems such as Oracle, Teradata, SQL Server, and others. • Prior knowledge of Banking (pref Regulatory) applications dealing with large data sets. MUST HAVE SKILLS: • Tableau • Axiom • Banking-Regulatory Submissions (specifically FR-2052A • Strong understanding of data warehouse concepts, data modeling techniques, and end-to-end ETL processes. • Advanced SQL Proficiency FLEX SKILLS: • Liquidity/14A Regulation • Python Programming: Basic to intermediate Python coding skills for automation, data transformations, or advanced analytics. • Knowledge and experience with DevOps Tools a plus • ETL (Informatica) experience Soft Skills: • Strong Communication verbal & written • Problem solving • Time management Ref: #404-IT Pittsburgh