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Sql Python Excel Power Bi Tableau Jobs in North Carolina

ACI Infotech

Power BI Developer

Charlotte, NC · On-site

... in SQL, DAX and Power BI measures which are accurate and performant on large datasets • MS SQL Server BI Stack, including SSRS and TSQL, Power Query, MDX, PowerBI, and DAX • Work with our ...

Jewelers Mutual Group

Sr BI Developer

Raleigh, NC · On-site

... SQL • 4+ years of experience with cloud-based data platforms (Databricks, Snowflake, BigQuery ... Microsoft Power BI, Tableau, or Looker Certifications • Additional cloud data platform ...

Jewelers Mutual Group

Sr BI Developer

Raleigh, NC · On-site

... SQL * 4+ years of experience with cloud-based data platforms (Databricks, Snowflake, BigQuery ... Microsoft Power BI, Tableau, or Looker Certifications * Additional cloud data platform ...

1 point system

Business Analyst

Charlotte, NC · On-site

... tools (Power BI, Tableau) * Exposure to managed Agile delivery process (Jira, backlog, sprint planning) * Certifications such as CBAP, PMI-PBA, or Agile * Python, PL/SQL, JAVA, would be a plus

Hearst

Senior Power BI Developer

Charlotte, NC · On-site

Build and maintain high-performance SQL queries, views, and stored procedures to support robust ... Expert-level proficiency in Power BI, including advanced DAX, Power Query (M), and complex star ...

UnitedHealth Group

Senior Data Engineer

Raleigh, NC · Remote

$91K - $163K/yr

Architect and optimize complex ETL processesand data pipelines usingDatabricks(Spark, SQL, Python ... Experience with Power BI, Tableau or other visualization tools, including advanced DAX, Power Query ...

UnitedHealth Group

Senior Data Engineer

Raleigh, NC · On-site

$91K - $163K/yr

... Spark, SQL, Python) or other enterprise-scale integration tools to ensure high-performance ... Experience with Power BI, Tableau or other visualization tools, including advanced DAX, Power Query ...

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All JobsSql Python Excel Power Bi Tableau JobsSql Python Excel Power Bi Tableau Jobs in North Carolina

Sql Python Excel Power Bi Tableau information

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.

What are popular job titles related to Sql Python Excel Power Bi Tableau jobs in North Carolina?

For Sql Python Excel Power Bi Tableau jobs in North Carolina, the most frequently searched job titles are:

What job categories do people searching Sql Python Excel Power Bi Tableau jobs in North Carolina look for?

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What cities in North Carolina are hiring for Sql Python Excel Power Bi Tableau jobs?

Cities in North Carolina 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 North Carolina as of August 2026, with employment types broken down into 1% Internship, 85% Full Time, 11% Part Time, 1% Temporary, and 2% Contract. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution.

Power BI Developer

ACI Infotech

Charlotte, NC • On-site

Full-time

Re-posted 15 days ago

Job description

Job Title :- Power BI Developer with Data Engineering Experience
Location - Charlotte, NC, Hybrid
Filltime Role
Responsibilities:
• Participate in discussions with business partners to define key business questions, translate them into necessary requirements documentation and develop visual data-driven solutions which answer those questions
• Develop reports, thoughtful visualizations , dashboards and KPI scorecards using Microsoft's Power BI and Azure stack employing leading visualization techniques
• Perform UX design activities and Power BI navigation features (e.g. bookmarks, drill-throughs) to guide end-users through a data-driven story
• Develop calculations in SQL, DAX and Power BI measures which are accurate and performant on large datasets
• MS SQL Server BI Stack, including SSRS and TSQL, Power Query, MDX, PowerBI, and DAX
• Work with our internal customers to manage User Acceptance Testing (UAT) processes and address their feedback
• Power Query and coding fundamentals (ability to use M language to build loops, pull APIs, etc.)
• Assist with governance and deployment of Power BI , including administration, content distribution/sharing, training and support
• Proficient Data Architecture and Modeling experience (Structuring Tables, Attributes, and Relationships [One-to-One, One-to-Many, Many-to-One, Many-to-Many])
• Champion the leading Power BI design methodology and best practices
• Extract data from various data sources ; perform exploratory data analysis, cleanse, reshape, and aggregate data
• Evangelize data analytics best practices among peers and stakeholders
• Proactively monitor and evaluate the impact of monthly Power BI releases.
• Conduct deep-dive data analysis for business insights and recommendations, including ad hoc analytics for executive-level requests and priorities

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