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Sql Python Excel Power Bi Tableau Jobs in Louisiana

Hands-on experience with BI tools (e.g., Power BI, Tableau, Qlik, etc.) and proficiency in SQL. * Experience working with time series data from SCADA systems, IoT devices, or other industrial data ...

$22 - $25/hr

Proficient in SQL * Experience with AWS Quicksight, Microsoft Power BI, Tableau, and others. * Experience with Python and other programming languages * Experience with AWS or Azure cloud-hosted ...

TSS Data Analyst Senior

Bossier City, LA · Hybrid

$85K - $107K/yr

Agile Methodology, People Leadership, Structured Query Language (SQL), Tableau Desktop, Tableau ... Utilize Power BI, Power Apps, excel, and/or other business intelligence tools * Provide data ...

Data Analyst

Grambling, LA · On-site

$45K - $50K/yr

... Excel, power BI, tableau..etc. Job Duties & Responsibilities The Data Analyst will assist the Director with the following tasks: * Providing accurate and timely collection and dissemination of ...

Data Systems Engineer

Baton Rouge, LA · On-site

$109K - $132K/yr

Power BI and Power Platform * Python * DAX * Microsoft Dynamics D365 (preferred) * Azure DevOps (or similar CI/CD tools) * Git version control * Advanced SQL (T-SQL) * Excel (advanced data ...

AI Data Scientist

Bossier City, LA · On-site

$120 - $160/hr

Ability to design, build, and maintain advanced analytics dashboards (Power BI, Tableau, Looker, or similar) * Experience developing scalable front-end applications using Next.js and modern ...

Showing results 21-40

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.
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AI Intern

Quality Engineering & Surveying, LLC

Denham Springs, LA • On-site

$13.75 - $18.25/hr

Internship

Re-posted 4 days ago


Job description

Quality Engineering & Surveying, LLC (QES) is committed to innovation and leveraging cutting-edge technologies to improve operations, decision-making, and customer experiences. We are seeking a motivated and curious AI Intern to join our team and contribute to real-world artificial intelligence and data-driven projects. Position OverviewAs an AI Intern at QES, you will work alongside experienced professionals to design, develop, and implement AI and machine learning solutions. This role is ideal for someone passionate about emerging technologies, problem-solving, and applying AI in practical business environments. Key Responsibilities of the AI InternAssist in developing and implementing machine learning models and AI solutionsConduct data collection, cleaning, and preprocessing for analysisSupport automation and optimization projects using AI toolsCollaborate with cross-functional teams to identify opportunities for AI integrationPerform research on AI trends, tools, and best practicesAnalyze and present insights and findings to the teamHelp document processes and maintain technical documentationQualificationsCurrently pursuing a degree in Computer Science, Data Science, Artificial Intelligence, Engineering, or a related fieldBasic understanding of machine learning concepts and algorithmsFamiliarity with programming languages such as Python, R, or JavaExperience with libraries/frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) is a plusStrong analytical, problem-solving, and communication skillsAbility to work independently and collaboratively in a team environmentPreferred SkillsExperience with data visualization tools (Power BI, Tableau, etc.)Knowledge of SQL and databasesExposure to natural language processing (NLP) or computer visionFamiliarity with cloud platforms (Azure, AWS, or Google Cloud)What you'll gain as an intern:Hands-on experience working on real AI projectsMentorship from experienced professionalsExposure to industry tools and technologiesOpportunity to build a strong portfolio and professional networkPotential for future employment opportunities
Job Posted by ApplicantPro