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Sql Python Excel Power Bi Tableau Jobs in Alexandria, LA

Cleco

Asset Management Data Analyst

Pineville, LA

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 ...

Crest Industries

CIS/CS Internship

Pineville, LA · On-site

$13.75 - $18.50/hr

Power App Suite (Power BI, Power Automate, etc.) Microsoft Office (Excel, Word, Outlook) Qualifications: Currently enrolled in a college or university, sophomore level or above . Ability to learn new ...

Crest Industries

CIS/CS Internship

Pineville, LA · On-site

$13.75 - $18.50/hr

Power App Suite (Power BI, Power Automate, etc.) Microsoft Office (Excel, Word, Outlook) Qualifications: Currently enrolled in a college or university, sophomore level or above . Ability to learn new ...

Cleco

EMS Support Analyst

Pineville, LA · On-site

With bold investments in innovativeenergysolutions, we're transforminghow we power ourcommunities ... Python coding, display building, and EMS database administration (MS SQL, PostgreSQL, PI, EDNA ...

Dexterra

Head Chef

Alexandria, LA · On-site

Powered by passionate people, we bring the right teams with the right skills together - offering ... Overseeing ordering, inventory control, and bi-weekly inventory counts * Applying expertise in ...

Dexterra

Experienced Line Cook/Chef de Partie

Alexandria, LA · On-site

$17.50 - $22/hr

Powered by passionate people, we bring the right teams with the right skills together - offering ... Supporting inventory rotation, storage standards, and bi-weekly inventory counts * Applying ...

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See Alexandria, LA salary details

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

As of Aug 19, 2026, the average hourly pay for sql python excel power bi tableau in Alexandria, LA is $51.80, according to ZipRecruiter salary data. Most workers in this role earn between $42.74 and $61.11 per hour, depending on experience, location, and employer.

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.

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 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.

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 popular job titles related to Sql Python Excel Power Bi Tableau jobs in Alexandria, LA?

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Sql Python Excel Power Bi Tableau jobs near you

Asset Management Data Analyst

Cleco Corporate Holdings LLC

Pineville, LA • On-site

Full-time

Posted 17 days ago

Job description

At Cleco, we're not just powering lives-we're powering a cleaner, smarter future for Louisiana. With bold investments in innovative energy solutions, we're transforming how we power our communities: smarter, cleaner, and more sustainable. This is a long-term commitment to our people and our communities because our future-and the future of generations to come-depends on it. If you're ready to make an impact where it matters most, join us at Cleco-where we're Energizing Your Tomorrow.
The Asset Management Data Analyst II is an experienced professional responsible for integrating plant operational and commercial data & analytics into business processes to optimize generation asset performance. This position will leverage analytical skills, business intelligence expertise, and operational & commercial experience to deliver insights and data solutions that enhance operational efficiency, asset health, maintenance optimization, and commercial performance through various means including data visualization dashboards. This role will require a deep understanding of time series data, data governance & integrity strategies, its integration with business data, and its application in monitoring plant performance and supporting maintenance decision-making. This position bridges the gap between Asset Management, Generation Operations, Generation Services, Energy Operations, Corporate Data Analytics/Data Science, and IT to meet business objectives.
Key Responsibilities
  • Champions a corporate culture that emphasizes transparency, integrity, safety, environmental responsibility, employee development, sense of belonging, customer service, and operational excellence.
  • Accelerate the development and implementation of data analytics to support business decision-making.
  • Gather and analyze operational and commercial data to identify trends, patterns, and insights.
  • Monitor and report on the progress of analytics and data management initiatives.
  • Stay up-to-date with industry trends and best practices in data analysis to continuously improve asset performance
  • Collaborate with generation plant teams to understand data requirements, focusing on time series data from operational systems and integrating it with business data for comprehensive insights.
  • Develop and maintain dashboards, reports, and visualizations using BI tools (e.g., Power BI, Tableau) to support operational performance, asset health monitoring, and maintenance strategy development.
  • Analyze time series data to identify trends, anomalies, and opportunities for optimizing equipment performance and improving reliability.
  • Work with plant teams to model asset health metrics and KPIs that inform predictive maintenance and lifecycle strategies.
  • Support data quality initiatives by ensuring time series data is accurate, reliable, and consistent.
  • Participate in the development and optimization of analytics processes, including the integration of operational and business data.
  • Design and maintain data workflows and pipelines, with a focus on ensuring real-time or near-real-time availability of time series data.
  • Collaborate with enterprise data teams to align local plant data strategies with broader enterprise initiatives, including data governance and architecture.
  • Assist in defining roadmap for AI/ML in asset management including anomaly detection methods and digital twin simulations
  • Architect and utilize Azure-based data analytics platform for scalable model development and deployment.

Qualifications
Required Education, Skills & Experience
  • Bachelor's degree in Information Systems, Data Analytics, Computer Science, Engineering, or a related field.
  • 3 - 8 years of experience in a data analytics or business intelligence role preferred.
  • 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 sources.
  • Experience in data integration and workflow optimization, particularly in combining operational and business datasets.
  • Strong analytical and problem-solving skills.
  • Strong experience in generation / commercial operations.
  • Proficiency in data visualization tools (e.g., Power BI) to create dashboards and reports.
  • Knowledge of data management practices and tools.
  • Excellent communication and presentation skills.
  • Ability to work collaboratively with cross-functional teams.
  • Strong organizational and project management skills.
  • Understanding of asset health metrics, predictive maintenance strategies, and their role in enhancing operational efficiency.
  • Familiarity with enterprise data concepts such as data governance, data quality, and data architecture is a strong plus.
  • Ability to translate complex data into insights that support asset health management and maintenance strategies.
  • Experience with Azure data science and big data services (such as Azure Databricks, Azure Machine Learning, Azure Data Lake) or similar cloud platforms (AWS/GCP)
  • Progression to this level is strictly restricted based on critical individual capabilities and business requirements; must be supported by market survey data

Licenses and Certifications
  • Relevant certifications (e.g., Certified Business Analysis Professional (CBAP), Power BI Data Analyst Associate Certification) are a plus but not required.

Key Competencies
BEHAVIORAL
  • Building Partnerships
  • Leading Teams
  • Business Acumen
  • Communication
  • Courage
  • Building Self-Insight
  • Driving for Results
  • Energizing the Organization
  • Driving Execution
  • Building Trusting Relationships
  • Driving Innovation
  • Planning and Organizing
  • Safety
  • Establishing Strategic Direction

TECHNICAL
  • Analytical skills
  • Organizational skills
  • Strategic Planning
  • Data Collection and Analysis
  • Presentation Skills
  • Business Intelligence skills

May perform other duties as assigned.
Salary dependent on experience, skills, education, and training.

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