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Sql Python Excel Power Bi Tableau Jobs in Alpine, AL

4pconsultinginc

Data Analytics Analyst 3

Birmingham, AL · On-site

Strong experience with SQL, Python, DAX, Power Query, and Power BI . * Experience with financial data analysis (preferred). * Knowledge of utility operations, engineering, or energy-related datasets ...

4pconsultinginc

Data Analyst II

Birmingham, AL · On-site

Proficiency in data analysis tools (e.g., Excel, SQL, Power BI, Tableau, or similar platforms) * Familiarity with database management concepts * Strong attention to detail and data accuracy

PS Logistics

SQL Developer / BI Analyst

Birmingham, AL · On-site

Join our dynamic team at P&S Transportation as a SQL Developer and BI Analyst. In this role, you ... Design and develop interactive dashboards, reports, and business intelligence solutions using Power ...

PS Logistics

SQL Developer / BI Analyst

Birmingham, AL · On-site

Join our dynamic team at P&S Transportation as a SQL Developer and BI Analyst. In this role, you ... Design and develop interactive dashboards, reports, and business intelligence solutions using Power ...

Huntington

Senior Business Reporting Analyst Lead

Hoover, AL · On-site +1

$79K - $102K/yr

Tableau and Power BI experience required; hands-on practitioner who can personally build reports ... Experience with AWS Athena and SQL. * Experience with Python for reporting automation and data ...

Huntington

Senior Business Reporting Analyst Lead

Hoover, AL · On-site +1

$79K - $102K/yr

Tableau and Power BI experience required; hands-on practitioner who can personally build reports ... Experience with AWS Athena and SQL. Experience with Python for reporting automation and data ...

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Sql Python Excel Power Bi Tableau information

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

As of Aug 18, 2026, the average hourly pay for sql python excel power bi tableau in Alpine, AL is $46.53, according to ZipRecruiter salary data. Most workers in this role earn between $38.37 and $54.90 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 cities near Alpine, AL are hiring for Sql Python Excel Power Bi Tableau jobs?

Cities near Alpine, AL 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 Alpine, AL as of August 2026, with employment types broken down into 82% Full Time, 14% Part Time, 1% Temporary, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $96,783 per year, or $46.5 per hour.

Data Analytics Analyst 3

4pconsultinginc

Birmingham, AL • On-site

Contractor

Re-posted 13 days ago

Job description

Data Analytics Analyst 3

Location:  Birmingham, AL ( HYBRID)

Contract- 3 Years

Client- Alabama Power
 

Job Summary

We are seeking an experienced Data Analytics Analyst (Level 3) with 5–10 years of experience to support enterprise-wide decision-making in the utilities sector. This position is responsible for developing advanced analytics solutions, integrating data from multiple sources, and presenting actionable insights to business and engineering leaders. The ideal candidate has strong technical skills, a background in ETL, SQL, and visualization, and the ability to translate complex datasets into meaningful business recommendations.

Key Responsibilities

  • Data Analysis & Reporting

    • Analyze complex operational and financial datasets to identify patterns, trends, and opportunities.

    • Develop dashboards, reports, and visualizations using Power BI and related tools.

    • Apply statistical and analytical techniques to provide actionable insights for stakeholders across utility operations, finance, and engineering.

  • Data Integration & ETL

    • Extract, transform, and load (ETL) data from multiple sources, ensuring data integrity and accuracy.

    • Develop and optimize queries using SQL, Python, DAX, and Power Query.

    • Maintain and improve data pipelines to support ongoing business operations.

  • Business Support & Collaboration

    • Partner with project managers, engineers, and finance teams to provide data-driven recommendations.

    • Support regulatory, financial, and operational reporting requirements.

    • Present findings clearly to both technical and non-technical stakeholders.

  • Innovation & Process Improvement

    • Explore and implement automation and low/no-code solutions to improve reporting efficiency.

    • Proactively identify opportunities for data-driven improvements in processes, systems, and performance tracking.

Qualifications

  • Education:

    • Bachelor’s Degree in Computer Science, Data Science, Statistics, Engineering, Finance, or related field (required).

  • Experience:

    • 5–10 years of hands-on experience in data analytics, ETL, and dashboard/report development.

    • Strong experience with SQL, Python, DAX, Power Query, and Power BI.

    • Experience with financial data analysis (preferred).

    • Knowledge of utility operations, engineering, or energy-related datasets is a strong plus.

    • Prior experience with Azure, Databricks, or big data technologies is advantageous.