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Sql Python Excel Power Bi Tableau Jobs in Orlando, FL

BNY Mellon

Senior Specialist, Process Audit

Lake Mary, FL · On-site

$70K - $87K/yr

Microsoft 365 (Excel - advanced, PowerPoint, Word; Visio a plus); data/analytics tools such as ... CAMS and CIA, considered beneficial; data/analytics/AI credentials (e.g., Python, Tableau/Power BI ...

Seacoast Bank

Senior FP&A Analyst

Orlando, FL

$79K - $99K/yr

... Power BI development skills required. * Experience with Axiom Financial Reporting preferred. * Ability to extract and analyze data from various sources required. * SQL and Microsoft Excel Power Query ...

AllSTEM Connections

Data Scientist

Orlando, FL · On-site

$107K/yr

... SQL, Python, and R. • Automation & Apps: Experience with process automation (Power Automate) and low-code app development (Power Apps). • Visualization: Expertise in Power BI or Tableau. • ...

Kavaliro

IT Process Improvement Analyst

Maitland, FL · On-site

$66K - $83K/yr

Proficiency in process mapping tools (Visio, Lucidchart, Miro) and data analytics tools (Excel, Power BI, Tableau). * Strong knowledge of workflow optimization, LEAN principles, and continuous ...

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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 14, 2026, the average hourly pay for sql python excel power bi tableau in Orlando, FL is $52.50, according to ZipRecruiter salary data. Most workers in this role earn between $43.32 and $61.92 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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Sql Python Excel Power Bi Tableau jobs near you

Senior Data Analyst - AI & Dermatology Claims Analytics

adcs

Maitland, FL • On-site

$80K - $101K/yr

Full-time

Posted 10 days ago

Job description

SENIOR DATA ANALYST – AI & DERMATOLOGY CLAIMS ANALYTICS

Comprehensive Position Description

Reporting Structure
  • Dual reporting relationship: Technical reporting to Chief Information Officer; Functional reporting to Vice President of FP&A.
  • Acts as liaison between IT, Finance, Revenue Cycle, Clinical Operations and Executive Leadership.
Position Summary
  • Lead analytics initiatives involving large dermatology claims, EMR, revenue cycle and operational datasets.
  • Leverage AI tools and advanced analytics to improve reimbursement, forecasting and operational performance.
Primary Responsibilities
  • Analyze millions of claims records across CPT, HCPCS, ICD-10, payer and provider dimensions.
  • Identify revenue leakage, denial trends, coding opportunities and reimbursement optimization opportunities.
  • Develop AI-assisted analytical workflows using Copilot, Azure AI and LLM technologies.
  • Build executive dashboards and KPI reporting.
  • Support budgeting, forecasting and strategic planning initiatives.
  • Partner with managed care on payer contract performance analytics.
Technical Requirements
  • Advanced SQL
  • Python
  • Power BI
  • Microsoft Fabric
  • Azure Data Services
  • Databricks or Snowflake
  • Healthcare data warehousing
  • Machine learning and predictive analytics
Healthcare Domain Expertise
  • Dermatology claims analytics
  • Revenue cycle management
  • Medical coding
  • Payer reimbursement methodologies
  • Provider productivity analytics
  • Value-based care and population health
AI Competencies
  • Prompt engineering
  • Generative AI assisted reporting
  • Predictive analytics
  • Anomaly detection
  • Natural language processing
  • Model validation and governance
Key Performance Indicators
  • Reimbursement improvement opportunities identified
  • Dashboard adoption
  • Forecast accuracy
  • Reduction in manual reporting effort
  • Denial trend visibility
  • Executive stakeholder satisfaction
Qualifications
  • Bachelor degree in quantitative discipline required.
  • Masters degree preferred.
  • 5+ years healthcare analytics experience preferred.
  • Experience with large healthcare claims datasets required.

Apply