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Sql Python Excel Power Bi Tableau Jobs in Florida

Purple Drive

Power BI Developer

Tampa, FL · On-site

Familiarity with Python/R for analytics or automation. * Understanding of data governance ... Query, SQL, Excel, SSRS/SSIS (optional), Azure/GCP/AWS, Databricks, Snowflake, Tableau/Qlik ...

Phaxis

J-1146 - Analyst, CRM Segmentation

Orlando, FL · On-site

$38/hr

... BI, Excel, Power Point) • Strong organizational and time management skills • Strong ... BI, Tableau, or related visualization tools • 4+ years of experience delivering targeted ...

Samprasoft

BI Developer III

Jacksonville, FL · On-site

... SQL and Python. 5+ years of experience and proficiency in automating reporting and building visualizations and some administrative exposure in tools such as IBM Cognos, Pyramid, Power BI, Tableau, or ...

New

Varite

Data Analyst

Hollywood, FL · On-site

Use advanced Excel functions, including pivot tables, macros, and data modeling, to manipulate and ... tools (Power BI, Tableau, etc.) * Proficient in using data analysis tools such as SQL or Python ...

Phoenix Pro Connect, LLC

Data Analyst

Hollywood, FL · On-site

Use advanced Excel functions, including pivot tables, macros, and data modeling, to manipulate and ... tools (Power BI, Tableau, etc.) * Proficient in using data analysis tools such as SQL or Python ...

Apex Systems

SQL Developer

Palm Beach Gardens, FL · On-site +1

$42.75 - $58.75/hr

... such as Power BI, Tableau, or Grafana. * Working knowledge of Excel for data validation and ... Experience with Object-Oriented Programming (OOP) or other scripting languages like Python.

Reli Group Inc

Power BI Intern

Pensacola, FL

$15/hr

Clean, transform, and analyze large datasets from various sources (Excel, SQL, SharePoint, etc ... Exposure to other data visualization tools (e.g., Tableau) preferred * Experience with Microsoft ...

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Sql Python Excel Power Bi Tableau information

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 SQL, Python, Excel, Power BI, and Tableau jobs?

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.

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 Florida? For Sql Python Excel Power Bi Tableau jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Sql Python Excel Power Bi Tableau jobs in Florida look for? The top searched job categories for Sql Python Excel Power Bi Tableau jobs in Florida are:
What cities in Florida are hiring for Sql Python Excel Power Bi Tableau jobs? Cities in Florida with the most Sql Python Excel Power Bi Tableau job openings:
Sql Python Excel Power Bi Tableau jobs near you

Power BI Developer

Purple Drive Technologies

Tampa, FL • On-site

Full-time

Posted 28 days ago

Job description

Overview:
Job Title: Power BI Developer
Location: Tampa, FL
Job Summary
We are looking for a Power BI Developer to design, develop, and maintain business intelligence solutions that turn data into actionable insights. The ideal candidate is strong in Power BI, data modeling, DAX, SQL, and has experience building scalable dashboards and reports for multiple stakeholder groups. You'll work closely with business, data engineering, and product teams to deliver high-quality analytics.
Key Responsibilities
  • Design and develop interactive Power BI dashboards, reports, and scorecards aligned to business KPIs.
  • Build and optimize data models (star/snowflake schemas) using Power Query and Dataflows.
  • Write advanced DAX measures, calculated columns, and time-intelligence logic.
  • Develop reliable ETL/ELT pipelines using Power Query, SQL, and/or Azure/GCP/AWS data services.
  • Connect Power BI to multiple data sources (SQL Server, Oracle, Snowflake, Databricks, APIs, Excel, SharePoint, etc.).
  • Ensure data accuracy, performance tuning, and refresh reliability (incremental refresh, partitions, query optimization).
  • Implement role-based security (RLS), workspace governance, and dataset best practices.
  • Collaborate with business stakeholders to gather requirements and translate them into reporting solutions.
  • Document report logic, data definitions, and deployment steps for knowledge transfer.
  • Support UAT, production rollouts, and ongoing enhancements/bug fixes.
Mandatory Skills / Qualifications
  • 3-8+ years in BI/Analytics with strong Power BI hands-on.
  • Expertise in Power BI Desktop, Power BI Service, Gateways, Workspaces, Apps.
  • Strong DAX and Power Query (M language) skills.
  • Strong SQL knowledge and experience working with relational databases.
  • Solid understanding of data modeling and BI reporting standards.
  • Experience with data refresh scheduling, performance optimization, and troubleshooting.
  • Excellent communication skills to explain insights to technical and non-technical users.
Preferred / Good-to-Have
  • Experience with Azure (ADF, Synapse, ADLS), Databricks, Snowflake, or other cloud data platforms.
  • Familiarity with Python/R for analytics or automation.
  • Understanding of data governance, cataloging, and security practices.
  • Power BI certification (PL-300 or equivalent).
  • Exposure to Agile/Scrum delivery.
Tools & Technologies
Power BI, DAX, Power Query, SQL, Excel, SSRS/SSIS (optional), Azure/GCP/AWS, Databricks, Snowflake, Tableau/Qlik (optional), Git/DevOps.
Soft Skills
  • Strong analytical mindset and attention to detail.
  • Ability to manage multiple dashboards/projects with tight deadlines.
  • Stakeholder management and requirement-gathering confidence.
  • Team player with ownership and problem-solving attitude.

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