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Sql Python Excel Power Bi Tableau Jobs in Florida

... in SQL/SAS, with working knowledge of Python for data manipulation, analysis, and automation tasks. d) Three (3) years of experience with data visualization tools such as Power BI, Tableau, or ...

Data Analyst

Lake Mary, FL · On-site

$55 - $62/hr

... like Tableau Power BI or Excel to present findings to stakeholders Collaboration Work with ... Technical Skills Proficiency in SQL and experience with programming languages such as Python or R ...

SQL Developer

Miami, FL · On-site

$43.25 - $59.25/hr

SQL Developer Location: Miami, FL Duration: 6+ Months Required skills: MSQL, Transact-SQL, SSIS ... However, they will work alongside BI/Tableau developers and knowledge BI software and toolsets is a ...

Expert-level proficiency in SQL, Python, Power BI, VBA, and Alteryx is essential, as these tools are foundational to driving advanced analytics, automation, and scalable data solutions across the ...

Strong proficiency in SQL, Python, Power BI, VBA, and Alteryx is essential, as these tools are foundational to driving advanced analytics, automation, and scalable data solutions across the ...

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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 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 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 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:
Data Visualization Senior Associate - Home Lending Data & Analytics

Data Visualization Senior Associate - Home Lending Data & Analytics

JPMorgan Chase & Co

Jacksonville, FL • On-site

Full-time

Medical, Retirement

Posted 3 days ago


JPMorgan Chase & Co. rating

8.0

Company rating: 8.0 out of 10

Based on 491 frontline employees who took The Breakroom Quiz

58th of 149 rated banks


Job description

You can shape how leaders make decisions by turning complex data into intuitive stories and scalable analytical products. In this role, you will blend visualization expertise with modern data engineering and Python application development to help the Home Lending business move faster with confidence. You will partner closely with stakeholders, contribute to a collaborative team culture, and deliver solutions you can be proud of.

As a Data Visualization Senior Associate at JPMorganChase within Home Lending Data & Analytics, you will design dashboards, reports, and Python-based analytics apps that transform complex home lending data into clear, actionable insights. In this role, you'll blend visualization expertise with modern data engineering and Python development to deliver scalable, web-based analytical solutions that empower leaders to make confident decisions. You'll collaborate closely with stakeholders, translate business needs into effective data models and visual narratives, and help modernize reporting for greater speed, quality, and consistency. Your toolkit will include Power BI, Tableau, Python, SQL, Snowflake, and Amazon Athena, applying strong engineering practices to deliver solutions you can be proud of.

Job responsibilities

  • Design, develop, and maintain interactive dashboards and reports using Power BI and Tableau.
  • Transition reporting use cases toward Python-based web applications for business intelligence and data visualization.
  • Build, optimize, and automate data pipelines and data transformation processes using Python and SQL.
  • Develop custom web-based analytics solutions using Python frameworks such as Dash, Streamlit, or Flask, integrating with enterprise data sources.
  • Partner with business stakeholders to gather requirements, translate needs into technical solutions, and deliver actionable insights.
  • Write, optimize, and troubleshoot complex SQL queries for data extraction, transformation, and analysis.
  • Use Git, GitHub, and Visual Studio Code to support version control, collaboration, and high-quality delivery.
  • Ensure data accuracy, integrity, and appropriate data handling controls across reporting and analytics solutions.
  • Document technical designs, data models, and operational processes to support ongoing maintenance and knowledge sharing.

Required qualifications, capabilities and skills

  • Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field (or equivalent practical experience).
  • Formal training or certification on software engineering concepts and 3+ years applied experience.
  • 3+ years of experience in business intelligence development, data analytics, or a related field.
  • Hands-on experience building dashboards and reports in Power BI and Tableau.
  • Advanced Python proficiency, including building data-driven web applications using Dash, Streamlit, Flask, or Django.
  • Advanced SQL skills, including data modeling and query optimization.
  • Experience with cloud data platforms, including Snowflake and Amazon Athena.
  • Proficiency with Git, GitHub, and Visual Studio Code in a collaborative development environment.
  • Strong analytical, problem-solving, and communication skills, with the ability to work effectively with both technical and non-technical partners.

Preferred qualifications, capabilities and skills

  • Experience with continuous integration and continuous delivery pipelines and modern engineering operations practices.
  • Experience applying artificial intelligence techniques in dashboards, including predictive modeling, trend analysis, or anomaly detection.
  • Familiarity with data governance, data quality, security, and compliance best practices.
  • Experience using Python data libraries such as pandas, polars, and NumPy to work with large data frames.
  • Familiarity with SharePoint and Jira.

Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs. 

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions.  We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. 

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

Equal Opportunity Employer/Disability/Veterans

Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions - all while ranking first in customer satisfaction.

The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.

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