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Data Analyst Python Sql Jobs in Port Richey, FL (NOW HIRING)

Proficiency in Excel, SQL, data modeling, statistical analysis, and data visualization tools, Power BI, Databricks, others; experience with energy coefficients, conversion and calculations.

Proficiency in Python; experience with C++, Java, or R is beneficial * Familiarity with AI/ML tools ... Strong experience with SQL and relational databases. Physical Requirements The physical demands ...

Proficiency in Python; experience with C++, Java, or R is beneficial * Familiarity with AI/ML tools ... Strong experience with SQL and relational databases. Physical Requirements The physical demands ...

Proficiency in Python; experience with C++, Java, or R is beneficial * Familiarity with AI/ML tools ... Strong experience with SQL and relational databases. Physical Requirements The physical demands ...

Build and maintain enterprise-grade data pipelines using Python, SQL, dbt, Airflow, and Spark ... Optimize SAP HANA Cloud for real-time analytics and AI workloads - including advanced SQLScript ...

... SQL code, R-Markdown and Python. Through the combination of statistical knowledge, AI skills and technical coding languages, a data scientist will be required to complete any assigned analytical ...

Marketing Enablement Analyst Senior

Tampa, FL · On-site

$96K - $119K/yr

Microsoft Excel, Tableau, R, Python, SQL, Snowflake, SAS, Adobe Analytics). * Demonstrated experience in project management. What sets you apart: * Experienced with media/social/audience data ...

Microsoft Excel, Tableau, R, Python, SQL, Snowflake, SAS, Adobe Analytics). * Demonstrated experience in project management. What sets you apart: * Experienced with media/social/audience data ...

Subject matter expert knowledge of programming languages or modeling software packages (Python, SQL ... Hands-on experience with Earnix (pricing versions, data tables, modeling versions, UDAs/custom ...

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Data Analyst Python Sql information

See Port Richey, FL salary details

$30.1K

$73.3K

$120.6K

How much do data analyst python sql jobs pay per year?

As of Jun 19, 2026, the average yearly pay for data analyst python sql in Port Richey, FL is $73,265.00, according to ZipRecruiter salary data. Most workers in this role earn between $55,400.00 and $86,000.00 per year, depending on experience, location, and employer.

How does a Data Analyst using Python and SQL typically collaborate with other departments within an organization?

Data Analysts proficient in Python and SQL frequently work alongside teams such as marketing, product development, finance, and operations. They gather requirements from stakeholders, translate business questions into data queries, and present actionable insights through dashboards or reports. Regular meetings and clear communication are essential to ensure that data solutions align with business goals, and Data Analysts often act as a bridge between technical data teams and non-technical decision makers. This collaborative environment helps drive data-informed decisions across the organization.

What are Data Analyst Python SQL jobs?

Data Analyst Python SQL jobs involve analyzing and interpreting data to help organizations make informed business decisions. These professionals use Python for data manipulation, automation, and visualization, and SQL for querying and managing data stored in relational databases. Typical tasks include data cleaning, building reports, extracting insights, and creating dashboards. Data Analysts often collaborate with other teams to understand data requirements and communicate findings through presentations or visualizations. Proficiency in both Python and SQL is essential for efficiently handling large data sets and solving complex analytical problems.

What are the key skills and qualifications needed to thrive as a Data Analyst with Python and SQL, and why are they important?

To thrive as a Data Analyst specializing in Python and SQL, you need strong analytical skills, statistical knowledge, and proficiency in data manipulation, typically supported by a relevant degree or certification. Expertise in Python for data analysis, SQL for database querying, and experience with visualization tools like Tableau or Power BI are commonly expected. Attention to detail, problem-solving abilities, and effective communication are crucial soft skills for interpreting data and presenting actionable insights. These skills help ensure accurate analysis, impactful reporting, and informed decision-making within organizations.

What is the difference between Data Analyst Python Sql vs Data Scientist?

AspectData Analyst Python SqlData Scientist
Required SkillsExcel, SQL, Python basics, data visualizationAdvanced Python, machine learning, statistical modeling
Work EnvironmentBusiness intelligence, reporting, dashboardsPredictive modeling, research, complex data analysis
Industry UsageFinance, marketing, retail, healthcareTech, finance, research institutions, startups

While Data Analysts with Python and SQL focus on interpreting data, creating reports, and visualizations, Data Scientists build predictive models and perform advanced statistical analysis. Both roles require Python and SQL skills, but Data Scientists typically have a stronger background in statistics and machine learning, making their work more research-oriented.

What job categories do people searching Data Analyst Python Sql jobs in Port Richey, FL look for? The top searched job categories for Data Analyst Python Sql jobs in Port Richey, FL are:
What cities near Port Richey, FL are hiring for Data Analyst Python Sql jobs? Cities near Port Richey, FL with the most Data Analyst Python Sql job openings:
ENERGY DATA & REPORTING ANALYST

ENERGY DATA & REPORTING ANALYST

Gerdau

Tampa, FL

Other

Posted 9 days ago


Gerdau rating

7.7

Company rating: 7.7 out of 10

Based on 64 frontline employees who took The Breakroom Quiz

188th of 518 rated manufacturers


Job description

Energy Data and Reporting Analyst is responsible for collecting, analyzing, and presenting energy-related data to support decision-making, efficiency improvements, and compliance for Gerdau's N.A. Operations. This role bridges technical data analysis with business reporting, ensuring that energy usage, costs, and performance are accurately tracked and communicated.

Core Responsibilities

Data Collection & Management: Gather energy data from internal systems, SAP, utility invoices, and external sources; maintain and update databases and associated dashboards and Power BI.

Analysis & Modeling: Perform statistical and predictive modeling to identify trends, anomalies, and opportunities for energy management; assist Energy Team with forecasts and performance.

Reporting & Visualization: Create detailed reports, dashboards (e.g., Power BI, Databricks, other), and visualizations for internal business stakeholder presentations.

Collaboration: Work with Energy Team, project managers, IT, accounting, finance and other departments to integrate data into energy management reporting systems.

Skills & Qualifications

Education: Bachelor's Energy Management, Engineering, Environmental Science, Data Science, Analytics, or related field jobs.

Technical Skills: Proficiency in Excel, SQL, data modeling, statistical analysis, and data visualization tools, Power BI, Databricks, others; experience with energy coefficients, conversion and calculations.

Analytical Skills: Strong problem-solving, critical thinking, and attention to detail; ability to interpret complex datasets and translate insights into actionable recommendations.

Industry Knowledge: Understanding of energy terms and calculations, markets, regulations, and REC markets.

BASIC FUNCTION:

  • The Analyst/Specialist is responsible for providing decision support through financial and situational analysis. This position supports Gerdau North American Energy and Industrial Gases Team reporting, analytics and special projects and is responsible for supporting the development of business intelligence solutions as well as providing analytical support to departments across the North American business units.
  • The candidate develops and maintains effective business and professional contacts to keep abreast of market conditions, opportunities, and trends.  The candidate will analyze opportunities, create models, develop talking points and other advocacy materials, prepare requests for proposals, contracts, studies of relevant issues, forecasts and maintain adequate files and records to compile periodic reports.
  • Candidate studies and analyzes business unit consumption and requirements for energy and industrial gases as well as related Supplies.  Assists the Energy Team in obtaining competitive bids as required and supports negotiations with supply arrangements under the direction of the Director of Energy. 
  • The candidate will assist in representing the company in commercial, regulatory, and governmental activities necessary to protect and further the interests of Gerdau in areas related to energy.  The candidate will work with professionals, consulting resources and counsel where necessary to secure specialized assistance as required.

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