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Data Analyst Python Sql Jobs in Port Saint Lucie, FL

Jj

Staff Data Engineer

Palm Beach Gardens, FL · On-site

Lead hands-on development and technical reviews with Databricks, PySpark, Spark SQL, Python, SQL ... Advanced Analytics, Agility Jumps, Analytical Reasoning, Coaching, Critical Thinking, Data ...

New

Access Labs LLC

Salesforce Developer/Engineer

Jupiter, FL · On-site

$54.25 - $71.75/hr

Salesforce, Apex, Lightning Web Components, C#, .NET, Java, Python, SQL, JavaScript, or PowerShell ... Strong knowledge of relational databases, SQL development, troubleshooting, and data analysis.

Pursuit Aerospace

Lead Data Scientist

Stuart, FL · On-site

Proficient in SQL, Python, ML modeling, and time-series analytics; hands-on AI-assisted coding against Snowflake tables, pipeline orchestration, GitHub for CI/CD, Azure data platform * Effective AI ...

Pursuit Aerospace

Lead Data Scientist

Stuart, FL · On-site

$144K - $198K/yr

Proficient in SQL, Python, ML modeling, and time-series analytics; hands-on AI-assisted coding against Snowflake tables, pipeline orchestration, GitHub for CI/CD, Azure data platform * Effective AI ...

Varsity Tutors

SQL Tutor

Fort Pierce, FL · Remote

$18 - $40/hr

... data analysis, database administration, and software development careers. * Conceptual Teaching ... Familiar with SQL curricula and common challenges such as understanding join types, writing complex ...

Varsity Tutors

Data Analysis Tutor

Fort Pierce, FL · Remote

$18 - $40/hr

Deep knowledge of data collection methods, data cleaning, descriptive statistics, data visualization, spreadsheet analysis, SQL querying, basic statistical inference, pivot tables, and reporting ...

Access Medical Labs

Salesforce Developer/Engineer

Jupiter, FL · On-site

$54.25 - $71.75/hr

Salesforce, Apex, Lightning Web Components, C#, .NET, Java, Python, SQL, JavaScript, or PowerShell ... Strong knowledge of relational databases, SQL development, troubleshooting, and data analysis.

Varsity Tutors

Data Science Tutor

Fort Pierce, FL · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

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Data Analyst Python Sql information

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$34K

$82.6K

$136K

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

As of Sep 3, 2026, the average yearly pay for data analyst python sql in Port Saint Lucie, FL is $82,638.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What is a data analyst Python SQL?

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?

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.

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 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 are popular job titles related to Data Analyst Python Sql jobs in Port Saint Lucie, FL?

For Data Analyst Python Sql jobs in Port Saint Lucie, FL, the most frequently searched job titles are:

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Cities near Port Saint Lucie, FL with the most Data Analyst Python Sql job openings:

Data Analyst Python Sql jobs near you

Database Analyst

Delan Associates, Inc

Palm Beach Gardens, FL • On-site

Full-time

Posted 28 days ago

Job description

Database Analyst / Data Quality & Requirements Specialist (SQL + Excel)
We're looking for a database-focused analyst with strong SQL (PostgreSQL) skills and a sharp eye for detail. This person is naturally curious, asks why? before how?, and isn't afraid to challenge assumptions to protect data integrity and improve processes. You'll manage, update, and audit databases, partner with stakeholders to gather requirements, and help ensure our data is accurate, reliable, and usable.
This is a great fit for someone who blends hands-on database skills with a business analyst mindsetsomeone who can independently clarify needs, translate them into data logic, and validate results end-to-end.
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Key Responsibilities
Maintain, update, and audit relational databases (PostgreSQL), ensuring accuracy, consistency, and traceability.
Write and optimize SQL queries, including multi-table joins, aggregations, and validation checks.
Perform data quality checks, reconcile discrepancies, and document root causes and fixes.
Build and maintain Excel-based audit tools (pivots, lookups, Power Query as applicable) for reporting and verification.
Partner with internal users to gather requirements, challenge unclear requests, and translate business needs into data definitions and logic.
Create and maintain documentation: table definitions, field mappings, audit results, and change logs.
Support process improvements and controls around data updates, permissions, and governance.
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Required Qualifications
Strong SQL experience, including PostgreSQL (or equivalent with ability to ramp quickly).
Solid understanding of relational database fundamentals (keys, constraints, normalization concepts, data integrity).
Demonstrated experience managing, updating, and auditing datasets/databases.
Advanced Excel skills (filters, pivot tables, XLOOKUP/VLOOKUP, data validation; Power Query is a plus).
Demonstrated experience performing data audits and documenting findings, remediation steps, and outcomes (repeatable + traceable work).
Comfortable owning ambiguous requests and independently questioning stakeholders to gather requirements and confirms data definitions before building.
Can explain logic and assumptions clearly to both technical and non-technical stakeholders.
Shows critical thinking, asks why, identifies risks and edge cases, and proposes better approaches rather than executing blindly.
Proven ability to investigate inconsistencies, ask probing questions, and validate assumptions.
Strong written and verbal communication; comfortable working directly with stakeholders.
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Nice-to-Have Qualifications
Mechanical or engineering background/familiarity (or experience supporting engineering/asset-heavy environments).
Familiarity with AVEVA PI (PI System / PI Data Archive / PI Vision) or time-series data concepts.
Familiarity with IBM Maximo (asset management / work orders / equipment hierarchies).
Familiarity with AWS (RDS, S3, Athena/Glue, IAM concepts, basic cloud data patterns).
Experience acting as a BA: independently gathering requirements, defining acceptance criteria, mapping data sources to outputs.
Familiarity with tools like Quest (e.g., Toad) or data access/auditing tools.