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

Return Pro

Data Engineer

Aventura, FL

$110K - $133K/yr

You will be responsible for architecting scalable data and analytic systems, ensuring data ... Utilize Python and SQL to develop efficient, production-ready code for data pipelines and ...

Ci

Data Analyst

Miami, FL

Proficiency in advanced data tooling, including SQL, DBT, and Tableau, as well as data modeling and data quality frameworks. * Advanced Excel modeling skills preferred. * Strong analytical, problem ...

Gopuff

Data Analyst, Delivery Operations

Aventura, FL · On-site

Strong SQL skills - you're comfortable writing queries from scratch to answer ambiguous business ... Basic coding experience (Python or similar) is a plus but not required Why This Role, Why Now ...

Gopuff

Data Analyst, Delivery Operations

Aventura, FL · Hybrid

Strong SQL skills - you're comfortable writing queries from scratch to answer ambiguous business ... Basic coding experience (Python or similar) is a plus but not required Why This Role, Why Now ...

Gopuff

Data Analyst, Delivery Operations

Aventura, FL · Hybrid

Strong SQL skills -- you're comfortable writing queries from scratch to answer ambiguous business ... Basic coding experience (Python or similar) is a plus but not required Why This Role, Why Now ...

ReturnPro

Data Engineer

Aventura, FL

$109K - $131K/yr

Software Development and Automation · Utilize Python and SQL to develop efficient, production ... Analysts) to meet business objectives. · Drive innovation by evaluating and integrating emerging ...

ReturnPro

Data Engineer

Aventura, FL

$110K - $133K/yr

Software Development and Automation • Utilize Python and SQL to develop efficient, production ... Engineers, Analysts) to meet business objectives. • Drive innovation by evaluating and ...

ReturnPro

Data Engineer

Aventura, FL · On-site

$109K - $131K/yr

Software Development and Automation • Utilize Python and SQL to develop efficient, production ... Engineers, Analysts) to meet business objectives. • Drive innovation by evaluating and ...

Chewy

Pricing Data Analyst

Plantation, FL

Working knowledge of SQL required * Experience using dashboards and reports, preferably Tableau, to ... Python or VBA) is a plus If you have a disability under the Americans with Disabilities Act or ...

Carisam

Data Analyst/Engineer

Miami, FL · On-site

... SQL, Power BI, Excel, or similar analytical tools • Understanding of data pipelines, APIs, and system integrations • Strong problem‑solving skills and ability to manage multiple priorities • ...

Danaher

Digital Analyst Internships

Miami, FL

$94K - $111K/yr

About Digital Analyst Roles at Danaher Are you passionate about data, customer experience, and ... Basic programming or scripting experience in Python, SQL, or JavaScript * Experience with Sitecore ...

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All JobsData Analyst Python Sql JobsData Analyst Python Sql Jobs in Miami, FL

Data Analyst Python Sql information

See Miami, FL salary details

$32.5K

$79K

$130.1K

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 Miami, FL is $79,041.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,800.00 and $92,800.00 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 are popular job titles related to Data Analyst Python Sql jobs in Miami, FL? For Data Analyst Python Sql jobs in Miami, FL, the most frequently searched job titles are:
What job categories do people searching Data Analyst Python Sql jobs in Miami, FL look for? The top searched job categories for Data Analyst Python Sql jobs in Miami, FL are:
What cities near Miami, FL are hiring for Data Analyst Python Sql jobs? Cities near Miami, FL with the most Data Analyst Python Sql job openings:
Data Analyst Python Sql jobs near you
Infographic showing various Data Analyst Python Sql job openings in Miami, FL as of June 2026, with employment types broken down into 1% Locum Tenens, 88% Full Time, 7% Part Time, and 4% Contract. Highlights an 83% Physical, 7% Hybrid, and 10% Remote job distribution, with an average salary of $79,041 per year, or $38 per hour.

Data Engineer

Return Pro

Aventura, FL

$110K - $133K/yr

Other

Posted 11 days ago

Job description

Data Engineer

FL Miami - Aventura, FL 33180

Overview

Position Type Full Time Job Shift HQ: Standard 9am to 6pm

Description

We are seeking an experienced Data Engineer to lead the design, development, and optimization of end-to-end data pipelines and cloud-based solutions. You will be responsible for architecting scalable data and analytic systems, ensuring data integrity, and implementing software engineering best practices and patterns. The ideal candidate has a strong background in ETL, big data technologies, and cloud services, with a proven ability to drive complex projects from concept to production.

Key Responsibilities
  • Data Architecture and Engineering
  • Design and implement scalable data pipelines for data ingestion, transformation, and storage.
  • Architect and optimize data lakes and data warehouses to support analytics and reporting needs.
  • Develop robust ETL processes to integrate structured and unstructured data from diverse sources.
  • Ensure high data quality through cleaning, validation, and transformation techniques.
  • Cloud and Big Data Solutions
  • Lead the implementation of big data frameworks such as Hadoop and Spark for processing large datasets.
  • Develop and optimize solutions on cloud platforms, including AWS S3, Azure Data Lake, Google BigQuery, and Snowflake.
  • Manage data lakes to facilitate efficient data access and processing for downstream applications.
  • Database and Data Warehousing
  • Design, implement, and manage relational (SQL) and non-relational (NoSQL) database systems.
  • Lead database architecture efforts, including schema design, query optimization, and performance tuning.
  • Oversee the design and management of data warehouses, ensuring reliability, scalability, and security.
  • Software Development and Automation
  • Utilize Python and SQL to develop efficient, production-ready code for data pipelines and integrations.
  • Implement scripting automation using Bash and PowerShell to streamline workflows.
  • Leverage version control (Git) and follow best practices in code optimization, unit testing, and debugging.
  • Collaboration and Leadership
  • Act as a technical leader, providing guidance on best practices.
  • Collaborate with cross-functional teams (Data Scientists, Software Engineers, Analysts) to meet business objectives.
  • Drive innovation by evaluating and integrating emerging tools, technologies, and frameworks.
  • Establish and maintain CI/CD pipelines to ensure efficient deployment and system reliability.
Qualifications

Required:

· Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field.

· 5+ years of experience as a Data Engineer with expertise in building large-scale data solutions.

· Proficiency in Python, SQL, and scripting languages (Bash, PowerShell).

· Deep understanding of big data tools (Hadoop, Spark) and ETL processes.

· Hands-on experience with cloud platforms (AWS S3, Azure Data Lake, Google BigQuery, Snowflake).

· Strong knowledge of database systems (SQL, NoSQL), database design, and query optimization.

· Experience designing and managing data warehouses for performance and scalability.

· Proficiency in software engineering practices: version control (Git), CI/CD pipelines, and unit testing.

Preferred

· Strong experience in software architecture, design patterns, and code optimization.

· Expertise in Python-based pipelines and ETL frameworks.

· Experience with Azure Data Services and Databricks.

· Excellent problem-solving, analytical, and communication skills.

· Experience working in agile environments and collaborating with diverse teams.

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