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

Data Analyst

Melbourne, FL · On-site

$80K - $120K/yr

Fluency in SQL and especially the linguistic variants that apply to PostgreSQL and AWS Redshift ... Basic automation skills using scripting languages such as VBA, Python, or R. * Solid writing skills ...

Data Analyst

Melbourne, FL · Remote

$80K - $120K/yr

Fluency in SQL and especially the linguistic variants that apply to PostgreSQL and AWS Redshift ... Basic automation skills using scripting languages such as VBA, Python, or R. * Solid writing skills ...

Data Analyst

Melbourne, FL · Remote

$80K - $120K/yr

Fluency in SQL and especially the linguistic variants that apply to PostgreSQL and AWS Redshift ... Basic automation skills using scripting languages such as VBA, Python, or R. * Solid writing skills ...

As a part of the Product Manage Team, the Data Analyst will be responsible for leveraging MS SQL Server and Tableau to create, update, maintain, and analyze reports for various business units and/or ...

As a part of the Product Manage Team, the Data Analyst will be responsible for leveraging MS SQL Server and Tableau to create, update, maintain, and analyze reports for various business units and/or ...

Experience navigating within the Linux environment Experience running programs in python, Matlab ... data Experience with data fusion analytics Experience with Magnitude, Distance, Amplitude ...

Digital Analyst Internships

Melbourne, FL · On-site

$91.20K - $107.90K/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 ...

Experience running programs in python, Matlab, or other scientific software * Demonstrated ... Experience with data fusion analytics * Experience with Magnitude, Distance, Amplitude Correction ...

Scientific Data Analyst

Melbourne, FL · On-site

$75K - $130K/yr

... python, Matlab, or other scientific software • Demonstrated experience with Microsoft Office ... data fusion analytics • Experience with Magnitude, Distance, Amplitude Correction (MDAC ...

Scientific Data Analyst

Melbourne, FL · On-site

$75K - $130K/yr

... python, Matlab, or other scientific software • Demonstrated experience with Microsoft Office ... data fusion analytics • Experience with Magnitude, Distance, Amplitude Correction (MDAC ...

... Azure Data Factory pipelines and Power BI integrations to ensure timely and accurate analytics ... Exposure to or experience with scripting and programming languages such as Python, R, and ...

Proficiency in SQL for data manipulation and analysis. Comfortable with Python. * Experience working within data platforms like Databricks/Snowflake, and analytics modeling platforms such as Tableau

Lead, Data Engineer

Melbourne, FL · On-site +1

$125K - $232K/yr

... big data analytics at scale. * Build visualizations using Palantir Foundry tools and assist ... Factory, SSIS, or Python. * Minimum of 4years of experience in Data Integration. Preferred ...

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Data Analyst Python Sql information

See Melbourne, FL salary details

$31.5K

$76.6K

$126.1K

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

As of May 28, 2026, the average yearly pay for data analyst python sql in Melbourne, FL is $76,601.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,900.00 and $89,900.00 per year, depending on experience, location, and employer.

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.

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 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 cities near Melbourne, FL are hiring for Data Analyst Python Sql jobs? Cities near Melbourne, FL with the most Data Analyst Python Sql job openings:

Full-time

Posted 14 days ago


Job description

Data Analyst

Location: Melbourne, FL, 32940

Job Description

We are seeking a detail-oriented and analytical Data Analyst to join our team in Melbourne, FL. The ideal candidate will be responsible for interpreting data, analyzing results using statistical techniques, and providing ongoing reports to help drive informed business decisions.

Responsibilities
  • Collect, process, and perform statistical analyses on large datasets.
  • Develop and maintain dashboards and reports to track key performance indicators (KPIs).
  • Identify trends, patterns, and insights from data to support business strategies.
  • Collaborate with cross-functional teams to understand data needs and deliver actionable insights.
  • Ensure data integrity and accuracy by performing data validation and cleansing.
  • Present findings and recommendations to stakeholders in a clear and concise manner.
  • Utilize data visualization tools to communicate complex data effectively.
Qualifications
  • Bachelor’s degree in Data Science, Statistics, Computer Science, Economics, or a related field.
  • Proven experience as a Data Analyst or in a similar role.
  • Proficiency in SQL and experience with data querying and manipulation.
  • Experience with data visualization tools such as Tableau, Power BI, or similar.
  • Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
  • Familiarity with statistical software (e.g., R, Python) is a plus.
  • Excellent communication and presentation skills.
  • Ability to work independently and as part of a team.
How to Apply

If you are passionate about data and eager to contribute to a dynamic team, please submit your resume and cover letter to our HR department.