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

Turn5, Inc.

Data Analyst

Titusville, FL · On-site

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 ...

Lotane & Associates P A

Data Analyst

Cocoa, FL · On-site

This person must possess strong critical thinking and problem-solving skills and be able to write SQL queries, analyze and validate data, build Pivot Tables and reports, identify process improvements ...

Lotane & Associates P A

Data Analyst

Cocoa, FL · On-site

This person must possess strong critical thinking and problem-solving skills and be able to write SQL queries, analyze and validate data, build Pivot Tables and reports, identify process improvements ...

ENSCO, Inc.

Scientific Data Analyst

Melbourne, FL

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

ENSCO, Inc.

Scientific Data Analyst

Melbourne, FL

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

Danaher

Digital Analyst Internships

Melbourne, FL · On-site

$91K - $107K/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 ...

ENSCO, Inc.

Scientific Data Analyst

Melbourne, FL · On-site

$75K - $130K/yr

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

ENSCO - Hot Jobs

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 ...

ENSCO, Inc.

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 ...

Resource Point LLC

MS SQL DBA

Melbourne, FL · On-site

... 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 ...

FocusKPI

Marketing Operations Analyst

Melbourne, FL · On-site

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

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

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 Jul 14, 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.

Is Python and SQL enough for a data analyst?

For a data analyst, proficiency in Python and SQL is fundamental for data manipulation, analysis, and querying databases. However, additional skills such as data visualization, statistical knowledge, and familiarity with tools like Excel or BI platforms are often required to perform comprehensive analysis and communicate insights effectively.

What jobs can you get with SQL and Python?

Data analysts, data scientists, and business intelligence analysts commonly use SQL and Python to extract, analyze, and visualize data. These skills are essential for roles involving data management, reporting, and automation, often requiring knowledge of databases, statistical analysis, and data visualization tools.

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.

Is 40 too old to become a data analyst?

Age is not a barrier to becoming a data analyst; many professionals successfully transition into the field at various ages. Skills in Python, SQL, and data visualization tools are more important, and continuous learning can help overcome any age-related concerns. Employers value experience and analytical ability regardless of age.

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.

Can Python and SQL work together?

Data analysts often use Python and SQL together to efficiently extract, manipulate, and analyze data. Python libraries like pandas and SQL connectors enable seamless integration, allowing analysts to automate workflows and perform complex data processing tasks within a single environment.

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 Melbourne, FL? For Data Analyst Python Sql jobs in Melbourne, FL, the most frequently searched job titles are:
What job categories do people searching Data Analyst Python Sql jobs in Melbourne, FL look for? The top searched job categories for Data Analyst Python Sql jobs in Melbourne, FL are:
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:
Data Analyst Python Sql jobs near you

Data Analyst

Ascension Federal Services Inc.

Melbourne, FL • On-site

Full-time

Re-posted yesterday

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.

Apply