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Data Analyst Computer Science Jobs in Melbourne, FL

... analysts/ Data Scientists, and Machine Learning engineers for full-time positions with clients ... Who Should Apply Recent Computer Science/Engineering /Mathematics/Statistics or Science Graduates ...

For more than 50 years, ENSCO has been providing leading-edge engineering, science and advanced ... Position Description ENSCO, Inc. is seeking a Scientific Data Analyst with direct experience in ...

ENSCO, Inc. is seeking a Scientific Data Analyst with direct experience in analytics regarding time series data sets. The successful candidate must be able to understand waveform propagation and be ...

Scientific Data Analyst

Melbourne, FL · On-site

$75K - $130K/yr

For more than 50 years, ENSCO has been providing leading-edge engineering, science and advanced ... Position Description ENSCO, Inc. is seeking a Scientific Data Analyst with direct experience in ...

Scientific Data Analyst

Melbourne, FL · On-site

$75K - $130K/yr

For more than 50 years, ENSCO has been providing leading-edge engineering, science and advanced ... Position Description ENSCO, Inc. is seeking a Scientific Data Analyst with direct experience in ...

Data Scientist

Melbourne, FL · On-site

$125.78K/yr

Mathematics, statistics, computer science, data science or field directly related to the position ... that enable analytics, automation, and machine learning use cases; OR applying advanced ...

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Data Analyst Computer Science information

See Melbourne, FL salary details

$31.5K

$76.6K

$126.1K

How much do data analyst computer science jobs pay per year?

As of May 28, 2026, the average yearly pay for data analyst computer science 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 in Computer Science, and why are they important?

To thrive as a Data Analyst in Computer Science, you need strong analytical skills, proficiency in statistics, and a relevant degree in computer science, mathematics, or a related field. Familiarity with data analysis tools such as SQL, Python, R, and data visualization platforms like Tableau or Power BI, as well as experience with database systems, are typically required. Attention to detail, problem-solving abilities, and effective communication help data analysts translate complex data into actionable insights for stakeholders. These skills are crucial for accurately interpreting data trends, supporting business decisions, and driving organizational growth.

How does a Data Analyst with a computer science background typically collaborate with other departments within a company?

Data Analysts with a computer science background often work closely with teams such as marketing, product development, and IT to translate raw data into actionable insights. They may participate in cross-functional meetings to understand business goals, provide data-driven recommendations, and help automate data collection processes. Strong communication skills are essential, as analysts must explain technical findings in a way that non-technical stakeholders can understand. This collaborative environment not only broadens their impact but also exposes them to various aspects of the business, fostering professional growth.

What is a Data Analyst in Computer Science?

A Data Analyst in Computer Science is a professional who collects, processes, and analyzes data to help organizations make informed decisions. They use various statistical tools and programming languages, such as Python, R, and SQL, to interpret complex datasets and identify trends or patterns. Their work often involves cleaning data, creating visualizations, and preparing reports for stakeholders. Data Analysts play a key role in turning raw data into actionable insights that drive business strategies.
What are popular job titles related to Data Analyst Computer Science jobs in Melbourne, FL? For Data Analyst Computer Science jobs in Melbourne, FL, the most frequently searched job titles are:
What cities near Melbourne, FL are hiring for Data Analyst Computer Science jobs? Cities near Melbourne, FL with the most Data Analyst Computer Science job openings:
Infographic showing various Data Analyst Computer Science job openings in Melbourne, FL as of May 2026, with employment types broken down into 55% Full Time, 39% Part Time, 3% Temporary, and 3% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $76,601 per year, or $36.8 per hour.

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.