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Senior Data Analyst Jobs in Melbourne, FL (NOW HIRING)

Turn5, Inc.

Data Analyst

Titusville, FL

To continue our growth path, we need a Remote Data Analyst to leverage analytics technology to create, update, and analyze reports for various business units and processes. As a part of the Product ...

Turn5

Data Analyst

Titusville, FL · On-site

To continue our growth path, we need a Remote Data Analyst to leverage analytics technology to create, update, and analyze reports for various business units and processes. As a part of the Product ...

Actionable Outcomes

Data Analyst

Melbourne, FL · On-site

$80K - $120K/yr

Data Analyst Location: Remote, within the United States Annual salary range: $80,000 - $120,000 Relevant experience: 3 years required; 5 years preferred U.S. citizenship required Actionable Outcomes ...

Actionable Outcomes

Data Analyst

Melbourne, FL · Remote

$80K - $120K/yr

Data Analyst Location: Remote, within the United States Annual salary range: $80,000 - $120,000 Relevant experience: 3 years required; 5 years preferred U.S. citizenship required Actionable Outcomes ...

Actionable Outcomes

Data Analyst

Melbourne, FL · Remote

$80K - $120K/yr

Data Analyst Location: Remote, within the United States Annual salary range: $80,000 - $120,000 Relevant experience: 3 years required; 5 years preferred U.S. citizenship required Actionable Outcomes ...

ENSCO, Inc.

Scientific Data Analyst

Melbourne, FL

$75K - $130K/yr

Position Description 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 ...

ENSCO, Inc.

Scientific Data Analyst

Melbourne, FL · On-site

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 ...

ENSCO - Hot Jobs

Scientific Data Analyst

Melbourne, FL · On-site

$75K - $130K/yr

Position Description 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 ...

ENSCO, Inc.

Scientific Data Analyst

Melbourne, FL · On-site

$75K - $130K/yr

Position Description 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 ...

GE Aerospace

Sr. Data Engineer

Melbourne, FL · On-site

$93K - $124K/yr

Summary As the Sr. Data Engineer, you will play a critical role in building and architecting ... Analyze system metrics and logs to identify trends, anomalies, and areas for improvement. * Design ...

SynergisticIT

Data Analyst - Entry/Junior

Palm Bay, FL · On-site

Currently, We are looking for entry-level software programmers, Java full-stack developers, Python/Java developers, Data analysts/ Data Scientists, and Machine Learning engineers for full-time ...

Intrepidgs

Sr Business Systems Analyst

Melbourne, FL · On-site

The analyst ensures data integrity, compliance with Army financial and real property regulations, and effective system utilization across supported organizations. The Senior Business Systems Analyst ...

Intrepid USA

Sr Business Systems Analyst

Melbourne, FL · On-site

The analyst ensures data integrity, compliance with Army financial and real property regulations, and effective system utilization across supported organizations. The Senior Business Systems Analyst ...

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Senior Data Analyst information

See Melbourne, FL salary details

$51K

$92K

$125.6K

How much do senior data analyst jobs pay per year?

As of May 28, 2026, the average yearly pay for senior data analyst in Melbourne, FL is $91,979.00, according to ZipRecruiter salary data. Most workers in this role earn between $79,700.00 and $100,600.00 per year, depending on experience, location, and employer.

What Does a Senior Data Analyst Do?

A senior data analyst develops and leads a team of data analysts in business or research projects. Job duties include consulting with other departments and management, conducting research using analytical tools, developing business solutions, and writing reports. Qualifications for a career as a senior data analyst include a bachelor’s degree in statistics, computer science, or a related field; job experience in data analytics; familiarity with data modeling languages such as R and Python; and leadership skills.

What are the key skills and qualifications needed to thrive as a Senior Data Analyst, and why are they important?

To thrive as a Senior Data Analyst, you need advanced analytical skills, a strong foundation in statistics, and experience with data modeling, typically supported by a relevant degree in mathematics, statistics, or computer science. Expertise in data visualization tools (like Tableau or Power BI), SQL, and programming languages such as Python or R is often required, along with familiarity with big data platforms. Outstanding problem-solving, communication, and stakeholder management skills set top performers apart. These competencies ensure accurate data-driven insights and effective collaboration with business teams to drive strategic decision-making.

What are some common challenges Senior Data Analysts face when collaborating with cross-functional teams?

Senior Data Analysts often work closely with departments such as product, marketing, and engineering to align data insights with business objectives. A common challenge is translating complex data findings into actionable recommendations for non-technical stakeholders. Additionally, balancing multiple priorities and managing expectations across teams can require strong communication and project management skills. Proactively building relationships and maintaining open lines of communication can help overcome these challenges and ensure successful collaboration.

What are Senior Data Analysts?

Senior Data Analysts are experienced professionals who collect, process, and analyze complex data sets to help organizations make data-driven decisions. They often lead analytics projects, design data models, and communicate findings to stakeholders using reports and visualizations. In addition to technical expertise with tools like SQL, Python, or R, they frequently mentor junior analysts and work closely with business leaders to identify opportunities for improvement. Their insights can drive strategy, optimize operations, and support organizational goals.

What is the difference between Senior Data Analyst vs Data Scientist?

AspectSenior Data AnalystData Scientist
Required CredentialsBachelor's degree in data-related field; experience in analytics toolsBachelor's or master's in data science, statistics, or related fields; often more advanced certifications
Work EnvironmentBusiness intelligence teams, analytics departmentsResearch teams, data science departments, R&D
Employer & Industry UsageFinance, healthcare, retail, tech companiesTech firms, startups, research institutions
Common Search & ComparisonOften compared for analytical roles with data scienceMore advanced, predictive modeling focus

The main difference between a Senior Data Analyst and a Data Scientist lies in their focus and skill set. Senior Data Analysts primarily handle data analysis, reporting, and visualization, while Data Scientists work on predictive modeling, machine learning, and advanced algorithms. Both roles require strong analytical skills, but Data Scientists typically have more technical expertise in programming and statistical modeling.

More about Senior Data Analyst jobs
What are the most commonly searched types of Data Analyst jobs in Melbourne, FL? The most popular types of Data Analyst jobs in Melbourne, FL are:
What are popular job titles related to Senior Data Analyst jobs in Melbourne, FL? For Senior Data Analyst jobs in Melbourne, FL, the most frequently searched job titles are:
What job categories do people searching Senior Data Analyst jobs in Melbourne, FL look for? The top searched job categories for Senior Data Analyst jobs in Melbourne, FL are:
What cities near Melbourne, FL are hiring for Senior Data Analyst jobs? Cities near Melbourne, FL with the most Senior Data Analyst job openings:
Senior Data Analyst jobs near you
Infographic showing various Senior Data Analyst job openings in Melbourne, FL as of May 2026, with employment types broken down into 1% As Needed, 95% Full Time, 3% Part Time, and 1% Contract. Highlights an 39% Physical, 3% Hybrid, and 58% Remote job distribution, with an average salary of $91,979 per year, or $44.2 per hour.

Data Analyst

Ascension Federal Services Inc.

Melbourne, FL

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.

Apply