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Part Time Data Analyst Jobs in Melbourne, FL (NOW HIRING)

Remote We are seeking seasoned Funds Attorneys for a part-time role at the forefront of legal AI ... Collaborate with product and research teams to refine data, guidelines, and best practices for AI ...

Remote We are seeking seasoned Funds Attorneys for a part-time role at the forefront of legal AI ... Collaborate with product and research teams to refine data, guidelines, and best practices for AI ...

Remote We are seeking seasoned Funds Attorneys for a part-time role at the forefront of legal AI ... Collaborate with product and research teams to refine data, guidelines, and best practices for AI ...

Showing results 21-40

Part Time Data Analyst information

See Melbourne, FL salary details

$31.5K

$76.6K

$126.1K

How much do part time data analyst jobs pay per year?

As of Sep 6, 2026, the average yearly pay for part time data analyst 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 is a part time data analyst?

Part time data analysts are professionals who work fewer hours than a standard full-time schedule, typically analyzing and interpreting data to help organizations make informed decisions. They use statistical tools and software to process data, identify trends, and generate reports. Part time positions are ideal for those seeking flexible work arrangements, such as students, parents, or individuals with other commitments. Despite working fewer hours, part time data analysts are expected to have strong analytical skills and proficiency in data management tools. Their contributions are valuable to businesses seeking data-driven insights without the need for a full-time role.

What does a part time data analyst do?

A part-time data analyst collects, organizes, assesses, and reviews information. In this career, you review data to ensure that it is accurate and to identify trends, provide analysis of a market or a company’s operations and processes, or meet other needs of a company or client. Data analysts typically create reports that explain their analysis. Your responsibilities also include helping to develop and deploy systems and tools to collect, extract, and categorize data so that you can analyze it more efficiently. As a part-time employee, you perform your duties for less than 40 hours per week.

What are the key skills and qualifications needed to thrive as a part time data analyst, and why are they important?

To excel as a Part Time Data Analyst, you need proficiency in data analysis, statistical methods, and a relevant degree such as mathematics, statistics, or computer science. Familiarity with technical tools like Microsoft Excel, SQL, and data visualization platforms such as Tableau or Power BI is typically required. Attention to detail, problem-solving ability, and effective communication are crucial soft skills for interpreting and presenting data insights. These competencies enable accurate, actionable analyses that support decision-making, even within limited working hours.

How does a part time data analyst typically collaborate with full time team members to ensure project continuity?

As a part-time data analyst, you’ll often work closely with full-time analysts, project managers, and business stakeholders to maintain seamless project progress. Regular check-ins, clear documentation of your analyses, and using collaborative tools like shared dashboards or project management software are key practices. Flexibility and strong communication skills are essential, as you may need to align your schedule with team meetings or coordinate handoffs to ensure your work integrates smoothly with ongoing projects.

What is the difference between Part Time Data Analyst vs Data Scientist?

AspectPart Time Data AnalystData Scientist
Required CredentialsBachelor's degree in data-related field; some roles may require certifications like Microsoft Excel or SQLBachelor's or master's degree in data science, statistics, or related fields; often requires programming skills and certifications
Work EnvironmentTypically in office settings, supporting specific projects or departments, with flexible or part-time hoursUsually in tech or research environments, working on complex models and large datasets, often full-time
Employer & Industry UsageUsed across industries like finance, marketing, healthcare for data reporting and analysisCommon in tech, finance, and research sectors for developing predictive models and advanced analytics

While both roles involve data analysis, Part Time Data Analysts focus on supporting business decisions with basic data tasks, often on a flexible schedule. Data Scientists handle complex modeling and predictive analytics, typically in full-time roles. The choice depends on your skills, experience, and career goals.

Are part time data analyst jobs still in demand?

Part-time data analyst jobs remain in demand as organizations seek flexible ways to analyze data for decision-making. Skills in Excel, SQL, and data visualization tools like Tableau are valuable, and remote or flexible schedules are increasingly available in this field.

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 Part Time Data Analyst jobs in Melbourne, FL?

For Part Time Data Analyst jobs in Melbourne, FL, the most frequently searched job titles are:

What cities near Melbourne, FL are hiring for Part Time Data Analyst jobs?

Cities near Melbourne, FL with the most Part Time Data Analyst job openings:

Infographic showing various Part Time Data Analyst job openings in Melbourne, FL as of August 2026, with employment types broken down into 100% Part Time. Highlights an 82% In-person, and 18% Remote job distribution, with an average salary of $76,601 per year, or $36.8 per hour.

$74K/yr

Part-time

Re-posted 18 days ago


Key responsibilities

  • Develop, improve, and implement analysis and evaluation techniques related to economic data and systems.

  • Prepare and coordinate reference papers and documentation to support economic projects.

  • Apply economic theories, methods, and practices to perform complex analysis and evaluate economic systems.


Job description

Click on "Learn more about this agency" button below for IMPORTANT additional information.
Your application will remain active through the open period of this Public Notice. Once this Public Notice closes, you must reapply.Qualifications:In order to qualify, you must meet the specialized experience requirements described in the Office of Personnel Management (OPM) Qualification Standards for General Schedule Positions, Group Coverage Qualification Standard for Professional and Scientific Positions.
BASIC REQUIREMENT OR INDIVIDUAL OCCUPATIONAL REQUIREMENT:
Degree: economics, that included at least 21 semester hours in economics and 3 semester hours in statistics, accounting, or calculus.
OR
Combination of education and experience: courses equivalent to a major in economics, as shown in A above, plus appropriate experience or additional education.
In addition to meeting the basic requirement above, to qualify for this position you must also meet the qualification requirements listed below:
SPECIALIZED EXPERIENCE:
GS-11:
Applicants must have at least one (1) year of specialized experience at the next lower grade GS-09, or equivalent in other pay systems. Examples of specialized experience includes developing, improving and implementing analysis and evaluation techniques; preparing and coordinating reference papers and documentation to support projects.
GS-12: Applicants must have at least one (1) year of specialized experience at the next lower grade GS-11, or equivalent in other pay systems. Examples of specialized experience includes applying economics and quantitative social science methods as well as operations research analysis and models to perform difficult and complex assignments.
GS-13: Applicants must have at least one (1) year of specialized experience at the next lower grade GS-12, or equivalent in other pay systems. Examples of specialized experience includes performing quantitative and qualitative analysis of adversarial economic systems and organizations; planning, evaluating and executing assignments requiring application of economic theories, methods and practices.
GS-14: Applicants must have at least one (1) year of specialized experience at the next lower grade GS-13, or equivalent in other pay systems. Examples of specialized experience includes providing design requirements, conducting experiments and investigations and to develop analytic models, methods, algorithms, formulas and simulations; planning for operational experimentation and analysis and manpower and funding recommendations.
GS-15: Applicants must have at least one (1) year of specialized experience at the next lower grade GS-14, or equivalent in other pay systems. Examples of specialized experience includes providing assessments of economic performance, economic strategy and political, social and military context; providing economic advice and analysis to support the development of regional strategy.
KNOWLEDGE, SKILLS AND ABILITIES (KSAs): Your qualifications will be evaluated on the basis of your level of knowledge, skills, abilities and/or competencies in the following areas:
1. Knowledge of the principles, concepts, and theories of economics, political science, operations research and/or other quantitative social science, and the standard practices, methods, and techniques of operation research sufficient to perform progressively difficult assignments
2. Knowledge of intelligence, analysis, evaluation, fact-finding, and investigative techniques in order to gather data, identify significant factors, and recommend a solution from a number of possible alternatives.
3. Knowledge of applied economics methods, quantitative social science, statistics, and / or operations research to perform studies and prepare reports, documentation, and correspondence to communicate factual and procedural information clearly.
4. Skill in applying the principles, concepts, and practices of economics/quantitative social science sufficient to perform moderately difficult assignments.
5. Ability to communicate clearly, concisely, and with technical accuracy, both orally and in writing, as well as work in a professional manner with peers and management.
6. Ability to learn and apply analytical investigative techniques to accomplish work in the economics research field.
PART-TIME OR UNPAID EXPERIENCE: Credit will be given for appropriate unpaid and or part-time work. You must clearly identify the duties and responsibilities in each position held and the total number of hours per week.
VOLUNTEER WORK EXPERIENCE: Refers to paid and unpaid experience, including volunteer work done through National Service Programs (i.e., Peace Corps, AmeriCorps) and other organizations (e.g., professional; philanthropic; religious; spiritual; community; student and social). Volunteer work helps build critical competencies, knowledge and skills that can provide valuable training and experience that translates directly to paid employment. You will receive credit for all qualifying experience, including volunteer experience.Education:IF USING EDUCATION TO QUALIFY: If position has a positive degree requirement or education forms the basis for qualifications, you MUST submit transcriptswith the application. Official transcripts are not required at the time of application; however, if position has a positive degree requirement, qualifying based on education alone or in combination with experience; transcripts must be verified prior to appointment. An accrediting institution recognized by the U.S. Department of Education must accredit education. Click here to check accreditation.
FOREIGN EDUCATION: Education completed in foreign colleges or universities may be used to meet the requirements. You must show proof the education credentials have been deemed to be at least equivalent to that gained in conventional U.S. education program. It is your responsibility to provide such evidence when applying.Employment Type: OTHER