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

Responsibilities: The Data Analyst is responsible for ensuring enterprise data is accurate ... Part-time with benefits employees receive time off based on the number of hours they work. Other ...

Orlando, FL (In-Office) Type: Part-Time or Full-Time (Flexible with School Schedule if MBA Student ... Collect and evaluate operational fleet data including fuel usage, driver behaviors, and idling ...

Orlando, FL (In-Office) Type: Part-Time or Full-Time (Flexible with School Schedule if MBA Student ... Data Analysis: Collect and evaluate operational fleet data including fuel usage, driver behaviors ...

Orlando, FL (In-Office) Type: Part-Time or Full-Time (Flexible with School Schedule if MBA Student ... Data analysis across markets, trades, and customers • Operational problem solving What You'll Be ...

... part time employees. Forbes Recognizes Orlando Health as a Best-In-State Employer * Forbes has ... Position Summary The Technical Products Analyst's plays a key role in supporting data-driven ...

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Part Time Data Analyst information

See Windermere, FL salary details

$30.3K

$73.5K

$121K

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

As of Aug 12, 2026, the average yearly pay for part time data analyst in Windermere, FL is $73,546.00, according to ZipRecruiter salary data. Most workers in this role earn between $55,600.00 and $86,300.00 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 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 staffing options to analyze data, generate insights, and support decision-making. Skills in tools like Excel, SQL, and data visualization software are valuable, and remote or flexible schedules are increasingly common in this field.

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 are the most commonly searched types of Data Analyst jobs in Windermere, FL? The most popular types of Data Analyst jobs in Windermere, FL are:
What cities near Windermere, FL are hiring for Part Time Data Analyst jobs? Cities near Windermere, FL with the most Part Time Data Analyst job openings:
Infographic showing various Part Time Data Analyst job openings in Windermere, FL as of August 2026, with employment types broken down into 100% Part Time. Highlights an 100% In-person job distribution, with an average salary of $73,546 per year, or $35.4 per hour.

Full-time, Part-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 27 days ago


Job description

Responsibilities:

The Data Analyst is responsible for ensuring enterprise data is accurate, consistent, and trusted for decision-making. This role combines analytical expertise with data governance practices to support the effective use and management of data across the organization. Key responsibilities include profiling data, monitoring data quality, enforcing governance standards, and delivering insights that enhance business performance. 

The analyst will work closely with the Data Product Owner, Data Engineering Lead, and various business teams to improve how data is accessed, maintained, and leveraged. This position plays a critical role in promoting data integrity, driving adoption of governance frameworks, and enabling data-driven decision-making. 

Essential Functions: 

  • Perform data profiling and quality assessments across critical systems: Analyzes datasets to identify anomalies, inconsistencies, and patterns, ensuring data integrity and readiness for business use.  

  • Monitor data accuracy, completeness, timeliness, and compliance with governance standards: Implements ongoing checks and controls to maintain high-quality data aligned with organizational and regulatory requirements. 

  •  Develop and maintain business glossaries, metadata, and data dictionaries: Creates and updates documentation that defines key data elements, ensuring shared understanding and consistency across teams. 

  • Partner with engineering and product teams to resolve data issues and enforce standards: Collaborates cross-functionally to address data quality concerns, implement governance policies, and support scalable data solutions. 

  • Support audits, regulatory requirements, and compliance initiatives (GDPR, CCPA, HIPAA where applicable): Prepares and provides data-related documentation and evidence to meet internal and external compliance obligations.  

  • Build and deliver reports and dashboards that track data quality and governance KPIs: Designs visual tools to monitor performance metrics, enabling transparency and continuous improvement in data governance efforts. 

Qualifications: 

  • 3–5 years of experience in data analysis, data governance, or data stewardship 

  • Strong SQL skills and proficiency with BI tools such as Power BI or Looker 

  • Familiarity with data governance frameworks (e.g., DAMA, DCAM) 

  • Knowledge of data privacy, compliance, and regulatory requirements (e.g., GDPR, CCPA, HIPAA) 

  • Detail-oriented with strong problem-solving and documentation capabilities 

  • Excellent communication skills with the ability to bridge technical and business audiences 

Experience: 

  • Hands-on experience conducting data profiling and quality assessments 

  • Experience developing and maintaining business glossaries, metadata, and data dictionaries 

  • Proven track record of collaborating with engineering and product teams to resolve data issues 

  • Experience supporting audits and compliance initiatives related to data governance 

  • Demonstrated ability to build reports and dashboards that track data quality and governance KPIs 

Knowledge, Skills, and Abilities: 

  • Deep understanding of data governance principles and best practices 

  • Strong analytical skills with the ability to interpret complex datasets 

  • Proficiency in data visualization and reporting tools 

  • Knowledge of regulatory frameworks and data compliance standards 

  • Ability to communicate effectively with both technical and non-technical stakeholders 

  • Skilled in identifying and resolving data quality issues across systems 

Physical Demands: Must be able to remain in a stationary position at a desk and/or computer for extended periods of time. 

Travel: Occasional shipboard travel when business requires.

Work Conditions: Work primarily in a climate-controlled environment with minimal safety/health hazard potential. 

This position is classified as “in-person,” which means the physical office in Orlando.   

Offers to selected candidates will be made on a fair and equitable basis, taking into account specific job-related skills and experience.   

At Margaritaville at Sea, your total rewards package is much more than your base salary. We  provide comprehensive and innovative benefits to meet your needs, including: 

Health Benefits: 

  • Cost-effective medical, dental and vision plans 

  • Employee Assistance Program and other mental health resources 

  • Additional programs include company paid term life insurance and disability coverage 

Financial Benefits: 

  • 401(k) plan that includes a company match 

Paid Time Off 

  • Holidays – All full-time and part-time with benefits employees receive days off for 10 company-wide holidays, plus 2 additional floating holidays to be taken at the employee’s discretion. 

  • Vacation Time – All full-time employees at the below the Director level start with 15 days/year; Director and above level have Discretionary Time Off, which for Directors is generally 15 days and for VPs and above 21 days. Part-time with benefits employees receive time off based on the number of hours they work.  

Other Benefits 

  • Complementary stand-by cruises, employee discounts on confirmed cruises, plus special rates for family and friends 

Join us and embark on a career that offers not only the chance to grow professionally but also the opportunity to be part of a fast growing company that offers opportunities for advancement. 

In addition to other duties/functions, this position requires full commitment and support for promoting an ethical and compliant culture. More specifically, this position requires integrity, honesty, and respectful treatment of others, as well as a willingness to speak up when they see misconduct or have concerns. 

Margaritaville at Sea is an equal employment opportunity employer and all qualified applicants will receive consideration for employment on the basis of sex, race, color, sex, sexual orientation,  gender identity, genetic information, national origin, religion, age, protected veteran status, disability status, marital status or any other classification protected by applicable local, state, federal, and/or international law.