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Part Time Data Analytics Engineer Jobs in Orlando, FL

Partner with engineering and product teams to resolve data issues and enforce standards ... Part-time with benefits employees receive time off based on the number of hours they work. Other ...

Partner with engineering and product teams to resolve data issues and enforce standards ... Holidays - All full-time and part-time with benefits employees receive days off for 10 company-wide ...

... T/Casual FullTime Business Area Missiles and Fire Control Salary Range $70500.00 - $130900.00 Long ... data analytics solutions for continuous improvement. Provides input to product design regarding ...

Data Science Tutor

Orlando, FL · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Orlando, FL (In-Office) Type: Part-Time or Full-Time (Flexible with School Schedule if MBA Student ... You will work on: • Fleet analytics reporting • Utilizing Fleet Software • Data Analysis:

Prepare geometric analysis and calculations in support of designs and establish design criteria ... Regular full-time and part-time employees (working at least 20 hours per week) have access to ...

Prepare geometric analysis and calculations in support of designs and establish design criteria ... Regular full-time and part-time employees (working at least 20 hours per week) have access to ...

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Part Time Data Analytics Engineer information

See Orlando, FL salary details

$41.5K

$121.1K

$165.7K

How much do part time data analytics engineer jobs pay per year?

As of Aug 23, 2026, the average yearly pay for part time data analytics engineer in Orlando, FL is $121,092.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,900.00 and $128,400.00 per year, depending on experience, location, and employer.

What does a part time data analytics engineer do?

A Part Time Data Analytics Engineer is responsible for collecting, processing, and analyzing data to help organizations make informed decisions. They build and manage data pipelines, use programming languages like Python or SQL, and create dashboards or reports to visualize data trends. Working part time, they may focus on specific projects or support ongoing analytics needs, often collaborating with other team members to ensure data quality and actionable insights.

What are the key skills and qualifications needed to thrive as a part time data analytics engineer?

To thrive as a Part Time Data Analytics Engineer, you need strong analytical skills, proficiency in statistics, and experience with data modeling, typically supported by a degree in computer science, mathematics, or a related field. Familiarity with tools such as SQL, Python or R, and data visualization platforms like Tableau or Power BI is essential, with certifications in these tools considered advantageous. Excellent problem-solving abilities, attention to detail, and effective communication skills are important soft skills for this role. These skills ensure accurate data analysis, actionable insights, and efficient collaboration, which are critical for delivering value in a part-time capacity.

How does working as a part time data analytics engineer differ from a full time position in terms of team collaboration and project ownership?

As a part-time Data Analytics Engineer, you'll often collaborate closely with full-time team members, focusing on specific tasks or projects that align with your available hours. You may be assigned to support data pipeline development, create dashboards, or perform data cleaning, but typically with a narrower project scope compared to full-time engineers. Communication and documentation are especially important, as you'll need to ensure smooth handoffs and updates for work that continues outside your scheduled hours. This structure provides flexibility but also requires proactive coordination to stay aligned with team goals and deadlines.

What are the most commonly searched types of Data Analytics Engineer jobs in Orlando, FL?

The most popular types of Data Analytics Engineer jobs in Orlando, FL are:

What are popular job titles related to Part Time Data Analytics Engineer jobs in Orlando, FL?

For Part Time Data Analytics Engineer jobs in Orlando, FL, the most frequently searched job titles are:

What job categories do people searching Part Time Data Analytics Engineer jobs in Orlando, FL look for?

The top searched job categories for Part Time Data Analytics Engineer jobs in Orlando, FL are:

Full-time, Part-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 8 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.