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Weekend Data Analyst Jobs in Boca Raton, FL (NOW HIRING)

Sr. Business Analyst

Deerfield Beach, FL · Hybrid

$89K - $115K/yr

Participate in a rotating on-call schedule providing support after hours, weekends and holidays ... Experience on projects involving data analysis, data mapping, data integration and/or data ...

The individual assists in designing solutions and technical procedures to process GIS data from all ... Ability to work a flexible schedule including evenings, weekends and holidays. Benefits: The ...

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Business Analyst

Pompano Beach, FL · Remote

$68K - $80K/yr

This role ensures that projects are executed effectively through detailed requirements gathering, process improvement analysis, data-driven insights, and alignment with PMO standards and ...

Payroll Analyst

Hollywood, FL · Hybrid

$85K - $105K/yr

Analyze payroll data flows and identify opportunities for process improvement * Develop and ... Ability to work a flexible schedule, including evenings, weekends, and holidays when needed ...

Payroll Analyst

Hollywood, FL · Hybrid

$85K - $105K/yr

Analyze payroll data flows and identify opportunities for process improvement * Develop and ... Ability to work a flexible schedule, including evenings, weekends, and holidays when needed ...

Compile and analyze revenue/expense data to support business decisions and identify opportunities ... Willingness to occasionally work weekends or holidays if required. National Beverage Corp. provides ...

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Weekend Data Analyst information

See Boca Raton, FL salary details

$32.3K

$78.4K

$129.1K

How much do weekend data analyst jobs pay per year?

As of Jun 20, 2026, the average yearly pay for weekend data analyst in Boca Raton, FL is $78,423.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,300.00 and $92,000.00 per year, depending on experience, location, and employer.

What is the difference between Weekend Data Analyst vs Part-Time Data Analyst?

AspectWeekend Data AnalystPart-Time Data Analyst
CredentialsBachelor's in Data Science, Statistics, or related field; often some experienceSimilar credentials; may require less experience or specific certifications
Work EnvironmentTypically on-site or remote, working during weekends or specific hoursFlexible hours, can work weekdays or weekends, often remote
Employer & IndustryBusinesses needing weekend analysis, retail, healthcare, or financeVarious industries, including retail, marketing, and consulting
Search & Comparison IntentLooking for weekend-specific data rolesSeeking flexible or part-time data analysis jobs

The Weekend Data Analyst and Part-Time Data Analyst roles share similar credentials and work environments but differ mainly in scheduling. Weekend Data Analysts focus on weekend-specific hours, often for businesses needing weekend support, while Part-Time Data Analysts have flexible hours across the week. Both roles suit candidates seeking flexible work arrangements in data analysis.

What are Weekend Data Analysts?

Weekend Data Analysts are professionals who specialize in collecting, processing, and analyzing data during weekends. They often work in industries that require continuous data monitoring or reporting, such as retail, finance, or customer service. Their responsibilities include preparing reports, identifying trends, and supporting decision-making processes outside of regular business hours. This role is ideal for organizations that need real-time data analysis or have operations extending through weekends.

What Does a Weekend Data Analyst Do?

As a weekend data analyst, you work part-time and use analysis techniques to research trends and discover useful information from data. This job emphasizes getting results and creating reports from data, although the specific responsibilities of this position vary depending on the employer's needs. One of the most common duties of this job is working over the weekend to process data gained throughout the week to prepare a report summarizing the activity for that period. Companies that operate seven days a week often employ weekend data analysts to continue any data analysis tasks from earlier in the week, allowing the organization to function with no interruptions in its data analysis activities.

Is 40 too old to become a data analyst?

Age is not a barrier to becoming a data analyst; many professionals transition into the field later in life. Success depends on acquiring relevant skills such as data visualization, SQL, and Excel, often through online courses or certifications, regardless of age.

Is a data analyst still in demand?

Data analysts are currently in high demand across various industries due to the increasing reliance on data-driven decision making. Skills in data visualization, SQL, and statistical analysis are valuable, and the role often offers flexible schedules including weekend shifts for certain organizations.

Is AI replacing data analysts?

AI tools are automating certain data analysis tasks, such as data cleaning and basic reporting, but the role of a data analyst remains essential for interpreting complex data, making strategic decisions, and providing insights. Data analysts often use AI and machine learning tools to enhance their work, but human judgment and domain expertise are still critical components of the job.

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

To thrive as a Weekend Data Analyst, you need a strong background in statistical analysis, data interpretation, and a relevant degree in fields such as mathematics, statistics, or computer science. Familiarity with analytical tools like Excel, SQL, Python, or data visualization platforms such as Tableau is typically required. Attention to detail, problem-solving abilities, and effective communication are crucial soft skills for clearly presenting insights and collaborating remotely. These skills ensure timely, accurate analysis and enable data-driven decisions during weekend operations.

Do data analysts work on weekends?

Data analysts typically work during regular business hours, Monday through Friday, but some roles may require weekend work to meet project deadlines or support 24/7 operations. Weekend work is more common in industries like finance, healthcare, or in roles involving real-time data monitoring. Flexibility depends on the employer and specific job responsibilities.

What does a typical weekend shift look like for a Weekend Data Analyst, and how do responsibilities differ from weekday analysts?

As a Weekend Data Analyst, you’ll often work independently or with a smaller team, focusing on real-time data monitoring, reporting, and rapid issue escalation. Weekend shifts can involve handling time-sensitive data tasks, supporting ongoing operations, and preparing summary reports for weekday teams. While core analytical skills remain the same, you may need to troubleshoot urgent data anomalies and ensure smooth handovers to weekday analysts. This role is ideal for individuals comfortable with autonomy and proactive communication.
What are the most commonly searched types of Data Analyst jobs in Boca Raton, FL? The most popular types of Data Analyst jobs in Boca Raton, FL are:
What are popular job titles related to Weekend Data Analyst jobs in Boca Raton, FL? For Weekend Data Analyst jobs in Boca Raton, FL, the most frequently searched job titles are:
What job categories do people searching Weekend Data Analyst jobs in Boca Raton, FL look for? The top searched job categories for Weekend Data Analyst jobs in Boca Raton, FL are:
What cities near Boca Raton, FL are hiring for Weekend Data Analyst jobs? Cities near Boca Raton, FL with the most Weekend Data Analyst job openings:
HRIS Analyst III (Data Analytics) - 991333

HRIS Analyst III (Data Analytics) - 991333

Nova Southeastern University

Fort Lauderdale, FL • On-site

$82K - $91K/yr

Full-time

Medical, Dental, Retirement

Posted 3 days ago


Nova Southeastern University rating

6.9

Company rating: 6.9 out of 10

Based on 24 frontline employees who took The Breakroom Quiz

389th of 538 rated colleges and universities


Job description

We are excited that you are considering joining Nova Southeastern University!
Nova Southeastern University (NSU) was founded in 1964, and is a not-for-profit, independent university with a reputation for academic excellence and innovation. Nova Southeastern University offers competitive salaries, a comprehensive benefits package including tuition waiver, retirement plan, excellent medical and dental plans and much more. NSU cares about the health and welfare of its students, faculty, staff, and campus visitors and is a tobacco-free university.
We appreciate your support in making NSU the preeminent place to live, work, study and grow. Thank you for your interest in a career with Nova Southeastern University.
Primary Purpose:
Serves as the senior analytical resource and is responsible for developing, analyzing, and delivering workforce data insights that support strategic and operational decision-making. Focuses on advanced reporting, dashboard development, workforce analytics, data visualization, and HR metrics across the employee lifecycle.
Job Category: Exempt
Hiring Range: Commensurate with experience ($82K- $91K)
Pay Basis: Annually
Subject to Grant Funding? No
Essential Job Functions:
1. Partners with other departments and operational stakeholders to transform HR data into actionable insights that improve workforce planning, retention, operational effectiveness, and organizational performance.
2. Contributes to the advancement of HR analytics capabilities through reporting automation, data visualization, and the exploration of AI-enabled and predictive analytics tools that support workforce insights and operational effectiveness.
3. Designs, develops, and maintains advanced HR dashboards, reports, and visualizations.
4. Analyzes workforce trends related to turnover and retention, headcount and staffing, recruitment metrics, diversity and compliance reporting, time-to-fill and onboarding, and employee lifecycle trends
5. Delivers actionable insights and recommendations to HR leadership and institutional stakeholders.
6. Supports executive-level reporting and workforce planning initiatives.
7. Automates recurring reports and improves reporting efficiency.
8. Develops interactive dashboards.
9. Translates complex datasets into clear visual narratives for leadership audiences.
10. Designs reporting solutions that improve data accessibility and user experience.
11. Partners with stakeholders to define reporting requirements and meaningful workforce metrics.
12. Ensures accuracy, integrity, and consistency of HR data across systems.
13. Performs data validation, audits, reconciliations, and quality assurance activities.
14. Maintains reporting definitions, business rules, and data documentation.
15. Partners with HRIS and IT teams to improve data structures and reporting capabilities.
16. Supports compliance reporting and institutional data requests.
17. Assists in identifying opportunities for automation and AI-enabled analytics within HR reporting and operational processes.
18. Supports development of predictive and trend-based workforce analytics models.
19. Researches emerging technologies and analytics tools to improve data visualization, reporting efficiency, and decision support capabilities.
20. Promotes efficient and responsible use of analytics and AI-enabled technologies.
21. Supports continuous improvement initiatives related to reporting and workforce analytics.
22. Consults with HR leaders and business partners to identify reporting needs and analytical opportunities.
23. Provides insights that support operational and strategic decision-making.
24. Assists in identifying workforce risks, trends, and improvement opportunities.
25. Completes special projects as assigned.
26. Performs other duties as assigned or required.
Job Requirements:
Required Knowledge, Skills, & Abilities:
1. Strong analytical and critical thinking skills.
2. Ability to interpret and communicate complex data clearly.
3. Strong attention to detail and data accuracy.
4. Excellent written and verbal communication skills.
5. Ability to manage multiple priorities and deadlines.
6. Strong customer service orientation and collaborative mindset.
7. Ability to maintain confidentiality and handle sensitive information appropriately.
8. Ability to identify opportunities for process improvement and reporting automation.
9. Strong aptitude for learning emerging technologies and analytics methodologies.
10. Strong understanding of HR data and workforce metrics.
11. Advanced proficiency in Excel and data analysis techniques.
Physical Requirements:
1. Near Vision - Must be able to see details at close range (within a few feet of the observer).
2. Speech Recognition - Must be able to identify and understand the speech of another person.
3. Speech Clarity - Must be able to speak clearly so others can understand you.
4. Travel - Must be able to travel on a daily and/or overnight basis.
5. May be required to work nights or weekends.
6. May be exposed to short, intermittent, and/or prolonged periods of sitting and/or standing in performance of job duties.
7. May be required to accomplish job duties using various types of equipment/supplies, to include but not limited to pens, pencils, and computer keyboards.
Required Certifications/Licensures:
Required Education: Bachelor's degree
Major: Human Resources, Information Systems, Data Analytics, Business Administration, Statistics, or related field.
Required Experience:
1. 4-6 years of HRIS, reporting, or workforce analytics experience.
2. Advanced experience with reporting and visualization tools such as Power BI, Tableau, or similar platforms.
3. Experience writing complex queries and working with relational databases.
4. Experience with enterprise systems such as Banner, Workday, PeopleSoft, or similar HR platforms.
Preferred Qualifications:
1. Experience in higher education or other large, complex organizations.
2. Experience with SQL, data modeling, or ETL processes.
3. Familiarity with predictive analytics or workforce planning methodologies.
4. Familiarity with AI-enabled reporting tools, automation technologies, or predictive analytics concepts.
5. Experience supporting compliance and regulatory reporting.
Is this a safety sensitive position? No
Background Screening Required? Yes
Pre-Employment Conditions:
Sensitivity Disclaimer: Nova Southeastern University is in full compliance with the Americans with Disabilities Act (ADA) and does not discriminate with regard to applicants or employees with disabilities and will make reasonable accommodation when necessary.
NSU is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion, creed, gender, national origin, age, disability, marital or veteran status or any other legally protected status.

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