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Weekend Data Analyst Jobs in Riverview, FL (NOW HIRING)

Citibank is seeking a Business Intelligence (BI) Data Analyst with strong experience in Tableau to support analytical dashboard development and data analysis within the Corporate Real Estate Services ...

Energy Data and Reporting Analyst is responsible for collecting, analyzing, and presenting energy-related data to support decision-making, efficiency improvements, and compliance for Gerdau's N.A.

Energy Data and Reporting Analyst is responsible for collecting, analyzing, and presenting energy-related data to support decision-making, efficiency improvements, and compliance for Gerdau's N.A.

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Weekend Data Analyst information

See Riverview, FL salary details

$30.3K

$73.7K

$121.3K

How much do weekend data analyst jobs pay per year?

As of Sep 6, 2026, the average yearly pay for weekend data analyst in Riverview, FL is $73,708.00, according to ZipRecruiter salary data. Most workers in this role earn between $55,700.00 and $86,500.00 per year, depending on experience, location, and employer.

What is a weekend data analyst?

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.

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.

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 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.

Can you be a weekend data analyst as a side hustle?

Weekend data analysts can often work part-time or freelance schedules, making it feasible to pursue as a side hustle. They typically analyze data using tools like Excel, SQL, or Python, and may need to coordinate with their primary job to ensure availability during weekends. Flexibility depends on employer policies and project deadlines.

What are the most commonly searched types of Data Analyst jobs in Riverview, FL?

The most popular types of Data Analyst jobs in Riverview, FL are:

What job categories do people searching Weekend Data Analyst jobs in Riverview, FL look for?

The top searched job categories for Weekend Data Analyst jobs in Riverview, FL are:

What cities near Riverview, FL are hiring for Weekend Data Analyst jobs?

Cities near Riverview, FL with the most Weekend Data Analyst job openings:

Building Data Analyst, Facility Operations

McKinstry

Tampa, FL • On-site

$76K - $109K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 8 days ago


Key responsibilities

  • Support the performance tracking and reporting of the Operations and Building Maintenance program results, including measurement and verification of operational savings and KPI's.

  • Develop and present reports demonstrating service delivery success related to maintenance, workflow management, powerED, Transition to Sustainable Operations (TSO), and other operational support services.

  • Identify key information sources, manage ongoing data collection, and develop KPI and program goals in collaboration with the client and Operations and Building Maintenance team.


McKinstry rating

9.7

Company rating: 9.7 out of 10

Based on 19 frontline employees who took The Breakroom Quiz


Job description

Build the future, spark innovation and align your career with purpose.

McKinstry is innovating the waste and climate harm out of the built environment and creating lasting impact. Together, we're building a thriving planet.

Buildings are a leading contributor to the climate crisis, generating nearly 40% of total global energy-related carbon emissions. We're making a lasting impact on our industry and within our communities by addressing the climate, affordability and equity crises through:

  • renewables and energy services
  • engineering and design
  • construction and facility services

To get where we're going, we need big thinkers, problem solvers and collaborative mindsets. Does that sound like you?

The Opportunity with McKinstry

We are looking for a Building Data Analyst, Facility Operations to join our growing Facility Operations division in Tampa. In this role, you will support the performance tracking and reporting of the Operations and Building Maintenance program results including measurement and verification of operational savings, maintenance tracking, and of other KPI's to be developed and implemented. You will also help develop measures of program success, determine the sources and methods to collect reliable, quantitative data. Then you will develop and present reports that demonstrate service delivery success related to maintenance, workflow management, powerED, Transition to Sustainable Operations (TSO) and other operational support services.

As the Building Data Analyst  you will develop KPI and program goals in collaboration with the client and Operations and Building Maintenance team. Another aspect of this job will be to identify key information sources and manage ongoing collection of data needed to report on service performances. You will also develop and maintain regular reporting to demonstrate Operations and Building Maintenance program savings and performance to KPI's.

To be successful in this role, you must have 3-4 years of industry relevant experience in data science, data visualization, or analyst positions. Specific experience and facilities operations and maintenance will take you far in this role. Experience with K12 vertical market and M&V concepts are also a plus.

What You Need to Succeed at McKinstry:

  • 3-4 years relevant experience in building data science/analyst position
  • Experience in developing and using PowerBI reporting tools
  • Microsoft power apps experience, Claude coding skills preferred
  • Advanced knowledge of Microsoft Office Suite - Word, Excel, PowerPoint, Visio
  • Highly proficient in Communication/Teaming/Internal and External Interactions
  • Highly proficient in developing and reporting on performance results (e.g. Service Lease Agreement and Key Performance Indicators
  • Technical Degree (desired), Data Sciences Degree (desired) or equivalent work experience is preferred.

PeopleFirst Benefits

When it comes to the basics, we have you covered:

  • Competitive pay
  • 401(k) with employer match and profit-sharing plan
  • Paid time off and holidays
  • Comprehensive medical, prescription, dental, and vision with low or zero deductible options and low out of pocket maximums

People come first at McKinstry, and we go beyond the basic benefits with:

  • Family formation benefits, including adoption and IVF assistance
  • Up to 16 weeks paid parental leave
  • Transgender inclusive benefits
  • Commuter benefits
  • Pet insurance
  • "Building Good" paid community service time
  • Learning and advancement opportunities via McKinstry University
  • McKinstry Moves onsite gyms or reimbursement for remote workers

See benefit plan documents for complete details.

If you're driven by our vision to build a thriving planet together, McKinstry is the place to build your career.

The pay range for this position is $76,320 - $109,980 per year; however, base pay offered may vary depending on job-related knowledge, skills, and experience. Base pay information is based on market location. A bonus may be provided as part of the compensation package, in addition to a full range of medical, financial, and/or other benefits, dependent on the position offered.

The McKinstry group of companies are equal opportunity employers. We are committed to providing equal employment opportunities to all employees and qualified applicants without regard to sex, gender identity, sexual orientation, age, race, color, creed, marital status, national origin, disability, veteran status, genetic information or any other basis protected by law. This policy applies to all terms and conditions of employment including, but not limited to employment, advancement, assignment, and training. This commitment to Equal Employment Opportunity is made equally as a social responsibility and as an economic and business necessity.

McKinstry is a drug-free workplace. Employment iscontingent upon successfully passing a pre-employment drug and alcohol test, complying with the requirements of the Immigration Reform and Control Act and a Confidentiality Agreement, in addition to successful outcomes of background and reference checks.

Applicants for this role will only be considered if they possess current US Work Authorization, and do not require employer-sponsored VISA support to begin or remain in this role.

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