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Hourly Data Optimization Jobs (NOW HIRING)

Judge Group, Inc.

Data Engineer

Plano, TX · On-site

$70 - $75/hr

Plano, TX Salary: $70.00 USD Hourly - $75.00 USD Hourly Description: Our client is currently ... You will play a key role in building and optimizing scalable data pipelines and ensuring data ...

MM International

Data Engineer

Dearborn, MI · On-site

$105K - $126K/yr

... hourly employee population. · This role is essential to ensuring a seamless transition and ... and optimal performance. · Documentation: Create and maintain comprehensive technical ...

CEDENT

Data Modeler

$40 - $60/hr

... models optimized across different data domains. • Optimize models for data query performance ... Hourly Rate Range - $40-$60/ hr Benefits Offered: [Health, Dental, Vision Insurance] Deadline:

CVS Health Corporation

$100K - $231K/yr

Ensure savings reporting is accurate, transparent, repeatable, and supported by data. * Identify ... hourly rate or base annual full-time salary for all positions in the job grade within which this ...

Zocdoc

Senior Data Scientist, Marketing

New York, NY · On-site

... optimization, lifecycle engagement, and brand effectiveness, and work closely with Marketing ... Unlimited Vacation (if salaried) / Competitive PTO (if hourly) * 100% paid employee health benefit ...

Imh

Data Architect - Staff

West Valley City, UT · On-site +1

$44.36 - $69.85/hr

Database and performance optimization * Data modeling and documentation * Coding/Programming * Data ... Actual hourly rate dependent upon experience. $44.36 - $69.85 We care about your well-being - mind ...

Kforce Technology Staffing

Data Architect

Quincy, MA · On-site

$67 - $86.25/hr

Lead the design, development, and optimization of enterprise data platforms and analytics ... Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a ...

New

Base-2 Solutions, LLC

Data Engineer

Miami, FL · On-site

$109K - $131K/yr

The role involves developing, maintaining, and optimizing data integration pipelines, API services ... Competitive fixed salary or hourly pay (based on experience, skills, location, and internal equity)

Totalwine

In this role, you will lead the design and deployment of optimization and decision science ... The actual hourly rate will equal or exceed the required minimum wage applicable to the job ...

Base-2 Solutions, LLC

Data Engineer

Doral, FL · On-site

$105K - $127K/yr

The role involves developing, maintaining, and optimizing data integration pipelines, API services ... Competitive fixed salary or hourly pay (based on experience, skills, location, and internal equity)

Wyyerd Group

Data Engineer

Boulder, CO · On-site

$120K - $144K/yr

Identify poorly designed queries that can be optimized. * Analyze refresh cycles that take too long ... daily, hourly, and real-time data updates. * Work with external vendors for regulatory (FCC ...

Burjline Builders

$25 - $58/hr

... offering a competitive hourly wage of $25 - $58 USD , commensurate with experience ... marketing campaign optimisation and enhance the user experience on our e-commerce platform.

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How much do hourly data optimization jobs pay per hour?

As of Sep 13, 2026, the average hourly pay for hourly data optimization in the United States is $56.81, according to ZipRecruiter salary data. Most workers in this role earn between $46.63 and $67.31 per hour, depending on experience, location, and employer.

What is an hourly data optimization?

An Hourly Data Optimization job involves analyzing and improving data processes on an hourly basis to ensure optimal performance and efficiency. Professionals in this role often monitor data flows, identify bottlenecks, and implement solutions to enhance data accuracy and speed. They may also use specialized software or algorithms to automate data optimization tasks and support business decision-making. This job is common in industries that rely on real-time data, such as e-commerce, logistics, and digital marketing.

What are some common challenges faced by professionals in hourly data optimization, and how can they be addressed?

Professionals in Hourly Data Optimization often encounter challenges such as managing large volumes of real-time data, ensuring data accuracy, and quickly identifying actionable insights under tight deadlines. To address these, it is important to leverage automation tools, maintain clear documentation, and collaborate closely with data engineers and analysts. Regular communication with stakeholders also helps prioritize optimization tasks and align efforts with business goals, ensuring that improvements have a measurable impact.

What are the key skills and qualifications needed to thrive as an hourly data optimization specialist, and why are they important?

To thrive as an Hourly Data Optimization Specialist, you need strong analytical abilities, proficiency in data management, and a background in mathematics, statistics, or a related field. Familiarity with data analytics tools such as SQL, Excel, and business intelligence platforms, along with certifications in data analysis or optimization, is often required. Attention to detail, problem-solving skills, and effective communication help professionals excel in interpreting data trends and collaborating with teams. These skills are crucial for driving continuous improvements and ensuring data-driven decisions that enhance organizational efficiency.

What is the difference between Hourly Data Optimization vs Data Analyst?

AspectHourly Data OptimizationData Analyst
CredentialsTypically requires data management or analytics certificationsOften requires a degree in data science, statistics, or related fields
Work EnvironmentProject-based, often freelance or contract rolesFull-time, office or remote corporate setting
Industry UsageUsed in marketing, e-commerce, and digital advertisingCommon across finance, healthcare, and business intelligence
Search & Comparison IntentFocuses on optimizing data for specific tasks on an hourly basisAnalyzes data to generate insights and reports

Hourly Data Optimization involves short-term, task-specific data work often on an hourly basis, while Data Analysts typically handle broader data analysis projects within organizations. Both roles require analytical skills, but their scope and work environment differ significantly.

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Hourly Data Optimization jobs near you
Infographic showing various Hourly Data Optimization job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 12% Part Time, and 2% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $118,171 per year, or $56.8 per hour.

Workforce Optimization Analyst- Skokie, IL

Skokie, IL • On-site

NorthShore
Health Care and Social Assistance • 10K+ employees
Learn more about NorthShoreexternal

$24.86 - $37.29/hr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted yesterday

Endeavor Health rating

7.0

Company rating: 7.0 out of 10

Based on 403 frontline employees who took The Breakroom Quiz

Job description

Hourly Pay Range:
$24.86 - $37.29 - The hourly pay rate offered is determined by a candidate's expertise and years of experience, among other factors.
Position Highlights:
  • Sign on bonus: N/A
  • Position: The Workforce Optimization Analyst
  • Location: Skokie, IL
  • Full Time/Part Time: Full-Time
  • Hours: Monday-Friday: 8:00am -5:00pm
  • Required Travel:

A Brief Overview:
The Workforce Optimization Analyst reports directly to the Sr Manager of Workforce Optimization. This role is responsible for ensuring that the call center operates efficiently by optimizing staff scheduling, forecasting call volumes, and analyzing workforce performance data. This role involves creating staffing models, generating reports, and utilizing workforce management (WFM) tools to balance resources with call demand, minimizing wait times, and maximizing agent productivity.
The WFO Analyst works closely with operations teams to forecast staffing needs, develop schedules, and adjust them in real-time based on changing business demands. This position also focuses on analyzing trends in call patterns, service levels, and key performance indicators (KPIs) to make informed decisions that enhance the customer experience while improving operational efficiency.
Additionally, the WFO Analyst provides recommendations to management on process improvements, resource allocation, and system enhancements. The ideal candidate has strong analytical skills, proficiency in WFM tools, and a deep understanding of call center operations to ensure optimal resource utilization and service delivery.
What you will do:
  • Workforce Planning and Forecasting
    Forecast Call Volumes and Staffing Needs. Analyze historical data and trends to forecast future call volumes, handling times, and customer demand across various shifts and channels. Develop long-term and short-term staffing forecasts to ensure adequate coverage, taking into account factors such as seasonality, marketing campaigns, and special events.
    Develop and Maintain Staffing Models. Create dynamic staffing models that account for varying workloads, agent availability, and service level agreements (SLAs). Adjust staffing forecasts as needed to account for changes in business operations or unplanned events such as outages or system upgrades.
    Generate Real-Time and Intraday Adjustments. Monitor real-time call volumes and agent activity to make immediate adjustments to schedules as needed, ensuring optimal staffing levels and service performance throughout the day. Recommend overtime or additional shifts when there are unplanned spikes in call volumes or customer demand.
  • Scheduling and Capacity Management
    Create and Maintain Agent Schedules. Design and implement agent schedules that balance business needs with agent preferences and contractual obligations (e.g., full-time vs. part-time, shift rotations, breaks, and time off).
    Ensure that schedules optimize coverage during peak hours while minimizing underutilization during quieter periods.
    Monitor and Adjust Schedule Adherence. Track agent adherence to assigned schedules, including log-in and log-out times, breaks, and shift start/end times. Work with supervisors and agents to correct adherence issues and improve time management.
    Administer Time-Off Requests and Shift Swaps. Manage and process time-off requests, shift changes, and schedule adjustments in a way that minimizes disruptions to service levels. Ensure that time-off policies are followed and that any approved requests are accounted for in staffing forecasts.
  • Performance Monitoring and Analysis
    Analyze Workforce and Operational Performance Data. Review performance metrics such as service level, average handle time (AHT), occupancy rates, and customer satisfaction (CSAT) to identify opportunities for operational improvement. Conduct trend analysis to understand the impact of workforce management decisions on call center performance and resource utilization.
    Generate Workforce Performance Reports. Prepare detailed reports that summarize call center performance metrics, including staffing efficiency, productivity, service levels, and KPI compliance.
    Present workforce-related insights and recommendations to management and operational teams to inform strategic decision-making.
    Monitor Key Performance Indicators (KPIs). Track and monitor KPIs such as first-call resolution (FCR), average speed of answer (ASA), and adherence to service level agreements. Analyze gaps between forecasted and actual performance, recommending corrective actions to optimize workforce utilization.
  • Workforce Optimization Tools and Systems
    Utilize Workforce Management (WFM) Tools. Leverage WFM software to automate forecasting, scheduling, and real-time workforce adjustments. Ensure data accuracy and system integrity by regularly updating agent profiles, historical call data, and forecast parameters within the WFM tool.
    Implement Automation and Efficiency Solutions. Explore and implement new technologies and processes that enhance workforce optimization and improve efficiency in managing agent resources. Collaborate with IT and software vendors to troubleshoot issues and optimize system performance.
    Provide WFM System Training and Support. Train supervisors and team leads on WFM tools, dashboards, and reporting functionalities to ensure smooth adoption and utilization of these systems. Provide ongoing support and troubleshooting assistance for workforce management software and tools.
    Perform other duties as assigned.

What you will need:
  • Associates Degree Preferred
  • 2 Years Call Center Workforce Management experience required
  • Experience in contact center workforce management and analysis programs
  • Exceptional written and verbal communication skills
  • A strong understanding of the contact center environment and the role workforce management plays in the attraction, retention, and performance of high-quality employee talent

Benefits:
  • Career Pathways to Promote Professional Growth and Development
  • Various Medical, Dental, and Vision options
  • Tuition Reimbursement
  • Free Parking at designated locations
  • Wellness Program Savings Plan
  • Health Savings Account Options
  • Retirement Options with Company Match
  • Paid Time Off
  • Community Involvement Opportunities

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