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Hourly Data Optimization Jobs (NOW HIRING)

This role supports utility & sustainability accuracy, cost optimization, and data-driven decision ... Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a ...

Data Engineer

Washington, DC · On-site

$114.60K - $190.20K/yr

You will ensure that data is AI-ready and optimized for operational deployment across the platform ... There are differentiating factors that can impact a final salary/hourly rate, including, but not ...

Data Engineer

Washington, DC · On-site

$114.60K - $190.20K/yr

You will ensure that data is AI-ready and optimized for operational deployment across the platform ... There are differentiating factors that can impact a final salary/hourly rate, including, but not ...

Manager, Data Analytics

Warrenville, IL · On-site

$58.50 - $90.68/hr

Hourly Pay Range: $58.50 - $90.68 - The hourly pay rate offered is determined by a candidate ... configuration, optimization, and implementation services of solutions specific to areas of ...

As a W-2 hourly employee, you will work under the direction of Introl project leadership and ... Support optimal performance and availability of deployed systems Technical Support ...

Data Center Technician

Springfield, OH · On-site

$22 - $35/hr

As a W-2 hourly employee, you will work under the direction of Introl project leadership and ... Support optimal performance and availability of deployed systems Technical Support ...

As a W-2 hourly employee, you will work under the direction of Introl project leadership and ... Support optimal performance and availability of deployed systems Technical Support ...

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Hourly Data Optimization information

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$16

$56

$81

How much do hourly data optimization jobs pay per hour?

As of May 30, 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 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 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 is an Hourly Data Optimization job?

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 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.

More about Hourly Data Optimization jobs
What cities are hiring for Hourly Data Optimization jobs? Cities with the most Hourly Data Optimization job openings:
What are the most commonly searched types of Data Optimization jobs? The most popular types of Data Optimization jobs are:
What states have the most Hourly Data Optimization jobs? States with the most job openings for Hourly Data Optimization jobs include:
Data Analyst

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 9 days ago


Job description

RESPONSIBILITIES:
Kforce's client in Chicago, IL is seeking a detail-oriented Data Analyst with a finance background and hands-on experience working with utility invoices and large, complex datasets. This role supports utility & sustainability accuracy, cost optimization, and data-driven decision-making across utility spend and related sustainability initiatives. Experience with sustainability, energy management, or ESG reporting is preferred.
REQUIREMENTS:
* Bachelor's degree in Finance, Accounting, Economics, Data Analytics, or a related field
* 2+ years of experience in a data analyst, financial analyst, or similar role
* Demonstrated experience working with utility invoices and utility data
* Strong financial acumen, including cost analysis, variance analysis, and reconciliation
* Advanced proficiency in Excel (pivot tables, formulas, macros preferred)
* Experience with data analysis tools such as Smartsheet, Power BI, Tableau, or similar
* High attention to detail with strong analytical and problem-solving skills
Preferred Qualifications:
* Experience supporting sustainability, energy management, or ESG reporting initiatives
* Familiarity with utility tariffs, rate structures, and regulatory concepts
* Experience with utility or energy management software (e.g., invoice management or energy tracking platforms)
* Exposure to GHG accounting frameworks (e.g., Scope 1 & 2 emissions, utility-related Scope 3)
* Ability to translate complex data into clear, executive-ready insights
The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.
We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.
Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.
This job is not eligible for bonuses, incentives or commissions.
Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.
By clicking ?Apply Today? you agree to receive calls, AI-generated calls, text messages or emails from Kforce and its affiliates, and service providers. Note that if you choose to communicate with Kforce via text messaging the frequency may vary, and message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You will always have the right to cease communicating via text by using key words such as STOP.