1

Hourly Data Optimization Jobs (NOW HIRING)

Our system supports Trade Promotion Management, Trade Promotion Optimization, Integrated Business ... For contractors, compensation will be offered as an hourly rate or fixed project fee, depending on ...

Sr. Data Architect

Manhattan, NY · On-site

$150K - $200K/yr

Our system supports Trade Promotion Management, Trade Promotion Optimization, Integrated Business ... For contractors, compensation will be offered as an hourly rate or fixed project fee, depending on ...

Sr. Data Architect

Manhattan, NY · On-site

$150K - $200K/yr

Our system supports Trade Promotion Management, Trade Promotion Optimization, Integrated Business ... For contractors, compensation will be offered as an hourly rate or fixed project fee, depending on ...

SEO Analyst

La Mirada, CA · On-site

$81K - $108K/yr

Data Analysis and Insights : Conduct in-depth analysis of SEO data to identify trends ... Position Hiring Range The hiring pay range provides a good faith estimate of the salary or hourly ...

SEO Analyst

La Mirada, CA · On-site

$81K - $108K/yr

Data Analysis and Insights : Conduct in-depth analysis of SEO data to identify trends ... Position Hiring Range The hiring pay range provides a good faith estimate of the salary or hourly ...

SEO Strategist

Manhattan, NY · On-site

$68 - $72.61/hr

Temporary Salary: $68-72.61 Hourly W2, weekly pay, benefits, 401k w/ match Start Date: ASAP Our ... Build data-driven monthly and quarterly marketing reports by using SEO data to identify and analyze ...

SEO Strategist

Manhattan, NY · On-site

$68 - $72.61/hr

Temporary Salary: $68-72.61 Hourly W2, weekly pay, benefits, 401k w/ match Start Date: ASAP Our ... Build data-driven monthly and quarterly marketing reports by using SEO data to identify and analyze ...

Develop and test structured data, content formats, and partnerships that improve Xe ... The reasonable estimated pay for this (Salary Exempt or Non-exempt hourly rate) role ranges from ...

next page

Showing results 1-20

Hourly Data Optimization information

See salary details

$16

$56

$81

How much do hourly data optimization jobs pay per hour?

As of Jul 14, 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 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.

Is 30 too late for data science?

Age is not a barrier to entering data science or related roles like hourly data optimization. Success depends on skills, experience, and continuous learning, such as mastering programming languages like Python or R and understanding data analysis tools. Many professionals transition into data roles at various ages, and employers value diverse backgrounds and ongoing education.

What is a data optimization job example?

A data optimization job involves analyzing and improving data quality, structure, and storage to enhance system performance and decision-making. For example, a data analyst might clean and organize large datasets using tools like SQL or Excel to ensure accurate reporting and efficient data retrieval.

Is 40 too late for data science?

Age is not a strict barrier for data science roles, including hourly data optimization positions. Many professionals transition into data science later in their careers by acquiring relevant skills such as programming, statistics, and tools like Python or SQL, often through online courses or certifications. Success depends on your skills, experience, and ability to adapt to evolving technologies, not age alone.

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.

Do data entry jobs really pay?

Data entry jobs, including hourly positions, typically pay based on an hourly rate or per task completed. Wages can vary depending on experience, location, and the complexity of the work, with hourly rates often ranging from minimum wage to higher depending on skill level and employer.

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 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:
Sr. Data Architect

$150K - $200K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 18 days ago


Job description

ABOUT UPCLEAR

UpClear delivers a SaaS revenue management platform that is used by some of the most recognizable consumer goods brands in the world. Our system supports Trade Promotion Management, Trade Promotion Optimization, Integrated Business Planning and Revenue Management. We serve more than 80 brands in over 30 countries. Our growth is substantial and consistent; we have been on the Inc 5000 list of fastest growing private companies for eight years in a row. UpClear's global headquarters is in New York City and we have satellite offices in London, Paris, and Singapore.

POSITION OVERVIEW

We are seeking a skilled Data Architect to design, optimize, and scale our data and reporting layers. This role is also open to contractors. You will focus on building a robust SQL-based data warehouse, improving data models for business intelligence, and leveraging Microsoft Fabric to create efficient, reliable data pipelines. The ideal candidate has experience working with Consumer Packaged Goods (CPG) data and understands the nuances of sales, distribution, retail, and customer analytics. 

Please note: We are not able to provide sponsorship for employment authorization at this time.

This role requires 4 days on site collaboration per week. You must be able to commute to our West 22nd Street office in New York.

RESPONSIBILITIES 

    • Design and optimize data architecture to support scalable, high-performance reporting and analytics 
    • Develop and maintain SQL-based data warehouse structures 
    • Improve and standardize data models used for BI and reporting tools 
    • Build and manage data pipelines using Microsoft Fabric 
    • Ensure data quality, consistency, and governance across reporting layers 
    • Collaborate with business and analytics teams to translate requirements into efficient data solutions 
    • Identify performance bottlenecks and implement improvements in data storage and query performance 
    • Document data models, architecture, and processes 

Requirements

  • Bachelor's or Master's Degree in Computer Science, Data Engineering, or a related field. 
  • Proven experience as a Data Architect or Senior Data Engineer in BI environments 
  • Strong expertise in SQL and data warehouse design principles 
  • Hands-on experience with dimensional modeling (Kimball or similar) 
  • Experience with Microsoft Fabric 
  • Deep understanding of BI/reporting workflows and data optimization techniques 
  • Familiarity with modern data architecture patterns 
  • Strong problem-solving skills and ability to work cross-functionally 
  • Hands-on mindset: comfortable contributing technically while shaping the strategic direction. 

Nice to Have 

  • Experience working with Consumer Packaged Goods (CPG) data (POS data, syndicated data, sales and distribution) 
  • Familiarity with Power BI or other visualization tools 
  • Exposure to data governance and data quality frameworks 
  • Experience working in a fast-paced, scaling environment 

Benefits

WHY UPCLEAR ?

  • Be part of a growing global SaaS company, with offices in NYC, London, Paris, Singapore
  • Work on latest Cloud technology and build architecture for fast-growing Tech
  • Weekly happy hours, good office culture, global cross team collaboration, direct access to executive leadership for guidance.

UpClear employees have access to a range of competitive benefits, including

    • Various Health Care Plans you can choose from to best fits your needs (Medical, Dental & Vision)
    • Retirement Plan with company match (401k, IRA)
    • Generous Paid Time Off package that grows with seniority (Vacation, Sick, and Public Holidays)
    • Paid Maternity leave
    • Paid Parental bonding leave
    • One month paid sabbatical after five continuous years of work at UpClear
    • Hybrid work model
    • Competitive Salary ($150K - $200K)

The salary range listed is a good faith determination of potential base compensation that may be offered to a successful applicant for this position at the time of this job advertisement and may be modified in the future. When determining a team member's base salary several factors may be considered as applicable including, but not limited to, relevant education, qualifications, certifications, experience, skills, seniority.
For contractors, compensation will be offered as an hourly rate or fixed project fee, depending on the scope of work and experience level. The estimated pay range for this role is $77 to $97 per hour. Final compensation will be determined based on factors such as skills, experience, and agreed-upon deliverables.