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Hourly Data Optimization Jobs (NOW HIRING)

Sosemo

SEO Associate

Manhattan, NY · On-site

Hourly), bonuses, health insurance, life insurance 401K, vacation/sick days, flex time, workers ... Utilize Excel and other data visualization tools to isolate trends and develop insights * Self ...

Sosemo

SEO Associate

Manhattan, NY · On-site

Hourly), bonuses, health insurance, life insurance 401K, vacation/sick days, flex time, workers ... Utilize Excel and other data visualization tools to isolate trends and develop insights * Self ...

Tribute Technology

SEO Specialist (Freelance)

$30 - $40/hr

... based on data, competitive movement, and client performance, not left static after launch ... Hourly Rate - $30-$40/hour. Reasonable accommodations may be made to enable individuals with ...

Judge Group, Inc.

Data Engineer

Scottsdale, AZ · Remote

$60 - $70/hr

Scottsdale, AZ Salary: $60.00 USD Hourly - $70.00 USD Hourly Description: Title: Data Engineer ... The position is responsible for expanding and optimizing our data and data pipeline architecture ...

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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:
What job categories do people searching Hourly Data Optimization jobs look for? The top searched job categories for Hourly Data Optimization jobs are:
Hourly Data Optimization jobs near you
Data Analyst & AI Automation Specialist

Data Analyst & AI Automation Specialist

Aquent

Culver City, CA • On-site

$80 - $85/hr

Temporary

Medical, Dental, Vision, Retirement

Posted 11 days ago

Job description

Placement Type:
Temporary
Salary:
$80-85 Hourly
Data Analyst & AI Automation Specialist
  • Location: Culver City, California
  • Schedule: Hybrid; In-Office T/W/Th; Remote M/F
  • Pay Comments: W2, weekly pay, benefits, 401k w/ match
  • Background screening required
We are seeking a highly autonomous Data Analyst & AI Automation Specialist. In this role, you will support all lines of business by transforming manual financial processes into streamlined, automated data solutions. This is not a traditional engineering position; it is an operational data role embedded within a non-technical business team. You will act as a strategic partner-listening to high-level business logic and requirements from non-technical stakeholders and independently figuring out how to build, automate, and maintain the underlying technical pipelines. The ideal candidate is a proactive self-starter who looks at manual data bottlenecks and leverages scripting, cloud data structures, and generative AI tools to eliminate them.
Key Responsibilities:
Automation & Pipeline Engineering
  • Proactive Process Automation: Identify manual workflows (e.g., weekly data exports and snapshots) and proactively leverage tools like Python, SQL, and AI prompting to build background scripts that automate execution and data storage.
  • Data Refresh & Infrastructure Integration: Build and deploy custom automation solutions that seamlessly pull data from multiple sources (Snowflake), process it, and automatically push refreshes to front-end visualization tools.
  • Version Control & Maintenance: Manage code, analytical assets, and automation scripts using basic GitHub repository management practices (commits, branches, pull requests).
  • Data Entry & Optimization: Perform necessary data cleanups, optimization, and data entry tasks to ensure reporting accuracy and system integrity.
Financial Insights & Dashboarding
  • Dashboard Maintenance & Troubleshooting: Own the day-to-day maintenance, running, and troubleshooting of the team's pre-built Tableau dashboards.
  • Custom Analysis Generation: Gather user feedback and business requirements from finance partners to spin up new, dynamic dashboards, internal reporting tools, or comparative analytics.
  • Variance & Trend Reporting: Build automated slicing-and-dicing models to analyze month-over-month financial forecasts, instantly surfacing and presenting core variance drivers to leadership.
Generative AI & Agent Deployment
  • AI Tool Implementation: Design, develop, and maintain AI-enabled workflows using generative AI interfaces (e.g., Claude, ChatGPT, or internal wrappers) to maximize team throughput.
  • Agent & Prompt Engineering: Build and deploy lightweight AI agents, reusable prompt libraries, and automated assistance features tailored for financial data tasks.
  • Team Enablement: Document automated AI workflows and create simple instructions to guide non-technical team members on how to responsibly and effectively utilize these tools.
Requirements:
  • Experience: 5+ years of experience in a tools/applications implementation role, with a proven track record of managing data pipelines and business process automation.
  • The Core Stack (Required): Advanced programming proficiency in SQL and Python (including packages such as Pandas, NumPy, and Jupyter Notebooks).
  • Data Ecosystems (Required): Hands-on experience working with Snowflake (or similar Data Lake systems) and Tableau.
  • AI Tooling & Prompting: Foundational comfort with Large Language Models (specifically Claude or ChatGPT) and experience writing prompts or scripts to automate routine, manual tasks.
  • Communication & Autonomy: Outstanding ability to work independently with minimal technical supervision. Must be able to distill complex data logic into simple, clear business terms for non-technical stakeholders.
  • Data Integrity & Confidentiality: Proven experience handling highly sensitive, classified financial data and unreleased business insights with the utmost discretion.
  • BA/BS degree preferred, or equivalent practical data automation experience.

Preferred Qualifications
  • Financial Data Literacy: Prior exposure to core corporate financial processes-including end-to-end purchase orders (POs), invoices, forecasting, accruals, and P&L analysis-is highly preferred to aid in data self-review.
  • Advanced AI Frameworks: Direct familiarity with AI agent frameworks (e.g., LangChain, LlamaIndex) or building custom AI skills.
  • Advanced Automation: Familiarity with GitHub Actions, CI/CD workflows, or automated repository pipeline deployment.
Please note this is a hybrid role in Culver City, CA. You must be able to work 3 days onsite (Tuesday, Wednesday, Thursday) and 2 days remote (Monday and Friday).
About Aquent Talent: Aquent Talent connects the best talent in marketing, creative, and design with the world's biggest brands. Our eligible talent get access to amazing benefits like subsidized health, vision, and dental plans, paid sick leave, and retirement plans with a match. More information on our awesome benefits! Aquent is an equal-opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other legally protected characteristics. We're about creating an inclusive environment-one where different backgrounds, experiences, and perspectives are valued, and everyone can contribute, grow their careers, and thrive.
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Client Description
Our client is a global leader in consumer technology, renowned for redefining the intersection of hardware, software, and services. Known for their uncompromising commitment to world-class design and user experience, they create products that have become essential to daily life. You will be joining a team that values craftsmanship and simplicity, working on high-impact projects that reach hundreds of millions of people worldwide.

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