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Hourly Data Analyst Jobs (NOW HIRING)

Data Ideology

Data Analyst

Pittsburgh, PA · Remote

Our data analytics advisory services enable our customers to transform data into insights by driving a culture of empowerment and ownership of results. Our team consists of highly motivated ...

Altair Data Resources, Inc

Data Analyst

Brentwood, TN · On-site

Altair Data Resources is seeking an entry-level Data Analyst who is looking for an opportunity to work in an entrepreneurial, high-growth, enthusiastic environment. You will gain significant ...

PitchBook Data

Data Analyst

New York, NY

$85K - $100K/yr

PitchBook's Data Analyst works with private markets transaction data to develop meaningful insights into a fascinating industry and power our industry leading private equity, M&A, venture capital ...

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Data Ideology LLC

Data Analyst

Pittsburgh, PA · On-site +1

Our data analytics advisory services enable our customers to transform data into insights by driving a culture of empowerment and ownership of results. Our team consists of highly motivated ...

NuView Analytics

Data Analyst

Denver, CO · Remote

We do this in three ways - data analytics, data diligence, and fractional data science. Our clients are growth stage companies looking to drive additional value from the data they are sitting on.

Kforce Technology Staffing

Data Analyst

Chicago, IL

Kforce's client in Chicago, IL is seeking a detail-oriented Data Analyst with a finance background ... Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a ...

Connect Staffing, Inc.

Data Analyst

Atlanta, GA

$40/hr

Hourly rate up to $40.00/hr based on experience. Responsibilities include: * Develop complex SQL ... Previous experience with analytics preferred * Experience with data visualization tools such as ...

Analytic Services Inc

Data Analyst

Alexandria, VA · On-site

Position Summary ANSER is seeking a Data Analyst to support the Department of Defense (DoD) Chief Information Officer (CIO) in providing technical guidance and analysis for cyber workforce statutory ...

Kforce Technology Staffing

Data Analyst

Tempe, AZ

Support data analysis, profiling, and transformation activities across legacy and target systems ... Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a ...

Analytic Services Inc

Data Analyst

Alexandria, VA · On-site

Position Summary ANSER is seeking a Data Analyst to support the Department of Defense (DoD) Chief Information Officer (CIO) in providing technical guidance and analysis for cyber workforce statutory ...

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Hourly Data Analyst information

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$34K

$82.6K

$136K

How much do hourly data analyst jobs pay per year?

As of May 29, 2026, the average yearly pay for hourly data analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Hourly Data Analyst, and why are they important?

To thrive as an Hourly Data Analyst, you need strong analytical abilities, proficiency in data interpretation, and a relevant educational background such as a degree in statistics, mathematics, or a related field. Familiarity with data analytics tools like Excel, SQL, and visualization platforms such as Tableau or Power BI is typically required. Attention to detail, problem-solving skills, and effective communication help you present insights clearly and work collaboratively with teams. These skills are crucial for transforming raw data into actionable information that supports informed decision-making.

What are some common challenges Hourly Data Analysts face when managing multiple data projects simultaneously?

Hourly Data Analysts often juggle several projects at once, which can make prioritizing tasks and meeting tight deadlines challenging. Effective time management and clear communication with project stakeholders are key to staying organized and ensuring data quality. Additionally, since analysts may work across departments, adapting to different data systems and reporting requirements is common. Building strong collaboration skills and proactively seeking clarification on project goals can help navigate these challenges successfully.

What is an Hourly Data Analyst?

An Hourly Data Analyst is a professional who is hired on an hourly basis to collect, process, and interpret data to help organizations make informed decisions. Their tasks often include cleaning data, running analyses, creating reports, and visualizing results using tools like Excel, SQL, or specialized analytics software. Hourly Data Analysts may work on short-term projects or provide ongoing support, depending on the employer's needs. This flexible arrangement can be ideal for companies with fluctuating workloads or specific analytical projects.
More about Hourly Data Analyst jobs
What cities are hiring for Hourly Data Analyst jobs? Cities with the most Hourly Data Analyst job openings:
What are the most commonly searched types of Data Analyst jobs? The most popular types of Data Analyst jobs are:
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What job categories do people searching Hourly Data Analyst jobs look for? The top searched job categories for Hourly Data Analyst jobs are:
Hourly Data Analyst jobs near you
Infographic showing various Hourly Data Analyst job openings in the United States as of May 2026, with employment types broken down into 2% As Needed, 89% Full Time, 5% Part Time, 2% Temporary, and 2% Contract. Highlights an 97% Physical, and 3% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.
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 10 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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