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Temporary Data Automation Jobs (NOW HIRING)

Digitas

Senior Analyst, Data Operations

Manhattan, NY · On-site

$73K - $112K/yr

... automation for reporting and various processes Influencing teams towards data-informed decision ... Temporary roles may be eligible to participate in our freelancer/temporary employee medical plan ...

Simos

Automation Technician

Geneva, IL · On-site

$31 - $32.55/hr

Perform temporary and full inspection approvals before production runs. * Monitor production for ... data collection, PMs, and recordkeeping. * Train and support employees using robotic systems.

Beta.SoftSystems

Automation Tester

Vancouver, WA · On-site

$48.25 - $63.50/hr

... them bag both temporary and permanent assignments by anticipating the needs of leading tech ... NET, or Java Coding automation test scripts Data validation and manual testing Performing ...

w3r Consulting

Financial Analyst

Detroit, MI · On-site

We are seeking a highly skilled temporary contractor to support financial reporting, forecasting ... Exposure to financial systems integration or data automation initiatives Education and/or ...

Beta.SoftSystems

Automation Tester

Coraopolis, PA · On-site

$43.75 - $58/hr

... them bag both temporary and permanent assignments by anticipating the needs of leading tech ... Support any automation scripting/execution needs and any test data management needs on a need basis.

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How much do temporary data automation jobs pay per hour?

As of Jun 5, 2026, the average hourly pay for temporary data automation in the United States is $16.01, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $16.83 per hour, depending on experience, location, and employer.

What is the difference between Temporary Data Automation vs Data Analyst?

AspectTemporary Data AutomationData Analyst
CredentialsBasic technical skills, familiarity with automation toolsDegree in data science, statistics, or related field
Work EnvironmentProject-based, often short-term, technical focusOngoing analysis, reporting, and interpretation of data
Employer & Industry UsageUsed in tech, finance, and marketing for process efficiencyCommon across industries for decision support

Temporary Data Automation roles focus on implementing automation solutions to streamline data processes, often requiring technical skills and quick deployment. Data Analysts interpret data to inform business decisions, requiring analytical expertise and industry knowledge. While both roles work with data, Temporary Data Automation is more technical and project-oriented, whereas Data Analysts focus on analysis and reporting.

More about Temporary Data Automation jobs
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What are the most commonly searched types of Data Automation jobs? The most popular types of Data Automation jobs are:
What states have the most Temporary Data Automation jobs? States with the most job openings for Temporary Data Automation jobs include:
What job categories do people searching Temporary Data Automation jobs look for? The top searched job categories for Temporary Data Automation jobs are:
Temporary Data Automation jobs near you
Infographic showing various Temporary Data Automation job openings in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 82% Physical, 6% Hybrid, and 12% Remote job distribution, with an average salary of $33,293 per year, or $16 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 17 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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