Overview
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. #LI-CA1
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Skill
sick time, 401(k)
May 20, 2026