Data Analyst & AI Specialist
Location: Hybrid onsite schedule in Culver City, CA
Schedule: 40 hours
Duration: 12 months
Pay: $80-$85 DOE

The Planet Group is looking for a Data Analyst & AI Specialist to join our well-known Fortune 500 client on a 12-months contract, working a hybrid onsite schedule in Culver City, CA

Data Analyst & AI Specialist | Qualifications:

• 5+ years experience in a tools, platforms, or applications implementation role.
• 5+ years of experience implementing business processes in software tools.
• Ability to identify, diagnose, solve, and escalate system and data pipeline issues as they become identified by users.
• 5+ years of experience implementing data pipelines and flows.
  • Proficient programming skills and working experience in SQL (both relational and cloud databases) and Python as well as their standard & commercial analytical packages/tools including pandas, numpy, jupyter notebooks, etc.
  • Experience with Data lake systems such as Snowflake.
  • Experience with ETL/Reverse ETL processes and data cleanup preferred.
  • Experience with Tableau.
• Passionate about understanding and solving problems, drawing insights, visualizing and storytelling with financial data.
• Experience working with central data and analytics teams, with the ability to quickly learn and understand data flows between business and data systems.
• Expert knowledge of data management and metric building. Knows the tools and when to use them, when not to use them, and when it's time to build new ones.
• Outstanding analytical and quantitative skills to maintain data integrity and extract relevant metrics.
• Experience creating documentation that allows stakeholders to understand the steps of the data analysis process.
• Self-starter who takes initiative and thrives in a fast-paced environment; able to work autonomously.
• Proven record of quickly ramping to understand a complex organization's enduser types, individual groups' requirements and how potential new features or changes impact a platform holistically.
• Comfortable with ambiguity and adjusting to evolving business requirements and priorities.
• Experience testing and implementing workflow management systems or software.
• Ability to retain new information and learn workflows quickly.
• Ability to analyze data and recommend process improvements.
• Ability to work cross-functionally within the organization and partner with others.
• Experience handling sensitive and classified information/data with the utmost discretion.
• Working Knowledge of Git and Github, including basic repository management, branching, and pull requests.
• Hands-on experience using generative AI tools and large language models (e.g. Claude, ChatGPT, or equivalent), including prompt writing.
• Proven experience in developing and deploying custom AI solutions for data analysis, including automated data refresh and publishing mechanisms.

• Familiarity with GitHub actions, CI/CD workflows, or automation pipelines.
• Direct experience with AI agent frameworks (e.g., LangChain, LlamaIndex) or similar tooling for building and integrating AI agents into business processes.
• Awareness of AI tool security, data handling, and responsible-use considerations when recommending solutions to a team.
• Knowledge of Financial Data such as Purchase Requests, Purchase Orders, and Invoices preferred.
• Experience building or customizing AI assistants, skills, or prompt libraries for shared use.

Data Analyst & AI Specialist | Description:

• Develop tools and provide analysis to support data driven decision making.
• Collect feedback from users to create automated reporting and compelling data visualization solutions with minimal supervision.
• Build and scale maintainable data infrastructures and end to end reporting solutions that connect business and finance teams with critical data.
• Monitor and maintain data pipelines and preemptively solve and raise issues.
• Identify trends and patterns in financial data that contribute to diagnostic and predictive analytics efforts, along with data reporting & presentation.
• Data entry and optimization as needed.
• Manage code, scripts, and analytical assets in GitHub using basic version control practices (commits, branches pull requests).
• Design, develop, and maintain AI-enabled workflows and custom AI tools that help team members leverage generative AI for automated data analysis, reporting, and insights generation.
• Build and deploy AI agents to automate routine data tasks, integrate with existing systems, and provide intelligent assistance for financial data analysis.
• Evaluate and onboard AI tools for the team; create reusable prompts and lightweight automations that improve analytical throughput and reduce manual effort.
• Document and train team members on AI workflows, ensuring responsible and effective adoption across the organization.