Data Analyst-II (24316) at ExcelGens, Inc.

Job Title: Data Analyst-II Client: DoorDash Location: Remote About the Role DoorDash is seeking a highly motivated Data Analyst contractor to support our Search & Discovery teams. This role is ideal for early-career analysts who are proactive with LLMs comfortable working with data and eager to grow in a fast-paced high-accountability environment. The position includes hands-on evaluation work cross-functional collaboration and the opportunity to build foundational experience in applied large language model workflows. Key Responsibilities LLM Evaluations & Insight Generation Conduct end-to-end evaluations of large language models (LLMs). Develop evaluation rubrics and write prompts for LLM testing. Scrape and prepare datasets using internal tools. Collect annotate and maintain high-quality golden label datasets. Collaborate with engineering teams to calibrate model quality and performance. Run evaluations regularly and maintain dashboards and reporting. Analyze results to uncover insights that improve evaluation quality and processes. Third-Party Vendor Coordination Serve as the primary point of contact between DoorDash and external vendor teams. Assign tasks manage deadlines and perform QA on vendor evaluator outputs. Provide clear instructions feedback and clarifications to ensure consistent quality. Internal Team Support & Triage Act as the first point of contact for inbound questions related to evaluation tasks. Route questions to appropriate stakeholders and track open issues. Ensure timely follow-up and smooth communication across teams. Required Skills & Experience Prior experience in data analysis or a similar analytical role. Demonstrated interest and proactive engagement with LLMs and modern AI tools. Strong attention to detail and the ability to work independently. Excellent written and verbal communication skills. Comfort operating in a fast-paced high-accountability environment. Tools & Technical Skills Proficiency with Google Workspace especially Google Sheets. Basic SQL skills (ability to write simple queries and troubleshoot results). Familiarity with Google Drive and documentation best practices. Bonus: Experience with prompt engineering or LLM prompt design. What Were Looking For A self-starter who is curious resourceful and motivated to learn. Someone who enjoys solving ambiguous or open-ended problems. A collaborative team player comfortable working with product engineering and vendor partners. A candidate hungry to grow and potentially convert into a full-time position. Key Skills Data Analytics,Microsoft Access,SQL,Power BI,R,Data Visualization,Tableau,Data Management,Data Mining,SAS,Data Analysis Skills,Analytics Employment Type : Full Time Experience: years Vacancy: 1