Data Operations & Business Intelligence Intern at Precisely in Remote

Summary: Precisely is a leader in data integrity, empowering businesses to make confident decisions through trusted data. The Data Operations and Business Intelligence Intern will assist in building a natural language HR Data Agent, supporting design and development efforts, and collaborating with various stakeholders to enhance the solution. Responsibilities: - Help design and build a natural‑language HR Data Agent leveraging Snowflake, Copilot, and LLM‑based components—following similar architectures used in prior chatbot POCs - Participate in discovery activities, including reviewing HR data sources, metadata, and defining target questions modeled after the “10‑topic” framework used in earlier POCs - Assist in creating semantic views, agent workflows, and evaluation criteria for accuracy, completeness, and usability - Implement and test AI agent functionality within the Snowflake environment - Support user acceptance testing with HR partners to validate relevance and clarity of AI‑generated insights - Contribute to documentation, code organization, and knowledge‑transfer materials - Collaborate with data engineers, product owners, and business stakeholders to refine the solution - Identify enhancement opportunities and propose recommendations for future phases Required Qualifications: - Strong analytical and problem solving skills - Familiarity with SQL, Python, or data modeling concepts - Interest in AI, LLMs, and natural language interfaces - Ability to learn quickly and work collaboratively in an iterative development environment - Comfort exploring new tools and frameworks such as Snowflake and Microsoft Copilot - Strong communication skills, especially in translating business questions into data/AI requirements Required Skills: SQL, Python, AI Important Skills: Data modeling, Snowflake, Microsoft Copilot Nice-to-Have Skills: Analytical skills, Collaborative work Benefits: Valuable experience related to the degree you are pursuing., Hands on experience at an established tech company., Networking opportunities with company leaders around the globe.