Internship Snowflake Jobs in Provo, UT (NOW HIRING)

Data, Ai & Analytics Platforms TeamAncestry's Data, AI & Analytics Platforms team is the bridge between raw data and trusted business decisions. In this role, you will act as a Bridge Builder and Steward, ensuring that governed, high-quality data flows from our platforms into Finance reporting, analyst workflows, and AI-driven applications. You will sit at the intersection of Data Governance, Data Quality, and Analytics Enablement — partnering daily with stakeholders across Governance, EDM, Finance, and the analyst community.This is a high-impact entry point into technical product management on a team that operates as Bridge Builders and Stewards of the enterprise's intelligence.What you will do...Steward Data Governance — Support the intake, definition, and lifecycle management of business metrics and governance protocols, ensuring adherence to compliance and audit standards.Drive Data Quality — Partner with engineering on automated quality checks, schema validations, and remediation workflows; monitor outcomes through established observability frameworks.Enable Analytics Partners — Collaborate with Analytics Engineering and Product Analytics teams to deliver platform features that accelerate self-service, reduce time-to-insight, and standardize trusted metrics.Support Platform Migrations — Help track stakeholder adoption, usage telemetry, and communications for legacy tool deprecations and new capability rollouts.Triage Business Requests — Manage incoming stakeholder requests with clear prioritization frameworks, ensuring the team builds the "right things at the right time."Document Rigorously — Create and maintain feature requirements, technical specifications, user stories, and governance documentation.Operational Excellence — Track key platform metrics including data freshness, pipeline uptime, and quality SLAs to ensure a healthy, trusted foundation.Apply AI-First Principles — Use AI-augmented PM workflows in your daily work and contribute to the team's AI literacy commitment.Who you are...Educational Background: Bachelor's degree in Computer Science, Analytics, Information Systems, Data Engineering, or a related field.Professional Experience: 1–3 years in product management, program management, business analyst, data analyst, or technical operations roles. New grads with strong relevant internships will be considered.Technical Literacy: Working knowledge of SQL, the data lifecycle, and concepts like data lineage, schema validation, and metric definitions.Governance Mindset: Genuine interest in data stewardship, compliance, and the discipline of "ready-for-use" data assets. SOX or audit exposure is a plus.Bridge Builder: Ability to translate between business stakeholders (Finance, Analytics) and technical teams (Engineering, Data Platform). Strong written and verbal communication.Analytical Skills: Comfortable working with data to inform prioritization decisions; able to translate platform metrics into stakeholder-friendly insights.Agile Familiarity: Exposure to Agile/Scrum methodologies and tools like Jira or Rally.Operating Style: Detail-oriented, organized, comfortable with ambiguity, and motivated by operational excellence.Preferred QualificationsInternship or co-op experience in a data-centric, analytics, or platform PM environment.Familiarity with data catalog, BI, or data warehouse platforms (e.g., Alation, Tableau, Redshift, Snowflake).Exposure to compliance frameworks (SOX, GDPR, CCPA).