Report Writer / Data Analyst (Sigma)

Engineering has built modeled data marts in Snowflake that support Finance, Leave Success, and other teams. Your job is to turn those data marts into trusted, reusable Sigma data models and reports, so that teams outside of engineering can build and explore their own reporting without filing a ticket or writing SQL. Responsibilities will include: Designing, building, and maintaining reports and dashboards in Sigma for Finance, Leave Success, Product, RevOps, CS, and leadership. Building and owning a governed metadata (semantic) layer in Sigma using data models: defining relationships, reusable metrics, calculated columns, and clear business-friendly names and descriptions on top of our Snowflake data marts. Establishing standards for certified data sources, naming conventions, metric definitions, and documentation so everyone is working from one version of the truth. Implementing and maintaining row-level and column-level security in Sigma (for example, user attributes and teams) so people only see the data they should. Enabling self-service reporting: training and supporting non-technical users, creating templates and starter workbooks, and maintaining a simple guide for "where to find what." Gathering reporting requirements from stakeholders, translating vague questions into clear metric definitions, and pushing back with trade-offs when needed. Writing and optimizing SQL against Snowflake to validate data, prototype new reports, and diagnose discrepancies. Partnering with data engineers on upstream data mart changes, data quality issues, and new data needs, and contributing to dbt models where it makes sense. Monitoring report performance and usage (for example, materialization and cleanup of unused workbooks) to keep the Sigma environment fast and tidy.