Business Analyst
About The RoleThe role serves as the primary architect for business process optimization, sitting at the critical intersection of data infrastructure and operational strategy. This position is responsible for translating complex business requirements into scalable technical workflows, ensuring that the go-to-market tech stack accurately captures and reflects the health of the organization.The team focuses on building high-integrity data pipelines and automated reporting structures that allow leadership to make real-time decisions. The role will oversee the maintenance of CRM hygiene, the implementation of third-party integrations, and the continuous refinement of the revenue lifecycle.Key ResponsibilitiesDesign and maintain automated dashboards in Tableau or Power BI to track key performance indicators including churn, CAC, and LTVDevelop complex SQL queries to extract data from Snowflake or BigQuery for ad-hoc analysis and deep-dives into operational bottlenecksManage the administration and optimization of Salesforce or HubSpot, including custom objects, validation rules, and automated flow triggersBuild and document end-to-end business processes for lead routing, territory management, and commission tracking across the tech stackPartner with finance and sales leadership to lead the quarterly forecasting process and identify variance between actuals and targetsEvaluate and integrate new tools into the revenue operations stack, ensuring data parity and seamless API connectivity between systemsWhat We Are Looking For2–4 years of experience in business analysis, revenue operations, or data-driven sales operations within a technology environmentAdvanced proficiency in SQL for data manipulation and a deep understanding of relational database schemasHands-on administrative experience with Salesforce (SFDC) or a similar enterprise CRM; certifications are preferredProven track record of building production-grade visualization dashboards that have been used for executive-level decision makingBachelor’s degree in Finance, Economics, Computer Science, or a related quantitative fieldBonus: Experience with Python for data automation or familiarity with dbt for data modeling