• Lead complex Business Intelligence projects from discovery through delivery with minimal supervision. • Design, build, and optimise dashboards used by senior leadership and Revenue Operations. • Develop and maintain high-quality SQL models within Snowflake. • Work closely with Revenue Operations to deliver reporting across pipeline, bookings, ARR, CARR, churn, expansion, forecasting, and sales performance. • Support the integration of newly acquired businesses into Shiftmove's GTM reporting ecosystem, ensuring data is accurately mapped into our existing Snowflake and Tableau environment. • Partner with Salesforce administrators and business stakeholders to ensure reporting accurately reflects commercial processes. • Validate business rules, investigate data discrepancies, and maintain trusted reporting. • Document data models, business logic, and reporting standards to ensure long-term maintainability. • Identify opportunities to improve reporting efficiency, automation, and self-service capabilities.

• Design and implement complex PBI dashboards and reporting solutions. • Develop and optimize Looker reports and data models. • Utilize Google BigQuery and other GCP services for backend development, ETL processes, and data integration. • Review and approve technical designs, ensuring compliance with quality standards (code quality, security, performance). • Conduct code reviews and mentor team members to enhance technical skills. • Coordinate with backend and frontend BI developers during solution implementation. • Work closely with Project Managers and Business Analysts to align technical solutions with business requirements. • Communicate technical aspects clearly to stakeholders and customers. • Stay updated on BI trends and emerging technologies. • Share knowledge through training sessions, workshops, and documentation.

• Join our Data team as a Mid-level Data Analyst • Work on Business Intelligence and Data Engineering projects • Develop, optimize, and troubleshoot complex SQL queries • Build tables and data pipelines using GCP and Power BI • Collaborate with other departments to gather requirements and develop analytical solutions

• Elicit and detail requirements with business stakeholders; • Translate business needs into analytical and functional requirements; • Map business rules and calculation criteria for metrics; • Serve as the interface between business areas and technical teams; • Support the definition and prioritization of enterprise data products; • Validate the consistency, completeness and integrity of delivered data; • Support the definition of data quality rules and processes; • Perform exploratory analyses using corporate data; • Build dashboards, reports and strategic metrics; • Identify opportunities to improve and optimize data processes; • Propose KPIs and metrics for operational and strategic monitoring.