Senior Business Intelligence Analyst

S
ShiftmoveB2B SaaS Fleet Management
PolandContractSenior
Salary not disclosed
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Job Details

Languages
English C1
Experience
Multiple years of experience
Required Skills
SQLBusiness IntelligenceSalesforceSnowflakeTableauData modeling

Requirements

  • Multiple years of experience in Business Intelligence or Analytics roles.
  • Strong commercial analytics experience within a SaaS business.
  • Demonstrated experience supporting Go-to-Market organisations, including Sales, Marketing, Customer Success, and Revenue Operations.
  • Expert-level Tableau development.
  • Advanced SQL skills with experience working in Snowflake.
  • Strong understanding of Salesforce reporting and commercial data models.
  • Experience delivering executive reporting for sales performance, pipeline, forecasting, renewals, churn, and expansion.
  • Comfortable working directly with senior stakeholders and translating business questions into analytical solutions.
  • Ability to independently own projects from initial requirements through to successful delivery.
  • Strong analytical thinking with excellent attention to detail.
  • English C1 language proficiency.

Responsibilities

  • 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.
  • 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.
  • Identify opportunities to improve reporting efficiency, automation, and self-service capabilities.
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