We are seeking a Senior Business Analyst to lead Power BI-driven reporting and analytics, delivering actionable insights across sales, services, profitability, and operations. This role focuses on advanced business intelligence, supported by a finance background to enhance revenue and profitability analysis. Reporting to the Head of Business Operations, the role is key to driving data-informed decisions.
Job Descriptions:
- Design, develop, test, and deploy interactive Power BI dashboards, KPIs, and reports (e.g., sales bookings, CRM pipeline, PS utilization/earn rates, profitability, AR/AP, HR headcount via Workday, ServiceNow ops, MS renewals, carbon emissions, cloud billing).
- Collaborate with cross-functional team to elicit requirements, build data models (tabular/multidimensional), implement row-level security (RLS), and write DAX expressions for unique business insights.
- Manage business indicator reporting, target achievement tracking, ad-hoc analytics, commercial modeling, and APAC cadence reporting.
- Evaluate or improve BI systems and processes using AI tools for efficiency.
- Maintain data analytics platforms, develop technical documentation, and support system integrations.
- Investigate new technologies and prototypes.
- Provide profitability reporting linked to revenue streams, variable compensation modeling (OTE/OTVC), and process automation.
- Communicate complex findings to non-technical leaders.
- Ensure data accuracy, perform data mining or trend analysis, and mentor on BI best practices in a dynamic, cross-functional environment.
Requirements:
- Bachelor's degree in accounting, Economics, Computer Science, IT, Engineering, or equivalent.
- 5+ years in business analysis, reporting, or BI/data roles; finance background highly desirable for accounting principles.
- Advanced proficiency in Power BI (dashboards, DAX, RLS, modeling).
- Intermediate-advanced Excel skills.
- Solid knowledge of Microsoft BI stack (Power Query, Power Pivot, SSAS/SSIS/SSRS).
- Proven problem-solving skills to translate data into actionable visualizations and insights.
Good-to-have skills:
- Experience with R/Python scripting, FinOps/ERP systems, ServiceNow, ConnectWise, or Workday integrations.
- Proven experience in data-specific roles within tech or services firms.
