Senior Finance & Data Analytics Analyst | Philippines
Peak Support LLC
Job Description
Job Description
Description:
The Senior Finance & Data Analytics Analyst will support Finance, FP&A, Sales, Operations, and Executive Leadership by providing financial and operational analysis that drives business decisions. This role will partner closely with FP&A and IT to develop insights, improve forecasting, refine reporting, and identify opportunities to improve profitability, pricing, and operational performance.
The position reports to the FP&A Manager while working cross-functionally with Finance, Sales, Operations, and IT Business Intelligence.
Primary Responsibilities
Financial Planning & Analysis
- Department spend analysis and budget variance reporting
- Budget vs. Forecast vs. Actual analysis and reporting refinement
- Revenue forecasting support
- Gross margin and profitability analysis
- Executive KPI reporting and dashboards
- Financial modeling to support business initiatives
Pricing & Profitability
- Pricing analysis and margin optimization
- Pricing governance and management
- Client and contract profitability analysis
- Gross margin analysis by client, specialty, service line, and region
- Evaluate pricing recommendations and financial impact
Operational Analytics
- Recruiter productivity and conversion metrics
- Days-to-fill and fill-rate analysis
- Clinician utilization and productivity reporting
- Client performance analysis
- Revenue and margin trends
- Operational KPI development
Sales & Compensation Analytics
- Commission calculations and reporting
- Sales performance analytics
- Revenue by salesperson, client, and market
- Pipeline and forecast reporting support
Business Intelligence & Decision Support
- Partner with IT Business Intelligence to define reporting requirements
- Validate and analyze data used in executive reporting
- Develop business cases and ROI analyses
- Identify opportunities to automate manual reporting
- Deliver actionable insights to executive leadership
Required
- 5–8+ years of experience in Finance Analytics, Business Analytics, FP&A, or Decision Support
- Advanced Excel
- Strong analytical and financial modeling skills
- Experience interpreting large datasets and presenting recommendations
- Experience supporting executive leadership
- Excellent English communication skills
Preferred
- Experience in healthcare staffing, workforce management, or professional services
- Experience with ERP and CRM systems (Sage Intacct, Bullhorn, Salesforce, etc.)
- Familiarity with Power BI (ability to use and validate reports rather than develop enterprise models)
- Understanding of relational databases and data structures (without requiring deep SQL expertise)
Success Measures
Within the first year, this individual should:
- Improve forecast accuracy and reporting quality
- Enhance department spend visibility and variance analysis
- Develop a standardized pricing and profitability analytics process
- Deliver actionable insights into gross margin performance
- Improve recruiter and operational performance reporting
- Refine executive dashboards in partnership with IT
- Reduce manual reporting effort across Finance
- Support executive decision-making with timely, data-driven analyses
Peak Support and our Work-from-Home PLUS model
At Peak Support, we are dedicated to providing exceptional service to our clients and an exceptional work environment for our team members.
We don’t do this with ping pong tables or video games. We do it by creating a positive, encouraging and performance-driven culture that enables our team members to build rewarding, long-term careers. We’re proud that our Glassdoor rating of 4.5 is the highest in the Business Process Outsourcing industry.
Peak Support offers all the convenience of working from home, with the benefits of working for an established organization with an exceptional team and tremendous opportunities for growth. Peak Support has been 100% remote since day one, so we have built a culture and a set of processes that support the success of our remote team members.
Vacancy posted 7 days ago
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