Overview
symplr is seeking a FP&A Analyst to provide embedded analytical support for the Technology/R&D organization and help build the financial operating system for engineering investment, workforce planning, capitalization discipline, productivity, and technology cost structure.
This Bangalore-based role will partner with the Sr. Director, Engineering FP&A, the U.S.-based Engineering FP&A Manager, Engineering leadership, Product & Professional Services FP&A, Accounting, HR, Procurement, and Corporate FP&A to translate engineering activity, capacity, and cost drivers into accurate models, clear reporting, and useful business insight.
The right candidate is hands-on, analytically rigorous, highly curious, and comfortable going deep into workforce data, engineering spend, capitalization inputs, contractor/vendor analytics, cloud/tooling costs, and recurring FP&A deliverables.
Duties & Responsibilities
ENGINEERING FINANCE ANALYTICS & BUSINESS SUPPORT
- Support Engineering/R&D FP&A with recurring analysis, reporting, and decision support across workforce, capacity, roadmap investment, technical cost structure, and productivity.
- Translate engineering priorities, product/platform initiatives, security work, technical debt, AI/platform investments, and maintenance activity into clearly structured analysis and model inputs.
- Prepare monthly Engineering financial review materials, variance analysis, metrics packages, and supporting schedules for review with Engineering and FP&A leadership.
- Partner with Product & Professional Services FP&A as needed to support analysis of roadmap affordability, product commitments, implementation implications, and build-versus-buy economics.
PLANNING, FORECASTING & MODELING
- Maintain detailed Engineering/R&D planning and forecast models in alignment with Corporate FP&A templates, calendars, definitions, and submission standards.
- Build and update workforce models by team, location, product/platform area, initiative, employee/contractor mix, hiring status, and forecast period.
- Support monthly forecasting, annual planning, variance analysis, and scenario analysis for Engineering/R&D spend, headcount, contractors, vendors, cloud/tooling, and other technology-related costs.
- Prepare accurate, timely, and well-documented forecast inputs that can be reviewed, consolidated, and explained by Engineering FP&A leadership and Corporate FP&A.
CAPITALIZATION, COST STRUCTURE & PRODUCTIVITY ANALYSIS
- Support R&D capitalization and OpEx/CapEx analysis by organizing inputs, tracking activity, maintaining supporting schedules, and partnering with Accounting/CAO under FP&A leadership guidance.
- Analyze cloud, tooling, vendor, contractor, and technology infrastructure spend tied to engineering productivity and cost efficiency.
- Maintain reporting and analysis around R&D spend as a percentage of revenue, cost by product/platform/initiative, capitalized versus expensed development, innovation versus maintenance capacity, and location mix.
- Support vendor rationalization, contractor mix, location strategy, and build-versus-buy analysis by preparing clean datasets, trends, comparisons, and scenario outputs.
DATA, DASHBOARDS & PROCESS DISCIPLINE
- Create and maintain repeatable reports, dashboards, and analysis packs that improve visibility into Engineering investment, capacity, productivity, and trade-offs.
- Ensure Engineering FP&A outputs are accurate, traceable, clearly documented, and consistent with FP&A definitions, KPI standards, model architecture, and version-control expectations.
- Identify opportunities to simplify, automate, and improve recurring analysis and reporting processes using planning tools, BI tools, and analytical automation.
- Maintain strong data hygiene across headcount, vendor, contractor, capitalization, cloud/tooling, and cost-center reporting inputs.
WAYS OF WORKING & CROSS-FUNCTIONAL PARTNERSHIP
- Develop deep fluency in Engineering/R&D operations, technology cost drivers, and symplr’s product/platform investment model.
- Operate as an embedded tower resource rather than a generic shared-services analyst, building enough functional depth to anticipate questions and improve analysis quality over time.
- Work collaboratively across U.S. and India time zones, balancing responsiveness with high-quality, well-organized analytical output.
- Bring curiosity, ownership, and continuous-improvement mindset to a growing FP&A function that is being built as an enterprise decision engine.
Skills Required
Qualifications Required:
- B com/ MBA in Finance & Accounting
EXPERIENCE & BACKGROUND
- 3+ years of progressive finance, FP&A, business finance, investment banking, corporate finance, consulting, analytics, or related experience.
- Experience supporting Engineering, Technology, Product, R&D, SaaS, enterprise software, healthcare technology, or similarly complex operating environments preferred.
- Experience with workforce planning, headcount modeling, variance analysis, forecast support, vendor/contractor spend analysis, or management reporting strongly preferred.
- Exposure to PE-backed, high-growth, scaling, multi-product, or operationally complex businesses is helpful but not required.
TECHNICAL & ANALYTICAL CAPABILITIES
- Strong financial modeling, Excel, analytical, and problem-solving skills, with ability to manage detail while telling a clear business story.
- Working knowledge of workforce planning, scenario analysis, variance analysis, cost-center reporting, vendor analytics, and productivity metrics.
- Familiarity with R&D capitalization, OpEx/CapEx concepts, cloud/tooling cost analysis, and technology cost structures preferred.
- Comfortable working with planning systems, BI tools, ERP/financial systems, and large datasets; curiosity about automation and AI-enabled analytical improvements.
WAYS OF WORKING
- Hands-on analyst with strong ownership, intellectual curiosity, and willingness to ask why before accepting surface-level answers.
- High attention to detail, strong documentation habits, and commitment to producing accurate, timely, and explainable work product.
- Clear communicator who can summarize analysis, risks, and drivers for finance and non-finance stakeholders.
- Builder mindset with a bias toward practical process improvement, scalable reporting, and continuous learning.
