Role & responsibilities Looking for following Technical Expertise 1. Highly proficient in Python programming. 2. Strong understanding of data science algorithms, including classical machine learning, deep learning, and data preprocessing. 3. Experience with signal processing for digital data and statistical analysis of digital biomarker datasets. Day to day responsibilities: 1. Leverage digital signal processing and machine learning techniques to transform raw signals into actionable digital measures, from raw sensor data collected in key development programs. 2. Utilize statistical algorithms to evaluate potential digital measures through comparison with patient-reported outcomes (PROs) or clinical scores. 3. Contribute towards delivery of potential digital measures for consideration as digital endpoints. 4. Conduct thorough literature reviews and contribute to the development of Statistical Analysis Plans 2 of 2 (SAP) documents. 5. Engage in scientific writing by documenting and reporting analysis results for relevant projects and datasets.

Role Overview: We are seeking a highly capable and detail-oriented Commercial Finance Analyst based in India to support the Commercial Finance Directors, broader Finance team and commercial operating units. This role is critical in delivering accurate, timely, and insightful financial data and analysis to support business decision-making across projects, business units, and strategic initiatives. The ideal candidate will bring strong analytical skills, advanced Excel proficiency, and a solid understanding of financial systems and data workflows. This role is perfect for someone who thrives in a fast-paced environment and is passionate about using data and technology to drive better business outcomes. Key Responsibilities: Month-End and Financial Reporting Execute month-end close tasks including: Project revenue recognition, adjustments, and accruals Accrued and Deferred income reporting Revenue and cost of sales reconciliations (subject to data access permissions) Deliver BU-level reporting packs, including operational slides for BU reviews Ingest and validate Pulse data for reporting accuracy Project & Forecasting Support Support the budgeting and forecasting process by integrating insights from senior stakeholders into models (e.g., headcount changes, billability, rate updates) Maintain and update forecast models and associated reporting tables/slides Collaborate with PMs, HR, and cross-functional teams to ensure accurate project and people data classification Ad Hoc Analysis & Business Support Respond to ad hoc data and reporting requests from business stakeholders (e.g., RFIs) Provide clear, concise answers to project and BU-level financial queries Ensure high standards of spreadsheet hygiene and data integrity Data & Systems Responsibilities: Data Management & Automation Build and maintain automated data pipelines and reporting tools to streamline recurring tasks Implement data validation and reconciliation processes to ensure accuracy and consistency Partner with Data Engineering and IT to improve data access and infrastructure for Finance System Integration & Optimization Act as a bridge between Finance and Systems/IT teams to align financial reporting needs with system capabilities Support implementation and optimization of financial systems (e.g., DataRails, Power BI, Power Query and project management tools) Identify and drive improvements in system workflows and reporting processes Advanced Analytics & Insights Develop dashboards and visualizations using tools like Power BI, Tableau, or Looker Conduct deep-dive analyses into project profitability, resource utilization, and revenue trends Translate complex data into actionable insights for Finance and Business Unit leads Governance & Documentation Maintain clear documentation of data sources, models, and reporting logic Support data governance initiatives by ensuring consistent definitions and usage of financial metrics Candidate Profile: **Experience:** 3to5 years in a commercial finance, FP&A, or business analyst role, ideally with exposure to data systems and automation **Skills:** Advanced Excel and financial modelling Experience with BI tools (e.g., Power BI, Tableau), SQL, or Python is a plus Strong communication and collaboration skills High attention to detail and accuracy under pressure **Mindset:** Proactive, responsive, and service-oriented Comfortable working with ambiguity and evolving priorities Committed to continuous improvement and operational excellence