Job Title: Financial Analyst / Data Analyst Position Type: Full-Time, Remote Working Hours: U.S. client business hours (with flexibility for reporting deadlines and project cycles) About the Role: Our client is seeking a Financial Analyst / Data Analyst to build models, analyze performance data, and deliver insights that guide strategy and decision-making. This role requires strong analytical skills, financial acumen, and proficiency with modern data tools. The Analyst serves as a bridge between raw numbers and executive decisions, ensuring reporting is accurate, timely, and actionable. Responsibilities: Financial Modeling: - Build and maintain 3-statement models (P&L, balance sheet, cash flow). - Create scenario and sensitivity analyses to evaluate risks and opportunities. - Model ROI, IRR, break-even, and valuation scenarios for projects or investments. Data Analysis: - Query SQL databases and work with large datasets. - Clean and transform data using Python, R, or Excel advanced functions. - Conduct variance analyses to compare actuals vs. budgets/forecasts. Reporting & Dashboards: - Prepare monthly management reporting packages and board decks. - Build KPI dashboards using Tableau, Power BI, or Looker. - Ensure consistent reporting definitions across finance and operations. Forecasting & Budget Support: - Collaborate with FP&A teams to refine budgets and forecasts. - Incorporate real-time business performance into rolling forecasts. Data Quality & Governance: - Validate data sources for accuracy and consistency. - Document methodologies for transparency and repeatability. Collaboration: - Partner with finance, sales, operations, and leadership to align metrics with goals. - Translate data into clear, actionable insights for non-technical stakeholders. What Makes You a Perfect Fit: - Analytical thinker who can turn complex data into simple insights. - Detail-oriented, with high standards for accuracy. - Strong communicator — equally comfortable with spreadsheets and executive presentations. - Proactive in identifying trends, risks, and improvement opportunities. Required Experience & Skills (Minimum): - 2+ years in financial analysis, FP&A, or data analytics. - Advanced Excel/Google Sheets (pivot tables, INDEX/MATCH, macros). - Proficiency in SQL for querying and joining datasets. - Experience preparing variance analyses and management reports. Ideal Experience & Skills: - Python or R for advanced analytics and data modeling. - Experience with BI tools (Tableau, Power BI, Looker). - Industry background in SaaS, finance, healthcare, or professional services. - Familiarity with ERP systems (NetSuite, SAP, Oracle) for data extraction. What Does a Typical Day Look Like? A Financial Analyst / Data Analyst’s day revolves around turning raw financial and operational data into meaningful insights. You will: - Pull and clean data from ERP or SQL sources to prepare daily/weekly reports. - Update financial models with the latest actuals and run scenario analyses. - Prepare variance analyses to explain deviations from budget or forecast. - Build dashboards in BI tools to give leadership real-time visibility into KPIs. - Collaborate with stakeholders, presenting findings in clear, actionable terms. - Document assumptions and methodologies so models and analyses are transparent and repeatable. In essence: you ensure decision-makers always have accurate, data-driven insights to guide strategy. Key Metrics for Success (KPIs): - Accuracy of forecasts and financial models (variance within ±5–10%). - Timeliness of monthly/quarterly reporting. - Reliability and clarity of dashboards delivered to stakeholders. - Positive feedback from leadership on insights and recommendations. - Reduced errors and improved data quality across reports. Interview Process: - Initial Phone Screen - Video Interview with Pavago Recruiter - Practical Task (e.g., build a simple financial model or create a sample dashboard from dataset) - Client Interview with Finance/Operations Leadership - Offer & Background Verification

Job Title: Financial Analyst / Data Analyst Position Type: Full-Time, Remote Working Hours: U.S. client business hours (with flexibility for reporting deadlines and project cycles) About the Role: Our client is seeking a Financial Analyst / Data Analyst to build models, analyze performance data, and deliver insights that guide strategy and decision-making. This role requires strong analytical skills, financial acumen, and proficiency with modern data tools. The Analyst serves as a bridge between raw numbers and executive decisions, ensuring reporting is accurate, timely, and actionable. Responsibilities: Financial Modeling: - Build and maintain 3-statement models (P&L, balance sheet, cash flow). - Create scenario and sensitivity analyses to evaluate risks and opportunities. - Model ROI, IRR, break-even, and valuation scenarios for projects or investments. Data Analysis: - Query SQL databases and work with large datasets. - Clean and transform data using Python, R, or Excel advanced functions. - Conduct variance analyses to compare actuals vs. budgets/forecasts. Reporting & Dashboards: - Prepare monthly management reporting packages and board decks. - Build KPI dashboards using Tableau, Power BI, or Looker. - Ensure consistent reporting definitions across finance and operations. Forecasting & Budget Support: - Collaborate with FP&A teams to refine budgets and forecasts. - Incorporate real-time business performance into rolling forecasts. Data Quality & Governance: - Validate data sources for accuracy and consistency. - Document methodologies for transparency and repeatability. Collaboration: - Partner with finance, sales, operations, and leadership to align metrics with goals. - Translate data into clear, actionable insights for non-technical stakeholders. What Makes You a Perfect Fit: - Analytical thinker who can turn complex data into simple insights. - Detail-oriented, with high standards for accuracy. - Strong communicator — equally comfortable with spreadsheets and executive presentations. - Proactive in identifying trends, risks, and improvement opportunities. Required Experience & Skills (Minimum): - 2+ years in financial analysis, FP&A, or data analytics. - Advanced Excel/Google Sheets (pivot tables, INDEX/MATCH, macros). - Proficiency in SQL for querying and joining datasets. - Experience preparing variance analyses and management reports. Ideal Experience & Skills: - Python or R for advanced analytics and data modeling. - Experience with BI tools (Tableau, Power BI, Looker). - Industry background in SaaS, finance, healthcare, or professional services. - Familiarity with ERP systems (NetSuite, SAP, Oracle) for data extraction. What Does a Typical Day Look Like? A Financial Analyst / Data Analyst’s day revolves around turning raw financial and operational data into meaningful insights. You will: - Pull and clean data from ERP or SQL sources to prepare daily/weekly reports. - Update financial models with the latest actuals and run scenario analyses. - Prepare variance analyses to explain deviations from budget or forecast. - Build dashboards in BI tools to give leadership real-time visibility into KPIs. - Collaborate with stakeholders, presenting findings in clear, actionable terms. - Document assumptions and methodologies so models and analyses are transparent and repeatable. In essence: you ensure decision-makers always have accurate, data-driven insights to guide strategy. Key Metrics for Success (KPIs): - Accuracy of forecasts and financial models (variance within ±5–10%). - Timeliness of monthly/quarterly reporting. - Reliability and clarity of dashboards delivered to stakeholders. - Positive feedback from leadership on insights and recommendations. - Reduced errors and improved data quality across reports. Interview Process: - Initial Phone Screen - Video Interview with Pavago Recruiter - Practical Task (e.g., build a simple financial model or create a sample dashboard from dataset) - Client Interview with Finance/Operations Leadership - Offer & Background Verification

• Analyzing clinical, operational, and digital product data to provide business partners with actionable insights • Wrangling the data required for your analyses using SQL • Architecting novel data sets as necessary • Developing self-serve reporting tools in Tableau for business partners • Contributing to a specific part of a project or owning the project from start to finish • Answering ad hoc questions • Leveraging your curiosity, domain area knowledge, and initiative to proactively identify opportunities for analysis • Synthesizing, summarizing, and presenting insights to a variety of decision-makers, from C-level executives to clinical and operational field staff • Collaborating with cross-functional teams to gather requirements, understand data needs, and provide valuable insights.

• Perform ongoing review of clinical data for completeness, accuracy, and consistency across studies • Generate, track, and resolve data queries in collaboration with study coordinators, sites, and data management teams • Execute manual and automated data validation checks to identify discrepancies, protocol deviations, outliers, and missing data • Ensure datasets meet predefined quality standards prior to analysis and database lock • Support configuration, review, and maintenance of Electronic Data Capture (EDC) systems, including edit checks and case report forms (CRFs) • Conduct data cleaning and reconciliation activities across multiple data sources, including adverse events, concomitant medications, laboratory data, and external vendor datasets • Maintain traceability of data changes and ensure audit readiness • Generate data quality metrics, status reports, and query tracking dashboards • Collaborate cross-functionally with Clinical Operations, Biostatistics, and Regulatory teams to deliver high-quality, analysis-ready datasets