FP&A & Data Analytics Analyst

About the role

IQVIA is seeking a highly analytical professional to support financial planning and business decision‑making through data analysis, reporting, and performance insights. The role blends financial planning & analysis, business intelligence, and data analytics to drive data‑driven outcomes.

Key responsibilities

• Extract, validate, and analyze financial and operational data from SAP and other enterprise systems.
• Develop and maintain SQL queries, datasets, dashboards, and automated reports.
• Create data visualizations and reporting solutions using Tableau or Power BI.
• Ensure data accuracy and consistency across financial and reporting systems.
• Partner with Data and Automation teams to improve reporting, planning, and analytical processes.
• Identify opportunities to automate, standardize, and optimize recurring processes.
• Monitor P&L performance, provide variance analysis and actionable insights.
• Support monthly close activities, validate financial results, and investigate deviations.
• Assist in budget and forecast cycles, consolidating inputs and validating assumptions.
• Develop and maintain financial models to support planning and business decisions.
• Track workforce and headcount metrics and assess their impact on costs.
• Prepare financial reports and executive presentations for leadership.

Required profile

• Bachelor's degree in Finance, Accounting, Economics, Business, Data Analytics, Engineering, Information Systems or related field.
• Minimum 1 year of experience in Data Analytics, Business Intelligence, FP&A, Finance or similar analytical role.
• Intermediate to advanced English proficiency.
• Ability to work independently, manage multiple priorities and drive solutions.
• Curiosity, self‑learning mindset and high level of proactivity.

Required skills

• SQL for querying large datasets.
• Tableau or Power BI for data visualization.
• Advanced Excel and financial modeling.
• Experience with ERP systems such as SAP, Oracle or PeopleSoft.
• Data extraction, validation and quality control.
• Data visualization and dashboard creation.