Financial Analyst at IQVIA

Koto-ku, Tokyo, Japan

IQVIA Logo
Not SpecifiedCompensation
Junior (1 to 2 years), Mid-level (3 to 4 years)Experience Level
Full TimeJob Type
UnknownVisa
Healthcare, Pharmaceuticals, Clinical ResearchIndustries

Requirements

  • Bachelor's degree in accounting or finance (or equivalent)
  • Approximately 3 years of professional experience in FP&A, project finance, or financial reporting
  • Japanese: Native level
  • English: Business intermediate level in reading/writing
  • IT literacy: Excel intermediate level or above; practical experience using ERP (SAP/PeopleSoft) or analysis tools (Hyperion, etc.)
  • Ability to communicate smoothly with business unit counterparts
  • Ability to clearly grasp deliverables and deadlines, and manage tasks/schedules
  • Strong attention to detail, processes, and accuracy
  • Welcome Requirements
  • Experience in the healthcare industry
  • Qualifications such as CPA, CMA, MBA

Responsibilities

  • Manage the monthly management reporting process and provide clear, concise, timely, and accurate performance analysis and reports (FPA)
  • Support R&DS Finance Director and CFO in preparing monthly/quarterly financial forecasts, annual budgets (performance targets), and mid-term strategic plans (FPA)
  • Forecast/analyze revenue, pricing, costs and expenses, working capital, and human resources (FPA)
  • Launch finance system projects and provide appropriate support for invoicing and cash collection (PFM)
  • Ensure appropriateness of revenue recognition and provide appropriate support for finance/SOX audits (PFM)
  • Directly communicate with project managers to ensure profitability of each project (PFM)
  • Read and understand customer contracts to ensure alignment with company/BU policies (PFM)
  • Provide timely decision-making support services appropriate for Japan's R&D business (FPA/PFM)
  • Monitor financial and operational KPIs, analyze trends, and propose corrective actions for deviations from targets to drive business growth and productivity improvements (FPA/PFM)
  • Revenue recognition/management in the responsible business unit
  • New order intake recognition/management
  • Audit/SOX compliance
  • Budget preparation/variance analysis
  • System/tool support
  • Depending on experience and skills: mid-to-long-term planning and pricing tasks

Skills

Excel
SAP
PeopleSoft
Hyperion
FP&A
Financial Reporting
Budgeting
Forecasting
Revenue Recognition
SOX Compliance
ERP

IQVIA

Advanced analytics and clinical research services

About IQVIA

IQVIA provides advanced analytics, technology solutions, and clinical research services specifically for the life sciences industry. Their services utilize extensive data resources and technology to create connections within healthcare, allowing clients to gain insights that help speed up the development and marketing of new medical treatments. This process is facilitated by their IQVIA Connected Intelligence™ system, which offers quick and flexible insights. IQVIA stands out from competitors by focusing on patient privacy, employing various technologies to protect individual data. The company's goal is to enhance healthcare outcomes by supporting biotech, pharmaceutical, and medical device companies, as well as researchers and government agencies, in understanding diseases and advancing medical science.

Durham, North CarolinaHeadquarters
1998Year Founded
$3,526MTotal Funding
POST_IPO_EQUITYCompany Stage
Cybersecurity, Biotechnology, HealthcareIndustries
10,001+Employees

Risks

Rapid advancement of cancer vaccines may disrupt traditional clinical research models.
Proliferation of disparate technological solutions causes technology overload in clinical trials.
Generative AI technologies face challenges in adoption due to data privacy concerns.

Differentiation

IQVIA leverages advanced analytics and big data for life sciences solutions.
The company offers privacy-enhancing technologies to protect individual patient data.
IQVIA's AI Assistant provides rapid, actionable insights for healthcare and life sciences.

Upsides

Increased adoption of decentralized clinical trials enhances patient-centric study designs.
AI-driven drug discovery accelerates identification of potential drug candidates.
Expansion of telemedicine facilitates remote patient monitoring and data collection.

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