Wir suchen aktuell: Senior Business Expert in Finance Analytics (w/m/d) – Team Member/ Overhead Reporting in Stuttgart Im Rahmen einer Arbeitnehmerüberlassung, suchen wir schnellstmöglich einen Overhead/ Reporting für den Standort Stuttgart.
The current high demand for staff has opened up exciting opportunities for dedicated experts who want to develop professionally and to further their careers. As recruitment specialists with an international network of contacts, we can offer you decisive advantages – completely free of charge.
The current high demand for staff has opened up exciting opportunities for dedicated experts who want to develop professionally and to further their careers. As recruitment specialists with an international network of contacts, we can offer you decisive advantages – completely free of charge.
This is achieved through tailored training programs and relevant projects that enable career progression, for example, from a project team member to a project manager. Additionally, we offer internal training programs and expert lectures conducted by our project team members, covering topics relevant to quality managers, project managers, design engineers, FEM analysts, test engineers, programmers, and automation specialists. uberi zirnij schrift
DHL focus is to be an outstanding industry leader in customer centrism, global reach and quality driven organization – to reach this we need outstanding employees. Your future role We want you who can act as the Finance expert and interpret financial results and trends to the Site Managers in the area Sweden North. You will be responsible for reporting and planning on site level and will analyze and interpret the financial results and balance sheet KPI`s for the sites.
Key Responsibilities: Leadership: Serve as a biostatistical consultant for other members of the department and staff members from other Biostatistics departments within the company Represent sponsors at meetings with regulatory agencies or other regulatory meetings, may participate as a member of a Data and Safety Monitoring Committee Participate in independent research activities, teaching opportunities, presentations, and preparation of manuscripts for publication Participate as high level lead biostatistician on major projects, including developing/reviewing protocols, preparing analysis plans, and writing sections of joint clinical/statistical reports, integrated summaries and/or NDA sections Leading studies at an operational level Provide expert review and initiate methodology development work with regards to statistical standards and validation procedures Consult on operational/statistical/therapeutic area topics Knowledge Sharing: Maintain knowledge and awareness of developments in biostatistics and clinical trial methodology, and regulatory requirements that impact on analyses Performs as subject matter expert (SME) Risk Management: Identifies risks to project delivery and/or quality, leads in a way to minimize risks Anticipates risks to avert need for study level escalations, supports lead in implementing risk mitigation actions Lock and Unblinding Process: Leads the database lock and unblinding process for the statistical team Participate on the biostatistics randomization team (drafts randomization specifications and/or perform quality control (QC) review of randomization schedules) Statistical Expertise: Provide expert statistical input into review of statistical deliverables (i.e. statistical section of a protocol, statistical analysis plans, table shells, programming and table specifications, data review, tables, listings, figures, and statistical sections for complex and/or integrated reports) Provide expert input into data management deliverables (i.e. database design, CRF design, validation checks and critical data) Provide expert review of ADaM reviewers guide (ADRG) and metadata Perform senior biostatistical review (SBR) Produce or perform quality control review of sample size calculations for complex studies Requirements: Masters or PhD degree in Biostatistics or a related field with relevant experience within the life-science industry Expert in a broad range of complex statistical methods that apply to Phase 2-3 clinical trials Expert in strategically collaborating with clinical and drug development expertsExperience in serving as statistical lead for regulatory submissions, including preparation of submission datasets, eCTD support, meeting with regulatory teams, and responding to regulatory queries In-depth knowledge of applicable clinical research regulatory requirements, Good Clinical Practice (GCP) and International Conference on Harmonization (ICH) guidelines Strong working knowledge of SAS or RExcellent knowledge of CDISC Data Standards Superb communication and collaboration skills Independent and pro-active problem solving skills IQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries.
Leading, planning and executing audits generally require: Working with regional IT Audit Manager and/or Senior Experts to create audit programs that fulfill the audit’s intended objectives. Working closely with auditees to establish/promote relationships as well as ensuring proper understanding of related risks, concerns and current environment.
Strong experience with Lean methodology within the supply chain & Purchasing processes. An ERP/MRP subject matter expert, with strong data capture and analysis skills. Process Improvement Expertise: Proficiency in Lean, Six Sigma, or other process improvement methodologies.
Das Team Data Science & Advanced Analytics – mit Standorten in Frankfurt, Philadelphia, Mailand, Madrid, Athen, Warschau und Peking sowie einem Netzwerk von mehr als 300 Experten weltweit – ist das globale Kompetenzzentrum für Statistik und Data Science bei IQVIA. Das Team ist verantwortlich für die Entwicklung statistischer Verfahren und Methoden, die in Qualitätssicherungsprozessen, Datenimputationen, Datenprojektionen, Forecasting und vielen weiteren Bereichen für Healthcare‑Paneldaten eingesetzt werden, darunter Apothekenumsätze, E‑Commerce‑Daten, Krankenhausverbrauch, verschreibende Ärzte sowie longitudinale anonymisierte Patientendaten.