Data Analyst H/F

Qantev is the most advanced AI Platform dedicated to helping health insurers deliver superior healthcare and claims experience to their members. By leveraging insurers' historical health claims data and applying advanced Machine Learning techniques and Generative AI, Qantev predicts patient journeys, optimizes healthcare outcomes and streamlines healthcare payers operations.Founded in 2018 and backed by top investors and industry leaders, Qantev has over 60 talented and diverse professionals based in Paris and Hong Kong, serving clients across Europe, the United States, Latin America, Asia, and the Middle East.If you are passionate about technology and the insurance industry, join Qantev and be a part of revolutionizing the insurance claims landscape with AI-driven solutions!We are currently looking for our Paris office, a Data Analyst M/F (CDI)Job DescriptionAbout the Team Reporting to the Head of Delivery, you’ll join a dynamic team. The Qantev Delivery team is vital in overseeing the entire client journey—from initial onboarding to successful software delivery. They ensure that client relationships are effectively managed and that client needs are met through Qantev’s AI-driven platform.About the role You will play an important role driving the successful end-to-end implementation of technical data driven projects, ensuring alignment with business goals, customer requirements, and industry standards. This role requires a blend of strong data analytical skills, technical expertise, and effective communication to drive innovation and achieve operational excellence.What you will do Gather and clean data from various sources to ensure accuracy and consistency for analysis. Ensure accuracy and consistency by sanitising and organising it appropriately.Use statistical methods and tools to analyze datasets, identify trends, patterns, and anomalies, and provide actionable insights. Develop and maintain data models to support analytical projects and initiatives. Provide data-driven recommendations to support strategic decisions and improve processes of data ingestion.Facilitate data review and analysis deep dive client workshops to resolve gaps.Technical DeliverySupport the software application design including data schema modeling, process workflow development and execution in line with Qantev Software Lifecycle operating principles.Contribute to the development of technology processes and internal frameworks.Documentation and ReportingCapture and document client strategy, operational processes and business rules and communicate to Technology Teams.Work in partnership with Technology and Product Team, scope feature requirements and conduct gap analysis.Maintain clear documentation of data processes, methodologies, and findings to ensure transparency and reproducibility. Create scripts that enable to create comprehensive reports and dashboards to visualize data findings and present them to Senior Customers.Preferred ExperienceWho you are To succeed in this role, you bring over 3 years of experience in a client facing data analysis role, ideally within a fast-paced environment (scale-ups). Additionally, experience in managing SaaS-based projects, including software integration and development, along with a strong analytical and problem-solving skills, with a keen attention to detail. You have a Bachelor's degree in Computer Science or Engineering.Proficiency in data analysis tools and languages such as SQL, Python, R, Excel.Experience with complex data structures.You should possess the ability to understand business processes and translate them into technology development deliverables for effective client IT delivery plan management.Fluency in English is required.Strong communication skills are vital for engaging effectively with both internal and external audiences, including large clients and senior executives. You should be comfortable working in a fast-paced environment, have a keen eye for creating clear and comprehensive corporate presentations, and strive for excellence. Proactive approach, ready to collaborate with teammates will be essential to your success.Knowledge of the insurance industry is a significant advantage.Understanding of AI and ML algorithms, including their applications and limitations.Experience with data visualization tools like Tableau, Power BI, or similar.Proficiency in additional languages like Spanish, Chinese, or Thai is an advantage.Recruitment ProcessScreening interview (30min)Round 1: Interview with the Head of Delivery (1hr)Round 2: Interviews with Tech Lead (1hr) #J-18808-Ljbffr