Job
Description
Key responsibilities Deliver quality analytics, from data preparation, data analysis, data exploration, data quality assessment, data manipulation, method selection, design & application, insights generation and visualisation Develop and implement basic machine learning models and algorithms under the guidance of senior data scientists to extract insights and solve business problems Proactive learning and acquisition of key analytical, technical and commercial skills and business knowledge to become a proficient Analyst working under the supervision of the senior/lead data science analysts. KPIs: Timeliness, accuracy, manager and client feedback (Internal and external as required) Collaborate with internal stakeholders and demonstrate the ability to transform client questions and problems into analytical solutions Active team member in providing the required support to help business understand and optimise use of analytical products and / or solutions Build industry knowledge on the advancements in the field of analytics, data science and GenAI Comply with the IM Cigna and CHSI Policies, procedures and processes, and continuously demonstrate Cigna Data and Analytics culture. Key activities Working in a team to support end-to-end analytical projects Liaising with stakeholders to determine objectives / scope of upcoming projects Data exploration, cleansing and manipulation Determining appropriate type of analysis and undertaking analysis/modelling Extracting insights Clear presentation of insights via spreadsheets, PowerPoint presentations, self-service analytical visualisation tools Participate in client meetings Ongoing stakeholder interaction (internal and external as required) on project progress Contribute to the Feedback process (between stakeholders and the team) to ensure continuous improvement with team Participate and contribute in learning forums such as Analytics Community and sharing knowledge with wider team Experience and education required 2-4+ years experience in a technical analytics environment, carrying out data analytics and data science/AI projects and initiatives Tertiary qualifications in engineering, mathematics, actuarial studies, statistics, physics, or a related discipline Knowledge of technical analytics discipline, including data preparation and foundational analytics concepts Experience with successfully managing both internal and external stakeholders, delivering against projects, tasks and activities in a dynamic deadline driven environment Commercial acumen to understand business needs and be able to suggest the commercial impacts of different analytics solutions or approaches Coding and modelling experience in SQL / R / Python and / or Cloud data platforms e.g. AWS Experience in visualization and data management tools is an added advantage Experience in GenAI/ LLMs is an added advantage Experience working with complex datasets Attention to detail and self driven continuous learning Participation in external data hackathons and competitions will be an added advantage
