The job profile for this position is Data Science Analyst, which is a Band 2 Senior Contributor Career Track Role.
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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
Intensive 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 analysts/lead analysts.
KPIs: Timeliness, accuracy, manager and client feedback (Internal and external as required)
Collaborate ,with internal stakeholders and demonstrate the ability 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
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
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
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 an added advantage
Experience working with complex datasets
Attention to detail
Drive for continuous improvement
Participation in external data hackathons and competitions will be an added advantage
Please note that you must meet our posting guidelines to be eligible for consideration. Policy can be reviewed at this link.