At a glanceSummarised by Seekless from the posting.
Must have9
Degree in data analytics, data science, statistics, mathematics, computer science, or related field
At least 5 years of experience in data analytics, data science, or related role in the insurance or health industry
Familiarity with end-to-end analytics solutions build and servicing, code writing, and code testing best practices
Experience in translating business problems into data and analytics solutions and influencing senior stakeholders
Proficiency in programming languages and tools (e.g., Python, SQL, Spark)
Understanding of cloud-based data platform and analytics technologies (e.g., Azure, Databricks, MLflow)
Strong communication and presentation abilities
Enthusiastic about improving health outcomes and customer experience through data and analytics
Ability to work independently and in a team, and to manage multiple tasks and deadlines
Skills
Python
SQL
Spark
Azure
Databricks
MLflow
Benefits
Health insurance
About the company
Prudential’s purpose is to be partners for every life and protectors for every future. Our purpose encourages everything we do by creating a culture in which diversity is celebrated and inclusion assured, for our people, customers, and partners. We provide a platform for our people to do their best work and make an impact to the business, and we support our people’s career ambitions. We pledge to make Prudential a place where you can Connect, Grow, and Succeed.
Job Summary:
In this role, you will support the objectives of Prudential’s health strategy, develop a roadmap and use cases that align with it, and lead the delivery of preferred provider health data analytics. You will work closely with data science and data engineering teams to leverage data and insights to improve health outcomes and customer experience. You will also collaborate with business stakeholders and external partners, to understand their needs and provide actionable recommendations.
Job Description:
•
Define and execute the health preferred provider analytics strategy and roadmap, ensuring alignment with Prudential’s health vision and goals
•
Manage the end-to-end delivery of health provider analytics, from dashboard ideation to data interpretation, negotiation with preferred providers, deployment of feedback mechanism for preferred providers and ensuring quality, timeliness, and scalability
•
Work with data science and data engineering teams to design, develop and test data models, algorithms, and pipelines that support health provider network analytics use cases
•
Work with business stakeholders and external partners to understand their requirements, challenges, and opportunities, and provide data-driven solutions and insights
•
Communicate and present health network analytics findings and recommendations to senior management and relevant audiences, using clear and compelling visualizations and narratives
•
Stay abreast of the latest trends, technologies, and best practices in health analytics, and identify opportunities for innovation and improvement
•
Support the Group Health Claims recovery team in identifying leads, monitoring recoveries, setting recovery targets
•
Ability to work independently and in a team, and to manage multiple tasks and deadlines
Who we are looking for:
Competencies & Personal Traits
•
Strong communication and presentation abilities to convey complex technical concepts to non-technical stakeholders
•
Enthusiastic about improving health outcomes and customer experience through data and analytics
Education & Working Experience
•
Degree in data analytics, data science, statistics, mathematics, computer science, or related field
•
At least 5 years of experience in data analytics, data science, or related role in the insurance or health industry
•
Familiarity with end-to-end analytics solutions build and servicing, code writing, and code testing best practices is essential
•
Experience in translating business problems into data and analytics solutions and influencing senior stakeholders and business partners in their adoption
•
Proficiency in programming languages and tools (e.g., Python, SQL, Spark)
•
Understanding of cloud-based data platform and analytics technologies (e.g., Azure, Databricks, MLflow)
Legal
Prudential is an equal opportunity employer. We provide equality of opportunity of benefits for all who apply and who perform work for our organisation irrespective of sex, race, age, ethnic origin, educational, social and cultural background, marital status, pregnancy and maternity, religion or belief, disability or part-time / fixed-term work, or any other status protected by applicable law. We encourage the same standards from our recruitment and third-party suppliers taking into account the context of grade, job and location. We also allow for reasonable adjustments to support people with individual physical or mental health requirements.