MI Data Sourcing Analyst

1 month ago

Singapore Prudential plc Full time
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.

The role is responsible for sourcing data for the analytics solutions within the Transformation Programme. The individual will work very closely with the FFP Data workstream and under the guidance of the MI Product Owner to provide data solutions for the Finance GTP and long-term technology delivery roadmap. The role will require experience and technical knowledge across several data-related domains, including: cloud-based data platforms and architecture, data engineering / programming, data integration & pipeline engineering, data quality, Master data management, data governance & management. The individual will be expected to understand Insurance, Finance and Actuarial data requirements and analytic use cases, and implement the solutions to meet these requirements.

Role and Responsibilities
  • Work closely with a project team including the MI tech product owner, data owners and data architects at the regional level.
  • Collaborate with stakeholders to understand the data sources and analytics requirements, and implementing the relevant data solutions.
  • Support the development of an integrated data platform supporting the Finance and Actuarial function.
  • Contribute to the creation of a single source of trusted data to meet the needs of the Finance function and wider stakeholders.
  • Drive the development of future-ready Finance analytics systems, emphasizing data process automation.
  • Eliminate manual data processes and interventions, fostering a culture of embedding data within decision-making.
  • Provide challenge proposed designs and solutions within the Future Finance Programme.

Qualifications
  • Experience Level: Minimum 5+ years of relevant experience and proven track record as a Data Engineer with Finance and insurance domain experience.
  • Education Level: Bachelor's degree (2:1 honor or higher) or equivalent level
  • Personal Attributes: Strong analytical skills, effective communication, and problem-solving ability.
  • Specific Skills: Expertise in data engineering solutions design and implementation, data modelling and systems integration.
  • Certifications: Relevant certifications in data engineering, cloud-based data platforms.

Mandatory skills
  • Deep technical skills of data engineering and data integration application in the market, including Databricks
  • Data engineering and modelling in Insurance / Actuarial sectors
  • Broad knowledge in cloud-based data platforms solutions design and provisioning, on MS Azure Data Factory
  • Technology delivery project management experience
  • Relevant programming language skills (eg. SQL, Python, Infrastructure-as-code)
  • Awareness of Insurance Finance and Actuarial data requirements

Preferred skills
  • Accreditation in MS Azure, Databricks.
  • Experience with Cognos.


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.

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