Mi Data Sourcing Analyst

5 days 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
- 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.

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