Mi Analytics Solution Analyst

2 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 implementing the analytics solutions within the Transformation Programme. The individual will work with the FFP Data workstream and under the guidance of the MI Product Owner to implement the solution design 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 analytics solutions design 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 and end-user analysts at the regional level.
- Collaborate with stakeholders to understand the analytics use-case requirements, and implementing the analytics solutions.
- Support the development of an integrated analytics solution 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 Solutions Analyst with Finance and insurance domain experience.
- Education Level: Bachelor’s degree (2:1 honor or higher) or equivalent level
- Personal Attributes: Strong analytical skills, leadership capabilities, effective communication, and problem-solving ability.
- Specific Skills: Expertise in analytics solutions design and implementation, data modelling and analytics dashboarding.
- Certifications: Relevant certifications in data solutions design or related domains.

Mandatory skills
- Deep technical skills in cloud-based analytics solutions design and delivery, on MS Azure
- Data modelling and data visualization background in Insurance / Actuarial sectors, including Power BI
- Technology delivery project management experience
- Relevant programming language skills (eg. SQL, Python, DAX)
- Awareness of Insurance Finance and Actuarial data requirements

Preferred skills
- Accreditation in MS Azure, Databricks, Power BI
- Experience with Cognos.

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