DescriptionThe Role
- Data specialist within a dedicated team responsible for the delivery of new client installation projects.
- You will be highly numerate with good analytical skills and organisation skills to complement your technical expertise.
- Projects will involve the analysis transformation mapping and system configuration of pension scheme data onto our proprietary administration platform as well as requiring an understanding of UK DB pension scheme benefits and member data.
- Work will include all aspects of a data installation including but not limited to data receipt and initial analysis eepoint table configuration report configuration data transformation (using Quantify) data loading and tests go-live tasks and member portal configuration and testing. Existing skills using eepoint and Quantify platforms would be desirable but is not essential.
- You will need to be comfortable adapting to new systems and ways of working keen to learn new specialist skills and focused on delivery. Collaboration and the ability to clearly communicate technical concepts to other members of the team is essential.
- Experience in pension data analysis and transitions in an administration consulting or insurance context is advantageous.
Our work style: We understand flexibility is key to supporting an inclusive and diverse workforce and WTW offers flexible working opportunities (full time or part time) in a hybrid style with a mix of remote in person and in-office interactions dependent on the needs of the team role and clients.
Responsibilities.
QualificationsThe Requirements
- A proven track record in delivering multiple projects to set deadlines
- Openness to learning new skills
- Knowledge of UK DB pensions is not required but this role will offer the opportunity to learn via training and client projects
- Experience of analysing and mapping pension scheme data is ideal
- An understanding of how data is used in benefit calculations and processes
- Excellent Microsoft Office skills particularly Excel
- Experience working with pension administration systems or other similar databases
- A clear and concise communicator of complex or technical issues
- Focused working style with good personal organization skills
- Committed to delivering high quality service
- Ability to work both independently and in teams in a fast-paced environment
- Inquisitive self-starter attitude and ability to work with ambiguity
At WTW we believe difference makes us better. We want our workforce to reflect the different and varied markets we operate in and to build a culture of inclusivity that makes colleagues feel welcome valued and empowered to bring their whole selves to work every day. We are an equal opportunity employer committed to fostering an inclusive work environment throughout our organisation. We embrace all types of diversity.
WTW is an Equal Opportunity Employer
Required Experience:
IC
DescriptionThe RoleData specialist within a dedicated team responsible for the delivery of new client installation projects.You will be highly numerate with good analytical skills and organisation skills to complement your technical expertise.Projects will involve the analysis transformation mapping...
DescriptionThe Role
- Data specialist within a dedicated team responsible for the delivery of new client installation projects.
- You will be highly numerate with good analytical skills and organisation skills to complement your technical expertise.
- Projects will involve the analysis transformation mapping and system configuration of pension scheme data onto our proprietary administration platform as well as requiring an understanding of UK DB pension scheme benefits and member data.
- Work will include all aspects of a data installation including but not limited to data receipt and initial analysis eepoint table configuration report configuration data transformation (using Quantify) data loading and tests go-live tasks and member portal configuration and testing. Existing skills using eepoint and Quantify platforms would be desirable but is not essential.
- You will need to be comfortable adapting to new systems and ways of working keen to learn new specialist skills and focused on delivery. Collaboration and the ability to clearly communicate technical concepts to other members of the team is essential.
- Experience in pension data analysis and transitions in an administration consulting or insurance context is advantageous.
Our work style: We understand flexibility is key to supporting an inclusive and diverse workforce and WTW offers flexible working opportunities (full time or part time) in a hybrid style with a mix of remote in person and in-office interactions dependent on the needs of the team role and clients.
Responsibilities.
QualificationsThe Requirements
- A proven track record in delivering multiple projects to set deadlines
- Openness to learning new skills
- Knowledge of UK DB pensions is not required but this role will offer the opportunity to learn via training and client projects
- Experience of analysing and mapping pension scheme data is ideal
- An understanding of how data is used in benefit calculations and processes
- Excellent Microsoft Office skills particularly Excel
- Experience working with pension administration systems or other similar databases
- A clear and concise communicator of complex or technical issues
- Focused working style with good personal organization skills
- Committed to delivering high quality service
- Ability to work both independently and in teams in a fast-paced environment
- Inquisitive self-starter attitude and ability to work with ambiguity
At WTW we believe difference makes us better. We want our workforce to reflect the different and varied markets we operate in and to build a culture of inclusivity that makes colleagues feel welcome valued and empowered to bring their whole selves to work every day. We are an equal opportunity employer committed to fostering an inclusive work environment throughout our organisation. We embrace all types of diversity.
WTW is an Equal Opportunity Employer
Required Experience:
IC
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