Job Description:
The Data Team sit within our Implementation Department whose responsibility it is to implement first class pension administration solutions for our new and existing clients. Our span of projects can range from large blue chip strategic transformational deliveries through to small bespoke client solutions. Working closely with other stakeholders our activities and skills are wide and varied.
You will play a key role in implementation projects by using a variety of tools and techniques to migrate data to our HartLink system from other administration and payroll platforms, transforming the data to optimise operational efficiency.
What you'll be doing:
Help support the implementation cycle to understand requirements, data, processes and systems, and make recommendations on how to implement our product(s)/service(s) Perform ad-hoc or unusual Implementation data processes Identify, collate and document scheme/product information Support the technical development of our technology platforms through participation in analysis and design, and specification production for new and/or enhanced developments Feed into project management activities including risk and issue identification and mitigation Performing Implementation data processes including: Analysis of received, transformed and migrated data Transforming data to required formats and structures Loading of transformed data to target systems Perform any system configuration operations required Recording issues in appropriate logs and escalating where required to project lead Liaise with other teams, internal or external
What we're looking for:
Advanced Microsoft Excel skills Experience of data analysis, data cleaning, or data manipulation Evidence of involvement in project delivery Strong communication skills
Other desirable skills we look for:
Knowledge of programming languages, such as SQL and Python Knowledge of pension schemes and can explain the difference between DB, DC, CARE and Annuities and how they are administered Experience of data migration including analysis of data requirements, data analysis, data mapping (from and to pension systems) and configuration
