This is a technical role, working within the Implementation Serviced Department as a specialist resource where you will be managing the migration and deployment of customer data and configuration as well as setting up scheduled data export/import routines.
Responsibilities
* Helping customers understand their legacy and target data models and recommending actions to assist in effective migration
* Analysis of customer data and production of data quality reports outlining data quality issues and recommending “quick wins” for fix and highlighting issues.
* Accurate Data mapping between legacy and new schemas
* Test and final load of data sets into customer environments in such a way as to give confidence in completeness and accuracy, minimising business impact
* Working directly with customers to support them in getting the most out of Salesforce.com and feeding back to product teams where data model adjustments would be beneficial.
* Managing your own time whilst working within the project constraints
* Taking part in project planning exercises and ensuring data concerns are given full consideration
* Setup of inbound/outbound data integrations and assisting with any related support tickets.
* Preparation of data mapping templates, data containers and ongoing development of supporting documentation.
Requirements
* A deep interest in, and enjoyment of working with data is essential for this role.
* Experience using your choice of tooling (MS Excel, MS Access, SQL, Jitterbit, Alteryx, Open Refine, Informatica, Talend, VBA and Python(Simple Salesforce, Pandas, Rest API) to extract, transform and load data between systems.
* You should expect to be working across several projects simultaneously and be comfortable working to customer deadlines.
* Ability to quickly adapt to new situations, different business practices and challenges of working in the public sector
* A proven ability to plan, organise, prioritise, manage and track numerous concurrent activities to successful outcomes
* Experience with data modelling – A working knowledge (or beyond) of data modelling techniques would be a distinct advantage. For example being able to interpret, write and (to the right audience) explain an ERD would help you hit the ground running in this role.
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