Develop clear visualizations toconvey complicated data in a straightforward fashion &continually develop the Automotive Insights Portal.
Support in the development of data standards and protocols toensure scalability and support self-service data use.
Data Management :
Workclosely with the Customer Data Manager, group Data / IT teams andthe Automotive brands, and potentially vendors, to identify datagovernance, data quality and analytics opportunities based on adeep understanding of our businesses and their information assets.
Conducting data quality assessments, ensuring with allstakeholders are always adhering to data structure &protocols (ingesting or exporting data / hashing data)
Conduct data quality measurements according to defined data qualityrules.
Data Engineering :
Synthesize information from various sources-i.e. CRM, SAP, BI, new data source to Extract / generate periodiccustomized / standard reports as required.
Use availabletools to manually apply required transformations, enrichments, anddata derivations in order to prototype outcomes for data consumers.
Use modern tools and technologies to identify andprioritize opportunities for automation across data sourcing andtransformation and communicate transformation, data derivation andcleansing logic effectively to engineers andstakeholders.
Theposition impacts the organization by supporting the data governanceand data quality performance, data analysis & reporting,including metrics, KPIs and issue remediation in conjunction withdata owners.
The incumbent is expected toestablish themselves as a subject matter expert with both theAutomotive brands and the Group support functions (group IT andData / Analytics).
They will collaborate and,where practicable, support standardizing of processes,methodologies and procedures that can be applied throughout theAutomotive division.