Descripción del trabajo as part of the exus onekey digital team, you will be responsible for the co-development of a tracking framework across marketing campaigns and web events.
the development of digital behavioral insights data infrastructure and the creation of actionable custom persona building.
you will work on developing pharma-relevant segmentation criteria.
you will lead the piloting of the required digital softwares (cdp, dmp, tag management, identity graph) and bridge new data assets to existing ecosystems and participate in the creation of an identity resolution framework.
responsibilities : manage and support the effective delivery of behavioral insights projects collaborate with team members to build data pipelines and implement both batch and real-time event cross-department collaboration: liaise with product and operation teams to identify needs, define tracking requirements and propose solutions.
implement strategy to ensure insights are actionable for customer engagement projects building of new data layers or piloting their build in relationship with countries lead efforts and processes for persona building collaborating with the sales teams to identify and bring to market new research and data products support bids related to behavioral insights track and report on key performance indicators (kpis) related to insight generation and utilization collaborate with internal teams and data sources to aggregate more data layers introduce governance processes, develop project documentation, and provide regular progress reports requirements : experience in data analysis, modeling and architecture.
excellent sql skills.
experience in piloting martech and adtech platforms such as cdp, dmp, google analytics, adobe, salesforce knowledge or experience of data visualization is a plus (e.g.
; datorama, power bi, tableau, access, etc.)
experience in data and insights driven marketing environment with a strong understanding of the marketing technology stack including marketing automation, personalization, segmentation, analytics tools, and tag management systems.
experience in product ownership evaluation of gap analysis technically astute with the ability to translate potentially complex, ambiguous problems into easy to consume narratives.
structure datasets in various layers of data platform.
prepare data for use cases by creating governed business projects.
co-design analytics tools with functional product owner and it to leverage the structured data.
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