Data-Driven Marketing Operations Leader (EMEAI)

Oxford Instruments EMEAI

High Wycombe

In loco

GBP 65.000 - 90.000

Tempo pieno

14 giorni+

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Descrizione del lavoro

Oxford Instruments EMEAI is seeking a hands-on Marketing Performance and Operations Manager to build and lead our regional capability across EMEAI. You will create a reliable view of how marketing investment generates pipeline, converts demand and contributes to revenue—while improving the systems, data and processes behind it.

You’ll map data structures, reconcile sources and deliver repeatable reporting, working with system owners to improve data quality at source.

Competenze

  • Experience in marketing operations, commercial analytics or revenue operations within a complex B2B organisation.
  • Track record of creating useful insight from fragmented and inconsistent data.
  • Practical knowledge of CRM, marketing automation, APIs and data transformation.

Mansioni

  • Build and maintain reliable data models, reporting processes and dashboards.
  • Take independent ownership of a substantial improvement agenda while personally delivering the technical work.
  • Reconcile CRM, marketing, digital, event, partner and finance data.
  • Define trusted measures for pipeline, conversion, attribution, spend and return.
  • Turn analysis into clear recommendations for marketing and commercial leaders.
  • Lead the regional marketing operations roadmap.

Conoscenze

Marketing analytics
SQL
Data modelling
BI tooling
CRM

Formazione

Degree in data analytics / IT / CS

Strumenti

CRM
Marketing automation
APIs
Data transformation

Descrizione del lavoro

Oxford Instruments EMEAI is seeking a hands-on Marketing Performance and Operations Manager to build and lead our regional capability across EMEAI. You will create a reliable view of how marketing investment generates pipeline, converts demand and contributes to revenue—while improving the systems, data and processes behind it.

You’ll map data structures, reconcile sources and deliver repeatable reporting, working with system owners to improve data quality at source.

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