EMEAI Marketing Performance & Operations Lead

Oxford Instruments Plc; England; On-site; GBP 85,000 - 110,000; Full time

Job summary

Oxford Instruments Plc seeks a hands-on Marketing Performance and Operations Manager to build and lead regional capability across EMEAI. You will develop reliable data models, reporting processes and dashboards to show how marketing investment drives pipeline and revenue while improving data quality at source.

You will own substantial improvement programs, reconcile diverse data sources, and define trusted metrics for pipeline, attribution and spend.

Qualifications

• Hands-on data analytics and reporting experience in a B2B setting.
• Ability to design reliable data models and dashboards.
• Experience reconciling multiple data sources (CRM, marketing, finance, events).
• Strong SQL and BI capability; commercially aware.

Responsibilities

• Build and maintain reliable data models, reporting processes and dashboards.
• Take ownership of a substantial improvement agenda while delivering 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 regional marketing operations roadmap across EMEAI with cross‑functional teams.
• Demonstrate practical knowledge of CRM, marketing automation, APIs and data transformations.

Skills

SQL

BI reporting

Data modelling

Data quality

Education

Relevant degree or equivalent practical experience in data analytics, information systems, computer science, engineering, business or a related discipline

Tools

CRM

Marketing automation

APIs

Data transformation

Job description

Oxford Instruments Plc seeks a hands-on Marketing Performance and Operations Manager to build and lead regional capability across EMEAI. You will develop reliable data models, reporting processes and dashboards to show how marketing investment drives pipeline and revenue while improving data quality at source.

You will own substantial improvement programs, reconcile diverse data sources, and define trusted metrics for pipeline, attribution and spend.