Data & Analytics Manager, Ad Tech Insights

WPP Media

Kuala Lumpur

On-site

MYR 180,000 - 240,000

Full time

12 days ago

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Job summary

WPP Media is seeking a Manager, Data & Analytics (Advertising Technology) to lead data products and reporting platforms, working with stakeholders and external partners to ensure performance, reliability and operational excellence.

You will combine deep technical data engineering with people leadership, build dashboards, advance attribution modelling, and drive automation across the data stack in a fast-paced APAC environment.

Qualifications

  • Extremely numerate, with excellent Excel capabilities.
  • Strong SQL, Python and VBA skills for data manipulation.
  • Experience with data pipelines and cloud platforms.
  • Ability to present technical insights to non-technical stakeholders.

Responsibilities

  • Design accurate, stable, scalable and cost-efficient data products and reporting.
  • Support attribution modelling, measurement and research capabilities.
  • Use data to build monitoring, predictive analysis methodologies.
  • Lead the rollout of data visualisation and BI tools.
  • Develop and maintain dashboards for business insights and management.
  • Build data models to respond to business requirements.
  • Monitor data segments for accuracy and validity.
  • Support sourcing of new data partners and data requirements.
  • Optimise process management workflow for efficiencies.
  • Manage pricing strategies to ensure validity and consistency.
  • Onboard new technology providers and data requirements.
  • Maintain expertise in advertising tech, data analytics and trends.
  • Liaise with external suppliers to identify opportunities.
  • Build valid business cases to justify investment.

Skills

SQL
Python
Excel
VBA
Data visualization
BigQuery
Azure
AWS
Databricks
dbt
Dataform

Tools

BigQuery
Azure
AWS
Databricks
dbt
Dataform

Job description

WPP Media is seeking a Manager, Data & Analytics (Advertising Technology) to lead data products and reporting platforms, working with stakeholders and external partners to ensure performance, reliability and operational excellence.

You will combine deep technical data engineering with people leadership, build dashboards, advance attribution modelling, and drive automation across the data stack in a fast-paced APAC environment.

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