Data Analyst (Contract – 6months)

About WPP

WPP is the creative transformation company. We use the power of creativity to build better futures for our people, planet, clients, and communities. Working at WPP means being part of a global network of more than 100,000 talented people dedicated to doing extraordinary work for our clients. We operate in over 100 countries, with corporate headquarters in New York, London and Singapore. WPP is a world leader in marketing services, with deep AI, data and technology capabilities, global presence and unrivalled creative talent. Our clients include many of the biggest companies and advertisers in the world, including approximately 300 of the Fortune Global 500. Our people are the key to our success. We’re committed to fostering a culture of creativity, belonging and continuous learning, attracting and developing the brightest talent, and providing exciting career opportunities that help our people grow.

Job Summary

We are seeking a highly motivated and detail-oriented Data Analyst to join our Customer Success team. In this role, you will be instrumental in supporting our Digital Pulse operations, providing critical insights into our digital performance.

Key Responsibilities

• Proactively monitor and analyze digital performance metrics across various platforms, with a primary focus on website and app analytics.
• Identify trends, anomalies, and opportunities for optimization within our digital ecosystem.
• Develop and maintain a deep understanding of our digital user journeys and conversion funnels.
• Design, develop, and maintain interactive dashboards and reports in Looker to visualize key performance indicators (KPIs) and provide actionable insights to stakeholders.
• Automate reporting processes where possible to improve efficiency and data accessibility.
• Prepare regular and ad-hoc reports on digital performance for various business units.
• Utilize Google BigQuery to extract, transform, and load (ETL) large datasets from various sources, ensuring data accuracy and integrity.
• Write complex SQL queries to support analytical requests and data investigations.
• Collaborate with data engineering teams to ensure robust data pipelines.
• Translate complex data findings into clear, concise, and actionable recommendations for business stakeholders.
• Present insights effectively to both technical and non-technical audiences.
• Collaborate with marketing, product, and other teams to understand their data needs and provide relevant analytical support.

BAU Support & Optimization

Support ongoing…