Data Executive (Data Analytics)

TL;DR

Data Executive (Data Analytics): Analyzing and integrating media performance data with measurement solutions to improve campaign effectiveness with an accent on developing and deploying media measurement solutions. Focus on delivering actionable insights, interpreting data, and applying statistical tests to draw robust conclusions.

Location: Hybrid, UK based role (London). Requires individuals to have the right to work in the UK and be in the office around four days a week.

Company

hirify.global is WPP’s global data products and technology company, building an AI-enabled media and data platform for advertising.

What you will do

• Collate and integrate media performance data with measurement partner solutions for internal reporting.
• Collaborate with client teams to implement measurement and analytics solutions.
• Implement media campaign measurement including Brand Lift Studies, Conversion Lift Studies, and Matched Market Testing.
• Deliver actionable insights to inform future campaigns and improve effectiveness.
• Play a key role in collating and reporting incrementality results from Meta, Google, and other media channels.

Requirements

• Highly numerate, able to interpret data and apply statistical tests to draw robust conclusions.
• Hold a degree in a quantitative field: Statistics, Mathematics, Economics, Engineering, Physical Science or Computer Science.
• Knowledge of applying measurement to media campaigns through Meta/Google, particularly brand lift studies.
• Experience in analytics, measurement, data science, or a related field.
• Well-developed problem-solving skills and the ability to think critically and creatively.
• Strong communication skills, with the ability to engage both technical and non-technical audiences.
• Familiarity with SQL and project management tools such as Jira/Trello/Wrike/Asana.

Nice to have

• Experience presenting data in a visually engaging and insightful manner.
• Client-facing experience, with the ability to translate complex analytical insights into clear, actionable recommendations.
• Familiarity with R & Python, including use of packages such as pandas, numpy, scipy & matplotlib.
• Knowledge of market research methodologies.
• Knowledge of cloud technologies, such as BigQuery & GCP.
• Knowledge of predictive models and data sources via APIs.

Culture & Benefits

• Hybrid work approach, with teams in the office around four days a week.
• Access to global WPP Media & WPP networks for growth and learning.
• Employee resource groups and frequent in-office events showcasing team wins and thought leadership.
• Competitive medical, group retirement plans, vision, and dental insurance.
• Significant paid time off and preferential partner discounts.
• Employee mental health awareness days.