Performance Lead

One of the world’s largest advertising and media groups is hiring an experienced Digital Performance Lead to elevate its performance marketing efforts. This pivotal role requires a strategic thinker with advanced analytical capabilities, technical expertise, and the ability to mentor and inspire analysts and account managers.

Key Responsibilities:

• Provide expert guidance on day-to-day performance challenges, offering innovative solutions when the team encounters roadblocks.
• Conduct advanced data analyses to uncover new growth opportunities.
• Utilize tools such as BigQuery for high-level data analysis and reporting.
• Handle ad-hoc client requests involving complex analyses and deliver data-driven insights.
• Bring a fresh perspective to business reviews, recommending new strategies and analytical approaches.
• Standardize and formalize performance analysis methods to establish a consistent framework across teams.
• Teach, review, and support the team in building and optimizing dashboards.
• Mentor and train new team members during onboarding, and coach senior analysts on advanced tools and techniques.
• Foster a culture of learning and innovation by promoting effective use of platforms and dashboards.
• Collaborate with cross-functional teams to align performance strategies with broader business objectives.
• Stay current on platform updates and industry trends to ensure the team remains at the forefront of marketing performance.

Requirements:

• Minimum 3 years of experience in a performance marketing role, preferably within a digital marketing agency.
• High-level proficiency or native fluency in English, both spoken and written.
• Bachelor's degree in an analytical or related field.
• Advanced analytical skills and experience with tools such as Google Analytics, Google Ads, Meta Ads, LinkedIn Ads, and other marketing platforms (BigQuery is a plus).
• Experience in building and maintaining dashboards using tools such as Connected Sheets, Looker Studio, Power BI, or similar.
• Proven ability to mentor and train team members.
• Background in managing data automation projects is an advantage.