Client Focused Data Analyst, Performance Marketing

What You'll Do:

• Partner with commercial teams to create and deliver Client Business Reviews, including custom analyses, optimization recommendations, media plans and forecasts to improve performance and drive incremental revenue
• Create and share market trends and benchmarks to support in strategic planning
• Collaborate with Product Analytics to execute on performance-improving initiatives
• Surface client needs, recurring pain points, and analytical findings to help inform product and R&D discussions
• Develop expertise on a key growth area of the business. Take ownership over knowledge sharing within the team and building client facing collateral
• Troubleshoot campaign delivery and performance issues in time-sensitive, high-impact scenarios
• Stay informed on industry trends and advancements in AdTech, analytics, forecasting, and attribution
• Communicate project progress, timelines, risks, and challenges clearly to stakeholders and managers

Who You Are:

• Minimum 1 year of full-time, analytics-relevant experience
• Bachelor’s degree or equivalent practical experience
• Native-level English fluency
• Strong analytical and problem-solving skills with the ability to manipulate data sets to identify patterns and insights, and derive actionable strategies
• Skilled in data storytelling and crafting impactful presentations for both technical and non-technical audiences
• Conceptual and practical understanding of statistics, A/B testing, and experimental design
• Proficiency in SQL, Python, and Tableau for automating analyses and creating compelling visualizations
• Client and stakeholder management skills, with the ability to engage cross-functional teams
• Comfortable with ambiguity; able to select the best solution from various analytics techniques
• Open to experimenting with new tools, including AI, to improve individual productivity, streamline analysis workflows, and support learning and development
• Team player who thrives in a collaborative, inclusive, and learning-forward environment