Client Focused Data Analyst, Performance Marketing

Criteo Technology; New York (NY); On-site; USD 70,000 - 95,000; Full time

Job summary

Criteo Technology in New York is seeking a data analytics professional to partner with commercial teams on client reviews, forecasts and performance optimization.

You will design and analyze controlled A/B tests, share market benchmarks, and collaborate with Product Analytics to drive performance improvements. The role emphasizes data storytelling and cross-functional collaboration in a fast-paced AdTech environment.

Qualifications

• Minimum 1 year of full-time analytics 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.
• 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.

Responsibilities

• Partner with commercial teams to create and deliver Client Business Reviews, including analyses, optimization recommendations, media plans and forecasts.
• Design, manage, analyze, and communicate results of controlled A/B tests.
• Create and share market trends and benchmarks to support strategic planning.
• Collaborate with Product Analytics to execute on performance-improving initiatives.
• Surface client needs and analytical findings to inform product and R&D discussions.
• Identify ways to improve efficiency in executing tasks through automation or delegation with Global Client Operations Center.
• Develop expertise on growth areas and share knowledge within the team.
• Troubleshoot campaign delivery and performance issues in time-sensitive scenarios.
• Stay informed on AdTech trends, analytics, forecasting, and attribution.
• Communicate project progress, timelines, risks, and challenges clearly to stakeholders.

Skills

SQL

Python

Tableau

Data storytelling

Analytical thinking

Problem solving

A/B testing

Stakeholder management

Statistics

Education

Bachelor’s degree

Tools

Tableau

Python tooling

Job description

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
• Design, manage, analyze, and communicate results of controlled A/B tests
• 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
• Leverage the partnership with our Global Client Operations Center to identify ways to improve efficiency in executing tasks through automation or delegation
• 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
• Proactive, organized and able to effectively prioritize tasks<