Jobs at Kantar

No specific responsibilities listed. Kantar is hiring a Brand Analyst in Mexico City to contribute to data-driven brand and market insights within a global insights and consulting firm.

The Account Manager will manage client relationships, oversee project management, and ensure effective communication while maintaining budgets and compliance with procedures.

Lead and deliver brand, creative, and innovation quantitative research projects: design studies, manage timelines, perform data analysis and reporting, ensure quality, present findings, mentor junior staff, and maintain client relationships.

Lead client-facing customer analytics engagements, translate customer and marketing data into actionable insights, design experimentation and measurement frameworks (A/B, holdouts, incrementality), oversee distributed delivery teams, mentor analysts, and support business development to scale analytics offerings that improve customer engagement, retention, and marketing effectiveness.

As a Senior Data Engineer, you will design data pipelines, collaborate with teams, build demos, and improve data processes within a cloud-native environment.

Support media clients by executing advertising effectiveness studies end-to-end: study setup, survey design, data analysis, reporting and presentations. Manage timelines and quality, lead client meetings, develop actionable media and creative recommendations, perform quality checks, and continuously improve analytic skills and processes.

Manage client relationships and revenue for assigned accounts, ensure project profitability, design and execute quantitative market research, identify new business opportunities, lead and develop team members, present strategic analysis to senior client stakeholders, and oversee P&L and project cost controls.

Lead strategic client relationships and drive account expansion and profitability. Develop account growth plans, identify new business, integrate insights and AI-enabled tools, ensure delivery excellence, lead teams, and shape commercial strategy in collaboration with local and global leadership.

The Research Manager will oversee and coordinate brand strategy projects, mentor junior team members, and deliver insightful reports to clients, ensuring operational excellence throughout the research lifecycle.

Client-facing sales role responsible for managing client relationships, driving revenue growth, winning new business, and representing Kantar's data and insights offerings to customers.

Support month- and year-end close activities including balance sheet reconciliations, journals, and financial statement preparation. Maintain ledgers and prepare period close entries, coordinate reporting schedules, load statements into consolidation tools, and liaise with internal and external partners to resolve issues and support audit readiness.

Support end-to-end billing and Quote-to-Cash processes, ensure invoices are accurate and compliant, resolve billing queries, maintain SOPs and reports, collaborate with Q2C and finance teams, and identify process improvements to drive efficiency and standardisation.

Group Accountant role supporting the Functions/Finance team at Kantar. Provide group-level accounting support including financial reporting, consolidation, month-end close, compliance, and partnering with cross-functional teams to improve processes and controls.

Maintain and evolve the data ecosystem for fraud detection and analytics: build and operate ELT/ETL pipelines, integrate multiple data sources, implement monitoring/alerting, automate processes, collaborate with data scientists and commercial teams, mentor junior engineers, and communicate technical work to non-technical stakeholders.

The Senior AI Engineer will develop and maintain AI pipelines, deploy models, troubleshoot issues, and manage AI solutions using advanced AI/ML techniques.

The role involves managing quantitative research projects, client communication, analyzing data, and providing actionable insights, primarily for Natura accounts.

This role involves understanding business needs, driving product discussions, documenting requirements, collaborating technically, and utilizing data analysis for decision making.

Support Marketing Mix Modeling (MMM) projects by preparing and validating data, running regression/time-series analyses, executing predefined workflows, and assisting senior analysts with model interpretation, QA, and client-ready reporting. Collaborate with cross-functional and offshore teams while building foundational MMM expertise and contributing to process improvements.

Lead yield optimization efforts by improving models for consistency, forecasting, and explainability. Analyze historical trading data, develop statistical strategies, collaborate with developers and commercial teams, deploy models to production, and present findings to non-technical stakeholders to drive automated, data-driven decisioning and continuous improvement.

Lead design and scaling of yield, pricing, and matching models; analyse large-scale trading and behavioral data; define data science strategy for optimisation and forecasting; partner with commercial, engineering and product teams; mentor senior/mid-level data scientists; communicate technical findings to non-technical stakeholders and ensure robust production deployment.