Euromonitor International

Product Manager

• Reporting to the Head of the Enterprise Applications
• Leads the ideation, delivery and optimisation of marketing technology solutions and process to drive revenue growth and enhance marketing performance
• Ensures all Martech platforms and automation tools deliver measurable value by enabling data-driven campaigns, improving customer engagement, and supporting a culture of continuous improvement across all facets of Marketing
• Work collaboratively with the Marketing team to define and deliver a Marketing roadmap aligned with business strategy, growth objectives and marketing priorities
• Identify, define and deliver enhancements and optimisations across marketing automation workflows to improve campaign efficiency and lead nurturing
• Establish and maintain reporting frameworks and dashboards to track marketing KPIs linked to revenue impact
• Be the first port of call for Marketing requirements to ensure successful delivery of new solutions/enhancements and ensure continued support of existing tools and platforms
• Partner with marketing, sales, and IT teams to ensure seamless integration and adoption of Martech solutions
• Manage relationships with technology providers to maximise service quality and cost efficiency
• Leverage data insights to refine marketing strategies and improve ROI
• Identify and implement enhancements to marketing processes for better scalability and compliance
• Stay updated on Martech trends and recommend innovative solutions to maintain competitive advantage

Marketing Product Manager

Consultant

• Plan and execute custom research projects end to end, including project briefs, frameworks, and timelines
• Deliver actionable insights using quantitative and qualitative analysis
• Conduct primary research (industry interviews, consultations) and secondary research using internal and external sources
• Manage analysts and external providers (task allocation, timelines, coordination, payments)
• Ensure high quality and accuracy across all data, analysis, and deliverables
• Communicate with clients throughout the project lifecycle and present insights confidently
• Develop C-suite–ready presentations and reports using clear storytelling
• Collaborate with regional teams (MEAI, Europe) to align on objectives and timelines

Associate Consultant

Analyst

• Transformar estimativas de dados em resultados valiosos para os clientes
• Colaborar com equipes comerciais para construir e manter relacionamentos de longo prazo com clientes importantes
• Fazer parceria com a equipe de Atendimento ao Cliente para transformar as dúvidas dos clientes em novas oportunidades
• Envolver-se em esforços de comunicação e relações públicas, incluindo participação em conferências
• Realizar pesquisas primárias para reunir insights críticos do setor
• Preparar relatórios detalhados que informam a tomada de decisões estratégicas dos clientes
• Fornecer insights e conteúdo baseados em dados

Analista Sênior

Account Manager

• Generate sales with the existing client companies in your designated territory through proactive outreach and consultative engagement.
• Identify key sponsors, influencers, and decision-makers at target companies, understand their roles and objectives, and effectively communicate the benefits and applications of Euromonitor’s data and solutions.
• Develop client relationships to grow network of users, grow usage, establish Euromonitor as must-have, develop partnership style relationship, understand company organisation, strategy and priorities, ensure renewal, secure incremental revenue (up-sell and cross-sell).
• Provide research support to clients as required. Evaluate and promote usage within each client company.
• Train users face-to-face or via online demos.
• Manage contract renewal negotiations. Identify and act on opportunities for revenue growth using “consultative selling” techniques, team working with sales people on each account.

Account Manager – Partnerships, Agencies, Banks, Consultancies

AI Research Scientist

• Design and prototype advanced AI models, including NLP, computer vision, and multimodal architectures
• Build and validate LLM‑based solutions, including retrieval‑augmented generation (RAG), prompting frameworks, and fine‑tuned models
• Develop proof‑of‑concept pipelines across supervised, unsupervised, and semi‑supervised tasks
• Translate domain and industry knowledge into scalable AI techniques
• Conduct data quality monitoring, exploratory analysis, and feature engineering
• Communicate AI findings clearly through written narratives, visuals, and presentations
• Collaborate with Data Scientists, AI Engineers, Product teams, and stakeholders
• Ensure models are robust, maintainable, and compatible with existing production ecosystems

Senior AI Scientist

Machine Learning Engineer

• Join our brand-new AI & R&D team at the ground floor, shaping technical direction and building scalable, production‑grade machine learning and AI systems.
• Reporting to the Head of AI & R&D, you will play a key role in designing, implementing, and validating advanced ML solutions across agentic LLMs, Retrieval‑Augmented Generation (RAG), and fine‑tuning foundation models.
• This role blends hands‑on engineering with experimentation, moving from proof‑of‑concepts to high‑quality prototypes that pave the way for full‑scale production deployment.
• Design, implement, and iterate on ML and AI initiatives from ideation through prototype.
• Build, train, and evaluate LLM-based systems, including RAG pipelines, fine-tuning, and agentic workflows.
• Develop clean, well-structured, and reusable Python code and ML components for experimentation.
• Collaborate closely with AI/ML Engineers and Software Developers to transition prototypes toward production.
• Create and maintain evaluation frameworks, benchmarking methods, and experiment tracking.
• Support data preparation, feature engineering, and data quality processes.
• Stay current with research across LLMs, multi-agent systems, embeddings, and applied generative AI.
• Provide technical mentorship and contribute to shaping engineering standards and best practices.
• Communicate technical findings clearly to both technical and non-technical audiences.

ML Engineer

Full-stack Engineer

• Design, build, and enhance web applications using modern .NET technologies
• Collaborate with developers, Product Owners, Business Analysts, and Architects
• Participate in shaping technical solutions and refining requirements
• Write clean, tested code and participate in peer reviews
• Contribute to architectural discussions and bring new ideas to the team

Software Engineer

• Oversee full research management, from project set-up and execution to final delivery.
• Analyze large-scale quantitative datasets, including SKU-level data, ecommerce POS, consumer/B2B surveys, pricing, social listening, clickstream, and forecasts, to uncover trends and market drivers.
• Develop clear, story-driven narratives that translate complex findings into actionable insights and meaningful business implications for clients.
• Balance insights from diverse research methods to provide a holistic evidence base.
• Identify data quality issues to propose solutions and communicate recommendations clearly to internal and external stakeholders.
• Effectively use dashboards and reporting tools to bring data to life and communicate insights in a visually compelling way.
• Work closely and manage cross-functional internal teams to deliver high-quality, integrated project outcomes.
• Leverage client relationships and subject-matter expertise to identify opportunities for repeatable project work and expand solutions across accounts in collaboration with sales teams.

Consultant – Product Innovation

• Understand company organisation, strategy and priorities, uncovering new target groups and locating upsell and assisting to secure renewable revenue
• Devise and execute a strategy for each account in collaboration with the GAM and input from the GADs and manager
• Conduct compelling, thought-provoking client outreach to engage new and existing contacts with Euromonitor content with the goal of identifying leads for further development
• Collaborate with Senior Product Specialist team to optimise knowledge and resources
• Work with Marketing team to ensure campaigns are tailored and targeted
• Provide expert research support to all clients, through detailed understanding of Euromonitor’s product portfolio and research methodology
• Implement high level engagements across accounts to elevate our Research Expertise and increase our stickiness with clients

Client Consultant

• Manage end‑to‑end project delivery, including briefs, planning, templates, and supporting materials
• Develop hypotheses and insights using robust frameworks to address complex client challenges
• Conduct rigorous quantitative and qualitative research to deliver high‑value analysis and reports
• Oversee day‑to‑day management of analysts, including scheduling, communication, and quality oversight
• Partner with internal recruiters to ensure projects are properly resourced with suitable analyst talent
• Ensure accuracy and quality of all deliverables through validation, data checking, and interpretation
• Coordinate with regional teams to align on project goals, timelines, and expectations
• Maintain organised project documentation and folders for easy access across teams
• Lead and conduct primary interviews with industry experts, companies, associations, and internal team
• Perform thorough secondary research using internal databases and external sources
• Apply mixed‑method research (data, surveys, primary interviews, syndicated sources) to answer client questions
• Collaborate cross‑functionally with Consulting and Syndicated teams on projects and internal initiatives
• Share and identify new research sources to strengthen project insight
• Manage client communication from project kick‑off through to delivery
• Develop clear, persuasive insights and C‑suite‑ready presentations
• Confidently present findings to clients and address all follow‑up queries
• Build and maintain strong client relationships throughout the engagement
• Support business development through capability pitches, needs‑assessment calls, and proposal input
• Collaborate with commercial teams post‑delivery to explore follow‑on opportunities

Data Analyst

• Development of a new and improvement of an already existing code that treats the data, performs various mathematical transformations and statistical computations.
• Participation in internal peer review meetings and contribution to the best solution search process as well as giving comments on already created preliminary solutions
• Draw conclusions based on the results
• Monitoring for latest developments in the field to make sure we use cutting edge programming and cloud solutions
• Proper documentation of each project and sharing best practices

Human Resources

• **What you’ll do**
• As our HR function evolves toward a more business‑partnered and talent‑focused model, you’ll support day‑to‑day people operations while helping us improve how HR delivers value across the organisation. You’ll act as a trusted advisor, a problem‑solver and a process improver, ensuring a great employee experience at every stage of the employee lifecycle.
• **Employee Relations & Policy**
• - Support HR Business Partners with conduct, capability and other HR related cases
• - Provide first‑line guidance in meetings and ensure accurate, compliant documentation
• - Act as a policy and process expert, advising on consistent application across the business
• **Stakeholder Support**
• - Be the first point of contact for HR queries, providing clear and pragmatic advice
• - Partner with managers and HRBPs to resolve day‑to‑day people issues quickly and effectively
• **Absence & Family Leave**
• - Analyse and report on sickness absence.
• - Support managers with policy triggers and documentation for formal meetings
• - Coordinate family leave processes and Return to Work arrangements
• **HR Operations**
• - Lead onboarding activities: contracts, setup and inductions
• - Coordinate offboarding, including terminations, holiday balance reviews and communication with Payroll and IT
• - Prepare monthly payroll changes with accurate, complete data
• - Maintain personnel files, support visa/reference requests and complete annual audits
• **Process Improvement**
• - Update and improve HR templates, guidance materials and internal resources
• - Streamline how information is stored, accessed and shared across the HR team and wider organisation

HR Advisor – FTC

• Research and maintain datasets from national and international statistical sources
• Clean, standardize, and analyze data using R and Excel
• Build forecasts using extrapolation, interpolation, and modelling techniques
• Ensure data quality, consistency, and cross-country comparability
• Improve data collection and automation processes
• Document workflows and best practices
• Work with sales and marketing teams and respond to client data queries

Data Analyst – E&C

• **Kickstart a meaningful career in market research and data. Learn, grow, and build long‑term.**
• Euromonitor’s Catalyst team is hiring a junior Data Analyst in Bangalore. If you're passionate about data, eager to learn, and looking for stable growth, this role is for you. **Help us turn complex data into clarity. **
• **The Team**
• Catalyst is one of Euromonitor’s centres for **data innovation** and **scalable solutions**. We help organisations unlock the value of data—making insights accessible, actionable, and impactful. Our work spans dynamic market sizing, digital analytics, data visualisation, web scraping, process automation, and more.
• As part of the global Foundational Data Group, you’ll join teams across Analytics, Consumer Insights, Data Science, Data Engineering, and Economies & Consumer Analytics. We share one mission: turning complex datasets and methods into smarter decisions for clients.
• **The Opportunity**
• **As an Associate Data Analyst you will combine multiple sources (internal and external), clean and validate datasets, and deliver concise, well‑written insights for clients across industries. **
• This role is designed for someone serious about building a long-term career in market research data. If you want depth, mentorship, and real project ownership—not a quick stepping stone—this could be your place.
• You’ll gain hands‑on experience across industries (FMCG, consumer finance, government bodies, trade associations, etc.) and geographies. You’ll develop core research and analytics skills while collaborating with experienced analysts across the world.
• This is a two‑way investment. We invest heavily in our people through training, coaching, and real responsibilities. In return, we expect commitment, curiosity, and a growth mindset.

Associate Data Analyst

Learning and Development

• Lead the global sales capability approach, translating commercial priorities into programmes that improve speed to productivity and sales performance
• Define and manage a global sales curriculum aligned to growth strategy, ensuring consistent execution, clear standards and measurable impact on sales outcomes.
• Design and lead global sales onboarding to reduce ramp time and accelerate time to first deal and quota contribution.
• Drive targeted upskilling for priority roles and segments, addressing performance gaps and enable growth.
• Enable sales managers to coach for performance, embedding behaviours that pipeline quality and team productivity.
• Measure sales capability effectiveness, linking learning activity to commercial KPIs including ramp time, quota attainment, win rates and pipeline progression.
• Evolve the sales capability and upskilling approach using performance data, market shifts and product strategy to maintain relevance and impact.
• Partner with global teams to align capability initiatives with launches, go to market strategy and growth initiatives.
• Lead development and training components for global sales events aligning with commercial priorities.

Marketing Product Manager

Associate Consultant

Analista Sênior

Account Manager – Partnerships, Agencies, Banks, Consultancies

Senior AI Scientist

ML Engineer

Software Engineer

Consultant – Product Innovation

Client Consultant

Associate Consultant

Data Analyst

HR Advisor – FTC

Data Analyst – E&C

Associate Data Analyst

Global Training Manager, Sales Enablement