Data Consultant

Data Consultant

Euromonitor · Singapore, Singapore (Hybrid) · Full-time · Posted 2026-08-31

Workplace: hybrid

Department: Research Methods

Description

Overview of the role

The Data Consultant serves as the Data Delivery Lead for complex data and custom research studies, transforming large and complex datasets into high-quality, client-ready solutions that support business decision-making. The role is responsible for ensuring data quality, delivery excellence, and methodological rigour across custom research and consulting engagements. As an individual contributor, the Data Consultant provides technical leadership, collaborates closely with Consulting, Commercial, and Product teams, and leads the delivery of large-scale data projects across ASEAN and North Asia, including Japan and Korea. This position reports directly to the Global Head of Data, with a matrix reporting line to the Regional Head of Consulting.

Key Responsibilities

• Lead end-to-end data delivery for complex consulting and custom research projects, from data sourcing and enrichment through modelling, validation, and final client delivery.
• Own data quality and governance, ensuring robust validation processes, quality controls, documentation standards, and reliable client-ready outputs.
• Act as a trusted data advisor by translating complex datasets and methodologies into clear, actionable insights and recommendations for clients and internal stakeholders.
• Partner with Consulting, Commercial, and Product teams to assess project feasibility, shape data solutions, manage delivery risks, and support business growth opportunities.
• Apply strong analytical and methodological expertise to transform structured and unstructured data into scalable, reliable, and client-ready outputs.
• Drive innovation and process improvement by identifying opportunities to leverage AI, GenAI, automation, and scalable delivery methodologies to improve efficiency and quality.
• Build organisational capability through coaching, knowledge sharing, development of best practices, and strengthening data consulting excellence across teams.
• Coordinate cross-functional and regional stakeholders across ASEAN and North Asia to ensure successful delivery of large-scale data engagements.

Requirements

• Right to work in Singapore
• Bachelor/Master degree in Statistics, Data Analytics, Econometrics, Mathematics, Computer Science, Economics, or another quantitative discipline.
• Experience in data delivery, analytics, market intelligence, consulting, research technology, or other data-driven environments.
• Experience working with large and complex datasets, with proficiency in SQL, Python, R, BI tools, Excel or similar data platforms
• Experience with managing complex, multi-source data and research projects from problem definition through data transformation, validation, and final delivery.
• Strong understanding of data quality controls, validation methodologies, data lineage, and governance best practices.
• Strong collaboration, influencing, presentation, and communication skills with the ability to build credibility across commercial, product, consulting, and data teams
• Ability to translate complex data into clear, actionable, and commercially relevant insights for both technical and non-technical audiences.
• Experience across ASEAN and North Asia markets (particularly Japan and Korea) and regional language capabilities would be desirable

What Success Looks Like

• Successfully lead complex consulting data engagements with clear ownership, high-quality outcomes, and strong stakeholder confidence.
• Deliver trusted, client-ready data solutions through robust quality controls, validation processes, and efficient delivery practices.
• Establish credibility as a strategic data advisor to clients and internal stakeholders.
• Support commercial growth by shaping feasible, scalable, and impactful data solutions.
• Drive continuous improvement through innovation, automation, and best-practice adoption.
• Strengthen organisational capability through coaching, knowledge sharing, and data consulting excellence

Benefits

Why work with us?

Globally diverse, locally united:

Our 16 global offices are melting pots of culture and innovation. Your unique background and perspective are exactly what we need to enrich our collaborative team.  No matter where you're based, you’re part of a global conversation. Feel you're a match?  We're eager to hear from you.

Respect and inclusion at every step:

Your journey with us should be seamless. From application to interview, we're committed to making every process accessible. Need adjustments? Just chat with your recruiter — we’re here for you.

Celebrating you:

Our culture thrives on high performance and recognition. Here, it's not just about what you achieve but how you achieve it too. We celebrate your successes, creating a fulfilling and satisfying work environment.

The things that matter:

We care about your well-being. That’s why we offer competitive salaries, enhanced healthcare, pensions, generous holiday allowances, and a ‘Core hours’ policy that gives you flexibility. Our benefits are designed to support your life, both in and out of work.

Purpose beyond the workplace:

We understand that people want more from their work than just a job. Our Corporate Social Responsibility (CSR) programme empowers every colleague with two volunteering days a year and the chance to donate to a charity of their choice when they join. Whether mentoring locally, fundraising globally, or reducing our environmental impact, we’re all about making a positive difference and unlocking worlds of opportunity.

Your growth, our priority:

We're passionate about enabling  you to excel and adapt in our fast-evolving landscape. With dedicated support for your professional growth, we offer career paths and development opportunities that grow with you.

Equal Employment Opportunity Statement: 

Euromonitor International does not discriminate in employment on the basis of race, colour, religion, sex, national origin, political affiliation, sexual orientation, gender identity, marital status, disability and genetic information, age, membership in an employee organisation, or other non-merit factor.

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