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.

Requirements

Minimum of 3 years of high-quality research experience and project management.
Demonstrated experience handling large datasets and synthesizing multiple data sources into high‑quality, commercially relevant insights.
Demonstrated proficiency in client communication and direct client-facing engagements.
A self-motivated, proactive attitude is critical for success.
Experience in CPG, consulting, retail or client-side environment is preferred, but not required.
Excellent oral, written and public speaking/ presentation skills.
Ability to translate diverse data sources into compelling, story-led insights.
High-level strategic and lateral thinking, with the ability to challenge conventions and generate solutions that address both consumer and business needs.
Experience developing and validating revenue-generating concepts using consumer-centric or innovation frameworks (e.g., business model canvas, lean canvas, design thinking).
Familiarity with analytics tools (e.g., Tableau, Power BI, SQL, or Python) and AI‑assisted features that can support analysis is an advantage but not required.
Interest in new product development processes, and familiarity with product positioning including ingredients, claims, or product characteristics is an advantage.
Awareness of commercial acumen and comfort with consultative selling approaches.

Benefits

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Applicant Tracking System Keywords

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Hard Skills & Tools

data analysisquantitative researchdata synthesisstorytellingdata quality assessmentproject managementconsumer insightsrevenue generation conceptsstrategic thinkinginnovation frameworks

Soft Skills

client communicationpresentation skillsproactive attitudecross-functional collaborationproblem-solvingcritical thinkingrelationship managementadaptabilitystorytellinglateral thinking