Senior Consultant - Strategy3

Overview

As Senior Consultant, you will lead analytics workstreams on client engagements focused on market strategy, driving high-quality deliverables and client experience. You will mentor junior team members and shape across-project outcomes. The role is hybrid, combining collaboration in London with remote work. You’ll translate briefs into analytical plans, build defensible market views, and present findings that translate insights into action. This is a strategic, client-facing position at Ipsos Strategy3 that emphasises impact, collaboration, and continuous learning.

Pay / Benefits

• 25 days annual leave
• pension contribution
• income protection
• life assurance
• health & wellbeing benefits
• professional development opportunities

Responsibilities

• Own analytics workstreams end-to-end: scoping, solution design, data planning, timelines and stakeholder alignment for market and brand engagements.
• Lead market sizing and opportunity assessment by aggregating data sources to form robust market structure and growth views.
• Build commercial models supporting strategic decisions, including portfolio sizing, pricing scenarios and ROI trade-offs.
• Translate ambiguous briefs into clear hypotheses and justify methodological trade-offs.
• Ensure rigorous QA through validation, sensitivity testing, and sign-off of outputs.
• Engage with clients to highlight capabilities, participate in briefings, and present credentials.
• Contribute to proposals and pitches with fresh perspectives; present findings with actionable narratives.
• Mentor and supervise junior analysts, set standards, and provide regular feedback.

Key requirements

• Experience in analytics, marketing science, consulting, strategy, or related commercial environments.
• Experience delivering analytical projects that integrate multiple data sources for decision-making.
• Experience in market sizing, market assessment, or commercial analysis.
• Experience developing business cases, financial models, and stakeholder recommendations.
• Experience working across multiple projects, teams, or stakeholders.
• Ability to aggregate, analyse and synthesise data from industry, survey, financial and internal datasets.
• Financial modelling skills including scenario analysis and sensitivity testing.
• Proficiency in Python, R, or comparable analytical tools for data ingestion, analysis and modelling.
• Strong analytical and problem-solving ability with translating insights into recommendations.
• Ability to create clear visualisations and communicate findings to diverse audiences.
• Project management skills with planning and delivery across multiple workstreams.
• Ability to communicate complex information effectively to technical and non-technical audiences.

• Strong collaboration across functions
• Initiative and ownership
• Clear written and verbal communication
• Python
• R
• Data ingestion, analysis and modelling

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